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spezial:bib [2018/09/15 21:54] PD Dr. habil. Rudolph Triebel |
spezial:bib [2019/06/25 15:31] moellenh |
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Line 8: | Line 8: | ||
@STRING{ismar= {International Symposium on Mixed and Augmented Reality}} | @STRING{ismar= {International Symposium on Mixed and Augmented Reality}} | ||
- | on | + | |
@STRING{ai = {Artificial Intelligence}} | @STRING{ai = {Artificial Intelligence}} | ||
Line 3713: | Line 3713: | ||
year = {2009}, | year = {2009}, | ||
| | ||
+ | | ||
titleurl = {mitzel_et_al_dagm09.pdf} | titleurl = {mitzel_et_al_dagm09.pdf} | ||
} | } | ||
Line 3943: | Line 3944: | ||
address = {Germany}, | address = {Germany}, | ||
month = jul, | month = jul, | ||
+ | keywords = {optical-flow}, | ||
titleurl = {nieuwenhuis_PhDThesis.pdf}, | titleurl = {nieuwenhuis_PhDThesis.pdf}, | ||
} | } | ||
Line 4444: | Line 4446: | ||
pages ={1449--1462}, | pages ={1449--1462}, | ||
topic={optical flow}, | topic={optical flow}, | ||
- | keywords = {optical flow}, | + | keywords = {optical |
titleurl = {kybic_nieuwenhuis.pdf} | titleurl = {kybic_nieuwenhuis.pdf} | ||
} | } | ||
Line 4616: | Line 4618: | ||
booktitle = {International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, | booktitle = {International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, | ||
address = {Prag, Czech Republic}, | address = {Prag, Czech Republic}, | ||
+ | keywords = {optical-flow}, | ||
titleurl = {2011_SKC_ICASSP.pdf} | titleurl = {2011_SKC_ICASSP.pdf} | ||
} | } | ||
Line 4951: | Line 4954: | ||
@incollection{Golkov-et-al-cdmri14, | @incollection{Golkov-et-al-cdmri14, | ||
author = {V. Golkov and J.I. Sperl and M.I. Menzel and T. Sprenger and E.T. Tan and L. Marinelli and C.J. Hardy and A. Haase and D. Cremers}, | author = {V. Golkov and J.I. Sperl and M.I. Menzel and T. Sprenger and E.T. Tan and L. Marinelli and C.J. Hardy and A. Haase and D. Cremers}, | ||
- | title = {Joint Super-Resolution Using Only One Anisotropic Low-Resolution Image per q-Space Coordinate}, | + | title = {Joint Super-Resolution Using Only One Anisotropic Low-Resolution Image per {q}-Space Coordinate}, |
booktitle = {Computational Diffusion MRI}, | booktitle = {Computational Diffusion MRI}, | ||
publisher = {Springer}, | publisher = {Springer}, | ||
Line 4961: | Line 4964: | ||
@inproceedings{Golkov-et-al-esmrmb13-comparison, | @inproceedings{Golkov-et-al-esmrmb13-comparison, | ||
author = {V. Golkov and T. Sprenger and A. Menini and M.I. Menzel and D. Cremers and J.I. Sperl}, | author = {V. Golkov and T. Sprenger and A. Menini and M.I. Menzel and D. Cremers and J.I. Sperl}, | ||
- | title = {Effects of Low-Rank Constraints, | + | title = {Effects of Low-Rank Constraints, |
booktitle = esmrmb, | booktitle = esmrmb, | ||
year = 2013, | year = 2013, | ||
Line 5012: | Line 5015: | ||
@inproceedings{Golkov-et-al-ismrm13, | @inproceedings{Golkov-et-al-ismrm13, | ||
author = {V. Golkov and T. Sprenger and M.I. Menzel and E.T. Tan and K.F. King and C.J. Hardy and L. Marinelli and D. Cremers and J.I. Sperl}, | author = {V. Golkov and T. Sprenger and M.I. Menzel and E.T. Tan and K.F. King and C.J. Hardy and L. Marinelli and D. Cremers and J.I. Sperl}, | ||
