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Computer Vision Group
Faculty of Informatics
Technical University of Munich

Technical University of Munich

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Shape Analysis

Contact: Dr. Virginia Estellers Casas

Over the last years, the availability of devices for the acquisition of three-dimensional data like laser-scanners, RGB-D Vision or medical imaging devices has dramatically increased. This brings about the need for efficient algorithms to analyze three-dimensional shapes.

Our research is focused on reliable and efficient methods for the automatic interpretation of non-rigid three-dimensional shapes. In particular, we have been working on novel approaches to Shape Matching and on the design of Feature Descriptors.

Matching

The goal of shape matching is to register corresponding surface regions of two given three-dimensional shapes. This means for example to identify the hands, the feet and the head of two human figures. Once two shapes are registered, one can infer morphs between them. The video shows examples of such morphs, e.g. interpolating between a samba dancer and a hip hop dancer. In each of these example sequences, a registration of the first and the last shape has been computed, all intermediate frames are obtained by linear interpolation. The colors visualize regions which have been identified with each other.

A registration of two shapes can be the building block for measuring similarity of shapes and for performing shape statistics.

Mathematically, the task is to find a mapping from the boundary surface of one shape to the other one. This typically results in a very difficult, highly non-convex optimization problem.

We are currently working on efficient algorithms for shape matching with a focus on geometric consistency guarantees and on global optimization.

Feature Descriptors

The goal of feature descriptors is to characterize each point on an object's surface regarding its relation to the entire shape. The feature vectors of four different points of a cat are shown above.

In our research we aim at feature descriptors which are robust to shape articulations while capturing as much information as possible. A very powerful mathematical tool for this task is the eigendecomposition of the Laplace–Beltrami operator.


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Books Book Chapters Journal Articles Preprints Conference and Workshop Papers PhD Thesis Technical Reports Other Publications inproceedings article 
Books
2014
[]Computer Vision: ACCV 2014 (Editors: D. Cremers, I. Reid, H. Saito and M.-S. Yang), Springer, volume 9003-9007, 2014.  [bibtex]
2013
[]Special Issue: Energy Optimization Methods (Guest Editors: Y. Boykov, F. Kahl, V. Lempitsky and F. R. Schmidt), Springer, volume 104, 2013.  [bibtex]
[] Approaches to Probabilistic Model Learning for Mobile Manipulation Robots (J. Sturm), Springer, 2013.  [bibtex] [pdf]
2011
[]Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR) (Editors: Y. Boykov, F. Kahl, V. Lempitsky and F. R. Schmidt), Springer, volume 5681, 2011.  [bibtex]
[]Stereoscopic Scene Flow for 3D Motion Analysis (A. Wedel and D. Cremers), Springer, 2011.  [bibtex] [doi]
2010
[]Video Processing and Computational Video (Editors: D. Cremers, M. Magnor, M. R. Oswald and L. Zelnik-Manor), Springer, volume 7082, 2010.  [bibtex]
2009
[]Statistical and Geometrical Approaches to Visual Motion Analysis (Editors: D. Cremers, B. Rosenhahn, A. L. Yuille and F. R. Schmidt), Springer, volume 5604, 2009.  [bibtex]
[]Energy Minimization Methods for Computer Vision and Pattern Recognition (EMMCVPR) (Editors: D. Cremers, Y. Boykov, A. Blake and F. R. Schmidt), Springer, volume 5681, 2009.  [bibtex]
2007
[]Energy Minimization Methods for Computer Vision and Pattern Recognition (EMMCVPR) (Editors: S.-C. Zhu, A. Yuille, D. Cremers and Y. Wang), Springer, volume 4679, 2007.  [bibtex]
Books Book Chapters Journal Articles Preprints Conference and Workshop Papers PhD Thesis Technical Reports Other Publications inproceedings article 
Book Chapters
2016
[]Applying Random Forests to the Problem of Dense Non-rigid Shape Correspondence (Vestner, M., Rodolà, E., Windheuser, T., Bulò, Rota Bulo, S. and Cremers, D.), Chapter in Perspectives in Shape Analysis, Springer, 2016.  [bibtex]
2015
[]Holistic Image Reconstruction for Diffusion MRI (V. Golkov, J. M. Portegies, A. Golkov, R. Duits and D. Cremers), Chapter in Computational Diffusion MRI, Springer, 2015.  [bibtex] [pdf]Book Chapter, and Oral Presentation at MICCAI 2015 Workshop on Computational Diffusion MRI
[] Perception of Deformable Objects and Compliant Manipulation for Service Robots (J. Stueckler and S. Behnke), Chapter in Soft Robotics: From Theory to Applications (A. Verl, A. Albu-Schäffer, O. Brock, A. Raatz, ed.), Springer, 2015. (to appear) [bibtex] [pdf]
[]Skeleton-Based Recognition of Shapes in Images via Longest Path Matching (G. Bal, J. Diebold, E. W. Chambers, E. Gasparovic, R. Hu, K. Leonard, M. Shaker and C. Wenk), Chapter in Research in Shape Modeling, Springer International Publishing, volume 1, 2015.  [bibtex] [doi] [pdf]
2014
[] Active Recognition and Manipulation for Mobile Robot Bin Picking (D. Holz, M. Nieuwenhuisen, D. Droeschel, J. Stueckler, A. Berner, J. Li, R. Klein and S. Behnke), Chapter in Gearing Up and Accelerating Cross‐fertilization between Academic and Industrial Robotics Research in Europe: Technology Transfer Experiments from the ECHORD Project, Springer, 2014.  [bibtex] [pdf] [doi]
[] Increasing Flexibility of Mobile Manipulation and Intuitive Human-Robot Interaction in RoboCup@Home (J. Stueckler, D. Droeschel, K. Gräve, D. Holz, M. Schreiber, A. Topaldou-Kyniazopoulou, M. Schwarz and S. Behnke), Chapter in RoboCup 2013, Robot Soccer World Cup XVII, Springer, 2014.  [bibtex] [pdf] [doi]
[]Joint Super-Resolution Using Only One Anisotropic Low-Resolution Image per q-Space Coordinate (V. Golkov, J.I. Sperl, M.I. Menzel, T. Sprenger, E.T. Tan, L. Marinelli, C.J. Hardy, A. Haase and D. Cremers), Chapter in Computational Diffusion MRI, Springer, 2014.  [bibtex] [pdf]Book Chapter, and Oral Presentation at MICCAI 2014 Workshop on Computational Diffusion MRI
2013
[] NimbRo@Home: Winning Team of the RoboCup@Home Competition 2012 (J. Stueckler, I. Badami, D. Droeschel, K. Gräve, D. Holz, M. McElhone, M. Nieuwenhuisen, M. Schreiber, M. Schwarz and S. Behnke), Chapter in RoboCup 2012, Robot Soccer World Cup XVI, Springer, 2013.  [bibtex] [pdf] [doi]
[]A Game-Theoretic Approach to Pairwise Clustering and Matching (M. Pelillo, S. Rota Bulo, A. Torsello, A. Albarelli and E. Rodola), Chapter in Similarity-Based Pattern Analysis and Recognition, Springer, 2013.  [bibtex]
[]Moment Constraints in Convex Optimization for Segmentation and Tracking (M. Klodt, F. Steinbruecker and D. Cremers), Chapter in Advanced Topics in Computer Vision, Springer, 2013.  [bibtex] [pdf]
2012
[] Towards Robust Mobility, Flexible Object Manipulation, and Intuitive Multimodal Interaction for Domestic Service Robots (J. Stueckler, D. Droeschel, K. Gräve, D. Holz, J. Kläß, M. Schreiber, R. Steffens and S. Behnke), Chapter in RoboCup 2011, Robot Soccer World Cup XV, Springer, 2012.  [bibtex] [pdf] [doi]
[]Awareness of Road Scene Participants for Autonomous Driving (A. Petrovskaya, M. Perrollaz, L. Oliveira, L. Spinello, R. Triebel, A. Makris, J.-D. Yoder, U. Nunes, C. Laugier and P. Bessière), Chapter in Handbook of Intelligent Vehicles, Springer, 2012.  [bibtex]
[]A Sequential Monte Carlo Method for Multi-Target Tracking with the Intensity Filter (M. Schikora, W. Koch, R. L. Streit and D. Cremers), Chapter in Advances in Intelligent Signal Processing and Data Mining, Springer-Verlag Berlin Heidelberg, 2012.  [bibtex] [pdf]
[]Body Schema Learning (Sturm, J., Plagemann, C. and Burgard, W.), Chapter in Towards Service Robots for Everyday Environments, Springer Berlin/Heidelberg, 2012.  [bibtex] [pdf]
2011
[]Image Segmentation with Shape Priors: Explicit Versus Implicit Representations (D. Cremers), Chapter in Handbook of Mathematical Methods in Imaging, Springer, 2011.  [bibtex] [pdf]
[]Convex Relaxation Techniques for Segmentation, Stereo and Multiview Reconstruction (D. Cremers, T. Pock, K. Kolev and A. Chambolle), Chapter in Markov Random Fields for Vision and Image Processing, MIT Press, 2011.  [bibtex] [pdf]
2010
[]An Introduction to Total Variation for Image Analysis (A. Chambolle, V. Caselles, D. Cremers, M. Novaga and T. Pock), Chapter in Theoretical Foundations and Numerical Methods for Sparse Recovery, De Gruyter, 2010.  [bibtex] [pdf]
2007
[]Efficient kernel density estimation of shape and intensity priors for level set segmentation (D. Cremers and M. Rousson), Chapter in Parametric and Geometric Deformable Models: An application in Biomaterials and Medical Imagery (J. S. Suri, A. Farag, eds.), Springer, 2007.  [bibtex] [pdf]
[]Tracking clothed people (B. Rosenhahn, U. Kersting, K. Powell, T. Brox and H. P. Seidel), Chapter in Human Motion - Understanding, Modeling, Capture, and Animation, Springer, 2007.  [bibtex] [pdf]
[]Contours, optic flow, and prior knowledge: cues for capturing 3D human motion in videos (T. Brox, B. Rosenhahn and D. Cremers), Chapter in Human Motion - Understanding, Modeling, Capture, and Animation, Springer, 2007.  [bibtex] [pdf]
2006
[]Diffusion filters and wavelets: What can they learn from each other? (J. Weickert, G. Steidl, P. Mrázek, M. Welk and T. Brox), Chapter in Handbook of Mathematical Models in Computer Vision (N. Paragios, Y. Chen, O. Faugeras, eds.), Springer, 2006.  [bibtex]
[]PDEs for tensor image processing (J. Weickert, C. Feddern, M. Welk, B. Burgeth and T. Brox), Chapter in Visualization and Processing of Tensor Fields (J. Weickert, H. Hagen, eds.), Springer, 2006.  [bibtex]
[]A survey on variational optic flow methods for small displacements (J. Weickert, A. Bruhn, T. Brox and N. Papenberg), Chapter in Mathematical Models for Registration and Applications to Medical Imaging (O. Scherzer, ed.), Springer, volume 10, 2006.  [bibtex]
[]Integral Invariants and Shape Matching (S. Manay, D. Cremers, B. W. Hong, A. Yezzi and S. Soatto), Chapter in Statistical analysis of shapes (modeling and simulation in science, engineering and technology), Birkhauser, 2006.  [bibtex] [pdf]
[]Probabilistic kernel PCA and its application to statistical shape modeling and inference (D. Cremers and T. Kohlberger), Chapter in Kernel Methods in Bioengineering, Signal and Image Processing (G. Camps-Valls et al., ed.), Idea Group Inc., 2006.  [bibtex]
[]Adaptive structure tensors and their applications (T. Brox, R. van den Boomgaard, F. B. Lauze, J. van de Weijer, J. Weickert, P. Mrázek and P. Kornprobst), Chapter in Visualization and Processing of Tensor Fields (J. Weickert, H. Hagen, eds.), Springer, 2006.  [bibtex]
2005
[]Variational segmentation with shape priors (M. Bergtholdt, D. Cremers and C. Schnörr), Chapter in Handbook of Mathematical Models in Computer Vision (N. Paragios, Y. Chen, O. Faugeras, ed.), Springer, 2005.  [bibtex]
Books Book Chapters Journal Articles Preprints Conference and Workshop Papers PhD Thesis Technical Reports Other Publications inproceedings article 
Journal Articles
2019
[]Functional Maps Representation on Product Manifolds (Rodolà, Emanuele, Lähner, Zorah, Bronstein, Alex M., Bronstein, Michael M. and Solomon, Justin), In Computer Graphics Forum (Proceedings Symposium on Geometry Processing (SGP)), 2019. ([arxiv]) [bibtex] [pdf]
2018
[]A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking (Tjaden, Henning, Schwanecke, Ulrich, Schömer, Elmar and Cremers, Daniel), In IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018.  [bibtex] [pdf]
[]Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform (L. Ma,, J. Stueckler, T. Wu and D. Cremers), In , 2018. ([arxiv]) [bibtex]
[]Omnidirectional DSO: Direct Sparse Odometry with Fisheye Cameras (H. Matsuki, L. von Stumberg, V. Usenko, J. Stueckler and D. Cremers), In IEEE Robotics and Automation Letters & Int. Conference on Intelligent Robots and Systems (IROS), IEEE, 2018. ([arxiv]) [bibtex] [pdf]
[]Online Photometric Calibration of Auto Exposure Video for Realtime Visual Odometry and SLAM (P. Bergmann, R. Wang and D. Cremers), In IEEE Robotics and Automation Letters (RA-L), volume 3, 2018. (This paper was also selected by ICRA'18 for presentation at the conference.[arxiv][video][code][project]) [bibtex] [pdf]ICRA'18 Best Vision Paper Award - Finalist
[]Variational Reflectance Estimation from Multi-view Images (Mélou, J., Quéau, Y., Durou, J.-D., Castan, F. and Cremers, D.), In Journal of Mathematical Imaging and Vision, 2018. ([arxiv]) [bibtex] [doi] [pdf]
[]Variational Methods for Normal Integration (Quéau, Y., Durou, J.-D. and Aujol, J.-F.), In Journal of Mathematical Imaging and Vision, volume 60, 2018. ([arxiv],[codes]) [bibtex] [doi] [pdf]
[]Normal Integration: A Survey (Quéau, Y., Durou, J.-D. and Aujol, J.-F.), In Journal of Mathematical Imaging and Vision, volume 60, 2018. ([arxiv],[codes]) [bibtex] [doi] [pdf]
[]Photometric Depth Super-Resolution (Haefner, B., Peng, S., Verma, A., Quéau, Y. and Cremers, D.), In Submitted to IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Special Issue on RGB-D Vision: Methods and Applications, 2018. ([supp] [arxiv]) [bibtex] [pdf]
[]LED-based Photometric Stereo: Modeling, Calibration and Numerical Solution (Quéau, Y., Durix, B., Wu, T., Cremers, D., Lauze, F. and Durou, J.-D.), In Journal of Mathematical Imaging and Vision, volume 60, 2018. ([arxiv],[codes]) [bibtex] [doi] [pdf]
[]Challenges in Monocular Visual Odometry: Photometric Calibration, Motion Bias and Rolling Shutter Effect (N. Yang, R. Wang, X. Gao and D. Cremers), In IEEE Robotics and Automation Letters (RA-L), volume 3, 2018. (This paper was also selected by IROS'18 for presentation at the conference.[arxiv]) [bibtex] [doi] [pdf]
[]Direct Sparse Odometry (J. Engel, V. Koltun and D. Cremers), In IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018.  [bibtex] [pdf]
2017
[]Tau Like Proteins Reduce Torque Generation in Microtubule Bundles (Krieg, Michael, Stühmer, Jan, Cueva, Juan G, Fetter, Richard, Spilker, Kerri, Cremers, Daniel, Shen, Kang, Dunn, Alex R and Goodman, Miriam B), In Biophysical Journal, Elsevier, volume 112, 2017.  [bibtex]
[]Genetic defects in ß-spectrin and tau sensitize C. elegans axons to movement-induced damage via torque-tension coupling (Krieg, Michael, Stühmer, Jan, Cueva, Juan G, Fetter, Richard, Spilker, Kerri, Cremers, Daniel, Shen, Kang, Dunn, Alexander R and Goodman, Miriam B), In eLife, eLife Sciences Publications Limited, volume 6, 2017.  [bibtex]
[]Fast and accurate surface normal integration on non-rectangular domains (Bähr, M., Breuß, M., Quéau, Y., Bouroujerdi, A. S. and Durou, J.-D.), In Computational Visual Media, volume 3, 2017.  [bibtex] [doi] [pdf]
[]Photometric Stereo with Only Two Images: A Theoretical Study and Numerical Resolution (Quéau, Y., Mecca, R., Durou, J.-D. and Descombes, X.), In Image and Vision Computing, volume 57, 2017.  [bibtex] [doi] [pdf]Editor's choice
2016
[]A Single-Lobe Photometric Stereo Approach for Heterogeneous Material (Mecca, R., Quéau, Y., Logothetis, F. and Cipolla, R.), In SIAM Journal on Imaging Sciences, volume 9, 2016.  [bibtex] [doi] [pdf]
[]White Matter MS-Lesion Segmentation Using a Geometric Brain Model (M. Strumia, F. R. Schmidt, C. Anastasopoulos, C. Granziera, G. Krueger and T. Brox), In IEEE Transactions on Medical Imaging, volume 35, 2016.  [bibtex] [pdf]
[]Non-Rigid Puzzles (O. Litany, E. Rodola, A. M. Bronstein, M. M. Bronstein and D. Cremers), In Computer Graphics Forum, Wiley, volume 35, 2016.  [bibtex] [pdf]Received the Best Paper Award at SGP 2016
[]q-Space Deep Learning: Twelve-Fold Shorter and Model-Free Diffusion MRI Scans (V. Golkov, A. Dosovitskiy, J. I. Sperl, M. I. Menzel, M. Czisch, P. Sämann, T. Brox and D. Cremers), In IEEE Transactions on Medical Imaging, volume 35, 2016. Special Issue on Deep Learning [bibtex] [pdf]Special Issue on Deep Learning
[]Bias and Precision Analysis of Diffusional Kurtosis Imaging for Different Acquisition Schemes (T. Sprenger, J. I. Sperl, B. Fernandez, V. Golkov, I. Eidner, P. G. Sämann, M. Czisch, E. T. Tan, C. J. Hardy, L. Marinelli, A. Haase and M. I. Menzel), In Magnetic Resonance in Medicine, 2016. (early view) [bibtex]
[]An Accurate and Robust Artificial Marker based on Cyclic Codes (F. Bergamasco, A. Albarelli, L. Cosmo, E. Rodola and A. Torsello), In IEEE Transactions on Pattern Analysis and Machine Intelligence, 2016. (to appear) [bibtex] [pdf]
[]Anisotropic Diffusion Descriptors (D. Boscaini, J. Masci, E. Rodola, M. M. Bronstein and D. Cremers), In Computer Graphics Forum - Proc. EUROGRAPHICS, Wiley, volume 35, 2016.  [bibtex] [pdf]
[]Consistent Partial Matching of Shape Collections via Sparse Modeling (L. Cosmo, E. Rodola, A. Albarelli, F. Memoli and D. Cremers), In Computer Graphics Forum, Wiley, 2016.  [bibtex] [pdf]
[]Partial Functional Correspondence (E. Rodola, L. Cosmo, M. M. Bronstein, A. Torsello and D. Cremers), In Computer Graphics Forum, Wiley, 2016.  [bibtex] [pdf]
2015
[]Incremental and Batch Planar Simplification of Dense Point Cloud Maps (T. Whelan, L. Ma, E. Bondarev, P. de With and J. McDonald), In Robotics and Autonomous Systems (RAS) ECMR '13 Special Issue, North-Holland Publishing Co., volume 69, 2015.  [bibtex] [pdf] [video]
[]Introspective classification for robot perception (Hugo Grimmett, Rudolph Triebel, Rohan Paul and Ingmar Posner), In The International Journal of Robotics Research (IJRR), 2015.  [bibtex] [pdf]
[]Cloud-based collaborative 3D mapping in real-time with low-cost robots (G. Mohanarajah, V. Usenko, M. Singh, R. D'Andrea and M. Waibel), In IEEE Transactions on Automation Science and Engineering, IEEE, volume 12, 2015.  [bibtex] [pdf]
[]The Primal-Dual Hybrid Gradient Method for Semiconvex Splittings (T. Möllenhoff, E. Strekalovskiy, M. Möller and D. Cremers), In SIAM Journal on Imaging Sciences, volume 8, 2015.  [bibtex] [pdf]
[]Realistic Photometric Stereo Using Partial Differential Irradiance Equation Ratios (R. Mecca, E. Rodola and D. Cremers), In Computers and Graphics, Elsevier, volume 51, 2015.  [bibtex] [doi] [pdf]
[]A Simple and Effective Relevance-based Point Sampling for 3D Shapes (E. Rodola, A. Albarelli, D. Cremers and A. Torsello), In Pattern Recognition Letters, Elsevier, volume 59, 2015.  [bibtex] [pdf] [code]
[]Multi-Layered Mapping and Navigation for Autonomous Micro Aerial Vehicles (D. Droeschel, M. Nieuwenhuisen, M. Beul, J. Stueckler, D. Holz and S. Behnke), In Journal of Field Robotics, 2015. (to appear) [bibtex]
[]NimbRo Explorer: Semi-Autonomous Exploration and Mobile Manipulation in Rough Terrain (J. Stueckler, M. Schwarz, M. Schadler, A. Topalidou-Kyniazopoulou and S. Behnke), In Journal of Field Robotics, 2015. (to appear) [bibtex]
[] Efficient Dense Rigid-Body Motion Segmentation and Estimation in RGB-D Video (J. Stueckler and S. Behnke), In International Journal of Computer Vision, Springer US, 2015.  [bibtex] [pdf] [doi]
[]Efficient Reactive Navigation with Exact Collision Determination for 3D Robot Shapes (M. Jaimez, J. L. Blanco Claraco and J. Gonzalez-Jimenez), In International Journal of Advanced Robotic Systems, volume 12, 2015. ([video]) [bibtex] [pdf]
[]Fast Visual Odometry for 3-D Range Sensors (M. Jaimez and J. Gonzalez-Jimenez), In IEEE Transactions on Robotics, volume 31, 2015. ([video]) [bibtex] [pdf]
