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Technical University of Munich

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Journal Articles
2017
[]Sequential Convex Programming for Computing Information-Theoretic Minimal Partitions: Nonconvex Nonsmooth Optimization (Y. Kee, Y. Lee, M. Souiai, D. Cremers and J. Kim), In SIAM J. Imaging Sci., volume 10, 2017.  [bibtex]
Conference and Workshop Papers
2015
[]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]
[]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]
[]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]
2014
[]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]
[]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]
[]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]
[]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]
[]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]
2013
[]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]
[]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]
2012
[]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]
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]
Other Publications
2010
[]Newton Methods for Total Variation Minimization (M. Souiai), Master's thesis, Computer Vision Group, TU Munich, 2010.  [bibtex] [pdf]
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News

03.04.2022

In April 2022 Jürgen Sturm, Christian Kerl and Daniel Cremers were featured among the top 10 most influential scholars in robotics of the last decade.

31.03.2022

We have open PhD and postdoc positions! To apply, please use our application form.

08.03.2022

We have six papers accepted to CVPR 2022 in New Orleans!

31.01.2022

We have two papers accepted to ICRA 2022 - congrats to Lukas von Stumberg, Qing Cheng and Niclas Zeller!

05.12.2021
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