- | title = {Noise Reduction in Accelerated Diffusion Spectrum Imaging through Integration of SENSE Reconstruction into Joint Reconstruction in Combination with q-Space Compressed Sensing}, | + | title = {Noise Reduction in Accelerated Diffusion Spectrum Imaging through Integration of SENSE Reconstruction into Joint Reconstruction in Combination with {q}-Space Compressed Sensing}, |
booktitle = ismrm, | booktitle = ismrm, | ||
year = 2013, | year = 2013, | ||
Line 5922: | Line 5925: | ||
keywords={rgb-d, | keywords={rgb-d, | ||
note = {{<a href="/ | note = {{<a href="/ | ||
+ | award = {Oral Presentation} | ||
} | } | ||
Line 7283: | Line 7287: | ||
url = " | url = " | ||
| | ||
- | keywords = {deeplearning, | + | keywords = {deeplearning, |
} | } | ||
Line 7562: | Line 7566: | ||
titleurl = {2017_ProductManifoldFilter.pdf}, | titleurl = {2017_ProductManifoldFilter.pdf}, | ||
topic = {Shape Analysis, Shape Matching}, | topic = {Shape Analysis, Shape Matching}, | ||
- | note = {{<a href="/ | + | note = {{<a href="/ |
} | } | ||
Line 7570: | Line 7574: | ||
@inproceedings{dzitsiuk2017icra, | @inproceedings{dzitsiuk2017icra, | ||
title={De-noising, | title={De-noising, | ||
- | author={Dzitsiuk, | + | author={M. |
booktitle={International Conference on Robotics and Automation (ICRA)}, | booktitle={International Conference on Robotics and Automation (ICRA)}, | ||
year={2017}, | year={2017}, | ||
Line 7617: | Line 7621: | ||
@article{Mecca2016Single, | @article{Mecca2016Single, | ||
- | author={Mecca, | + | author={Mecca, |
title={{A Single-Lobe Photometric Stereo Approach for Heterogeneous Material}}, | title={{A Single-Lobe Photometric Stereo Approach for Heterogeneous Material}}, | ||
journal={SIAM Journal on Imaging Sciences}, | journal={SIAM Journal on Imaging Sciences}, | ||
Line 7658: | Line 7662: | ||
} | } | ||
- | @inproceedings{Golkov-et-al-arxiv2017-function3d, | + | @article{Golkov-et-al-arxiv2017-function3d, |
author = {V. Golkov and M. J. Skwark and A. Mirchev and G. Dikov and A. R. Geanes and J. Mendenhall and J. Meiler and D. Cremers}, | author = {V. Golkov and M. J. Skwark and A. Mirchev and G. Dikov and A. R. Geanes and J. Mendenhall and J. Meiler and D. Cremers}, | ||
title = {3D Deep Learning for Biological Function Prediction from Physical Fields}, | title = {3D Deep Learning for Biological Function Prediction from Physical Fields}, | ||
year = {2017}, | year = {2017}, | ||
- | % howpublished | + | journal |
- | | + | |
- | | + | |
keywords = {computational structural biology, deep learning, convolutional networks, protein function, QSAR, deeplearning}, | keywords = {computational structural biology, deep learning, convolutional networks, protein function, QSAR, deeplearning}, | ||
} | } | ||
Line 7766: | Line 7770: | ||
@inproceedings{QueauCVPR2017, | @inproceedings{QueauCVPR2017, | ||
address = {Honlulu, USA}, | address = {Honlulu, USA}, | ||
- | author = {Queau, Y. and Wu, T. and Lauze, F. and Durou, J.-D. and Cremers, D.}, | + | author = {Quéau, Y. and Wu, T. and Lauze, F. and Durou, J.-D. and Cremers, D.}, |
booktitle = cvpr, | booktitle = cvpr, | ||