[]Field phenotyping of grapevine growth using dense stereo reconstruction (M. Klodt, K. Herzog, R. Töpfer and D. Cremers), In BMC Bioinformatics, volume 16, 2015.  [bibtex]
[]Car detection by fusion of HOG and causal MRF (S. Madhogaria, P. M. Baggenstoss, M. Schikora, W. Koch and D. Cremers), In IEEE T. on Aerospace and Electronic Systems, volume 51, 2015.  [bibtex]
[]The Role of Diffusion in Figure Hunt Games (J. Diebold, S. Tari and D. Cremers), In Journal of Mathematical Imaging and Vision, Springer, volume 52, 2015.  [bibtex] [doi] [pdf]
[] Midrange Geometric Interactions for Semantic Segmentation (J. Diebold, C. Nieuwenhuis and D. Cremers), In International Journal of Computer Vision, Springer US, 2015. Special Issue on Graphical Models for Scene Understanding [bibtex] [pdf] [doi] [pdf]
[]Fast and Accurate Surface Alignment through an Isometry-Enforcing Game (A. Albarelli, E. Rodola and A. Torsello), In Pattern Recognition, Elsevier, volume 48, 2015.  [bibtex] [doi] [pdf]
2014
[] Multi-Resolution Surfel Maps for Efficient Dense 3D Modeling and Tracking (J. Stueckler and S. Behnke), In Journal of Visual Communication and Image Representation, volume 25, 2014.  [bibtex] [pdf] [doi]
[] Dense Real-Time Mapping of Object-Class Semantics from RGB-D Video (J. Stueckler, B. Waldvogel, H. Schulz and S. Behnke), In Journal of Real-Time Image Processing, Springer, 2014.  [bibtex] [pdf] [doi]
[] Rough Terrain Mapping and Navigation using a Continuously Rotating 2D Laser Scanner (M. Schadler, J. Stueckler and S. Behnke), In Künstliche Intelligenz, Springer, volume 28, 2014.  [bibtex] [pdf] [doi]
[]Robust Region Detection via Consensus Segmentation of Deformable Shapes (E. Rodola, S. Rota Bulo and D. Cremers), In Computer Graphics Forum, Wiley, volume 33, 2014.  [bibtex] [pdf] [code]
[]Scale-Aware Navigation of a Low-Cost Quadrocopter with a Monocular Camera (J. Engel, J. Sturm and D. Cremers), In Robotics and Autonomous Systems (RAS), volume 62, 2014.  [bibtex] [pdf]
[]Convex Relaxation of Vectorial Problems with Coupled Regularization (E. Strekalovskiy, A. Chambolle and D. Cremers), In SIAM Journal on Imaging Sciences, volume 7, 2014.  [bibtex] [pdf]
[]A Super-resolution Framework for High-Accuracy Multiview Reconstruction (B. Goldluecke, M. Aubry, K. Kolev and D. Cremers), In International Journal of Computer Vision, volume 106, 2014.  [bibtex] [pdf]
2013
[]Introduction to the special issue on visual understanding and applications with RGB-D cameras (Liu, Z., Beetz, M., Cremers, D., Gall, J., Li, W., Pangercic, D., Sturm, J. and Tai, Y.-W.), In Journal of Visual Communication and Image Representation (JVCI), 2013.  [bibtex]
[]3D Mapping with an RGB-D Camera (F. Endres, J. Hess, J. Sturm, D. Cremers and W. Burgard), In IEEE Transactions on Robotics (T-RO), volume 30, 2013.  [bibtex] [pdf]
[]Tight Convex Relaxations for Vector-Valued Labeling (B. Goldluecke, E. Strekalovskiy and D. Cremers), In SIAM Journal on Imaging Sciences, volume 6, 2013.  [bibtex] [pdf]
[]A Survey and Comparison of Discrete and Continuous Multi-label Optimization Approaches for the Potts Model (C. Nieuwenhuis, E. Toeppe and D. Cremers), In International Journal of Computer Vision, volume 104, 2013. (Code available) [bibtex] [pdf]
[]Spatially Varying Color Distributions for Interactive Multi-Label Segmentation (C. Nieuwenhuis and D. Cremers), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 35, 2013. (Code available) [bibtex] [pdf]
[]Stable and Fast Techniques for Unambiguous Compound Phase Coding (A. Torsello, A. Albarelli and E. Rodola), In Image and Vision Computing, volume 31, 2013.  [bibtex] [doi] [pdf]
[]A Scale Independent Selection Process for 3D Object Recognition in Cluttered Scenes (E. Rodola, A. Albarelli, F. Bergamasco and A. Torsello), In International Journal of Computer Vision, Springer US, volume 102, 2013.  [bibtex] [doi] [pdf]
2012
[] RoboCup@Home: Demonstrating Everyday Manipulation Skills in RoboCup@Home (J. Stueckler, R. Steffens, D. Holz and S. Behnke), In IEEE Robotics and Automation Magazine, volume 19, 2012.  [bibtex] [pdf] [doi]
[] Efficient 3D Object Perception and Grasp Planning for Mobile Manipulation in Domestic Environments (J. Stueckler, R. Steffens, D. Holz and S. Behnke), In Robotics and Autonomous Systems, volume 61, 2012.  [bibtex] [pdf] [doi]
[]Total Cyclic Variation and Generalizations (D. Cremers and E. Strekalovskiy), In Journal of Mathematical Imaging and Vision, volume 47, 2012.  [bibtex] [pdf]
[]An image classification approach to analyze the suppression of plant immunity by the human pathogen Salmonella Typhimurium (M. Schikora, B. Neupane, S. Madhogaria, W. Koch, D. Cremers, H. Hirt, K.-H. Kogel and A. Schikora), In BMC Bioinformatics, volume 13, 2012.  [bibtex] [pdf]
[]Online-6D-SLAM für RGB-D-Sensoren (F. Endres, J. Hess, N. Engelhard, J. Sturm and W. Burgard), In at - Automatisierungstechnik, volume 60, 2012.  [bibtex] [pdf]
[]Fast Joint Estimation of Silhouettes and Dense 3D Geometry from Multiple Images (K. Kolev, T. Brox and D. Cremers), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 34, 2012.  [bibtex] [pdf]
[]On the André motive of certain irreducible symplectic varieties (U. Schlickewei), In Geometriae Dedicata, volume 156, 2012.  [bibtex] [pdf]
[]The Natural Total Variation Which Arises from Geometric Measure Theory (B. Goldluecke, E. Strekalovskiy and D. Cremers), In SIAM Journal on Imaging Sciences, volume 5, 2012.  [bibtex] [pdf]
[]Image segmentation with one shape prior - A template-based formulation (S. Chen, D. Cremers and R. J. Radke), In Image and Vision Computing, volume 30, 2012.  [bibtex] [pdf]
[]Optimal Solutions for Semantic Image Decomposition (D. Cremers), In Image and Vision Computing, volume 30, 2012.  [bibtex] [pdf]
[]A linear framework for region-based image segmentation and inpainting involving curvature penalization (T. Schoenemann, F. Kahl, S. Masnou and D. Cremers), In International Journal of Computer Vision, volume 99, 2012.  [bibtex] [pdf]
[]A Coding Cost Framework for Super-resolution Motion Layer Decomposition (T. Schoenemann and D. Cremers), In IEEE Transactions on Image Processing, volume 21, 2012.  [bibtex] [pdf]
[]A Convex Approach to Minimal Partitions (A. Chambolle, D. Cremers and T. Pock), In SIAM Journal on Imaging Sciences, volume 5, 2012.  [bibtex] [pdf]
[]Imposing Semi-local Geometric Constraints for Accurate Correspondences Selection in Structure from Motion: a Game-Theoretic Perspective (A. Albarelli, E. Rodola and A. Torsello), In International Journal of Computer Vision, Springer US, volume 97, 2012.  [bibtex] [doi] [pdf]Invited submission
2011
[]Bootstrap Optical Flow and Uncertainty Measure (J. Kybic and C. Nieuwenhuis), In Computer Vision and Image Understanding, volume 115, 2011.  [bibtex] [pdf]
[]A Probabilistic Framework for Learning Kinematic Models of Articulated Objects (J. Sturm, C. Stachniss and W. Burgard), In Journal on Artificial Intelligence Research (JAIR), volume 41, 2011.  [bibtex] [pdf]
[]A Variational Approach to Vesicle Membrane Reconstruction from Fluorescence Imaging (K. Kolev, N. Kirchgessner, S. Houben, A. Csiszar, W. Rubner, C. Palm, B. Eiben, R. Merkel and D. Cremers), In Pattern Recognition, volume 44, 2011.  [bibtex] [pdf]
[]Tactile Sensing for Mobile Manipulation (S. Chitta, J. Sturm, M. Piccoli and W. Burgard), In IEEE Transactions on Robotics (T-RO), 2011.  [bibtex] [pdf]
[]Motion Field Estimation from Alternate Exposure Images (A. Sellent, M. Eisemann, B. Goldluecke, D. Cremers and M. Magnor), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 33, 2011.  [bibtex] [pdf]
[]The Elastic Ratio: Introducing Curvature into Ratio-Based Globally Optimal Image Segmentation (T. Schoenemann, S. Masnou and D. Cremers), In IEEE Transactions on Image Processing, volume 20, 2011.  [bibtex] [pdf]
[]Stereoscopic Scene Flow Computation for 3D Motion Understanding (A. Wedel, T. Brox, T. Vaudrey, C. Rabe, U. Franke and D. Cremers), In International Journal of Computer Vision, volume 95, 2011.  [bibtex] [pdf]
[]Multiview Stereo and Silhouette Consistency via Convex Functionals over Convex Domains (D. Cremers and K. Kolev), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 33, 2011.  [bibtex] [pdf]
[]Large-Scale Integer Linear Programming for Orientation-Preserving 3D Shape Matching (T. Windheuser, U. Schlickewei, F. R. Schmidt and D. Cremers), In Computer Graphics Forum (Proceedings Symposium Geometry Processing), Eurographics, volume 30, 2011.  [bibtex] [pdf]
2010
[]Multiclass Multimodal Detection and Tracking in Urban Environments (L.Spinello, R. Triebel and R. Siegwart), In International Journal of Robotics Research, 2010.  [bibtex] [pdf]
[]Movement Directionality in Collective Migration of Germ Layer Progenitors (Y. Arboleda-Estudillo, M. Krieg, J. Stühmer, N. A. Licata, D. J. Muller and C.-P. Heisenberg), In Current Biology, volume 20, 2010.  [bibtex]
[]Stability of tautological vector bundles on Hilbert squares of surfaces (U. Schlickewei), In Rendiconti del Seminario Matematico della Universitá di Padova, volume 124, 2010.  [bibtex] [pdf]
[]The Hodge conjecture for self-products of certain K3 surfaces (U. Schlickewei), In Journal of Algebra, volume 324, 2010.  [bibtex] [pdf]
[]A Combinatorial Solution for Model-based Image Segmentation and Real-time Tracking (T. Schoenemann and D. Cremers), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 32, 2010.  [bibtex] [pdf]
[]Global Solutions of Variational Models with Convex Regularization (T. Pock, D. Cremers, H. Bischof and A. Chambolle), In SIAM Journal on Imaging Sciences, volume 3, 2010.  [bibtex] [pdf]
2009
[]Control of convergent yolk syncytial layer nuclear movement in zebrafish (Carvalho, L., Stühmer, J., Bois, J. S., Kalaidzidis, Y., Lecaudey, V. and Heisenberg, C. P.), In Development, volume 136, 2009.  [bibtex]
[] An appearance-based visual compass for mobile robots (J. Sturm, and A. Visser), In Robotics and Autonomous Systems, volume 57, 2009.  [bibtex] [pdf] [doi] [pdf]
[] Body schema learning for robotic manipulators from visual self-perception (J. Sturm, C. Plagemann and W. Burgard), In Journal of Physiology-Paris, volume 103, 2009. (Neurorobotics) [bibtex] [pdf] [doi] [pdf]
[]Folgen von Höhenfußpunktdreiecken und ihre Grenzpunkte (E. Strekalovskiy), In Elemente der Mathematik, volume 64, 2009.  [bibtex]
[]Hodge classes on self-products of K3 surfaces (U. Schlickewei), In Bonner Mathematische Schriften, volume 395, 2009. (Ph.D. thesis) [bibtex] [pdf]
[]B-Spline Modeling of Road Surfaces with an Application to Free Space Estimation (A. Wedel, C. Rabe, H. Badino, H. Loose, U. Franke and D. Cremers), In Transactions on Intelligent Transportation Systems, volume 10, 2009.  [bibtex] [pdf]
[]Continuous Global Optimization in Multiview 3D Reconstruction (K. Kolev, M. Klodt, T. Brox and D. Cremers), In International Journal of Computer Vision, volume 84, 2009.  [bibtex] [pdf]
[]Combined region- and motion-based 3D tracking of rigid and articulated objects (T. Brox, B. Rosenhahn, J. Gall and D. Cremers), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 32, 2009.  [bibtex] [pdf]
[]On local region models and a statistical interpretation of the piecewise smooth Mumford-Shah functional (T. Brox and D. Cremers), In International Journal of Computer Vision, volume 84, 2009.  [bibtex] [pdf]
2008
[] Hierarchical Reactive Control for Humanoid Soccer Robots (S. Behnke and J. Stueckler), In International Journal of Humanoid Robots, volume 5, 2008.  [bibtex] [pdf]
[]Monte Carlo localization in outdoor terrains using multilevel surface maps (R. Kümmerle, R. Triebel, P.Pfaff and W. Burgard), In Journal of Field Robotics, volume 25, 2008.  [bibtex] [pdf]
[]Tailoring the magnetoresistance of MnAs/GaAs:Mn granular hybrid nanostructures (C. Michel, M. T. Elm, B. Goldluecke, S. D. Baranovskii, P. Thomas, W. Heimbrodt and P. J. Klar), In Applied Physics Letters, volume 92, 2008.  [bibtex] [pdf]
[]Influence of non-random incorporation of Mn ions on the magnetotransport properties of $Ga_{1-x}Mn_{x}As$ alloys (C. Michel, M. T. Elm, S. D. Baranovskii, P. Thomas, W. Heimbrodt, B. Goldluecke and P. J. Klar), In Physica status solidi. C. Current topics in solid state physics, volume 5, 2008.  [bibtex] [pdf]
[]3-D Reconstruction of Shaded Objects from Multiple Images Under Unknown Illumination (H. Jin, D. Cremers, D. Wang, A. Yezzi, E. Prados and S. Soatto), In International Journal of Computer Vision, volume 76, 2008.  [bibtex] [pdf]
[]Nonlinear Dynamical Shape Priors for Level Set Segmentation (D. Cremers), In Journal of Scientific Computing, volume 35, 2008.  [bibtex] [pdf]
[]Efficient Nonlocal Means for Denoising of Textural Patterns (T. Brox, O. Kleinschmidt and D. Cremers), In IEEE Transactions on Image Processing, volume 17, 2008.  [bibtex] [pdf]
2007
[]Non-iterative Vision-based Interpolation of 3D Laser Scans (H. Andreasson, R. Triebel and A. Lilienthal), In Autonomous Robots and Agents, volume 76, 2007.  [bibtex] [pdf]
[]An Efficient Extension to Elevation Maps for Outdoor Terrain Mapping and Loop Closing (P. Pfaff, R. Triebel and W. Burgard), In International Journal of Robotics Research (IJRR), volume 26, 2007.  [bibtex] [pdf]
[]Supervised semantic labeling of places using information extracted from sensor data (Ó. Martínez Mozos, R. Triebel, P. Jensfelt, A. Rottmann and W. Burgard), In Journal on Robotics and Autonomous Systems (RAS), volume 55, 2007.  [bibtex] [pdf]
[]Quantitative modeling of the annealing-induced changes of the magnetotransport in $Ga_{1-x}Mn_{x}As$ alloys (C. Michel, S. D. Baranovskii, P. Thomas, W. Heimbrodt, M. T. Elm, P. J. Klar, B. Goldluecke, U. Wurstbauer, M. Reinwald and W. Wegscheider), In Journal of Applied Physics, volume 102, 2007.  [bibtex] [pdf]
[]Weighted Minimal Hypersurface Reconstruction (B. Goldluecke, I. Ihrke, C. Linz and M. Magnor), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 29, 2007.  [bibtex] [pdf]
[]A review of statistical approaches to level set segmentation: integrating color, texture, motion and shape (D. Cremers, M. Rousson and R. Deriche), In International Journal of Computer Vision, volume 72, 2007.  [bibtex] [pdf]
[]Computer Lernen Sehen (D. Cremers), In Industrial Vision, volume 2, 2007.  [bibtex] [pdf]
[]Three-dimensional shape knowledge for joint image segmentation and pose tracking (B. Rosenhahn, T. Brox and J. Weickert), In International Journal of Computer Vision, volume 73, 2007. (available online) [bibtex]
[]Algorithmic Differentiation: Application to Variational Problems in Computer Vision (T. Pock, M. Pock and H. Bischof), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 29, 2007.  [bibtex]
2006
[]Strong non-Arrhenius temperature dependence of the resistivity in the regime of traditional band transport (C. Michel, S. D. Baranovskii, P. J. Klar, P. Thomas and B. Goldluecke), In Applied Physics Letters, volume 89, 2006.  [bibtex] [pdf]
[]Integral invariants for shape matching (S. Manay, D. Cremers, B.-W. Hong, A. Yezzi and S. Soatto), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 28, 2006.  [bibtex] [pdf]
[]A multiphase dynamic labeling model for variational recognition-driven image segmentation (D. Cremers, N. Sochen and C. Schnörr), In International Journal of Computer Vision, volume 66, 2006.  [bibtex] [pdf]
[]Kernel density estimation and intrinsic alignment for shape priors in level set segmentation (D. Cremers, S. J. Osher and S. Soatto), In International Journal of Computer Vision, volume 69, 2006.  [bibtex] [pdf]
[]Dynamical statistical shape priors for level set based tracking (D. Cremers), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 28, 2006.  [bibtex] [pdf]
2005
[]Spin-dependent localization effects in GaAs:Mn/MnAs granular paramagnetic-ferromagnetic hybrids at low temperatures (C. Michel, C.H. Thien, S. Ye, P.J. Klar, W. Heimbrodt, S.D. Baranovskii, P. Thomas, M. Lampalzer, K. Volz, W. Stolz and B. Goldluecke), In J. Superlattices and Microstructures, Elsevier, volume 37, 2005.  [bibtex] [pdf]
[]Motion Competition: A variational framework for piecewise parametric motion segmentation (D. Cremers and S. Soatto), In International Journal of Computer Vision, volume 62, 2005.  [bibtex] [pdf]
2003
[]Binary partitioning, perceptual grouping, and restoration with semidefinite programming (J. Keuchel, C. Schnörr, C. Schellewald and D. Cremers), In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 25, 2003.  [bibtex] [pdf]
[]Statistical shape knowledge in variational motion segmentation (D. Cremers and C. Schnörr), In Image and Vision Computing, volume 21, 2003.  [bibtex] [pdf]
[]Shape Statistics in Kernel Space for Variational Image Segmentation (D. Cremers, T. Kohlberger and C. Schnörr), In Pattern Recognition, volume 36, 2003.  [bibtex] [pdf]Awarded Best Paper of the Year 2003
2002
[]Diffusion Snakes: Introducing statistical shape knowledge into the Mumford–Shah functional (D. Cremers, F. Tischhäuser, J. Weickert and C. Schnörr), In International Journal of Computer Vision, volume 50, 2002.  [bibtex] [pdf]
[]Travelling waves of exitation in neural field models: Equivalence of rate descriptions and integrate-and-fire dynamics (D. Cremers and A. V. M. Herz), In Neural Computation, volume 14, 2002.  [bibtex] [pdf]
1999
[]Flow equations for the Héon-Heiles Hamiltonian (D. Cremers and A. Mielke), In Physica D, volume 126, 1999.  [bibtex] [pdf]
Books Book Chapters Journal Articles Preprints Conference and Workshop Papers PhD Thesis Technical Reports Other Publications inproceedings article 
Preprints
2019
[]Linear Inequality Constraints for Neural Network Activations (Thomas Frerix, Matthias Nießner and Daniel Cremers), In preprint, 2019. (arXiv) [bibtex]
2016
[]Bayesian Inference of Bijective Non-Rigid Shape Correspondence (Vestner, M., Litman, R., Bronstein, A., Rodola, E. and Cremers, D.), In arXiv preprint arXiv:1607.03425, 2016. ([slides]) [bibtex] [pdf]
2007
[]Fully automated segmentation and morphometrical analysis of muscle fibre images (Y.-J. Kim, T. Brox, W. Feiden and J. Weickert), In Cytometry Part A, volume 71, 2007. (available online) [bibtex]
2006
[]Numerical aspects of TV flow (M. Breuß, T. Brox, A. Bürgel, T. Sonar and J. Weickert), In Numerical Algorithms, volume 41, 2006.  [bibtex]
[]Nonlinear structure tensors (T. Brox, J. Weickert, B. Burgeth and P. Mrázek), In Image and Vision Computing, volume 24, 2006.  [bibtex]
[]Highly accurate optic flow computation with theoretically justified warping (N. Papenberg, A. Bruhn, T. Brox, S. Didas and J. Weickert), In International Journal of Computer Vision, volume 67, 2006.  [bibtex]
[]A TV flow based local scale estimate and its application to texture discrimination (T. Brox and J. Weickert), In Journal of Visual Communication and Image Representation, volume 17, 2006.  [bibtex]
[]Level Set Segmentation with Multiple Regions (T. Brox and J. Weickert), In IEEE Transactions on Image Processing, volume 15, 2006.  [bibtex]
2004
[]On the equivalence of soft wavelet shrinkage, total variation diffusion, total variation regularization, and SIDEs (G. Steidl, J. Weickert, T. Brox, P. Mrázek and M. Welk), In SIAM Journal on Numerical Analysis, volume 42, 2004.  [bibtex] [pdf]
Books Book Chapters Journal Articles Preprints Conference and Workshop Papers PhD Thesis Technical Reports Other Publications inproceedings article 
Conference and Workshop Papers
2019