title = {{A Non-Convex Variational Approach to Photometric Stereo under Inaccurate Lighting}}, | title = {{A Non-Convex Variational Approach to Photometric Stereo under Inaccurate Lighting}}, | ||
Line 7787: | Line 7791: | ||
} | } | ||
- | @InProceedings{hazirbas17ddff, | + | @InProceedings{hazirbas18ddff, |
- | | + | |
- | | + | title = {{Deep Depth From Focus}}, |
- | | + | year = "2018", |
- | title = {{<a href=" | + | month = " |
- | year = "2017", | + | |
- | | + | note = {{<a href=" |
- | note = {{<a href=" | + | |
| | ||
} | } | ||
Line 7924: | Line 7927: | ||
@inproceedings{maier2017efficient, | @inproceedings{maier2017efficient, | ||
title={Efficient Online Surface Correction for Real-time Large-Scale {3D} Reconstruction}, | title={Efficient Online Surface Correction for Real-time Large-Scale {3D} Reconstruction}, | ||
- | author={Maier, | + | author={R. |
booktitle={British Machine Vision Conference (BMVC)}, | booktitle={British Machine Vision Conference (BMVC)}, | ||
year={2017}, | year={2017}, | ||
Line 7935: | Line 7938: | ||
@inproceedings{golyanik2017multiframe, | @inproceedings{golyanik2017multiframe, | ||
title={Multiframe Scene Flow with Piecewise Rigid Motion}, | title={Multiframe Scene Flow with Piecewise Rigid Motion}, | ||
- | author={Golyanik, | + | author={V. |
booktitle={International Conference on 3D Vision (3DV)}, | booktitle={International Conference on 3D Vision (3DV)}, | ||
year={2017}, | year={2017}, | ||
month={October}, | month={October}, | ||
address={Qingdao, | address={Qingdao, | ||
+ | award = {Spotlight Presentation}, | ||
keywords={scene-flow, | keywords={scene-flow, | ||
note = {{<a href="/ | note = {{<a href="/ | ||
Line 7946: | Line 7950: | ||
@inproceedings{maier2017intrinsic3d, | @inproceedings{maier2017intrinsic3d, | ||
title={Intrinsic3D: | title={Intrinsic3D: | ||
- | author={Maier, | + | author={R. |
booktitle={International Conference on Computer Vision (ICCV)}, | booktitle={International Conference on Computer Vision (ICCV)}, | ||
year={2017}, | year={2017}, | ||
Line 7952: | Line 7956: | ||
address={Venice, | address={Venice, | ||
keywords={rgb-d, | keywords={rgb-d, | ||
- | note = {{<a href="/ | + | note = {{<a href="/ |
+ | } | ||
+ | |||
+ | @article{rodola2018funmaprep, | ||
+ | title = {Functional Maps Representation on Product Manifolds}, | ||
+ | | ||
+ | | ||
+ | | ||
+ | issue = 1, | ||
+ | year = {2019}, | ||
+ | note = {(Presented at Symposium on Geometry Processing (SGP)) {<a href=" | ||
+ | } | ||
+ | |||
+ | @article{Haefner2019A, | ||
+ | title = {Variational Uncalibrated Photometric Stereo under General Lighting}, | ||
+ | author = {Haefner, B. and Ye, Z. and Gao, M. and Wu, T. and Quéau, Y. and Cremers, D.}, | ||
+ | journal = {arXiv preprint arXiv: | ||
+ | eprint = {1904.03942}, | ||
+ | eprinttype = {arXiv}, | ||
+ | eprintclass = {cs.CV}, | ||
+ | year = {2019}, | ||
+ | titleurl = {haefner2019.pdf}, | ||
+ | note = { | ||
+ | {<a href="/ | ||
+ | }, | ||
+ | keywords={d-reconstruction, | ||
+ | } | ||
+ | |||
+ | |||
+ | @article{Haefner2018A, | ||
+ | title = {Photometric Depth Super-Resolution}, | ||
+ | | ||
+ | | ||
+ | year = {2019}, | ||
+ | | ||
+ | note = { | ||