[]Negative-Unlabeled Learning for Diffusion MRI (P. Swazinna, V. Golkov, I. Lipp, E. Sgarlata, V. Tomassini, D. K. Jones and D. Cremers), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2019.  [bibtex] [pdf]
2018
[]Fight ill-posedness with ill-posedness: Single-shot variational depth super-resolution from shading (Haefner, B., Quéau, Y., Möllenhoff, T. and Cremers, D.), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. ([supp] [code] [cvf][video]) [bibtex] [pdf] [video]Spotlight Presentation
[]Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs (P. Wenzel, Q. Khan, D. Cremers and L. Leal-Taixé), In Conference on Robot Learning (CoRL), 2018. ([arXiv][videos]) [bibtex] [pdf]
[]Simultaneous Calibration and Mapping (C. Nissler, M. Durner, Z.-C. Márton and R. Triebel), In International Symposium on Experimental Robotics (ISER), 2018.  [bibtex] [pdf]
[]6DoF Pose Estimation for Industrial Manipulation based on Synthetic Data (M. Brucker, M. Durner, Z.-C. Márton, F. Bálint-Benczédi, M. Sundermeyer and R. Triebel), In International Symposium on Experimental Robotics (ISER), 2018.  [bibtex] [pdf]
[]Robust Fitting of Subdivision Surfaces for Smooth Shape Analysis (V. Estellers, F. Schmidt and D. Cremers), In Proc. of the Int. Conference on 3D Vision (3DV), 2018. ([Code]) [bibtex] [pdf]Received the Best Paper Award at 3DV 2018
[]Incremental Semi-Supervised Learning from Streams for Object Classification (I. Chiotellis, F. Zimmermann, D. Cremers and R. Triebel), In International Conference on Intelligent Robots and Systems (IROS), 2018. ([code]) [bibtex] [pdf]
[]Appearance-Based Along-Route Localization for Planetary Missions (I. Grixa, P. Schulz, W. Stürzl and R. Triebel), In International Conference on Intelligent Robots and Systems (IROS), 2018.  [bibtex]
[]Persistent Anytime Learning of Objects from Unseen Classes (M. Denninger and R. Triebel), In International Conference on Intelligent Robots and Systems (IROS), 2018.  [bibtex]Best Cognitive Robotics Paper Finalist
[]Implicit 3D Orientation Learning for 6D Object Detection from RGB Images (M. Sundermeyer, Z. Marton, M. Durner, M. Brucker and R. Triebel), In European Conference on Computer Vision (ECCV), 2018.  [bibtex]Best Paper Award
[]The Double Sphere Camera Model (V. Usenko, N. Demmel and D. Cremers), In Proc. of the Int. Conference on 3D Vision (3DV), 2018. ([arxiv]) [bibtex] [arXiv:1807.08957] [pdf]
[]Direct Sparse Odometry With Rolling Shutter (D. Schubert, N. Demmel, V. Usenko, J. Stueckler and D. Cremers), In European Conference on Computer Vision (ECCV), 2018. ([supplementary][arxiv]) [bibtex] [pdf]Oral Presentation
[]Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry (N. Yang, R. Wang, J. Stueckler and D. Cremers), In European Conference on Computer Vision (ECCV), 2018. ([arxiv],[supplementary],[video],[talk],[project]) [bibtex]Oral Presentation
[]DeepWrinkles: Accurate and Realistic Clothing Modeling (Z. Lähner, D. Cremers and T. Tung), In European Conference on Computer Vision (ECCV), 2018. ([Homepage], [Oral Presentation]) [bibtex] [pdf]Oral Presentation
[]Divergence-Free Shape Interpolation and Correspondence (M. Eisenberger, Z. Lähner and D. Cremers), In arXiv:1806.10417, 2018. ([arxiv]) [bibtex]
[]q-Space Novelty Detection with Variational Autoencoders (A. Vasilev, V. Golkov, I. Lipp, E. Sgarlata, V. Tomassini, D. K. Jones and D. Cremers), In ArXiv preprint, 2018. (arXiv:1806.02997) [bibtex] [pdf]
[]LDSO: Direct Sparse Odometry with Loop Closure (X. Gao, R. Wang, N. Demmel and D. Cremers), In International Conference on Intelligent Robots and Systems (IROS), 2018. ([arxiv][video][code][project]) [bibtex]
[]The TUM VI Benchmark for Evaluating Visual-Inertial Odometry (D. Schubert, T. Goll, N. Demmel, V. Usenko, J. Stueckler and D. Cremers), In International Conference on Intelligent Robots and Systems (IROS), 2018. ([arxiv]) [bibtex]
[]Direct Sparse Visual-Inertial Odometry using Dynamic Marginalization (L. von Stumberg, V. Usenko and D. Cremers), In International Conference on Robotics and Automation (ICRA), 2018. ([supplementary][video][arxiv]) [bibtex] [pdf]
[]Semantic Labeling of Indoor Environments from 3D RGB Maps (M. Brucker, M. Durner, R. Ambrus, Z.-C. Marton, A. Wendt, P. Jensfelt, K.O. Arras and R. Triebel), In International Conference on Robotics and Automation (ICRA), 2018.  [bibtex]
[]Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs (E. Laude, J.-H. Lange, J. Schüpfer, C. Domokos, L. Leal-Taixé, F. R. Schmidt, B. Andres and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.  [bibtex] [pdf]
[]Proximal Backpropagation (T. Frerix, T. Möllenhoff, M. Moeller and D. Cremers), In International Conference on Learning Representations (ICLR), 2018. (arXiv:1706.04638, code) [bibtex]
[]What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation? (Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy and Thomas Brox), In International Journal of Computer Vision, 2018. (arxiv) [bibtex] [arXiv:1801.06397]
[]Associative Deep Clustering - Training a Classification Network with no Labels (P. Haeusser, J. Plapp, V. Golkov, E. Aljalbout and D. Cremers), In Proc. of the German Conference on Pattern Recognition (GCPR), 2018.  [bibtex] [pdf]
[]Clustering with Deep Learning: Taxonomy and New Methods (E. Aljalbout, V. Golkov, Y. Siddiqui and D. Cremers), In ArXiv preprint, 2018. (arXiv:1801.07648) [bibtex]
[]Precursor microRNA Identification Using Deep Convolutional Neural Networks (B. T. Do, V. Golkov, G. E. Gürel and D. Cremers), In bioRxiv preprint, 2018. (bioRxiv:414656) [bibtex] [pdf]
[]q-Space Deep Learning for Alzheimer's Disease Diagnosis: Global Prediction and Weakly-Supervised Localization (V. Golkov, P. Swazinna, M. M. Schmitt, Q. A. Khan, C. M. W. Tax, M. Serahlazau, F. Pasa, F. Pfeiffer, G. J. Biessels, A. Leemans and D. Cremers), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2018.  [bibtex] [pdf]
[]q-Space Novelty Detection in Short Diffusion MRI Scans of Multiple Sclerosis (V. Golkov, A. Vasilev, F. Pasa, I. Lipp, W. Boubaker, E. Sgarlata, F. Pfeiffer, V. Tomassini, D. K. Jones and D. Cremers), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2018.  [bibtex] [pdf]
[]Combinatorial Preconditioners for Proximal Algorithms on Graphs (T. Möllenhoff, Z. Ye, T. Wu and D. Cremers), In International Conference on Artificial Intelligence and Statistics (AISTATS), 2018.  [bibtex] [pdf]
[]A Nonconvex Proximal Splitting Algorithm under Moreau-Yosida Regularization (E. Laude, T. Wu and D. Cremers), In International Conference on Artificial Intelligence and Statistics (AISTATS), 2018.  [bibtex] [pdf]
[]Deep Depth From Focus (Caner Hazirbas, Sebastian Georg Soyer, Maximilian Christian Staab, Laura Leal-Taixé and Daniel Cremers), In Asian Conference on Computer Vision (ACCV), 2018. ([arxiv], [dataset]) [bibtex]
2017
[]Depth Super-Resolution Meets Uncalibrated Photometric Stereo (Peng, S., Haefner, B., Quéau, Y. and Cremers, D.), In International Conference on Computer Vision Workshops (ICCVW), 2017. ([code],[cvf]) [bibtex] [pdf]Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision
[]SAMP: Shape and Motion Priors for 4D Vehicle Reconstruction (F. Engelmann, J. Stueckler and B. Leibe), In IEEE Winter Conference on Applications of Computer Vision, WACV, 2017.  [bibtex]
[]Keyframe-Based Visual-Inertial Online SLAM with Relocalization (A. Kasyanov, F. Engelmann, J. Stueckler and B. Leibe), In IEEE/RSJ Int. Conference on Intelligent Robots and Systems, IROS, 2017.  [bibtex]
[]Semi-Supervised Deep Learning for Monocular Depth Map Prediction (Kuznietsov, Y., Stueckler, J. and Leibe, B.), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.  [bibtex]
[]Regularization for Deep Learning: A Taxonomy (J. Kukačka, V. Golkov and D. Cremers), In ArXiv preprint, 2017. (arXiv:1710.10686) [bibtex] [pdf]
[]A Combinatorial Solution to Non-Rigid 3D Shape-to-Image Matching (F. Bernard, F. R. Schmidt, J. Thunberg and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.  [bibtex] [pdf]
[]A Variational Approach to Shape-from-shading Under Natural Illumination (Quéau, Y., Mélou, J., Castan, F., Cremers, D. and Durou, J.-D.), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2017. ([codes]) [bibtex] [doi] [pdf]
[]Experience-based Optimization of Robotic Perception (Maximilian Durner, Simon Kriegel, Sebastian Riedel, Manuel Brucker, Zoltan-Csaba Marton, Ferenc Balint-Benczedi and Rudolph Triebel), In International Conference on Advanced Robotics (ICAR), 2017.  [bibtex]
[]How Robots Learn to Classify New Objects Trained from Small Data Sets (Tick Son Wang, Zoltan-Csaba Marton, Manuel Brucker and Rudolph Triebel), In Conference on Robot Learning (CoRL), 2017.  [bibtex]
[]A Method for Hand-Eye and Camera-to-Camera Calibration for Limited Fields of View (Christian Nissler, Zoltan-Csaba Marton, Hannes Kisner, Ulrike Thomas and Rudolph Triebel), In International Conference on Intelligent Robots and Systems (IROS), 2017.  [bibtex]
[]Selecting CNN Features for Online Learning of 3D Objects (Monika Ullrich, Haider Ali, Maximilian Durner, Zoltan-Csaba Marton and Rudolph Triebel), In International Conference on Intelligent Robots and Systems (IROS), 2017.  [bibtex]
[]Sublabel-Accurate Discretization of Nonconvex Free-Discontinuity Problems (T. Möllenhoff and D. Cremers), In International Conference on Computer Vision (ICCV), 2017. ([supp]) [bibtex] [pdf]
[]Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras (Wang, R., Schwörer, M. and Cremers, D.), In International Conference on Computer Vision (ICCV), 2017. ([supplementary][video][arxiv][project]) [bibtex] [pdf]
[]Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting (Maier, R., Kim, K., Cremers, D. and Kautz, J.), In International Conference on Computer Vision (ICCV), 2017. ([slides] [poster] [dataset]) [bibtex] [pdf]
[]Multiframe Scene Flow with Piecewise Rigid Motion (Golyanik, V., Kim, K., Maier, R., Nießner, M., Stricker, D. and Kautz, J.), In International Conference on 3D Vision (3DV), 2017. ([slides] [poster] [supplementary]) [bibtex] [pdf]
[]Efficient Online Surface Correction for Real-time Large-Scale 3D Reconstruction (Maier, R., Schaller, R. and Cremers, D.), In British Machine Vision Conference (BMVC), 2017. ([poster] [supplementary]) [bibtex] [pdf]
[]Efficient Deformable Shape Correspondence via Kernel Matching (M. Vestner, Z. Lähner, A. Boyarski, O. Litany, R. Slossberg, T. Remez, E. Rodolà, A. M. Bronstein, M. M. Bronstein, R. Kimmel and D. Cremers), In International Conference on 3D Vision (3DV), 2017. ([arxiv],[Code]) [bibtex] [pdf]Oral Presentation
[]Stéréophotométrie microscopique sans démosaïquage (Quéau, Y., Pizenberg, M., Cremers, D. and Durou, J.-D.), In GRETSI, 2017.  [bibtex] [pdf]
[]Associative Domain Adaptation (P. Haeusser, T. Frerix, A. Mordvintsev and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2017. ([code] [PDF from CVF]) [bibtex] [pdf]
[]Better Text Understanding Through Image-To-Text Transfer (K. Kurach, S. Gelly, M. Jastrzebski, P. Haeusser, O. Teytaud, D. Vincent and O. Bousquet), In arxiv:1705.08386, 2017.  [bibtex] [pdf]
[]Dense Multi-view 3D-reconstruction Without Dense Correspondences (Quéau, Y., Mélou, J., Durou, J.-D. and Cremers, D.), In ArXiv preprint 1704.00337, 2017. ([arxiv]) [bibtex] [pdf]
[]One-Shot Video Object Segmentation (S. Caelles, K.-K. Maninis, J. Pont-Tuset, L. Leal-Taixé, D. Cremers and L. Van Gool), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.  [bibtex] [pdf]
[]Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems (Tim Meinhardt, Michael Moeller, Caner Hazirbas and Daniel Cremers), In IEEE International Conference on Computer Vision (ICCV), 2017. ([arxiv], [code]) [bibtex]
[]A Non-Convex Variational Approach to Photometric Stereo under Inaccurate Lighting (Quéau, Y., Wu, T., Lauze, F., Durou, J.-D. and Cremers, D.), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. ([codes]) [bibtex] [pdf]
[]Simultaneous Reconstruction and Segmentation of CT Scans with Shadowed Data (Lauze, F., Quéau, Y. and Plenge, E.), In International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 2017.  [bibtex] [pdf]
[]Beyond Multi-view Stereo: Shading-Reflectance Decomposition (Mélou, J., Quéau, Y., Durou, J.-D., Castan, F. and Cremers, D), In International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 2017.  [bibtex] [pdf]
[]Semi-Calibrated Near-Light Photometric Stereo (Quéau, Y., Wu, T. and Cremers, D.), In International Conference on Scale Space and Variational Methods in Computer Vision (SSVM), 2017. ([codes]) [bibtex] [pdf]
[]Real-Time Trajectory Replanning for MAVs using Uniform B-splines and a 3D Circular Buffer (V. Usenko, L. von Stumberg, A. Pangercic and D. Cremers), In International Conference on Intelligent Robots and Systems (IROS), 2017. ([arxiv]) [bibtex] [pdf]Best Paper Award - Finalist (link)
[]KillingFusion: Non-rigid 3D Reconstruction without Correspondences (Miroslava Slavcheva, Maximilian Baust, Daniel Cremers and Slobodan Ilic), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.  [bibtex] [pdf]
[]Learning by Association - A versatile semi-supervised training method for neural networks (P. Haeusser, A. Mordvintsev and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. ([code] [PDF from CVF]) [bibtex] [pdf]
[]Microgeometry capture and RGB albedo estimation by photometric stereo without demosaicing (Quéau, Y., Pizenberg, M., Durou, J.-D. and Cremers, D.), In International Conference on Quality Control by Artificial Vision (QCAV), 2017. ([codes]) [bibtex] [pdf]
[]3D Deep Learning for Biological Function Prediction from Physical Fields (V. Golkov, M. J. Skwark, A. Mirchev, G. Dikov, A. R. Geanes, J. Mendenhall, J. Meiler and D. Cremers), In ArXiv preprint, 2017. (arXiv:1704.04039) [bibtex] [pdf]
[]Establishment of an interdisciplinary workflow of machine learning-based Radiomics in sarcoma patients (J.C. Peeken, C. Knie, V. Golkov, K. Kessel, F. Pasa, Q. Khan, M. Seroglazov, J. Kukačka, T. Goldberg, L. Richter, J. Reeb, B. Rost, F. Pfeiffer, D. Cremers, F. Nüsslin and S.E. Combs), In 23. Jahrestagung der Deutschen Gesellschaft für Radioonkologie (DEGRO), 2017.  [bibtex]
[]Image-based localization using LSTMs for structured feature correlation (Florian Walch, Caner Hazirbas, Laura Leal-Taixé, Torsten Sattler, Sebastian Hilsenbeck and Daniel Cremers), In IEEE International Conference on Computer Vision (ICCV), 2017. ([arxiv]) [bibtex]
[]From Monocular SLAM to Autonomous Drone Exploration (L. von Stumberg, V. Usenko, J. Engel, J. Stueckler and D. Cremers), In European Conference on Mobile Robots (ECMR), 2017.  [bibtex] [pdf]
[]De-noising, Stabilizing and Completing 3D Reconstructions On-the-go using Plane Priors (Dzitsiuk, M., Sturm, J., Maier, R., Ma, L. and Cremers, D.), In International Conference on Robotics and Automation (ICRA), 2017. ([video]) [bibtex] [pdf]
[]Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space (Vestner, M., Litman, R., Rodola, E., Bronstein, A. and Cremers, D.), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. ([Code]) [bibtex] [pdf]
[]Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras (L. Ma, J. Stueckler, C. Kerl and D. Cremers), In International Conference on Intelligent Robots and Systems (IROS), 2017.  [bibtex] [pdf]
[]An Efficient Background Term for 3D Reconstruction and Tracking with Smooth Subdivision Surface Models (M. Jaimez, T. J. Cashman, A. Fitzgibbon, J. Gonzalez-Jimenez and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. ([video]) [bibtex] [pdf]
[]Fast Odometry and Scene Flow from RGB-D Cameras based on Geometric Clustering (M. Jaimez, C. Kerl, J. Gonzalez-Jimenez and D. Cremers), In Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), 2017. ([video]) [bibtex] [pdf]
2016
[]Joint Object Pose Estimation and Shape Reconstruction in Urban Street Scenes Using 3D Shape Priors (F. Engelmann, J. Stueckler and B. Leibe), In Proc. of the German Conference on Pattern Recognition (GCPR), 2016.  [bibtex]
[]Scene Flow Propagation for Semantic Mapping and Object Discovery in Dynamic Street Scenes (D. Kochanov, A. Osep, J. Stueckler and B. Leibe), In IEEE/RSJ Int. Conference on Intelligent Robots and Systems, IROS, 2016.  [bibtex]
[]Unsupervised Learning of Shape-Motion Patterns for Objects in Urban Street Scenes (D. Klostermann, A. Osep, J. Stueckler and B. Leibe), In British Machine Vision Conference (BMVC), 2016.  [bibtex]
[]Learning to Drive using Inverse Reinforcement Learning and Deep Q-Networks (S. Sharifzadeh, I. Chiotellis, R. Triebel and D. Cremers), In , NIPS Workshops, 2016. ([arxiv]) [bibtex] [pdf]
[]A Convex Solution to Spatially-Regularized Correspondence Problems (T. Windheuser and D. Cremers), In European Conference on Computer Vision (ECCV), 2016.  [bibtex] [pdf]
[]FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-based CNN Architecture (C. Hazirbas, L. Ma, C. Domokos and D. Cremers), In Asian Conference on Computer Vision, 2016. ([code]) [bibtex] [pdf]
[]Non-Rigid 3D Shape Retrieval via Large Margin Nearest Neighbor Embedding (I. Chiotellis, R. Triebel, T. Windheuser and D. Cremers), In European Conference on Computer Vision (ECCV), 2016. ([code]) [bibtex] [pdf]
[]Sublabel-Accurate Convex Relaxation of Vectorial Multilabel Energies (E. Laude, T. Möllenhoff, M. Moeller, J. Lellmann and D. Cremers), In European Conference on Computer Vision (ECCV), 2016. ([supp] [code]) [bibtex] [pdf]
[]Direct Sparse Odometry (J. Engel, V. Koltun and D. Cremers), In arXiv:1607.02565, 2016.  [bibtex] [pdf]
[]A Photometrically Calibrated Benchmark For Monocular Visual Odometry (J. Engel, V. Usenko and D. Cremers), In arXiv:1607.02555, 2016.  [bibtex] [pdf]
[]CPA-SLAM: Consistent Plane-Model Alignment for Direct RGB-D SLAM (L. Ma, C. Kerl, J. Stueckler and D. Cremers), In International Conference on Robotics and Automation (ICRA), 2016.  [bibtex] [pdf]
[]Sublabel-Accurate Relaxation of Nonconvex Energies (T. Möllenhoff, E. Laude, M. Moeller, J. Lellmann and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ([supp] [code]) [bibtex] [pdf]Oral Presentation, Received the Best Paper Honorable Mention Award at CVPR 2016
[]SHREC’16: Partial Matching of Deformable Shapes (L. Cosmo, E. Rodola, M. M. Bronstein, A. Torsello, D. Cremers and Y. Sahillioglu), In Proc. of Eurographics Workshop on 3D Object Retrieval (3DOR), 2016. (to appear) [bibtex] [pdf]
[] SHREC’16: Matching of Deformable Shapes with Topological Noise (Z. Lähner, E. Rodola, M. M. Bronstein, D. Cremers, O. Burghard, L. Cosmo, A. Dieckmann, R. Klein and Y. Sahillioglu), In Proc. of Eurographics Workshop on 3D Object Retrieval (3DOR), 2016. ([Dataset]) [bibtex] [pdf] [pdf]
[]Stream-based Active Learning for Efficient and Adaptive Classification of 3D Objects (A. Narr, R. Triebel and D. Cremers), In International Conference on Robotics and Automation (ICRA), 2016.  [bibtex] [pdf]
[]Direct Visual-Inertial Odometry with Stereo Cameras (V. Usenko, J. Engel, J. Stueckler and D. Cremers), In International Conference on Robotics and Automation (ICRA), 2016.  [bibtex] [pdf] [video]
[] Efficient Globally Optimal 2D-to-3D Deformable Shape Matching (Z. Lähner, E. Rodola, F. R. Schmidt, M. M. Bronstein and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. ([Code], [Homepage]) [bibtex] [pdf] [pdf]
[]Protein Contact Prediction from Amino Acid Co-Evolution Using Convolutional Networks for Graph-Valued Images (V. Golkov, M. J. Skwark, A. Golkov, A. Dosovitskiy, T. Brox, J. Meiler and D. Cremers), In Annual Conference on Neural Information Processing Systems (NIPS), 2016. ([video]) [bibtex] [pdf]Oral Presentation (acceptance rate: under 2%)
[]Model-Free Novelty-Based Diffusion MRI (V. Golkov, T. Sprenger, J. I. Sperl, M. I. Menzel, M. Czisch, P. Sämann and D. Cremers), In IEEE International Symposium on Biomedical Imaging (ISBI), 2016.  [bibtex] [pdf]
[] A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation (N.Mayer, E.Ilg, P.Haeusser, P.Fischer, D.Cremers, A.Dosovitskiy and T.Brox), In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016. (arXiv:1512.02134) [bibtex] [pdf] [pdf]
[]Planar Odometry from a Radial Laser Scanner. A Range Flow-based Approach (M. Jaimez, J. G. Monroy and J. Gonzalez-Jimenez), In Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), 2016. ([video]) [bibtex] [pdf]
2015
[]Model-Based Tracking at 300Hz using Raw Time-of-Flight Observations (J. Stühmer, S. Nowozin, A. Fitzgibbon, R. Szeliski, T. Perry, S. Acharya, D. Cremers and J. Shotton), In IEEE International Conference on Computer Vision (ICCV), 2015. ([video]) [bibtex] [pdf]
[]Video Segmentation with Just a Few Strokes (N. Nagaraja, F. R. Schmidt and T. Brox), In IEEE International Conference on Computer Vision (ICCV), 2015.  [bibtex] [pdf]
[]CAPTCHA Recognition with Active Deep Learning (F. Stark, C. Hazirbas, R. Triebel and D. Cremers), In GCPR Workshop on New Challenges in Neural Computation, 2015. ([code]) [bibtex] [pdf]
[]Entropy Minimization for Convex Relaxation Approaches (M. Souiai, M. R. Oswald, Y. Kee, J. Kim, M. Pollefeys and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2015. (accepted) [bibtex] [pdf]
[]Dense Continuous-Time Tracking and Mapping with Rolling Shutter RGB-D Cameras (C. Kerl, J. Stueckler and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2015. ([video][supplementary][datasets]) [bibtex] [pdf]
[]Point-wise Map Recovery and Refinement from Functional Correspondence (E. Rodola, M. Moeller and D. Cremers), In Proceedings Vision, Modeling and Visualization (VMV), 2015.  [bibtex] [pdf]Received the Best Paper Award
[]Motion Cooperation: Smooth Piece-Wise Rigid Scene Flow from RGB-D Images (M. Jaimez, M. Souiai, J. Stueckler, J. Gonzalez-Jimenez and D. Cremers), In Proc. of the Int. Conference on 3D Vision (3DV), 2015. ([video]) [bibtex] [pdf]
[]Reconstructing Street-Scenes in Real-Time From a Driving Car (V. Usenko, J. Engel, J. Stueckler and D. Cremers), In Proc. of the Int. Conference on 3D Vision (3DV), 2015.  [bibtex] [pdf]
[]Super-Resolution Keyframe Fusion for 3D Modeling with High-Quality Textures (R. Maier, J. Stueckler and D. Cremers), In International Conference on 3D Vision (3DV), 2015. ([slides] [poster]) [bibtex] [pdf]
[]Semi-supervised Online Learning for Efficient Classification of Objects in 3D Data Streams (Y. Tao, R. Triebel and D. Cremers), In International Conference on Intelligent Robots and Systems (IROS), 2015.  [bibtex] [pdf]
[]Large-Scale Direct SLAM for Omnidirectional Cameras (D. Caruso, J. Engel and D. Cremers), In International Conference on Intelligent Robots and Systems (IROS), 2015.  [bibtex] [pdf] [video]
[]Large-Scale Direct SLAM with Stereo Cameras (J. Engel, J. Stueckler and D. Cremers), In International Conference on Intelligent Robots and Systems (IROS), 2015.  [bibtex] [pdf] [video]
[] Real-Time Object Detection, Localization and Verification for Fast Robotic Depalletizing (D. Holz, A. Topalidou-Kyniazopoulou, J. Stueckler and S. Behnke), In International Conference on Intelligent Robots and Systems (IROS), 2015.  [bibtex] [pdf]
[]SPENCER: A Socially Aware Service Robot for Passenger Guidance and Help in Busy Airports (R. Triebel, K. Arras, R. Alami, L. Beyer, S. Breuers, R. Chatila, M. Chetouani, D. Cremers, V. Evers, M. Fiore, H. Hung, O. A. Islas Ramírez, M. Joosse, H. Khambhaita, T. Kucner, B. Leibe, A. J. Lilienthal, T. Linder, M. Lohse, M. Magnusson, B. Okal, L. Palmieri, U. Rafi, M. van Rooij and L. Zhang), In Proc. Field and Service Robotics (FSR), 2015.  [bibtex] [pdf]
[]FlowNet: Learning Optical Flow with Convolutional Networks (A. Dosovitskiy, P. Fischer, E. Ilg, P. Haeusser, C. Hazirbas, V. Golkov, P. van der Smagt, D. Cremers and T. Brox), In IEEE International Conference on Computer Vision (ICCV), 2015. ([video],[code]) [bibtex] [doi] [pdf]
[]q-Space Deep Learning for Twelve-Fold Shorter and Model-Free Diffusion MRI Scans (V. Golkov, A. Dosovitskiy, P. Sämann, J. I. Sperl, T. Sprenger, M. Czisch, M. I. Menzel, P. A. Gómez, A. Haase, T. Brox and D. Cremers), In Medical Image Computing and Computer Assisted Intervention (MICCAI), 2015.  [bibtex] [pdf]
[]Free-Breathing, Self-Navigated RUFIS Lung Imaging with Motion Compensated Image Reconstruction (A. Menini, V. Golkov and F. Wiesinger), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2015.  [bibtex]
[]Robustness of Phase Sensitive Reconstruction in Diffusion Spectrum Imaging (M.I. Menzel, T. Sprenger, E.T. Tan, V. Golkov, C.J. Hardy, L. Marinelli and J.I. Sperl), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2015.  [bibtex]
[]Using Diffusion and Structural MRI for the Automated Segmentation of Multiple Sclerosis Lesions (P.A. Gómez, T. Sprenger, A.A. López, J.I. Sperl, B. Fernandez, M. Molina-Romero, X. Liu, V. Golkov, M. Czisch, P. Saemann, M.I. Menzel and B.H. Menze), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2015.  [bibtex]
[]Active Online Confidence Boosting for Efficient Object Classification (D. Mund, R. Triebel and D. Cremers), In Proc. IEEE International Conference on Robotics and Automation (ICRA), 2015.  [bibtex] [pdf]
[]Adopting an Unconstrained Ray Model in Light-field Cameras for 3D Shape Reconstruction (F. Bergamasco, A. Albarelli, L. Cosmo, A. Torsello, E. Rodola and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.  [bibtex] [pdf]
[]Analysis of Surface Parametrizations for Modern Photometric Stereo Modeling (R. Mecca, E. Rodola and D. Cremers), In International Conference on Quality Control by Artificial Vision (QCAV), 2015.  [bibtex] [pdf]
[]A Fast Projection Method for Connectivity Constraints in Image Segmentation (J. Stühmer and D. Cremers), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR) (X.-C. Tai, E. Bae, T. F. Chan, M. Lysaker, eds.), 2015.  [bibtex] [pdf]
[]A Primal-Dual Framework for Real-Time Dense RGB-D Scene Flow (M. Jaimez, M. Souiai, J. Gonzalez-Jimenez and D. Cremers), In Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), 2015. ([video]) [bibtex] [pdf]
[]Low Rank Priors for Color Image Regularization (T. Möllenhoff, E. Strekalovskiy, M. Möller and D. Cremers), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2015.  [bibtex] [pdf]
[]グラフマッチング学習を用いたRGB-D画像からの物体検出 [Graph matching gakushuu wo mochiita RGB-D gazou kara no buttai kenshutsu] - Learning graph matching for object detection from RGB-D images (A. Kanezaki, E. Rodola and T. Harada), In 第20回ロボティクスシンポジア - Robotics Symposia (RS), 2015.  [bibtex] [pdf]
[]Optimizing the Relevance-Redundancy Tradeoff for Efficient Semantic Segmentation (C. Hazirbas, J. Diebold and D. Cremers), In Scale Space and Variational Methods in Computer Vision (SSVM), 2015. ([code]) [bibtex] [doi] [pdf]Oral Presentation
[]Interactive Multi-label Segmentation of RGB-D Images (J. Diebold, N. Demmel, C. Hazirbas, M. Möller and D. Cremers), In Scale Space and Variational Methods in Computer Vision (SSVM), 2015. ([code]) [bibtex] [doi] [pdf]
[]Learning Nonlinear Spectral Filters for Color Image Reconstruction (M. Moeller, J. Diebold, G. Gilboa and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2015.  [bibtex] [pdf]
2014
[]Dense Elastic 3D Shape Matching (F. R. Schmidt, T. Windheuser, U. Schlickewei and D. Cremers), In Global Optimization Methods, Springer, volume 8293, 2014.  [bibtex] [pdf]
[] Mobile Teleoperation Interfaces with Adjustable Autonomy for Personal Service Robots (M. Schwarz, J. Stueckler and S. Behnke), In Proceedings of the 2014 ACM/IEEE International Conference on Human-robot Interaction, Advances in Computational Mathematics, 2014.  [bibtex] [pdf] [doi]
[] Local multi-resolution representation for 6D motion estimation and mapping with a continuously rotating 3D laser scanner (D. Droeschel, J. Stueckler and S. Behnke), In Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), 2014.  [bibtex] [pdf] [doi]
[] Efficient deformable registration of multi-resolution surfel maps for object manipulation skill transfer (J. Stueckler and S. Behnke), In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), 2014.  [bibtex] [pdf] [doi]
[] Combining the Strengths of Sparse Interest Point and Dense Image Registration for RGB-D Odometry (J. Stueckler, A. Gutt and S. Behnke), In Proc. of the Joint 45th International Symposium on Robotics (ISR) and 8th German Conference on Robotics (ROBOTIK), 2014.  [bibtex] [pdf]
[] Local Multi-Resolution Surfel Grids for MAV Motion Estimation and 3D Mapping (D. Droeschel, J. Stueckler and S. Behnke), In Proc. of the 13th International Conference on Intelligent Autonomous Systems (IAS), 2014.  [bibtex] [pdf]
[] Adaptive Tool-Use Strategies for Anthropomorphic Service Robots (J. Stueckler and S. Behnke), In Proc. of the 14th IEEE-RAS International Conference on Humanoid Robots (Humanoids), 2014.  [bibtex] [pdf]
[]Towards Illumination-invariant 3D Reconstruction using ToF RGB-D Cameras (C. Kerl, M. Souiai, J. Sturm and D. Cremers), In International Conference on 3D Vision (3DV), 2014. ([supplementary]) [bibtex] [pdf]
[]INS-Camera Calibration without Ground Control Points (D. Bender, M. Schikora, J. Sturm and D. Cremers), In 9th IEEE ISIF Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2014.  [bibtex] [pdf]
[]Learning Similarities for Rigid and Non-Rigid Object Detection (A. Kanezaki, E. Rodola, D. Cremers and T. Harada), In International Conference on 3D Vision (3DV), 2014.  [bibtex] [pdf]
[]Environment-adaptive Learning: How Clustering Helps to Obtain Good Training Data (S. Debnath, S. S. Baishya, R. Triebel, V. Dutt and D. Cremers), In KI 2014: Advances in Artificial Intelligence (Carsten Lutz, Michael Thielscher, eds.), Springer, 2014.  [bibtex] [pdf]
[]Active Online Learning for Interactive Segmentation Using Sparse Gaussian Processes (R. Triebel, J. Stühmer, M. Souiai and D. Cremers), In German Conference on Pattern Recognition, 2014.  [bibtex] [pdf]
[]Visual-Inertial Navigation for a Camera-Equipped 25g Nano-Quadrotor (O. Dunkley, J. Engel, J. Sturm and D. Cremers), In IROS2014 Aerial Open Source Robotics Workshop, 2014.  [bibtex] [pdf] [video]
[]Anisotropic Laplace-Beltrami Operators for Shape Analysis (M. Andreux, E. Rodola, M. Aubry and D. Cremers), In Sixth Workshop on Non-Rigid Shape Analysis and Deformable Image Alignment (NORDIA), 2014.  [bibtex] [pdf]
[]対応点集合類似度学習を用いた剛体・非剛体物体検出 [Taiou tenshuugou ruijido gakushuu wo mochiita goutai-higoutai buttai kenshutsu] (A. Kanezaki, E. Rodola, D. Cremers and T. Harada), In 信学技報 - Pattern Recognition and Media Understanding (PRMU), volume 114, 2014.  [bibtex] [pdf]
[]RGB-D画像からの物体検出における対応点集合類似度の学習 [RGB-D gazou kara no buttai kenshutsu ni okeru taiou tenshuugou ruijido no gakushuu] (A. Kanezaki, E. Rodola and T. Harada), In 第32回日本ロボット学会学術講演会 - The Robotics Society of Japan (RSJ), 2014.  [bibtex] [pdf]2015 研究奨励賞 Encouragement Award
[]Real-Time Minimization of the Piecewise Smooth Mumford-Shah Functional (E. Strekalovskiy and D. Cremers), In European Conference on Computer Vision (ECCV), 2014. (Code available) [bibtex] [pdf] [video]
[]Generalized Connectivity Constraints for Spatio-temporal 3D Reconstruction (M. R. Oswald, J. Stühmer and D. Cremers), In European Conference on Computer Vision (ECCV), 2014.  [bibtex] [pdf] [video]
[]Co-Sparse Textural Similarity for Interactive Segmentation (C. Nieuwenhuis, S. Hawe, M. Kleinsteuber and D. Cremers), In European Conference on Computer Vision (ECCV), 2014.  [bibtex] [pdf]
[]Surface Normal Integration for Convex Space-time Multi-view Reconstruction (M. R. Oswald and D. Cremers), In British Machine Vision Conference (BMVC), 2014.  [bibtex] [pdf] [video]
[]Spatial and Temporal Interpolation of Multi-View Image Sequences (T. Gurdan, M. R. Oswald, D. Gurdan and D. Cremers), In German Conference on Pattern Recognition (GCPR), volume 36, 2014.  [bibtex] [pdf] [video]
[]Submap-based Bundle Adjustment for 3D Reconstruction from RGB-D Data (R. Maier, J. Sturm and D. Cremers), In German Conference on Pattern Recognition (GCPR), 2014. ([slides]) [bibtex] [pdf]
[]Flow and Color Inpainting for Video Completion (M. Strobel, J. Diebold and D. Cremers), In German Conference on Pattern Recognition (GCPR), 2014.  [bibtex] [doi] [pdf]Oral Presentation
[]Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis (T. Windheuser, M. Vestner, E. Rodola, R. Triebel and D. Cremers), In British Machine Vision Conference (BMVC), 2014.  [bibtex] [pdf]
[]Semi-Dense Visual Odometry for AR on a Smartphone (T. Schöps, J. Engel and D. Cremers), In International Symposium on Mixed and Augmented Reality, 2014.  [bibtex] [pdf] [video]Best Short Paper Award
[]LSD-SLAM: Large-Scale Direct Monocular SLAM (J. Engel, T. Schöps and D. Cremers), In European Conference on Computer Vision (ECCV), 2014.  [bibtex] [pdf] [video]Oral Presentation
[]Collision Avoidance for Quadrotors with a Monocular Camera (H. Alvarez, L.M. Paz, J. Sturm and D. Cremers), In Proc. of The 12th International Symposium on Experimental Robotics (ISER), 2014.  [bibtex] [pdf]
[]Sequential Convex Relaxation for Mutual-Information-Based Unsupervised Figure-Ground Segmentation (Y. Kee, M. Souiai, D. Cremers and J. Kim), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.  [bibtex] [pdf]
[]Dense Non-Rigid Shape Correspondence Using Random Forests (E. Rodola, S. Rota Bulo, T. Windheuser, M. Vestner and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.  [bibtex] [pdf] [code]
[]Volumetric 3D Mapping in Real-Time on a CPU (F. Steinbruecker, J. Sturm and D. Cremers), In International Conference on Robotics and Automation (ICRA), 2014.  [bibtex] [pdf]
[]Event-based 3D SLAM with a depth-augmented dynamic vision sensor (D. Weikersdorfer, D. B. Adrian, D. Cremers, J. Conrad), In International Conference on Robotics and Automation (ICRA), 2014.  [bibtex] [pdf]
[]Improved Diffusion Kurtosis Imaging and Direct Propagator Estimation Using 6-D Compressed Sensing (V. Golkov, M.I. Menzel, T. Sprenger, M. Souiai, A. Haase, D. Cremers and J.I. Sperl), In Organization for Human Brain Mapping (OHBM) Annual Meeting, 2014.  [bibtex]
[]Semi-Joint Reconstruction for Diffusion MRI Denoising Imposing Similarity of Edges in Similar Diffusion-Weighted Images (V. Golkov, M.I. Menzel, T. Sprenger, A. Haase, D. Cremers and J.I. Sperl), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2014.  [bibtex]
[]Direct Reconstruction of the Average Diffusion Propagator with Simultaneous Compressed-Sensing-Accelerated Diffusion Spectrum Imaging and Image Denoising by Means of Total Generalized Variation Regularization (V. Golkov, M.I. Menzel, T. Sprenger, M. Souiai, A. Haase, D. Cremers and J.I. Sperl), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2014.  [bibtex]
[]Total Variation-Regularized Compressed Sensing Reconstruction for Multi-Shell Diffusion Kurtosis Imaging (J.I. Sperl, T. Sprenger, E.T. Tan, V. Golkov, M.I. Menzel, C.J. Hardy and L. Marinelli), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2014.  [bibtex]
[]Novel Acquisition Scheme for Diffusion Kurtosis Imaging Based on Compressed-Sensing Accelerated DSI Yielding Superior Image Quality (T. Sprenger, J.I. Sperl, B. Fernandez, V. Golkov, E.T. Tan, C.J. Hardy, L. Marinelli, M. Czisch, P. Sämann, A. Haase and M.I. Menzel), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2014.  [bibtex]
2013
[]Planar simplification and texturing of dense point cloud maps (L. Ma, T. Whelan, E. Bondarev, P. H. N. de With and J. McDonald), In Mobile Robots (ECMR), 2013 European Conference on, 2013.  [bibtex] [doi] [pdf] [video]
[]Fast Trust Region for Segmentation (L. Gorelick, F. R. Schmidt and Y. Boykov), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.  [bibtex] [pdf]
[] Mobile bin picking with an anthropomorphic service robot (M. Nieuwenhuisen, D. Droeschel, D. Holz, J. Stueckler, A. Berner, Jun Li, R. Klein and S. Behnke), In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), 2013.  [bibtex] [pdf] [doi]
[] Hierarchical Object Discovery and Dense Modelling From Motion Cues in RGB-D Video (J. Stueckler and S. Behnke), In Proc. of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), IJCAI/AAAI, 2013.  [bibtex] [pdf]
[] Combining contour and shape primitives for object detection and pose estimation of prefabricated parts (A. Berner, Jun Li, D. Holz, J. Stueckler, S. Behnke and R. Klein), In Proc. of the 20th IEEE International Conference on Image Processing (ICIP), 2013.  [bibtex] [pdf] [doi]
[] Distinctive 3D surface entropy features for place recognition. (T. Fiolka, J. Stueckler, D. A. Klein, D. Schulz and S. Behnke), In Proc. of the European Conference on Mobile Robots (ECMR), IEEE, 2013.  [bibtex] [pdf]
[] Joint detection and pose tracking of multi-resolution surfel models in RGB-D (M. McElhone, J. Stueckler and S. Behnke), In Proc. of the European Conference on Mobile Robots (ECMR), IEEE, 2013.  [bibtex] [pdf]
[] Efficient Dense 3D Rigid-Body Motion Segmentation in RGB-D Video (J. Stueckler and S. Behnke), In Proc. of the British Machine Vision Conference (BMVC), 2013.  [bibtex] [pdf]
[] Multi-resolution surfel mapping and real-time pose tracking using a continuously rotating 2D laser scanner (M. Schadler, J. Stueckler and S. Behnke), In Proc. of the IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR), 2013.  [bibtex] [pdf] [doi]
[]Relaxations for Minimizing Metric Distortion and Elastic Energies for 3D Shape Matching (D. Cremers, E. Rodola and T. Windheuser), In Actes des recontres du CIRM: Courbure discrete: théorie et applications, volume 3, 2013.  [bibtex] [pdf]
[]Driven Learning for Driving: How Introspection Improves Semantic Mapping (R. Triebel, H. Grimmett, R. Paul and I. Posner), In The International Symposium on Robotics Research (ISRR), 2013.  [bibtex] [pdf]
[]Interactive Person Following and Gesture Recognition with a Flying Robot (T. Naseer, J. Sturm and D. Cremers), In Proc. of the Assistance and Service Robotics Workshop (ASROB) at the IEEE. Int. Conf. on Intelligent Robots and Systems (IROS), 2013.  [bibtex] [pdf]
[]Large-Scale Multi-Resolution Surface Reconstruction from RGB-D Sequences (F. Steinbruecker, C. Kerl, J. Sturm and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2013.  [bibtex] [pdf]
[]A Convex Relaxation Approach to Space Time Multi-view 3D Reconstruction (M. R. Oswald and D. Cremers), In ICCV Workshop on Dynamic Shape Capture and Analysis (4DMOD), 2013.  [bibtex] [pdf]
[]Fast and Accurate Large-scale Stereo Reconstruction using Variational Methods (G. Kuschk and D. Cremers), In ICCV Workshop on Big Data in 3D Computer Vision, 2013.  [bibtex] [pdf]
[]Tree Shape Priors with Connectivity Constraints using Convex Relaxation on General Graphs (J. Stühmer, P. Schröder and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2013.  [bibtex] [pdf]Oral Presentation
[]Proportion Priors for Image Sequence Segmentation (C. Nieuwenhuis, E. Strekalovskiy and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2013. (oral presentation) [bibtex] [pdf] [video]
[]Total Variation Regularization for Functions with Values in a Manifold (J. Lellmann, E. Strekalovskiy, S. Koetter and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2013.  [bibtex] [pdf]