+ | {<a href="/ | ||
+ | {<a href=" | ||
+ | {<a href=" | ||
+ | }, | ||
+ | keywords={rgb-d, | ||
+ | } | ||
+ | |||
+ | |||
+ | @inproceedings{Haefner2018CVPR, | ||
+ | title = {Fight ill-posedness with ill-posedness: | ||
+ | | ||
+ | | ||
+ | (CVPR)}, | ||
+ | year = {2018}, | ||
+ | | ||
+ | note = { | ||
+ | {<a href="/ | ||
+ | {<a href=" | ||
+ | {<a href=" | ||
+ | {<a href=" | ||
+ | }, | ||
+ | award = {Spotlight Presentation}, | ||
+ | keywords={rgb-d, | ||
} | } | ||
Line 7963: | Line 8025: | ||
award = {Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision}, | award = {Oral Presentation at ICCV Workshop on Color and Photometry in Computer Vision}, | ||
| | ||
- | note = {{<a href=" | + | note = { |
+ | {<a href=" | ||
+ | {<a href=" | ||
+ | }, | ||
+ | keywords={rgb-d, | ||
} | } | ||
Line 7969: | Line 8035: | ||
@inproceedings{wang2017stereoDSO, | @inproceedings{wang2017stereoDSO, | ||
title={Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras}, | title={Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras}, | ||
- | author={Wang, R. and Schw\" | + | |
booktitle={International Conference on Computer Vision (ICCV)}, | booktitle={International Conference on Computer Vision (ICCV)}, | ||
year={2017}, | year={2017}, | ||
Line 7975: | Line 8041: | ||
address={Venice, | address={Venice, | ||
keywords={dso, | keywords={dso, | ||
- | note = {{<a href="/ | + | note = {{<a href="/ |
} | } | ||
Line 8074: | Line 8140: | ||
titleurl = {bergmann17calibration.pdf}, | titleurl = {bergmann17calibration.pdf}, | ||
keywords={visual odometry, calibration, | keywords={visual odometry, calibration, | ||
- | note = {{This paper was also selected by ICRA' | + | note = {{This paper was also selected by ICRA' |
award = {ICRA' | award = {ICRA' | ||
+ | } | ||
+ | |||
+ | @InProceedings{laude-et-al-transductive, | ||
+ | author = "E. Laude and J.-H. Lange and J. Sch{\" | ||
+ | title = " | ||
+ | booktitle=cvpr, | ||
+ | year = " | ||
+ | titleurl = {laude-2018-discrete-continuous.pdf} | ||
} | } | ||
Line 8103: | Line 8177: | ||
} | } | ||
- | @inproceedings{Kukacka-et-al-2017, | + | @article{Kukacka-et-al-2017, |
author = {J. Kukačka and V. Golkov and D. Cremers}, | author = {J. Kukačka and V. Golkov and D. Cremers}, | ||
title = {Regularization for Deep Learning: A Taxonomy}, | title = {Regularization for Deep Learning: A Taxonomy}, | ||
year = {2017}, | year = {2017}, | ||
- | % howpublished | + | journal |
- | | + | |
- | | + | |
keywords = {deep learning, neural networks, regularization, | keywords = {deep learning, neural networks, regularization, | ||
} | } | ||
Line 8119: | Line 8193: | ||
booktitle = ismrm, | booktitle = ismrm, | ||
keywords = {novelty detection, anomaly detection, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, segmentation}, | keywords = {novelty detection, anomaly detection, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, segmentation}, | ||
+ | } | ||
+ | |||
+ | @inproceedings{Swazinna-et-al-ismrm2019, | ||
+ | author = {P. Swazinna and V. Golkov and I. Lipp and E. Sgarlata and V. Tomassini and D. K. Jones and D. Cremers}, | ||
+ | title = {Negative-Unlabeled Learning for Diffusion MRI}, | ||