[]Elastic Net Constraints for Shape Matching (E. Rodola, A. Torsello, T. Harada, Y. Kuniyoshi and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2013.  [bibtex] [pdf] [code]
[]Semi-Dense Visual Odometry for a Monocular Camera (J. Engel, J. Sturm and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2013.  [bibtex] [pdf] [video]
[]Efficient Shape Matching using Vector Extrapolation (E. Rodola, T. Harada, Y. Kuniyoshi and D. Cremers), In British Machine Vision Conference (BMVC), 2013.  [bibtex] [pdf]
[]CopyMe3D: Scanning and Printing Persons in 3D (J. Sturm, E. Bylow, F. Kahl and D. Cremers), In German Conference on Pattern Recognition (GCPR), 2013.  [bibtex] [pdf]
[]Graph-based bundle adjustment for INS-camera calibration (D. Bender, M. Schikora, J. Sturm and D. Cremers), In Unmanned Aerial Vehicle in Geomatics (UAV-g), 2013.  [bibtex] [pdf]Best research paper award
[]Dense Tracking and Mapping with a Quadrocopter (J. Sturm, E. Bylow, F. Kahl and D. Cremers), In Unmanned Aerial Vehicle in Geomatics (UAV-g), 2013.  [bibtex] [pdf]
[]Scale-Aware Object Tracking with Convex Shape Constraints on RGB-D Images (M. Klodt, J. Sturm and D. Cremers), In German Conference on Pattern Recognition (GCPR), 2013.  [bibtex] [pdf]
[]FollowMe: Person Following and Gesture Recognition with a Quadrocopter (T. Naseer, J. Sturm and D. Cremers), In Proc. of the Int. Conf. on Intelligent Robot Systems (IROS), 2013.  [bibtex] [pdf]
[]Dense Visual SLAM for RGB-D Cameras (C. Kerl, J. Sturm and D. Cremers), In Proc. of the Int. Conf. on Intelligent Robot Systems (IROS), 2013.  [bibtex] [pdf]
[]Efficient Convex Optimization for Minimal Partition Problems with Volume Constraints (T. Möllenhoff, C. Nieuwenhuis, E. Toeppe and D. Cremers), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2013.  [bibtex] [pdf]
[]Performance Evaluation of Narrow Band Methods for Variational Stereo (F. Stangl, M. Souiai and D. Cremers), In 35th German Conference on Pattern Recognition (GCPR), 2013.  [bibtex] [pdf]
[]A Co-occurrence Prior for Continuous Multi-Label Optimization (M. Souiai, E. Strekalovskiy, C. Nieuwenhuis and D. Cremers), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2013.  [bibtex] [pdf]
[]Learning Probabilistic Models for Mobile Manipulation Robots (J. Sturm and W. Burgard), In Proc. of the International Joint Conference on Artificial Intelligence (IJCAI), Track on Best papers in Sister Conferences, 2013.  [bibtex] [pdf]
[]Direct Camera Pose Tracking and Mapping With Signed Distance Functions (E. Bylow, J. Sturm, C. Kerl, F. Kahl and D. Cremers), In Demo Track of the RGB-D Workshop on Advanced Reasoning with Depth Cameras at the Robotics: Science and Systems Conference (RSS), 2013.  [bibtex] [pdf]
[]Real-Time Camera Tracking and 3D Reconstruction Using Signed Distance Functions (E. Bylow, J. Sturm, C. Kerl, F. Kahl and D. Cremers), In Robotics: Science and Systems Conference (RSS), 2013.  [bibtex] [pdf]
[]Introspective Active Learning for Scalable Semantic Mapping (R. Triebel, H. Grimmett, R. Paul and I. Posner), In Workshop on Active Learning in Robotics: Exploration, Curiosity, and Interaction at Robotics: Science and Systems, 2013.  [bibtex] [pdf]
[]Confidence Boosting: Improving the Introspectiveness of a Boosted Classifier for Efficient Learning (R. Triebel, H. Grimmett and I. Posner), In Autonomous Learning Workshop at ICRA, 2013.  [bibtex] [pdf]
[]Depth-adative Supervoxels for RGB-D Video Segmentation (D. Weikersdorfer, A. Schick, D. Cremers), In Proceedings of the IEEE International Conference on Image Processing, 2013.  [bibtex] [pdf]
[]Knowing When We Don’t Know: Introspective Classification for Mission-Critical Decision Making (H. Grimmett, R. Paul, R. Triebel and I. Posner), In IEEE International Conference on Robotics and Automation (ICRA), 2013.  [bibtex] [pdf]
[]Toward Automated Driving in Cities using Close-to-Market Sensors (P. Furgale, U. Schwesinger, M. Rufli, W. Derendarz, H. Grimmett, P. Mühlfellner, S. Wonneberger, J. Timpner, S. Rottmann, B. Li, B. Schmidt, T. Nghia Nguyen, E. Cardarelli, S. Cattani, S. Brüning, S. Horstmann, M. Stellmacher, H. Mielenz, K. Köser, M. Beermann, C. Häne, L. Heng, G. H. Lee, F. Fraundorfer, R. Iser, R. Triebel, I. Posner, P. Newman, L. Wolf, M. Pollefeys, S. Brosig, J. Effertz, C. Pradalier and R. Siegwart), In Proc. of IEEE Intelligent Vehicles Symposium, 2013.  [bibtex] [pdf]
[]Volume Constraints for Single View Reconstruction (E. Toeppe, C. Nieuwenhuis and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.  [bibtex]
[]Robust Odometry Estimation for RGB-D Cameras (C. Kerl, J. Sturm and D. Cremers), In International Conference on Robotics and Automation (ICRA), 2013.  [bibtex] [pdf]Best Vision Paper Award - Finalist
[]Noise Reduction in Accelerated Diffusion Spectrum Imaging through Integration of SENSE Reconstruction into Joint Reconstruction in Combination with q-Space Compressed Sensing (V. Golkov, T. Sprenger, M.I. Menzel, E.T. Tan, K.F. King, C.J. Hardy, L. Marinelli, D. Cremers and J.I. Sperl), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2013.  [bibtex]
[]Phase Sensitive Reconstruction in Diffusion Spectrum Imaging Enabling Velocity Encoding and Unbiased Noise Distribution (J.I. Sperl, E.T. Tan, T. Sprenger, V. Golkov, K.F. King, C.J. Hardy, L. Marinelli and M.I. Menzel), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2013.  [bibtex]
[]SNR-dependent Quality Assessment of Compressed-Sensing-Accelerated Diffusion Spectrum Imaging Using a Fiber Crossing Phantom (T. Sprenger, B. Fernandez, J.I. Sperl, V. Golkov, M. Bach, E.T. Tan, K.F. King, C.J. Hardy, L. Marinelli, M. Czisch, P. Sämann, A. Haase and M.I. Menzel), In International Society for Magnetic Resonance in Medicine (ISMRM) Annual Meeting, 2013.  [bibtex]
[]Corrected Joint SENSE Reconstruction, Low-Rank Constraints, and Compressed-Sensing-Accelerated Diffusion Spectrum Imaging in Denoising and Kurtosis Tensor Estimation (V. Golkov, M.I. Menzel, T. Sprenger, A. Menini, D. Cremers and J.I. Sperl), In ISMRM Workshop on Diffusion as a Probe of Neural Tissue Microstructure, 2013.  [bibtex]
[]Reconstruction, Regularization, and Quality in Diffusion MRI Using the Example of Accelerated Diffusion Spectrum Imaging (V. Golkov, M.I. Menzel, T. Sprenger, A. Menini, D. Cremers and J.I. Sperl), In 16th Annual Meeting of the German Chapter of the ISMRM, 2013.  [bibtex]Oral Presentation
[]Line-Process-Based Joint SENSE Reconstruction of Diffusion Images with Intensity Inhomogeneity Correction and Noise Non-Stationarity Correction (V. Golkov, T. Sprenger, M.I. Menzel, D. Cremers and J.I. Sperl), In European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) Annual Meeting, 2013.  [bibtex]Certificate of Merit Award
[]Effects of Low-Rank Constraints, Line-Process Denoising, and q-Space Compressed Sensing on Diffusion MR Image Reconstruction and Kurtosis Tensor Estimation (V. Golkov, T. Sprenger, A. Menini, M.I. Menzel, D. Cremers and J.I. Sperl), In European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) Annual Meeting, 2013.  [bibtex]Oral Presentation
[]Proximity Priors for Variational Semantic Segmentation and Recognition (J. Bergbauer, C. Nieuwenhuis, M. Souiai and D. Cremers), In ICCV Workshop on Graphical Models for Scene Understanding, 2013.  [bibtex] [doi] [pdf]
[]Convex Optimization for Scene Understanding (M. Souiai, C. Nieuwenhuis, E. Strekalovskiy and D. Cremers), In ICCV Workshop on Graphical Models for Scene Understanding, 2013.  [bibtex] [pdf]
[]Can a fully unconstrained imaging model be applied effectively to central cameras? (F. Bergamasco, A. Albarelli, E. Rodola and A. Torsello), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013.  [bibtex] [pdf]
[]Top-down visual search in Wimmelbild (Bergbauer, Julia and Tari, Sibel), In Proceedings of SPIE, Human Vision and Electronic Imaging XVIII, 2013.  [bibtex] [doi] [pdf]
[]Wimmelbild Analysis with Approximate Curvature Coding Distance Images (Bergbauer, Julia and Tari, Sibel), In Scale Space and Variational Methods in Computer Vision (A. Kuijper, K. Bredies, T. Pock, H. Bischof, eds.), Springer, volume 7893, 2013.  [bibtex] [doi] [pdf]Oral Presentation
2012
[]Segmentation with non-linear regional constraints via line-search cuts (L. Gorelick, F. R. Schmidt, Y. Boykov, A. Delong and A. Ward), In European Conference on Computer Vision (ECCV), Springer, volume 7572, 2012.  [bibtex] [pdf]
[]Hausdorff Distance Constraint for Multi-Surface Segmentation (F. R. Schmidt and Y. Boykov), In European Conference on Computer Vision (ECCV), Springer, volume 7572, 2012.  [bibtex] [pdf]
[]Furniture Classification using WWW CAD Models (V. Usenko, F. Seidel, Z. Marton, D. Pangercic and M. Beetz), In IROS'12 Workshop on Active Semantic Perception, 2012.  [bibtex] [pdf]
[] Robust Real-Time Registration of RGB-D Images using Multi-Resolution Surfel Representations (J. Stueckler and S. Behnke), In Proc. of ROBOTIK, VDE-Verlag, 2012.  [bibtex] [pdf]
[] Efficient Mobile Robot Navigation using 3D Surfel Grid Maps (J. Kläß, J. Stueckler and S. Behnke), In Proc. of ROBOTIK, VDE-Verlag, 2012.  [bibtex] [pdf]
[] Shape-Primitive Based Object Recognition and Grasping (M. Nieuwenhuisen, J. Stueckler, A. Berner, R. Klein and S. Behnke), In Proc. of ROBOTIK, VDE-Verlag, 2012.  [bibtex] [pdf]
[] Model Learning and Real-Time Tracking Using Multi-Resolution Surfel Maps (J. Stueckler and S. Behnke), In , 2012.  [bibtex] [pdf]
[]Adaptive Multi-cue 3D Tracking of Arbitrary Objects (G. M. García, D. A. Klein, J. Stueckler, S. Frintrop and A. B. Cremers), In DAGM/OAGM Symposium (Pinz, Axel, Pock, Thomas, Bischof, Horst, Leberl, Franz, eds.), Springer, volume 7476, 2012.  [bibtex]
[] SURE: Surface Entropy for Distinctive 3D Features (T. Fiolka, J. Stueckler, D. A. Klein, D. Schulz and S. Behnke), In Proc. of Spatial Cognition, 2012.  [bibtex] [pdf]
[] Adjustable autonomy for mobile teleoperation of personal service robots (S. Muszynski, J. Stueckler and S. Behnke), In Proc. of the IEEE Int. Symp. on Robot and Human Interactive Communication, 2012.  [bibtex] [pdf] [doi]
[] Integrating depth and color cues for dense multi-resolution scene mapping using RGB-D cameras (J. Stueckler and S. Behnke), In Proc. of the IEEE Int. Conf. on Multisensor Fusion and Integration for Intelligent Systems (MFI), 2012.  [bibtex] [pdf] [doi]
[] Semantic mapping using object-class segmentation of RGB-D images (J. Stueckler, N. Biresev and S. Behnke), In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2012.  [bibtex] [pdf] [doi]
[] Bayesian calibration of the hand-eye kinematics of an anthropomorphic robot (U. Hubert, J. Stueckler and S. Behnke), In Proc. of the 12th IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids), 2012.  [bibtex] [pdf] [doi]
[]Parsing Outdoor Scenes from Streamed 3D Laser Data Using Online Clustering and Incremental Belief Updates (R. Triebel, R. Paul, D. Rus and P. Newman), In Robotics Track of AAAI Conference on Artificial Intelligence, 2012.  [bibtex] [pdf]
[]Semantic Categorization of Outdoor Scenes with Uncertainty Estimates using Multi-Class Gaussian Process Classification (R. Paul, R. Triebel, D. Rus and P. Newman), In Proc. of the International Conference on Intelligent Robots and Systems (IROS), 2012.  [bibtex] [pdf]
[]Wehrli 2.0: An Algorithm for ”Tidying up Art” (N. Ufer, M. Souiai and D. Cremers), In VISART “Where Computer Vision Meets Art” workshop, ECCV 2012, Springer, 2012.  [bibtex] [pdf]
[]Comparison of Diffusion Kurtosis Tensor Estimation Methods in an Advanced Quality Assessment Framework (V. Golkov, J.I. Sperl, T. Sprenger, H.-J. Bungartz, M. Sedlacek, E.T. Tan, L. Marinelli, C.J. Hardy, K.F. King and M.I. Menzel), In European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) Annual Meeting, 2012.  [bibtex]
[]Evaluation of DSI Imaging with Compressed Sensing under the Presence of Different Noise Levels on a Diffusion Phantom (T. Sprenger, B. Fernandez, M. Bach, J.I. Sperl, V. Golkov, E.T. Tan, L. Marinelli, K.F. King, C.J. Hardy, Q. Zhu, M. Czisch, P. Sämann, A. Haase and M.I. Menzel), In European Society for Magnetic Resonance in Medicine and Biology (ESMRMB) Annual Meeting, 2012.  [bibtex]
[]Evaluating Egomotion and Structure-from-Motion Approaches Using the TUM RGB-D Benchmark (J. Sturm, W. Burgard and D. Cremers), In Proc. of the Workshop on Color-Depth Camera Fusion in Robotics at the IEEE/RJS International Conference on Intelligent Robot Systems (IROS), 2012.  [bibtex] [pdf]
[]Accurate Figure Flying with a Quadrocopter Using Onboard Visual and Inertial Sensing (J. Engel, J. Sturm and D. Cremers), In Proc. of the Workshop on Visual Control of Mobile Robots (ViCoMoR) at the IEEE/RJS International Conference on Intelligent Robot Systems (IROS), 2012.  [bibtex] [pdf]
[]A Benchmark for the Evaluation of RGB-D SLAM Systems (J. Sturm, N. Engelhard, F. Endres, W. Burgard and D. Cremers), In Proc. of the International Conference on Intelligent Robot Systems (IROS), 2012.  [bibtex] [pdf]
[]Camera-Based Navigation of a Low-Cost Quadrocopter (J. Engel, J. Sturm and D. Cremers), In Proc. of the International Conference on Intelligent Robot Systems (IROS), 2012.  [bibtex] [pdf] [video]
[]A Convex Representation for the Vectorial Mumford-Shah Functional (E. Strekalovskiy, A. Chambolle and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.  [bibtex] [pdf]
[]Fast and Globally Optimal Single View Reconstruction of Curved Objects (M. R. Oswald, E. Toeppe and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.  [bibtex] [pdf]
[]QPBOアルゴリズムの多値化による非劣モジュラエネルギー最小化 [QPBO arugorizumu no tachika ni yoru hiretsu mojura enerugī saishōka] (T. Windheuser, H. Ishikawa and D. Cremers), In Meeting on Image Recognition and Understanding, 2012.  [bibtex] [pdf]
[]Generalized Roof Duality for Multi-Label Optimization: Optimal Lower Bounds and Persistency (T. Windheuser, H. Ishikawa and D. Cremers), In European Conference on Computer Vision (ECCV), 2012.  [bibtex] [pdf]
[]Nonmetric Priors for Continuous Multilabel Optimization (E. Strekalovskiy, C. Nieuwenhuis and D. Cremers), In European Conference on Computer Vision (ECCV), Springer, 2012.  [bibtex] [pdf]
[]Real-Time Human Motion Tracking using Multiple Depth Cameras (L. Zhang, J. Sturm, D. Cremers and D. Lee), In Proc. of the International Conference on Intelligent Robot Systems (IROS), 2012.  [bibtex] [pdf]
[]Box-Particle PHD Filter for Multi-Target Tracking (M. Schikora, A. Gning, L. Mihaylova, D. Cremers and W. Koch), In 15th International Conference on Information Fusion (FUSION), 2012.  [bibtex] [pdf]
[]Box-Particle Intensity Filter (M. Schikora, A. Gning, L. Mihaylova, D. Cremers, W. Koch and R. Streit), In 9th IET Data Fusion and Target Tracking Conference, 2012.  [bibtex] [pdf]
[]Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction (Dominik Joho, Gian Diego Tipaldi, Nikolas Engelhard, Cyrill Stachniss and Wolfram Burgard), In Proceedings of Robotics: Science and Systems, 2012.  [bibtex] [pdf]
[]A Generalized Framework for Opening Doors and Drawers in Kitchen Environments (T. Ruehr, J. Sturm, D. Pangercic, M. Beetz and D. Cremers), In International Conference on Robotics and Automation (ICRA), 2012.  [bibtex] [pdf]
[]An Evaluation of the RGB-D SLAM System (F. Endres, J. Hess, N. Engelhard, J. Sturm, D. Cremers and W. Burgard), In International Conference on Robotics and Automation (ICRA), 2012.  [bibtex] [pdf]
[]A game-theoretic approach to deformable shape matching (E. Rodola, A.M. Bronstein, A. Albarelli, F. Bergamasco and A. Torsello), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012.  [bibtex] [doi] [pdf]
2011
[]Interactive Segmentation with Super-Labels (A. Delong, L. Gorelick, F. R. Schmidt, O. Veksler and Y. Boykov), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Springer, volume 6819, 2011.  [bibtex] [pdf]
[]Multilinear Model Estimation with L2-Regularization (F. R. Schmidt, H. Ackermann and B. Rosenhahn), In Pattern Recognition (Proc. DAGM), Springer, volume 6835, 2011.  [bibtex] [pdf]
[] Learning to Interpret Pointing Gestures with a Time-of-flight Camera (D. Droeschel, J. Stueckler and S. Behnke), In Proceedings of the 6th International Conference on Human-robot Interaction, Advances in Computational Mathematics, 2011.  [bibtex] [pdf] [doi]
[] Interest point detection in depth images through scale-space surface analysis (J. Stueckler and S. Behnke), In Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), 2011.  [bibtex] [pdf] [doi]
[] Towards joint attention for a domestic service robot - person awareness and gesture recognition using Time-of-Flight cameras (D. Droeschel, J. Stueckler, D. Holz and S. Behnke), In Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), 2011.  [bibtex] [pdf] [doi]
[] Compliant Task-Space Control with Back-Drivable Servo Actuators (J. Stueckler and S. Behnke), In RoboCup (Röfer, Thomas, Mayer, Norbert Michael, Savage, Jesus, Saranli, Uluc, eds.), Springer, volume 7416, 2011.  [bibtex] [pdf]
[] Real-Time 3D Perception and Efficient Grasp Planning for Everyday Manipulation Tasks. (J. Stueckler, R. Steffens, D. Holz and S. Behnke), In Proc. of the European Conf. on Mobile Robots (ECMR), 2011.  [bibtex] [pdf]
[] Following human guidance to cooperatively carry a large object (J. Stueckler and S. Behnke), In Proc. of the 11th IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids), 2011.  [bibtex] [pdf] [doi]
[] Efficient Multi-resolution Plane Segmentation of 3D Point Clouds (B. Oehler, J. Stueckler, J. Welle, D. Schulz and S. Behnke), In Proc. of the Int. Conf. on Intelligent Robotics and Applications (ICIRA) (Jeschke, Sabina, Liu, Honghai, Schilberg, Daniel, eds.), Springer Berlin Heidelberg, volume 7102, 2011.  [bibtex] [pdf] [doi]
[]Bayesian On-line Learning of Driving Behaviors (J. Maye, R. Triebel, L. Spinello and R. Siegwart), In International Conference on Robotics and Automation (ICRA), 2011.  [bibtex] [pdf]
[]Unsupervised 3D Object Discovery and Categorization for Mobile Robots (J. Shin, R. Triebel and R. Siegwart), In Proc. of the International Symposium on Robotics Research (ISRR), 2011.  [bibtex] [pdf]
[]A Survey on Geometry Recovery from a Single Image with Focus on Curved Object Reconstruction (M. R. Oswald, E. Toeppe, C. Nieuwenhuis and D. Cremers), In Proceedings of the 2011 Conference on Innovations for Shape Analysis: Models and Algorithms, Springer-Verlag, 2011.  [bibtex] [pdf]
[]Silhouette-Based Variational Methods for Single View Reconstruction (E. Toeppe, M. R. Oswald, D. Cremers and C. Rother), In Proceedings of the 2010 international conference on Video Processing and Computational Video (D. Cremers, M. A. Magnor, M. R. Oswald, L. Zelnik-Manor, eds.), Springer-Verlag, 2011.  [bibtex] [pdf]
[]Multi-object tracking via high accuracy optical flow and finite set statistics (M. Schikora, W. Koch and D. Cremers), In International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2011.  [bibtex] [pdf]
[]Multiple Emitter Localization Using a Realistic Airborne Array Sensor (M. Oispuu and M. Schikora), In 14th International Conference on Information Fusion (FUSION), 2011.  [bibtex] [pdf]
[]Sequential Monte Carlo Method for the iFilter (M. Schikora, W. Koch, R.L. Streit and D. Cremers), In 14th International Conference on Information Fusion (FUSION), 2011.  [bibtex] [pdf]
[]Pixel-based Classification Method for Detecting Unhealthy Regions in Leaf Images (S. Madhogaria, M. Schikora, W. Koch and D. Cremers), In 6th IEEE ISIF Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2011.  [bibtex] [pdf]