+ | year = {2019}, | ||
+ | booktitle = ismrm, | ||
+ | keywords = {deep learning, machine learning, medical imaging, magnetic resonance imaging, diffusion MRI, weakly-supervised learning, positive-unlabeled learning, semi-supervised learning, localization, | ||
} | } | ||
Line 8130: | Line 8212: | ||
- | @inproceedings{Aljalbout-et-al-2018, | + | @inproceedings{Do-et-al-2018-pre-miRNA, |
- | author = {E. Aljalbout and V. Golkov and Y. Siddiqui and D. Cremers}, | + | author = {B. T. Do and V. Golkov and G. E. G\" |
+ | title = {Precursor microRNA Identification Using Deep Convolutional Neural Networks}, | ||
+ | year = {2018}, | ||
+ | % howpublished = {Preprint}, | ||
+ | note = {{<a href=" | ||
+ | booktitle = {bioRxiv preprint}, | ||
+ | keywords = {precursor microRNA, pre-miRNA, miRNA, deep learning, neural networks, machine learning, deeplearning, | ||
+ | } | ||
+ | |||
+ | @article{Aljalbout-et-al-2018, | ||
+ | author = {E. Aljalbout and V. Golkov and Y. Siddiqui | ||
title = {Clustering with Deep Learning: Taxonomy and New Methods}, | title = {Clustering with Deep Learning: Taxonomy and New Methods}, | ||
year = {2018}, | year = {2018}, | ||
- | % howpublished | + | journal |
- | | + | |
- | | + | |
keywords = {deep learning, clustering, cluster analysis, neural networks, deeplearning}, | keywords = {deep learning, clustering, cluster analysis, neural networks, deeplearning}, | ||
} | } | ||
Line 8162: | Line 8254: | ||
booktitle= ijcv, | booktitle= ijcv, | ||
year = {2018}, | year = {2018}, | ||
+ | month = {September}, | ||
eprint = {arXiv: | eprint = {arXiv: | ||
note = {{<a href=" | note = {{<a href=" | ||
- | keywords = {deeplearning} | + | keywords = {deeplearning, optical-flow} |
} | } | ||
+ | |||
@InProceedings{Frerix-et-al-18, | @InProceedings{Frerix-et-al-18, | ||
Line 8174: | Line 8268: | ||
year = " | year = " | ||
note = {{<a href=" | note = {{<a href=" | ||
- | } | ||
- | |||
- | @inproceedings{Haefner2018CVPR, | ||
- | title = {Fight ill-posedness with ill-posedness: | ||
- | | ||
- | | ||
- | (CVPR)}, | ||
- | year = {2018}, | ||
- | | ||
- | note = {{<a href="/ | ||
- | {<a href=" | ||
- | award = {Spotlight Presentation}, | ||
} | } | ||
Line 8233: | Line 8315: | ||
} | } | ||
- | @InProceedings{laude-et-al-transductive, | + | |
- | author = "E. Laude and J.-H. Lange and J. Schüpfer and C. Domokos and L. Leal-Taixé and F. R. Schmidt and B. Andres and D. Cremers", | + | |
- | title = " | + | |
- | booktitle=cvpr, | + | |
- | year = " | + | |
- | titleurl = {laude-2018-discrete-continuous.pdf} | + | |
- | } | + | |
@InProceedings{ | @InProceedings{ | ||
author = "M. Brucker and M. Durner and R. Ambrus and Z.-C. Marton and A. Wendt and P. Jensfelt and K.O. Arras and R. Triebel", | author = "M. Brucker and M. Durner and R. Ambrus and Z.-C. Marton and A. Wendt and P. Jensfelt and K.O. Arras and R. Triebel", | ||
Line 8263: | Line 8339: | ||
year = " | year = " | ||
month = " | month = " | ||
- | note = {accepted, to appear, | + | note = {{<a href=" |
keywords = tumvi | keywords = tumvi | ||
} | } | ||
Line 8272: | Line 8348: | ||
author = "X. Gao and R. Wang and N. Demmel and D. Cremers", | author = "X. Gao and R. Wang and N. Demmel and D. Cremers", | ||
title = "LDSO: Direct Sparse Odometry with Loop Closure", | title = "LDSO: Direct Sparse Odometry with Loop Closure", | ||
- | booktitle = iros, | + | booktitle = "iros", |
arXiv = " | arXiv = " | ||
year = " | year = " | ||
month = " | month = " | ||
- | note = {{<a href=" | + | note = {{<a href=" |
keywords = {dso, ldso} | keywords = {dso, ldso} | ||
} | } | ||
Line 8289: | Line 8365: | ||
} | } | ||
- | @inproceedings{Vasilev-et-al-2018, | + | @article{Vasilev-et-al-2018, |
- | author = {A. Vasilev and V. Golkov and I. Lipp and E. Sgarlata and V. Tomassini and D. K. Jones and D. Cremers}, | + | author = {A. Vasilev and V. Golkov |
title = {{q}-{S}pace Novelty Detection with Variational Autoencoders}, | title = {{q}-{S}pace Novelty Detection with Variational Autoencoders}, | ||
year = {2018}, | year = {2018}, | ||
- | % howpublished | + | journal |
- | | + | |
- | | + | |
keywords = {deep learning, novelty detection, anomaly detection, neural networks, medical imaging, magnetic resonance imaging, diffusion MRI, deeplearning, | keywords = {deep learning, novelty detection, anomaly detection, neural networks, medical imaging, magnetic resonance imaging, diffusion MRI, deeplearning, | ||
} | } | ||
Line 8309: | Line 8385: | ||
} | } | ||
- | @InProceedings{eisenberger2018divfree, | + | @article{eisenberger2019divfree, |
author = "M. Eisenberger and Z. L\" | author = "M. Eisenberger and Z. L\" | ||
- | title = " | + | title = " |
- | | + | |
arXiv = " arXiv: | arXiv = " arXiv: | ||
- | year = "2018", | + | year = "2019", |
- | month = "Juni", | + | month = "July", |
- | note = {{<a href=" | + | note = {Will be presented at Symposium on Geometry Processing (SGP) {<a href=" |
} | } | ||
Line 8326: | Line 8402: | ||
month = " | month = " | ||
award = {Oral Presentation}, | award = {Oral Presentation}, | ||
- | note = {{<a href=" | + | note = {{<a href=" |
} | } | ||
Line 8332: | Line 8408: | ||
author = "N. Yang and R. Wang and J. Stueckler and D. Cremers", | author = "N. Yang and R. Wang and J. Stueckler and D. Cremers", | ||
title = "Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry", | title = "Deep Virtual Stereo Odometry: Leveraging Deep Depth Prediction for Monocular Direct Sparse Odometry", | ||
- | booktitle | + | booktitle |
year = " | year = " | ||
month = " | month = " | ||
award = {Oral Presentation}, | award = {Oral Presentation}, | ||
- | note = {{<a href=" | + | note = {{<a href=" |
keywords = {dso, dvso, deep learning, deeplearning, | keywords = {dso, dvso, deep learning, deeplearning, | ||
} | } | ||
Line 8389: | Line 8465: | ||
year = 2018, | year = 2018, | ||
month = {Oct.}, | month = {Oct.}, | ||
- | } | + | award = {Best Cognitive Robotics Paper Finalist}, |
+ | | ||
@InProceedings{grixa18iros, | @InProceedings{grixa18iros, | ||
author = {I. Grixa and P. Schulz and W. St\" | author = {I. Grixa and P. Schulz and W. St\" | ||
Line 8409: | Line 8486: | ||
} | } | ||
+ | @InProceedings{estellers2018, | ||
+ | author = "V. Estellers and F. Schmidt and D. Cremers", | ||
+ | title = " | ||
+ | booktitle = {Proc. of the Int. Conference on 3D Vision (3DV)}, | ||
+ | year = " | ||