[]Multiple Source Localization Based on Biased Bearings Using the Intensity Filter - Approach and Experimental Results (M. Schikora, M.Oispuu, W. Koch and D. Cremers), In 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011.  [bibtex] [pdf]
[]Mobile Manipulation of Kitchen Containers (J. Becker, C. Bersch, D. Pangercic, B. Pitzer, T. Rühr, B. Sankaran, J. Sturm, C. Stachniss, M. Beetz and W. Burgard), In Proc. of the IROS'11 Workshop on Results, Challenges and Lessons Learned in Advancing Robots with a Common Platform, 2011.  [bibtex] [pdf]
[]Real-Time Visual Odometry from Dense RGB-D Images (F. Steinbruecker, J. Sturm and D. Cremers), In Workshop on Live Dense Reconstruction with Moving Cameras at the Intl. Conf. on Computer Vision (ICCV), 2011.  [bibtex] [pdf]
[]The Wave Kernel Signature: A Quantum Mechanical Approach To Shape Analysis (M. Aubry, U. Schlickewei and D. Cremers), In IEEE International Conference on Computer Vision (ICCV) - Workshop on Dynamic Shape Capture and Analysis (4DMOD), 2011.  [bibtex] [pdf] [code]
[]A Convex Framework for Image Segmentation with Moment Constraints (M. Klodt and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2011.  [bibtex] [pdf]
[]Space-Varying Color Distributions for Interactive Multiregion Segmentation: Discrete versus Continuous Approaches (C. Nieuwenhuis, E. Toeppe and D. Cremers), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2011.  [bibtex] [pdf]
[]Towards a benchmark for RGB-D SLAM evaluation (J. Sturm, S. Magnenat, N. Engelhard, F. Pomerleau, F. Colas, W. Burgard, D. Cremers and R. Siegwart), In Proc. of the RGB-D Workshop on Advanced Reasoning with Depth Cameras at Robotics: Science and Systems Conf. (RSS), 2011.  [bibtex] [pdf] [pdf]
[]Real-time 3D visual SLAM with a hand-held camera (N. Engelhard, F. Endres, J. Hess, J. Sturm and W. Burgard), In Proc. of the RGB-D Workshop on 3D Perception in Robotics at the European Robotics Forum, 2011.  [bibtex] [pdf]
[]Learning the State Transition Model to Efficiently Clean Surfaces with Mobile Manipulation Robots (J. Hess, J. Sturm and W. Burgard), In Proc. of the Workshop on Manipulation under Uncertainty at the IEEE Int. Conf. on Robotics and Automation (ICRA), 2011.  [bibtex] [pdf]
[]Generalized Ordering Constraints for Multilabel Optimization (E. Strekalovskiy and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2011. (oral presentation) [bibtex] [pdf]
[]Decoupling Photometry and Geometry in Dense Variational Camera Calibration (M. Aubry, K. Kolev, B. Goldluecke and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2011.  [bibtex] [pdf]
[]Tight Convex Relaxations for Vector-Valued Labeling Problems (E. Strekalovskiy, B. Goldluecke and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2011.  [bibtex] [pdf]
[]Introducing Total Curvature for Image Processing (B. Goldluecke and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2011.  [bibtex] [pdf]
[]Total Variation for Cyclic Structures: Convex Relaxation and Efficient Minimization (E. Strekalovskiy and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.  [bibtex] [pdf]
[]On a linear programming approach to the discrete Willmore boundary value problem and generalizations (T. Schoenemann, S. Masnou and D. Cremers), In Curves and Surfaces 2011 (J.-D. Boissonnat et al., ed.), 2011.  [bibtex] [pdf]
[]Pose-Consistent 3D Shape Segmentation Based on a Quantum Mechanical Feature Descriptor (M. Aubry, U. Schlickewei and D. Cremers), In Pattern Recognition (Proc. DAGM), Springer, 2011.  [bibtex] [pdf]
[]Geometrically Consistent Elastic Matching of 3D Shapes: A Linear Programming Solution (T. Windheuser, U. Schlickewei, F. R. Schmidt and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2011.  [bibtex] [pdf]
[]Sampling Relevant Points for Surface Registration (A. Torsello, E. Rodola and A. Albarelli), In International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), 2011.  [bibtex] [doi] [pdf]
[]A Non-Cooperative Game for 3D Object Recognition in Cluttered Scenes (A. Albarelli, E. Rodola and A. Torsello), In International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT), 2011.  [bibtex] [doi] [pdf]
[]RUNE-Tag: a High Accuracy Fiducial Marker with Strong Occlusion Resilience (F. Bergamasco, A. Albarelli, E. Rodola and A. Torsello), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.  [bibtex] [doi] [pdf]
[]Multiview Registration via Graph Diffusion of Dual Quaternions (A. Torsello, E. Rodola and A. Albarelli), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.  [bibtex] [doi] [pdf] [code]
2010
[]Becoming action-aware through reasoning about logged plan execution traces (Mösenlechner, Lorenz, Demmel, Nikolaus and Beetz, Michael), In International Conference on Intelligent Robots and Systems (IROS), 2010.  [bibtex] [pdf]
[] Using Time-of-Flight cameras with active gaze control for 3D collision avoidance (D. Droeschel, D. Holz, J. Stueckler and S. Behnke), In Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), 2010.  [bibtex] [pdf]
[] Improving indoor navigation of autonomous robots by an explicit representation of doors (M. Nieuwenhuisen, J. Stueckler and S. Behnke), In Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), 2010.  [bibtex] [pdf] [doi]
[] Intuitive Multimodal Interaction for Domestic Service Robots (M. Nieuwenhuisen, J. Stueckler and S. Behnke), In Proc. of the ISR/ROBOTIK, VDE Verlag, 2010.  [bibtex] [pdf]
[] Learning Motion Skills from Expert Demonstrations and Own Experience using Gaussian Process Regression (K. Gräve, J. Stueckler and S. Behnke), In Proc. of the ISR/ROBOTIK, VDE Verlag, 2010.  [bibtex] [pdf]
[] Utilizing the Structure of Field Lines for Efficient Soccer Robot Localization (H. Schulz, W. Liu, J. Stueckler and S. Behnke), In RobuCup (del Solar, Javier Ruiz, Chown, Eric, Plöger, Paul-Gerhard, eds.), Springer, volume 6556, 2010.  [bibtex] [pdf]
[] Towards Semantic Scene Analysis with Time-of-flight Cameras (D. Holz, R. Schnabel, D. Droeschel, J. Stueckler and S. Behnke), In RobuCup (del Solar, Javier Ruiz, Chown, Eric, Plöger, Paul-Gerhard, eds.), Springer, volume 6556, 2010.  [bibtex] [pdf]
[] Improving People Awareness of Service Robots by Semantic Scene Knowledge (J. Stueckler and S. Behnke), In RobuCup (del Solar, Javier Ruiz, Chown, Eric, Plöger, Paul-Gerhard, eds.), Springer, volume 6556, 2010.  [bibtex] [pdf]
[] Combining depth and color cues for scale- and viewpoint-invariant object segmentation and recognition using Random Forests (J. Stueckler and S. Behnke), In Proc. of the IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2010.  [bibtex] [pdf] [doi]
[] Improving imitated grasping motions through interactive expected deviation learning (K. Gräve, J. Stueckler and S. Behnke), In Proc. of the 10th IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids), 2010.  [bibtex] [pdf] [doi]
[]Inferring the Semantics of Direction Signs in Public Places (J. Maye, L. Spinello, R. Triebel and R. Siegwart), In International Conference on Robotics and Automation (ICRA), 2010.  [bibtex] [pdf]
[]Unsupervised Discovery of Repetitive Objects (J. Shin, R. Triebel and R. Siegwart), In International Conference on Robotics and Automation (ICRA), 2010.  [bibtex] [pdf]
[]A Layered Approach to People Detection in 3D Range Data (L. Spinello, K. O. Arras, R. Triebel and R. Siegwart), In special track on Physically Grounded AI of AAAI, 2010.  [bibtex] [pdf]
[]Segmentation and Unsupervised Part-based Discovery of Repetitive Objects (R. Triebel, J. Shin and R. Siegwart), In Robotics: Science and Systems, 2010.  [bibtex] [pdf]
[]Exploiting Repetitive Object Patterns for Model Compression and Completion (L. Spinello, R. Triebel, D. Vasquez, K. Arras and R Siegwart), In European Conference on Computer Vision, 2010.  [bibtex] [pdf]
[]A Bayesian Approach to Learning 3D Representations of Dynamic Environments (R. Kaestner, N. Engelhard, R. Triebel and R. Siegwart), In Proc. of The 12th International Symposium on Experimental Robotics (ISER), Springer Press, 2010.  [bibtex] [pdf]
[]Operating Articulated Objects Based on Experience (J. Sturm, A. Jain, C. Stachniss, C. C. Kemp and W. Burgard), In Proc. of the International Conference on Intelligent Robot Systems (IROS), 2010.  [bibtex] [pdf]
[]Tactile Object Class and Internal State Recognition for Mobile Manipulation (S. Chitta, M. Piccoli and J. Sturm), In International Conference on Robotics and Automation (ICRA), 2010.  [bibtex] [pdf]
[]Vision-based Detection for Learning Articulation Models of Cabinet Doors and Drawers in Household Environments (J. Sturm, K. Konolige, C. Stachniss and W. Burgard), In International Conference on Robotics and Automation (ICRA), 2010.  [bibtex] [pdf]
[]3D Pose Estimation, Tracking and Model Learning of Articulated Objects from Dense Depth Video using Projected Texture Stereo (J. Sturm, K. Konolige, C. Stachniss and W. Burgard), In Proc. of the Workshop on Advanced Reasoning with Depth Cameras at the Robotics: Science and Systems Conference (RSS), 2010.  [bibtex] [pdf]
[]Interactive Motion Segmentation (C. Nieuwenhuis, B. Berkels and M. Rumpf), In Pattern Recognition (Proc. DAGM), Springer, volume 6376, 2010.  [bibtex] [pdf]
[]Complex Motion Models for Simple Optical Flow Estimation (C. Nieuwenhuis and D. Kondermann), In Pattern Recognition (Proc. DAGM), Springer, volume 6376, 2010.  [bibtex] [pdf]
[]Convex Relaxation for Multilabel Problems with Product Label Spaces (B. Goldluecke and D. Cremers), In European Conference on Computer Vision (ECCV), 2010.  [bibtex] [pdf]
[]An Approach to Vectorial Total Variation based on Geometric Measure Theory (B. Goldluecke and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.  [bibtex] [pdf]
[]Parallel Generalized Thresholding Scheme for Live Dense Geometry from a Handheld Camera (J. Stühmer, S. Gumhold and D. Cremers), In ECCV Workshop on Computer Vision on GPUs (CVGPU), 2010.  [bibtex] [pdf]
[]Real-Time Dense Geometry from a Handheld Camera (J. Stühmer, S. Gumhold and D. Cremers), In Pattern Recognition (Proc. DAGM), 2010.  [bibtex] [pdf]
[]Anisotropic Minimal Surfaces Integrating Photoconsistency and Normal Information for Multiview Stereo (K. Kolev, T. Pock and D. Cremers), In European Conference on Computer Vision (ECCV), 2010.  [bibtex] [pdf]
[]Image-based 3D Modeling via Cheeger Sets (E. Toeppe, M. R. Oswald, D. Cremers and C. Rother), In Asian Conference on Computer Vision, 2010.  [bibtex] [pdf]Received Honorable Mention Award
[]Multi-target multi-sensor localization and tracking using passive antenna and optical sensors on UAVs (M. Schikora, D. Bender, W. Koch and D. Cremers), In SPIE Security + Defence, 2010.  [bibtex] [pdf]
[]Passive Multi-Object Localization and Tracking Using Bearing Data (M. Schikora, D. Bender, D. Cremers and W. Koch), In 13th International Conference on Information Fusion (FUSION), 2010.  [bibtex] [pdf]
[]Probabilistic Classification of Disease Symptoms caused by Salmonella on Arabidopsis Plants (M. Schikora, A. Schikora, K.-H. Kogel, W. Koch and D. Cremers), In 5th IEEE ISIF Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2010.  [bibtex] [pdf]
[]Loosely Distinctive Features for Robust Surface Alignment (A. Albarelli, E. Rodola and A. Torsello), In European Conference on Computer Vision (ECCV), 2010.  [bibtex] [doi] [pdf]
[]Robust Game-Theoretic Inlier Selection for Bundle Adjustment (A. Albarelli, E. Rodola and A. Torsello), In 5th International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT), 2010.  [bibtex] [pdf]Best Student Paper Award
[]A Game-Theoretic Approach to Fine Surface Registration without Initial Motion Estimation (A. Albarelli, E. Rodola and A. Torsello), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010.  [bibtex] [doi] [pdf]
[]A Game-Theoretic Approach to the Enforcement of Global Consistency in Multi-View Feature Matching (E. Rodola, A. Albarelli and A. Torsello), In 13th International Workshop on Structural and Syntactic Pattern Recognition (SSPR), 2010.  [bibtex] [doi] [pdf]
[]Robust Figure Extraction on Textured Background: a Game-Theoretic Approach (A. Albarelli, E. Rodola, A. Cavallarin and A. Torsello), In 20th International Conference on Pattern Recognition (ICPR), 2010.  [bibtex] [doi] [pdf]
[]A Game-Theoretic Approach to Robust Selection of Multi-View Point Correspondence (E. Rodola, A. Albarelli and A. Torsello), In 20th International Conference on Pattern Recognition (ICPR), 2010.  [bibtex] [doi] [pdf]
[]Robust Camera Calibration using Inaccurate Targets (A. Albarelli, E. Rodola and A. Torsello), In British Machine Vision Conference (BMVC), 2010.  [bibtex] [doi] [pdf]
2009
[] Dynamaid, an Anthropomorphic Robot for Research on Domestic Service Applications (J. Stueckler, M. Schreiber and S. Behnke), In Proc. of the European Conference on Mobile Robots (ECMR), 2009.  [bibtex] [pdf]
[] Integrating indoor mobility, object manipulation, and intuitive interaction for domestic service tasks (J. Stueckler and S. Behnke), In Proc. of the IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids), 2009.  [bibtex] [pdf] [doi]
[]Medial Features for Superpixel Segmentation (D. Engel, L. Spinello, R. Triebel, C. Curio, R. Siegwart and H. Bülthoff), In Proc. of the IAPR Conference on Machine Vision Applications (MVA), 2009.  [bibtex] [pdf]
[]Multiclass Multimodal Detection and Tracking in Urban Environments (L. Spinello, R. Triebel and R. Siegwart), In Proc. of Field and Service Robotics (FSR), 2009.  [bibtex] [pdf]
[]Detecting Pedestrians at Very Small Scales (L. Spinello, A. Macho, R. Triebel and R. Siegwart), In Proc. of the International Conference on Intelligent Robots and Systems (IROS), 2009.  [bibtex] [pdf]
[]A Convex Formulation for Color Image Segmentation in the Context of Passive Emitter Localization (M. Schikora, M. Häge, E. Ruthotto and K. Wild), In 12th International Conference on Information Fusion (FUSION), 2009.  [bibtex] [pdf]
[]Global Optimal Multiple Object Detection using the Fusion of Shape and Color Information (M. Schikora), In 7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2009.  [bibtex] [pdf]
[]A Framework for Multiple Radar and Multiple 2D/3D Camera Fusion (M. Schikora and B. Romba), In 4th IEEE ISIF Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2009.  [bibtex] [pdf]
[]Advanced Data Terms for Variational Optic Flow Estimation (F. Steinbruecker, T. Pock and D. Cremers), In Proceedings Vision, Modeling and Visualization (VMV), 2009.  [bibtex] [pdf]
[]Object Identification with Tactile Sensors Using Bag-of-Features (A. Schneider, J. Sturm, C. Stachniss, M. Reisert, H. Burkhardt and W. Burgard), In Proc. of the International Conference on Intelligent Robot Systems (IROS), 2009.  [bibtex] [pdf]
[]Regression-Based Online Situation Recognition for Vehicular Traffic Scenarios (D. Meyer-Delius, J. Sturm and W. Burgard), In Proc. of the International Conference on Intelligent Robot Systems (IROS), 2009.  [bibtex] [pdf]
[]Learning Kinematic Models for Articulated Objects (J. Sturm, V. Pradeep, C. Stachniss, C. Plagemann, K. Konolige and W. Burgard), In Proc. of the International Joint Conference on Artificial Intelligence (IJCAI), 2009.  [bibtex] [pdf]
[]Towards Understanding Articulated Objects (J. Sturm, C. Stachniss, V. Pradeep, C. Plagemann, K. Konolige and W. Burgard), In Proc. of the Workshop on Robot Manipulation at Robotics: Science and Systems Conference (RSS), 2009.  [bibtex] [pdf]
[]Learning Kinematics from Direct Self-Observation Using Nearest-Neighbor Methods (H. Schulz, L. Ott, J. Sturm and W. Burgard), In Proc. of the German Workshop on Robotics, 2009.  [bibtex] [pdf]
[]Imitation Learning with Generalized Task Descriptions (C. Eppner, J. Sturm, M. Bennewitz, C. Stachniss and W. Burgard), In International Conference on Robotics and Automation (ICRA), 2009.  [bibtex] [pdf]
[]Reconstructing Optical Flow Fields by Motion Inpainting (B. Berkels, C. Nieuwenhuis, C. Garbe and M. Rumpf), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Springer, volume 5681, 2009.  [bibtex] [pdf]
[]Video Super Resolution using Duality Based TV-L1 Optical Flow (D. Mitzel, T. Pock, T. Schoenemann and D. Cremers), In Pattern Recognition (Proc. DAGM), 2009.  [bibtex] [pdf]
[]Large Displacement Optical Flow Computation without Warping (F. Steinbruecker, T. Pock and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2009.  [bibtex] [pdf]
[]Beyond Connecting the Dots: A Polynomial-time Algorithm for Segmentation and Boundary Estimation with Imprecise User Input (T. Windheuser, T. Schoenemann and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2009.  [bibtex] [pdf]
[]Curvature Regularity for Region-based Image Segmentation and Inpainting: A Linear Programming Relaxation (T. Schoenemann, F. Kahl and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2009.  [bibtex] [pdf]
[]Structure- and Motion-adaptive Regularization for High Accuracy Optic Flow (A. Wedel, D. Cremers, T. Pock and H. Bischof), In IEEE International Conference on Computer Vision (ICCV), 2009.  [bibtex] [pdf]
[]An Algorithm for Minimizing the Piecewise Smooth Mumford-Shah Functional (T. Pock, D. Cremers, H. Bischof and A. Chambolle), In IEEE International Conference on Computer Vision (ICCV), 2009.  [bibtex] [pdf]
[]Variational Optical Flow from Alternate Exposure Images (A. Sellent, M. Eisemann, B. Goldluecke, T. Pock, D. Cremers and M. Magnor), In Proceedings Vision, Modeling and Visualization (VMV), 2009.  [bibtex] [pdf]
[]Superresolution Texture Maps for Multiview Reconstruction (B. Goldluecke and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2009.  [bibtex] [pdf]
[]A Superresolution Framework for High-Accuracy Multiview Reconstruction (B. Goldluecke and D. Cremers), In Pattern Recognition (Proc. DAGM), 2009.  [bibtex] [pdf]Received DAGM Best Paper Award
[]Detection and Segmentation of Independently Moving Objects from Dense Scene Flow (A. Wedel, C. Rabe, A. Meissner, U. Franke and D. Cremers), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR) (D. Cremers, Y. Boykov, A. Blake, F. R. Schmidt, eds.), volume 5681, 2009.  [bibtex] [pdf]
[]Continuous Ratio Optimization via Convex Relaxation with Applications to Multiview 3D Reconstruction (K. Kolev and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.  [bibtex] [pdf]
[]A Convex Relaxation Approach for Computing Minimal Partitions (T. Pock, A. Chambolle, H. Bischof and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009.  [bibtex] [pdf]
[]Efficient Planar Graph Cuts with Applications in Computer Vision (F. R. Schmidt, E. Toeppe and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009. (Note: This version of the paper is modified with respect to the published one: In the published version we had only cited the PhD thesis [2], as the conference paper [3] does not mention Step 13 of Algorithm 2 that restores the important property of T being a rooted tree.) [bibtex] [pdf]Received a CVPR Doctoral Spotlight Award
[]A Closed-Form Solution for Image Sequence Segmentation with Dynamical Shape Priors (F. R. Schmidt and D. Cremers), In Pattern Recognition (Proc. DAGM), 2009.  [bibtex] [pdf]
[]Non-Parametric Single View Reconstruction of Curved Objects using Convex Optimization (M. R. Oswald, E. Toeppe, K. Kolev and D. Cremers), In Pattern Recognition (Proc. DAGM), 2009.  [bibtex] [pdf]Received a DAGM Paper Award
[]Fast 3D surface reconstruction by unambiguous compound phase coding (A. Albarelli, E. Rodola, S. Rota Bulo and A. Torsello), In the 2009 IEEE International Workshop on 3D Digital Imaging and Modeling (3DIM), 2009.  [bibtex] [doi] [pdf]
2008
[] Orthogonal wall correction for visual motion estimation (J. Stueckler and S. Behnke), In Proc. of the IEEE Int. Conf. on Robotics and Automation (ICRA), 2008.  [bibtex] [pdf] [doi]
[] In-lane Localization in Road Networks using Curbs Detected in Omnidirectional Height Images (J. Stueckler, H. Schulz and S. Behnke), In Proceedings of Robotik 2008, 2008.  [bibtex] [pdf]
[]Multimodal People Detection and Tracking in Crowded Scenes (L. Spinello, R. Triebel and R. Siegwart), In Proc. of the Twenty-Third Conference on Artificial Intelligence (AAAI), 2008.  [bibtex] [pdf]
[]Multimodal Detection and Tracking of Pedestrians in Urban Environments with Explicit Ground Plane Extraction (L. Spinello, R. Triebel and R. Siegwart), In Proc. of the International Conference on Intelligent Robots and Systems (IROS), 2008.  [bibtex] [pdf]
[]Motion Estimation Based on a Temporal Model of Fluid Flows (Kondermann, D., Nieuwenhuis, C., Berthe, A., Kertzscher, U. and Garbe, C.), In 13th International Symposium on Flow Visualization, 2008.  [bibtex]
[]Body Scheme Learning and Life-Long Adaptation for Robotic Manipulation (J. Sturm, C. Plagemann and W. Burgard), In Proc. of the Workshop on Robot Manipulation at the Robotics: Science and Systems Conference (RSS), 2008.  [bibtex] [pdf]
[]Adaptive Body Scheme Models for Robust Robotic Manipulation (J. Sturm, C. Plagemann and W. Burgard), In Robotics: Science and Systems Conference (RSS), 2008.  [bibtex] [pdf]
[]Unsupervised Body Scheme Learning through Self-Perception (J. Sturm, C. Plagemann and W. Burgard), In International Conference on Robotics and Automation (ICRA), 2008.  [bibtex] [pdf]
[]Postprocessing of Optical Flows via Surface Measures and Motion Inpainting (C. Nieuwenhuis, D. Kondermann and C. Garbe), In Pattern Recognition (Proc. DAGM), Springer, volume 5096, 2008.  [bibtex] [pdf]
[]On Errors-In-Variables Regression with Arbitrary Covariance and its Application to Optical Flow Estimation (B. Andres, C. Nieuwenhuis, D. Kondermann, U. Köthe and R. Hamprecht), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.  [bibtex] [pdf]
[]A Statistical Confidence Measure for Optical Flows (C. Nieuwenhuis, R. Mester and C. Garbe), In European Conference on Computer Vision (ECCV), 2008.  [bibtex] [pdf]
[]Nonlocal texture filtering with efficient tree structures and invariant patch similarity measures (O. Kleinschmidt, T. Brox and D. Cremers), In Int. Workshop on Local and Nonlocal Approximation, 2008.  [bibtex] [pdf]
[]Modeling and Tracking Line-Constrained Mechanical Systems (B. Rosenhahn, T. Brox, D. Cremers and H.-P. Seidel), In 2nd Workshop on Robot Vision (G. Sommer, R. Klette, eds.), volume 4931, 2008.  [bibtex] [pdf]
[]High Resolution Motion Layer Decomposition using Dual-space Graph Cuts (T. Schoenemann and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.  [bibtex] [pdf]
[]Globally Optimal Shape-based Tracking in Real-time (T. Schoenemann and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.  [bibtex] [pdf]
[]Matching Non-rigidly Deformable Shapes Across Images: A Globally Optimal Solution (T. Schoenemann and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.  [bibtex] [pdf]
[]Markerless Motion Capture of Man-Machine Interaction (B. Rosenhahn, C. Schmaltz, T. Brox, J. Weickert, D. Cremers and H.-P. Seidel), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.  [bibtex] [pdf]
[]Shape Priors in Variational Image Segmentation: Convexity, Lipschitz Continuity and Globally Optimal Solutions (D. Cremers, F. R. Schmidt and F. Barthel), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2008.  [bibtex] [pdf]
[]An Unbiased Second-Order Prior for High-Accuracy Motion Estimation (W. Trobin, T. Pock, D. Cremers and H. Bischof), In Pattern Recognition (Proc. DAGM), Springer, 2008.  [bibtex] [pdf]
[]An Improved Algorithm for TV-L1 Optical Flow (A. Wedel, T. Pock, C. Zach, D. Cremers and H. Bischof), In Proc. of the Dagstuhl Motion Workshop, Springer, 2008.  [bibtex] [pdf]
[]Fast and Exact Solution of Total Variation Models on the GPU (T. Pock, M. Unger, D. Cremers and H. Bischof), In CVPR Workshop on Visual Computer Vision on GPU's, 2008.  [bibtex] [pdf]
[]Continuous Globally Optimal Image Segmentation with Local Constraints (M. Unger, T. Pock and H. Bischof), In Computer Vision Winter Workshop 2008, 2008.  [bibtex] [pdf]
[]Automatic Differentiation for GPU-Accelerated 2D/3D Registration (M. Grabner, T. Pock and Tobias Gross), In 5th International Conference on Automatic Differentiation, 2008.  [bibtex] [pdf]
[]An Experimental Comparison of Discrete and Continuous Shape Optimization Methods (M. Klodt, T. Schoenemann, K. Kolev, M. Schikora and D. Cremers), In European Conference on Computer Vision (ECCV), 2008.  [bibtex] [pdf]
[]Duality TV-L1 Flow with Fundamental Matrix Prior (A. Wedel, T. Pock, J. Braun, U. Franke and D. Cremers), In Image Vision and Computing, 2008.  [bibtex] [pdf]
[]Efficient Dense Scene Flow from Sparse or Dense Stereo Data (A. Wedel, C. Rabe, T. Vaudrey, T. Brox, U. Franke and D. Cremers), In European Conference on Computer Vision (ECCV), 2008.  [bibtex] [pdf]
[]Integration of Multiview Stereo and Silhouettes via Convex Functionals on Convex Domains (K. Kolev and D. Cremers), In European Conference on Computer Vision (ECCV), 2008.  [bibtex] [pdf]
[]Continuous Energy Minimization via Repeated Binary Fusion (W. Trobin, T. Pock, D. Cremers and H. Bischof), In European Conference on Computer Vision (ECCV), 2008.  [bibtex] [pdf]
[]A Convex Formulation of Continuous Multi-Label Problems (T. Pock, T. Schoenemann, G. Graber, H. Bischof and D. Cremers), In European Conference on Computer Vision (ECCV), 2008.  [bibtex] [pdf]
[]TVSeg - Interactive Total Variation Based Image Segmentation (M. Unger, T. Pock, D. Cremers and H. Bischof), In British Machine Vision Conference (BMVC), 2008.  [bibtex] [pdf]
[]Image Segmentation with Elastic Shape Priors via Global Geodesics in Product Spaces (T. Schoenemann, F. R. Schmidt and D. Cremers), In British Machine Vision Conference (BMVC), 2008.  [bibtex] [pdf]
2007
[] Hierarchical reactive control for a team of humanoid soccer robots (S. Behnke, J. Stueckler, M. Schreiber, H. Schulz, M. Böhnert and K. Meier), In Proc. of the IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids), 2007.  [bibtex] [pdf] [doi]
[]Instance-based AMN Classification for Improved Object Recognition in 2D and 3D Laser Range Data (R. Triebel, R. Schmidt, Ó. Martínez Mozos and W. Burgard), In Proc. of the International Joint Conference on Artificial Intelligence (IJCAI), 2007.  [bibtex] [pdf]
[]Towards Mapping of Cities (P. Pfaff, R. Triebel, C. Stachniss, P. Lamon, W. Burgard and R. Siegwart), In International Conference on Robotics and Automation (ICRA), 2007.  [bibtex] [pdf]
[]Monte Carlo Localization in Outdoor Terrains using Multi-Level Surface Maps (R. Kümmerle, R. Triebel, P. Pfaff, and W. Burgard), In Proc. of the 6th International Conference on Field and Service Robotics (FSR), 2007.  [bibtex] [pdf]
[]Recovering the Shape of Objects in 3D Point Clouds with Partial Occlusions (R. Triebel and W. Burgard), In Proc. of the 6th International Conference on Field and Service Robotics (FSR), 2007.  [bibtex] [pdf]
[]Active Monte Carlo Localization in Outdoor Terrains using Multi-Level Surface Maps (R. Kümmerle, P. Pfaff, R. Triebel and W. Burgard), In Fachgespräche Autonome Mobile Systeme (AMS), 2007.  [bibtex] [pdf]
[]Collective Classification for Labeling of Places and Objects in 2D and 3D Range Data (R. Triebel, Ó. Martínez Mozos and W. Burgard), In Proc. of the 31th Annual Conference of the German Classification Society on Data Analysis, Machine Learning, and Applications, 2007.  [bibtex] [pdf]
[]Blood vessel classification into arteries and veins in retinal images (C. Nieuwenhuis, D. Kondermann and M. Yan), In Proc. of the SPIE Medical Imaging, volume 6512, 2007.  [bibtex] [pdf]
[]An Adaptive Confidence Measure for Optical Flows Based on Linear Subspace Projections (C. Nieuwenhuis, D. Kondermann and B. Jähne), In Pattern Recognition (Proc. DAGM), Springer, volume 4713, 2007.  [bibtex] [pdf]
[]A probabilistic level set formulation for interactive organ segmentation (D. Cremers, O. Fluck, M. Rousson and S. Aharon), In Proc. of the SPIE Medical Imaging, 2007.  [bibtex] [pdf]
[]Iterated Nonlocal Means for Texture Restoration (T. Brox and D. Cremers), In Proc. International Conference on Scale Space and Variational Methods in Computer Vision (F. Sgallari, A. Murli, N. Paragios, eds.), Springer, volume 4485, 2007.  [bibtex] [pdf]
[]On the Statistical Interpretation of the Piecewise Smooth Mumford-Shah Functional (T. Brox and D. Cremers), In Proc. International Conference on Scale Space and Variational Methods in Computer Vision (F. Sgallari, A. Murli, N. Paragios, eds.), Springer, volume 4485, 2007.  [bibtex] [pdf]
[]Nonlinear Dynamical Shape Priors for Level Set Segmentation (D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007.  [bibtex] [pdf]
[]Scaled motion dynamics for markerless motion capture (B. Rosenhahn, T. Brox and H.-P. Seidel), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007.  [bibtex] [pdf]
[]Efficient Shape Matching via Graph Cuts (F. R. Schmidt, E. Toeppe, D. Cremers and Y. Boykov), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Springer, volume 4679, 2007.  [bibtex] [pdf]
[]Online smoothing for markerless motion capture (B. Rosenhahn, T. Brox, D. Cremers and H.-P. Seidel), In Pattern Recognition (Proc. DAGM), Springer, 2007.  [bibtex] [pdf]
[]WarpCut - Fast obstacle segmentation in monocular video (A. Wedel, T. Schoenemann, T. Brox and D. Cremers), In Pattern Recognition (Proc. DAGM), Springer, 2007.  [bibtex] [pdf]
[]Monocular Video Serves RADAR-based Emergency Braking (A. Wedel and U. Franke), In Intelligent Vehicles, 2007.  [bibtex] [pdf]
[]Intrinsic Mean for Semimetrical Shape Retrieval via Graph Cuts (F. R. Schmidt, E. Toeppe, D. Cremers and Y. Boykov), In Pattern Recognition (Proc. DAGM), Springer, volume 4713, 2007.  [bibtex] [pdf]
[]Fast Matching of Planar Shapes in Sub-cubic Runtime (F. R. Schmidt, Dirk Farin and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2007.  [bibtex] [pdf]
[]Introducing Curvature into Globally Optimal Image Segmentation: Minimum Ratio Cycles on Product Graphs (T. Schoenemann and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2007. (After publication, we became aware that a similar graph representation was proposed in a shortest-path context by Amini et al., PAMI 1990.) [bibtex] [pdf]
[]Globally Optimal Image Segmentation with an Elastic Shape Prior (T. Schoenemann and D. Cremers), In IEEE International Conference on Computer Vision (ICCV), 2007.  [bibtex] [pdf]
[]Nonparametric density estimation with adaptive anisotropic kernels for human motion tracking (T. Brox, B. Rosenhahn, D. Cremers and H.-P. Seidel), In Proc. 2nd International Workshop on Human Motion (A. Elgammal, B. Rosenhahn, R. Klette, eds.), Springer, volume 4814, 2007.  [bibtex] [pdf]
[]Continuous Global Optimization in Multiview 3D Reconstruction (K. Kolev, M. Klodt, T. Brox, S. Esedoglu and D. Cremers), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), Springer, volume 4679, 2007.  [bibtex] [pdf]
[]Propagated Photoconsistency and Convexity in Variational Multiview 3D Reconstruction (K. Kolev, M. Klodt, T. Brox and D. Cremers), In Workshop on Photometric Analysis for Computer Vision, 2007.  [bibtex] [pdf]
[]GPU-accelerated Affordance Cueing based on Visual Attention (S. May, M. Klodt, E. Rome and R. Breithaupt), In International Conference on Intelligent Robots and Systems (IROS 2007), 2007.  [bibtex] [pdf]
[]A Real-time Visual Attention System Using Integral Images (S. Frintrop, M. Klodt and E. Rome), In 5th International Conference on Computer Vision Systems (ICVS 2007), 2007.  [bibtex] [pdf]
[]Mumford-Shah Meets Stereo: Integration of Weak Depth Hypotheses (T. Pock, C. Zach and H. Bischof), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007.  [bibtex]
[]A Globally Optimal Algorithm for Robust TV-L1 Range Image Integration (C. Zach, T. Pock and H. Bischof), In IEEE International Conference on Computer Vision (ICCV), 2007.  [bibtex]
[]A Duality Based Algorithm for TV-L1-Optical-Flow Image Registration (T. Pock, M. Urschler, C. Zach, R. Beichel and H. Bischof), In 10th International Conference on Medical Image Computing and Computer Assisted Intervention, 2007.  [bibtex]
[]A Duality Based Approach for Realtime TV-L1 Optical Flow (C. Zach, T. Pock and H. Bischof), In Pattern Recognition (Proc. DAGM), 2007.  [bibtex]
[]Real-time Computation of Variational Methods on Graphics Hardware (Thomas Pock, Markus Grabner and Horst Bischof), In Computer Vision Winter Workshop 2007, 2007.  [bibtex]
2006
[] See, walk, and kick: Humanoid robots start to play soccer (S. Behnke, M. Schreiber, J. Stueckler, R. Renner and H. Strasdat), In Proc. of the IEEE-RAS Int. Conf. on Humanoid Robots (Humanoids), 2006.  [bibtex] [pdf] [doi]
[]Vision-based Interpolation of 3D Laser Scans (H. Andreasson, R. Triebel and A. Lilienthal), In Proc. International Conference on Autonomous Robots and Agents (ICARA), 2006.  [bibtex] [pdf]
[]Robust 3D Scan Point Classification using Associative Markov Networks (R. Triebel, K. Kersting and W. Burgard), In International Conference on Robotics and Automation (ICRA), 2006.  [bibtex] [pdf]
[]Multi-Level Surface Maps for Outdoor Terrain Mapping and Loop Closing (R. Triebel, P. Pfaff and W. Burgard), In Proc. of the International Conference on Intelligent Robots and Systems(IROS), 2006.  [bibtex] [pdf]
[]Dutch AIBO Team at RoboCup 2006 (A. Visser, P. van Rossum, J. Westra, J. Sturm and D. A. van Soest and M. de Greef), In Proceedings CD RoboCup 2006, Bremen, Germany, 2006.  [bibtex] [pdf]
[]Robot companion localization at home and in the office (A. Visser, J. Sturm and F.C.A. Groen), In Proc. of the Belgian-Netherlands Artificial Intelligence Conference (BNAIC), 2006.  [bibtex] [pdf]
[]Panoramic Localization in the 4-Legged League (J. Sturm, P. van Rossum and A. Visser), In Proc. of the RoboCup International Symposium (G. Lakemeyer, E. Sklar, D. Sorrenti, T. Takahashi, eds.), Springer, volume 4434, 2006.  [bibtex] [pdf]
[]Autonomous Color Learning in an Artificial Environment (D. A. van Soest and M. de Greef, J. Sturm and A. Visser), In Proc. of the Belgian-Netherlands Artificial Intelligence Conference (BNAIC), 2006.  [bibtex] [pdf]
[]Knowledge Based Image Enhancement Using Neural Networks (C. Nieuwenhuis and M. Yan), In International Conference on Pattern Recognition, Proceedings, 2006.  [bibtex] [pdf]
[]4D shape priors for level set segmentation of the left myocardium in SPECT sequences (T. Kohlberger, D. Cremers, M. Rousson and R. Ramaraj), In Medical Image Computing and Computer Assisted Intervention (MICCAI), volume 4190, 2006.  [bibtex] [pdf]
[]GPU histogram computation (O. Fluck, S. Aharon, D. Cremers and M. Rousson), In ACM SIGGRAPH posters and demos, 2006.  [bibtex] [pdf]
[]Nonparametric priors on the space of joint intensity distributions for non-rigid multi-modal image registration (D. Cremers, C. Guetter and C. Xu), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume 2, 2006.  [bibtex] [pdf]
[]Statistical priors for combinatorial optimization: efficient solutions via Graph Cuts (D. Cremers and L. Grady), In European Conference on Computer Vision (ECCV) (A. Leonardis, H. Bischof, A. Pinz, eds.), Springer, volume 3953, 2006.  [bibtex] [pdf]
[]Fully-automated analysis of muscle fiber images with combined region and edge based active contours (T. Brox, Y.-J. Kim, J. Weickert and W. Feiden), In Bildverarbeitung in der Medizin, Springer, 2006.  [bibtex] [pdf]
[]High accuracy optical flow serves 3-D pose tracking: exploiting contour and flow based constraints (T. Brox, B. Rosenhahn, D. Cremers and H.-P. Seidel), In European Conference on Computer Vision (ECCV) (A. Leonardis, H. Bischof, A. Pinz, eds.), Springer, volume 3952, 2006.  [bibtex] [pdf]
[]Variational motion segmentation with level sets (T. Brox, A. Bruhn and J. Weickert), In European Conference on Computer Vision (ECCV) (A. Leonardis, H. Bischof, A. Pinz, eds.), Springer, volume 3951, 2006.  [bibtex] [pdf]
[]A comparison of shape matching methods for contour based pose estimation (B. Rosenhahn, T. Brox, D. Cremers and H.-P. Seidel), In Proc. International Workshop on Combinatorial Image Analysis (R. Reulke, U. Eckhardt, B. Flach, U. Knauer, K. Polthier, eds.), Springer, volume 4040, 2006.  [bibtex] [pdf]
[]An integral solution to surface evolution PDEs via Geo-Cuts (Y. Boykov, V. Kolmogorov, D. Cremers and A. Delong), In European Conference on Computer Vision (ECCV) (A. Leonardis, H. Bischof, A. Pinz, eds.), Springer, volume 3953, 2006.  [bibtex] [pdf]
[]Realtime depth estimation and obstacle detection from monocular video (A. Wedel, U. Franke, J. Klappstein, T. Brox and D. Cremers), In Pattern Recognition (Proc. DAGM) (K. Franke et al., ed.), Springer, volume 4174, 2006.  [bibtex] [pdf]
[]Robust variational segmentation of 3D objects from multiple views (K. Kolev, T. Brox and D. Cremers), In Pattern Recognition (Proc. DAGM) (K. Franke et al., ed.), Springer, volume 4174, 2006.  [bibtex] [pdf]
[]Nonparametric density estimation for human pose tracking (T. Brox, B. Rosenhahn, U. Kersting and D. Cremers), In Pattern Recognition (Proc. DAGM) (K. Franke et al., ed.), Springer, volume 4174, 2006.  [bibtex] [pdf]
[]Near Real-time Motion Segmentation using Graph Cuts (T. Schoenemann and D. Cremers), In Pattern Recognition (Proc. DAGM), Springer, volume 4174, 2006.  [bibtex] [pdf]
[]Shape Matching by Variational Computation of Geodesics on a Manifold (F. R. Schmidt, M. Clausen and D. Cremers), In Pattern Recognition (Proc. DAGM), Springer, volume 4174, 2006.  [bibtex] [pdf]
[]Learning for multi-view 3D tracking in the context of particle filters (J. Gall, B. Rosenhahn, T. Brox, U. Kersting and H.-P. Seidel), In Advances in Visual Computing, Springer, volume 4292, 2006.  [bibtex] [pdf]
[]A Probabilistic Multiphase Model for Variational Image Segmentation (T. Pock and H. Bischof), In Pattern Recognition (Proc. DAGM), 2006.  [bibtex]
2005
[]Using Hierarchical EM to Extract Planes from 3D Range Scans (R. Triebel, W. Burgard and F. Dellaert), In International Conference on Robotics and Automation (ICRA), 2005.  [bibtex] [pdf]
[]Improving Simultaneous Localization and Mapping in 3D Using Global Constraints (R. Triebel and W. Burgard), In Proc. of the Twentieth National Conference on Artificial Intelligence (AAAI), 2005.  [bibtex] [pdf]
[]Improving Plane Extraction from 3D Data by Fusing Laser Data and Vision (H. Andreasson, R. Triebel and W. Burgard), In Proc. of the International Conference on Intelligent Robots and Systems(IROS), 2005.  [bibtex] [pdf]
[]Dutch AIBO Team at RoboCup 2005 (N. Wijngaards, F. Dignum, P. Jonker, T. de Ridder, A. Visser, S. Leijnen and J. Sturm), In Proceedings CD RoboCup 2005, Osaka, Japan, 2005.  [bibtex] [pdf]
[]Reconstructing the Geometry of Flowing Water (I. Ihrke, B. Goldluecke and M. Magnor), In IEEE International Conference on Computer Vision (ICCV), IEEE, 2005.  [bibtex] [pdf]
[]Spacetime-Continous Geometry Meshes from Multi-View Video Sequences (B. Goldluecke and M. Magnor), In Proceedings of the IEEE International Conference on Image Processing, IEEE Computer Society, 2005.  [bibtex] [pdf]
[]PDE based deconvolution with forward-backward diffusivities and diffusion tensors (M. Welk, D. Theis, T. Brox and J. Weickert), In Scale Space and PDE Methods in Computer Vision (R. Kimmel, N. Sochen, J. Weickert, eds.), Springer, 2005.  [bibtex] [pdf]
[]Efficient kernel density estimation of shape and intensity priors for level set segmentation (M. Rousson and D. Cremers), In Medical Image Computing and Computer Assisted Intervention (MICCAI), volume 1, 2005.  [bibtex] [pdf]
[]A system for marker-less human motion estimation (B. Rosenhahn, U. Kersting, D. Smith, J. Gurney, T. Brox and R. Klette), In Pattern Recognition (Proc. DAGM) (W. Kropatsch, R. Sablatnig, A. Hanbury, eds.), Springer, volume 3663, 2005.  [bibtex] [pdf]Received the best paper award
[]One-shot integral invariant shape priors for variational segmentation (S. Manay, D. Cremers, A. J. Yezzi and S. Soatto), In Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR) (A. Rangarajan, B. Vemuri, A. L. Yuille, eds.), volume 3757, 2005.  [bibtex]
[]Dynamical statistical shape priors for level set based tracking (D. Cremers and G. Funka-Lea), In Intl. Workshop on Variational and Level Set Methods (N. Paragios, F. Faugeras, T. Chan, C. Schnörr, eds.), Springer, volume 3752, 2005. (210–221) [bibtex] [pdf]
[]Three-dimensional shape knowledge for joint image segmentation and pose estimation (T. Brox, B. Rosenhahn and J. Weickert), In Pattern Recognition (Proc. DAGM) (W. Kropatsch, R. Sablatnig, A. Hanbury, eds.), Springer, volume 3663, 2005.  [bibtex] [pdf]
[]Stabilised nonlinear inverse diffusion for approximating hyperbolic PDEs (M. Breuß, T. Brox, T. Sonar and J. Weickert), In Scale Space and PDE Methods in Computer Vision (R. Kimmel, N. Sochen, J. Weickert, eds.), Springer, 2005.  [bibtex] [pdf]
2004
[]First steps towards a robotic system for flexible volumetric mapping of indoor environments (R. Triebel, B. Frank, J. Meyer and W. Burgard), In Proc. of the 5th IFAC/EURON Symposium on Intelligent Autonomous Vehicles (IAV), 2004.  [bibtex] [pdf]
[]Space-Time Isosurface Evolution for Temporally Coherent 3D Reconstruction (B. Goldluecke and M. Magnor), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Computer Society, volume I, 2004.  [bibtex] [pdf]
[]Weighted Minimal Hypersurfaces and Their Applications in Computer Vision (B. Goldluecke and M. Magnor), In European Conference on Computer Vision (ECCV), Springer, volume 3022, 2004.  [bibtex] [pdf]
[]Spacetime-coherent Geometry Reconstruction from Multiple Video Streams (M. Magnor and B. Goldluecke), In 2nd International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT) (Aloimonos, Y., ed.), IEEE, 2004.  [bibtex] [pdf]
[]Shedding light on stereoscopic segmentation (H. Jin, D. Cremers, A. Yezzi and S. Soatto), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (L. Davis, ed.), volume 1, 2004.  [bibtex] [pdf]
[]Multiphase dynamic labeling for variational recognition-driven image segmentation (D. Cremers, N. Sochen and C. Schnörr), In European Conference on Computer Vision (ECCV) (T. Pajdla, V. Hlavac, eds.), Springer, volume 3024, 2004.  [bibtex] [pdf]
[]Kernel density estimation and intrinsic alignment for knowledge-driven segmentation: Teaching level sets to walk (D. Cremers, S. J. Osher and S. Soatto), In Pattern Recognition (Proc. DAGM) (C. E. Rasmussen, ed.), Springer, volume 3175, 2004.  [bibtex] [pdf]
[]Level set based segmentation of multiple objects (T. Brox and J. Weickert), In Pattern Recognition (Proc. DAGM) (C.E. Rasmussen, H.H. Bülthoff, M.A. Giese, B. Schölkopf, eds.), Springer, volume 3175, 2004.  [bibtex] [pdf]
[]A TV flow based local scale measure for texture discrimination (T. Brox and J. Weickert), In European Conference on Computer Vision (ECCV) (T. Pajdla, J. Matas, eds.), Springer, volume 3022, 2004.  [bibtex] [pdf]
[]High accuracy optical flow estimation based on a theory for warping (T. Brox, A. Bruhn, N. Papenberg and J. Weickert), In European Conference on Computer Vision (ECCV) (T. Pajdla, J. Matas, eds.), Springer, volume 3024, 2004.  [bibtex] [pdf]Received "The Longuet-Higgins Best Paper Award"
[]Bayesian Approaches to Motion-based Image and Video Segmentation (D. Cremers), In 1st Int. Workshop on Complex Motion, Springer, volume 3417, 2004.  [bibtex] [pdf]
2003
[]Map Building with Mobile Robots in Dynamic Environments (D. Hähnel, R. Triebel, W. Burgard and S. Thrun), In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), 2003.  [bibtex] [pdf]
[]A system for volumetric robotic mapping of underground mines (S. Thrun, D. Hähnel, D. Ferguson, M. Montemerlo, R. Triebel, W. Burgard, C. Baker, Z. Omohundro, S. Thayer and W. Whittaker), In Proc. of the IEEE International Conference on Robotics and Automation (ICRA), 2003.  [bibtex] [pdf]
[]Hardware-accelerated Autostereogram Rendering for Interactive 3D Visualization (C. Petz, B. Goldluecke and M. Magnor), In Stereoscopic Displays and Virtual Reality Systems X, SPIE Proceedings, volume 5006, 2003.  [bibtex] [pdf]
[]Real-time, Free-viewpoint Video Rendering from Volumetric Geometry (B. Goldluecke and M. Magnor), In Visual Communications and Image Processing (Ebrahimi, Touradj, Sikora, Thomas, eds.), volume 5150 (2), 2003.  [bibtex] [pdf]
[]Real-time Microfacet Billboarding for Free-viewpoint Video Rendering (B. Goldluecke and M. Magnor), In Proceedings of the IEEE International Conference on Image Processing, IEEE Computer Society, volume 3, 2003.  [bibtex] [pdf]
[]Joint 3D Reconstruction and Background Separation in Multiple Views using Graph Cuts (B. Goldluecke and M. Magnor), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Computer Society, volume I, 2003.  [bibtex] [pdf]
[]Active unsupervised texture segmentation on a diffusion based feature space (M. Rousson, T. Brox and R. Deriche), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), volume 2, 2003.  [bibtex]
[]Dynamic texture segmentation (G. Doretto, D. Cremers, P. Favaro and S. Soatto), In IEEE International Conference on Computer Vision (ICCV) (B. Triggs, A. Zisserman, eds.), volume 2, 2003.  [bibtex] [pdf]
[]A generative model based approach to motion segmentation (D. Cremers and A. L. Yuille), In Pattern Recognition (Proc. DAGM) (B. Michaelis, G. Krell, eds.), Springer, volume 2781, 2003.  [bibtex] [pdf]
[]Towards Recognition-based Variational Segmentation Using Shape Priors and Dynamic Labeling (D. Cremers, N. Sochen and C. Schnörr), In Scale-Space Methods in Computer Vision (L. D. Griffin, M. Lillholm, eds.), Springer, volume 2695, 2003.  [bibtex] [pdf]
[]Variational space-time motion segmentation (D. Cremers and S. Soatto), In IEEE International Conference on Computer Vision (ICCV) (B. Triggs, A. Zisserman, eds.), volume 2, 2003.  [bibtex] [pdf]
[]A pseudo-distance for shape priors in level set segmentation (D. Cremers and S. Soatto), In IEEE 2nd Int. Workshop on Variational, Geometric and Level Set Methods (N. Paragios, ed.), 2003.  [bibtex] [pdf]
[]A multiphase level set framework for variational motion segmentation (D. Cremers), In Scale-Space Methods in Computer Vision (L. D. Griffin, M. Lillholm, eds.), Springer, volume 2695, 2003.  [bibtex] [pdf]
[]A variational framework for image segmentation combining motion estimation and shape regularization (D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (C. Dyer, P. Perona, eds.), volume 1, 2003.  [bibtex] [pdf]
[]Equivalence results for TV diffusion and TV regularisation (T. Brox, M. Welk, G. Steidl and J. Weickert), In Scale-Space Methods in Computer Vision (L. D. Griffin, M. Lillholm, eds.), Springer, volume 2695, 2003.  [bibtex] [pdf]
[]Unsupervised segmentation incorporating colour, texture, and motion (T. Brox, M. Rousson, R. Deriche and J. Weickert), In Computer Analysis of Images and Patterns (N. Petkov, M. A. Westenberg, eds.), Springer, volume 2756, 2003.  [bibtex] [pdf]
2002
[]Hardware-accelerated Dynamic Light Field Rendering (B. Goldluecke, M. Magnor and B. Wilburn), In Proceedings Vision, Modeling and Visualization (VMV), 2002.  [bibtex] [pdf]
[]Diffusion and regularization of vector- and matrix-valued images (J. Weickert and T. Brox), In Inverse Problems, Image Analysis, and Medical Imaging (M. Z. Nashed, O. Scherzer, eds.), AMS, volume 313, 2002.  [bibtex] [pdf]
[]Statistical shape knowledge in variational motion segmentation (D. Cremers and C. Schnörr), In 1st Internat. Workshop on Generative-Model-Based Vision (A. Pece, Y. N. Wu, R. Larsen, eds.), Univ. of Copenhagen, 2002. (http://www.diku.dk/research/published/2002/02-01) [bibtex]
[]Motion Competition: variational integration of motion segmentation and shape regularization (D. Cremers and C. Schnörr), In Pattern Recognition (Proc. DAGM) (L. van Gool, ed.), Springer, volume 2449, 2002.  [bibtex] [pdf]Received the Best Paper Award
[]Nonlinear shape statistics in Mumford–Shah based segmentation (D. Cremers, T. Kohlberger and C. Schnörr), In European Conference on Computer Vision (ECCV) (A. Heyden, others, eds.), Springer, volume 2351, 2002.  [bibtex] [pdf]
[]Unsupervised Image Partitioning with Semidefinite Programmifng (J. Keuchel, C. Schnoerr, C. Schellewald and D. Cremers), In Pattern Recognition (van Gool, L., ed.), Springer, volume 2449, 2002.  [bibtex]
[]Nonlinear matrix diffusion for optic flow estimation (T. Brox and J. Weickert), In Pattern Recognition (Proc. DAGM) (L. van Gool, ed.), Springer, volume 2449, 2002.  [bibtex] [pdf]
2001
[]Diffusion Snakes: Combining statistical shape knowledge and image information in a variational framework (D. Cremers, C. Schnörr and J. Weickert), In IEEE First Int. Workshop on Variational and Level Set Methods (N. Paragios, ed.), 2001.  [bibtex]Best Student Paper Award
[]Convex Relaxations for Binary Image Partitioning and Perceptual Grouping (J. Keuchel, C. Schellewald, D. Cremers and C. Schnoerr), In Pattern Recognition (Radig, B., Florczyk, S., eds.), Springer, volume 2191, 2001.  [bibtex]Received a DAGM Paper Award
[]Nonlinear shape statistics via kernel spaces (D. Cremers, T. Kohlberger and C. Schnörr), In Pattern Recognition (Proc. DAGM) (B. Radig, S. Florczyk, eds.), Springer, volume 2191, 2001.  [bibtex] [pdf]
[]Multi-stage region merging for image segmentation (T. Brox, D. Farin and P. H. N. de With), In Proc. 22nd Symposium on Information and Communication Theory in the Benelux, 2001.  [bibtex] [pdf]Received the best paper award
2000
[]Diffusion Snakes using statistical shape knowledge (D. Cremers, C. Schnörr, J. Weickert and C. Schellewald), In Algebraic Frames for the Perception-Action Cycle (C. Sommer, Y.Y. Zeevi, eds.), Springer, volume 1888, 2000.  [bibtex]
[]Learning of translation invariant shape knowledge for steering diffusion snakes (D. Cremers, C. Schnörr, J. Weickert and C. Schellewald), In Dynamische Perzeption (G. Baratoff, H. Neumann, eds.), Infix, volume 9, 2000.  [bibtex]
Books Book Chapters Journal Articles Preprints Conference and Workshop Papers PhD Thesis Technical Reports Other Publications inproceedings article 
PhD Thesis
2016
[]A Convex Optimization Framework for Connectivity Constraints in Image Segmentation and 3D Reconstruction (Stühmer, Jan), PhD thesis, Technische Universität München, 2016. ([Ph.D. Thesis]) [bibtex] [pdf]
2014
[] Efficient Dense Registration, Segmentation, and Modeling Methods for RGB-D Environment Perception (J. Stueckler), PhD thesis, Faculty of Mathematics and Natural Sciences, University of Bonn, Germany, 2014.  [bibtex] [pdf]
2012
[]Convexity in Image-Based 3D Surface Reconstruction (K. Kolev), PhD thesis, Department of Computer Science, Technical University Munich, Germany, 2012.  [bibtex] [pdf]
2011
[]Approaches to Probabilistic Model Learning for Mobile Manipulation Robots (J. Sturm), PhD thesis, University of Freiburg, 2011.  [bibtex] [pdf]Received the Artificial Intelligence Dissertation Award 2011 (ECCAI) and the Wolfgang-Genter-Award 2011 (University of Freiburg); Finalist at the Georges-Giralt-Award 2012 (EURON); Selected for the Best Paper Track at IJCAI 2013
2009
[]Restoration and Prostprocessing of Optical Flows (C. Nieuwenhuis), PhD thesis, Faculty of Mathematics and Computer Science, Heidelberg University, 2009.  [bibtex] [pdf]
2008
[]Combinatorial Solutions for Shape Optimization in Computer Vision (T. Schoenemann), PhD thesis, Department of Computer Science, University of Bonn, Germany, 2008.  [bibtex] [pdf]
2006
[]Multi-Camera Reconstruction and Rendering for Free-viewpoint Video (B. Goldluecke), PhD thesis, Max-Planck-Institute for Computer Science, Saarbrücken, 2006.  [bibtex] [pdf]
2005
[]From pixels to regions: partial differential equations in image analysis (T. Brox), PhD thesis, Faculty of Mathematics and Computer Science, Saarland University, 2005.  [bibtex] [pdf]
2002
[]Statistical shape knowledge in variational image segmentation (D. Cremers), PhD thesis, Department of Mathematics and Computer Science, University of Mannheim, Germany, 2002.  [bibtex] [pdf]
Books Book Chapters Journal Articles Preprints Conference and Workshop Papers PhD Thesis Technical Reports Other Publications inproceedings article 
Technical Reports
2013
[]Label Configuration Priors for Continuous Multi-Label Optimization (M. Souiai, E. Strekalovskiy, C. Nieuwenhuis and D. Cremers), Technical report, , 2013.  [bibtex] [pdf]
2008
[]A Convex Approach for Computing Minimal Partitions (A. Chambolle, D. Cremers and T. Pock), Technical report, Dept. of Computer Science, University of Bonn, 2008.  [bibtex] [pdf]
2007
[]Iterated and Efficient Nonlocal Means for Denoising of Textural Patterns (T. Brox, O. Kleinschmidt and D. Cremers), Technical report, Dept. of Computer Science, University of Bonn, 2007. (Available by e-mail on request.) [bibtex]
2006
[]Dutch Aibo Team: Technical Report RoboCup 2006 (A. Visser, J. Sturm, P. van Rossum, J. Westra and T. Bink), Technical report, Dutch Aibo Team, 2006.  [bibtex] [pdf]
2005
[]Dutch Aibo Team: Technical Report RoboCup 2005 (J. Sturm, A. Visser and N. Wijngaards), Technical report, Dutch Aibo Team, 2005.  [bibtex] [pdf]
[]A silhouette based human motion tracking system (B. Rosenhahn, U. Kersting, L. He, A. Smith, T. Brox, R. Klette and H. P. Seidel), Technical report, Centre for Imaging Technology and Robotics, University of Auckland, 2005.  [bibtex] [pdf]
[]Colour, texture, and motion in level set based segmentation and tracking (T. Brox, M. Rousson, R. Deriche and J. Weickert), Technical report, Dept. of Mathematics, Saarland University, 2005.  [bibtex] [pdf]
2000
[]Diffusion Snakes using statistical shape knowledge (D. Cremers, C. Schnörr, J. Weickert and C. Schellewald), Technical report, Dept. of Math. and Comp. Sci., Comp. Sci. Series, 2000.  [bibtex]
Books Book Chapters Journal Articles Preprints Conference and Workshop Papers PhD Thesis Technical Reports Other Publications inproceedings article 
Other Publications
2015
[]Approaches for Efficient and Autonomous Learning in Robotics and Computer Vision (R. Triebel), Habilitation thesis at TU Munich, Dep. of Computer Science, 2015.  [bibtex] [pdf]
2014note=IDPProject
[]TotalVariationSegmentationIncorporatingDepthInformationmonth=Sept. (NikolausDemmel), 2014note=idpproject.  [bibtex]
2014
[]Visual Inertial Control of a Nano-Quadrotor (Oliver Montague Welton Dunkley), Master's thesis, Technical University Munich, 2014.  [bibtex] [pdf]
[]Monocular Visual Inertial Odometry on a Mobile Device (M. Shelley), Master's thesis, Technical University Munich, 2014.  [bibtex] [pdf] [video]
[]Semi-dense visual SLAM on mobile devices (Thomas Schöps), Master's thesis, Technical University Munich, 2014.  [bibtex] [pdf] [video]
[]Feature Selection and Learning for Semantic Segmentation (Caner Hazirbas), Master's thesis, Technical University Munich, 2014.  [bibtex] [pdf]
[]Realizing Online (Self-)Collision Avoidance Based on Inequality Constraints with Hierarchical Inverse Kinematics (K. Knese), Master's thesis, Technical University of Munich, 2014.  [bibtex] [pdf]
2013
[]Out-of-Core Bundle Adjustment for 3D Workpiece Reconstruction (R. Maier), Master's thesis, Technische Universität München, 2013.  [bibtex] [pdf]
[]Lecture Notes: Visual Navigation for Flying Robots (J. Sturm), Technische Universität München, Germany, 2013.  [bibtex] [pdf]Distinguished with the TUM TeachInf Award for the best lecture in summer term 2013
2012
[]Conference Report - CVPR 2012 (M. R. Oswald), KI - Künstliche Intelligenz, volume 26, 2012.  [bibtex] [pdf]
[]Lecture Notes: Visual Navigation for Flying Robots (J. Sturm), Technische Universität München, Germany, 2012.  [bibtex] [pdf]Distinguished with the TUM TeachInf Award for the best lecture in summer term 2012
[]Odometry from RGB-D Cameras for Autonomous Quadrocopters (C. Kerl), Master's thesis, Technical University Munich, 2012.  [bibtex] [pdf]
[]Face recognition with wave kernel signatures using a depth camera (M. Brandl), Master's thesis, Technical University of Munich, 2012.  [bibtex]
2011
[]Conference Report - CVPR 2011 (E. Strekalovskiy), KI - Künstliche Intelligenz, volume 25, 2011.  [bibtex] [pdf]
[]Autonomous Camera-Based Navigation of a Quadrocopter (J. Engel), Master's thesis, Technical University Munich, 2011.  [bibtex] [pdf]Distinguished with the SIEMENS award for best Master's Thesis 2012
2010
[]Ein Variationsansatz zur Schätzung von dichten Tiefenkarten im Kontext des Structure-from-Motion (J. Stühmer), Master's thesis, TU Dresden, 2010.  [bibtex]
[]Newton Methods for Total Variation Minimization (M. Souiai), Master's thesis, Computer Vision Group, TU Munich, 2010.  [bibtex] [pdf]
2008
[]Reliability Estimation Methods and their Efficient Implementation (M. R. Oswald), Master's thesis, Universidad Tecnica Federico Santa Maria, 2008.  [bibtex] [pdf]
[]Shape Matching mittels Graph Cuts (E. Toeppe), Master's thesis, University of Bonn, 2008.  [bibtex] [pdf]Awarded Best Master Thesis of the Year (Bonn Society for Computer Science)
2007
[]Concurrent Stereo Reconstruction (M. R. Oswald), Master's thesis, Technische Universität Dresden, 2007.  [bibtex] [pdf]
2006
[]An appearance-based Visual Compass for Mobile Robots (J. Sturm), Master's thesis, University of Amsterdam, 2006.  [bibtex] [pdf]
[]Detektion stationaerer Hindernisse in monokularen Bildsequenzen (A. Wedel), Master's thesis, Computer Vision Group, University of Bonn, 2006.  [bibtex] [pdf]
2002
[]Smoothing of matrix-valued data (T. Brox), Master's thesis, Department of Mathematics and Computer Science, University of Mannheim, 2002.  [bibtex] [pdf]
2001
[]Nichtkonforme Finite Elemente und Kollokation für elliptische Randwertprobleme (B. Goldluecke), Master's thesis, Phillips-Universität Marburg, 2001.  [bibtex] [pdf]
Books Book Chapters Journal Articles Preprints Conference and Workshop Papers PhD Thesis Technical Reports Other Publications inproceedings article 
inproceedings
2007
[]Region-based Pose Tracking (C. Schmaltz, B. Rosenhahn, T. Brox, D. Cremers, J. Weickert, L. Wietzke and G. Sommer), In Proc. 3rd Iberian Conference on Pattern Recognition and Image Analysis, Springer, 2007.  [bibtex] [pdf]
[]Occlusion Modeling by Tracking Multiple Objects (C. Schmaltz, B. Rosenhahn, T. Brox, D. Cremers, J. Weickert, L. Wietzke and G. Sommer), In Pattern Recognition (Proc. DAGM), Springer, 2007.  [bibtex] [pdf]
Books Book Chapters Journal Articles Preprints Conference and Workshop Papers PhD Thesis Technical Reports Other Publications inproceedings article 
article
2006
[]A system for marker-less motion capture (B. Rosenhahn, T. Brox, U. G. Kersting, A. W. Smith, J. Gurney and R. Klette), In Künstliche Intelligenz, 2006.  [bibtex] [pdf]
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