+ | month = " | ||
+ | keywords = " | ||
+ | topic = "Shape Analysis", | ||
+ | award = {Received the Best Paper Award at 3DV 2018}, | ||
+ | note = {{<a href=" | ||
+ | |||
+ | } | ||
+ | |||
+ | @InProceedings{brucker18pose, | ||
+ | author = {M. Brucker and M. Durner and Z.-C. Márton and F. Bálint-Benczédi and M. Sundermeyer and R. Triebel}, | ||
+ | title = {{6DoF} Pose Estimation for Industrial Manipulation based on Synthetic Data}, | ||
+ | booktitle = {International Symposium on Experimental Robotics (ISER) }, | ||
+ | address = {Buenos Aires, Argentina}, | ||
+ | year = 2018, | ||
+ | month = {Nov.} | ||
+ | } | ||
+ | @InProceedings{nissler18simultaneous, | ||
+ | author = {C. Nissler and M. Durner and Z.-C. Márton and R. Triebel}, | ||
+ | title = {Simultaneous Calibration and Mapping}, | ||
+ | booktitle = {International Symposium on Experimental Robotics (ISER) }, | ||
+ | address = {Buenos Aires, Argentina}, | ||
+ | year = 2018, | ||
+ | month = {Nov.} | ||
+ | } | ||
+ | |||
+ | @article{tjaden2018region, | ||
+ | title={A Region-based Gauss-Newton Approach to Real-Time Monocular Multiple Object Tracking}, | ||
+ | author={Tjaden, | ||
+ | journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, | ||
+ | year={2018}, | ||
+ | titleurl = {tjaden_et_al_pami18.pdf} | ||
+ | } | ||
+ | |||
+ | @inproceedings{wenzel18corl, | ||
+ | author = {P. Wenzel and Q. Khan and D. Cremers and L. Leal-Taixé}, | ||
+ | booktitle = {Conference on Robot Learning (CoRL)}, | ||
+ | title = {{Modular Vehicle Control for Transferring Semantic Information Between Weather Conditions Using GANs}}, | ||
+ | year = {2018}, | ||
+ | note = {{<a href=" | ||
+ | } | ||
+ | |||
+ | @article{Frerix2019, | ||
+ | author = "T. Frerix and M. Nie{\ss}ner and D. Cremers", | ||
+ | title = " | ||
+ | journal = " | ||
+ | primaryClass = " | ||
+ | year = " | ||
+ | note = {{<a href=" | ||
+ | } | ||
+ | |||
+ | @phdthesis{usenko_phd, | ||
+ | author = " | ||
+ | title = " | ||
+ | type = " | ||
+ | school = " | ||
+ | address = " | ||
+ | year = 2019, | ||
+ | note = {{<a href=" | ||
+ | } | ||
+ | |||
+ | @article{roy2019noninvasive, | ||
+ | title={A Non-invasive {3D} Body Scanner and Software Tool towards Analysis of Scoliosis}, | ||
+ | author={S. Roy and A.T.D. Gruenwald and A. Alves-Pinto and R. Maier and D. Cremers and D. Pfeiffer and R. Lampe}, | ||
+ | journal={BioMed Research International (BMRI)}, | ||
+ | year={2019}, | ||
+ | month={May}, | ||
+ | keywords={rgb-d, | ||
+ | note = {{<a href=" | ||
+ | } | ||
+ | |||
+ | @inproceedings{bylow2019combining, | ||
+ | title={Combining Depth Fusion and Photometric Stereo for Fine-Detailed {3D} Models}, | ||
+ | author={E. Bylow and R. Maier and F. Kahl and C. Olsson}, | ||
+ | booktitle={Scandinavian Conference on Image Analysis (SCIA)}, | ||
+ | year={2019}, | ||
+ | month={June}, | ||
+ | address={Norrk{\" | ||
+ | keywords={rgb-d, | ||
+ | award = {Oral Presentation, | ||
+ | note = {{<a href="/ | ||
+ | } | ||
+ | |||
+ | @InProceedings{laude-wu-cremers-aistats-19, | ||
+ | author = "E. Laude and T. Wu and D. Cremers", | ||
+ | title = {Optimization of Inf-Convolution Regularized Nonconvex Composite Problems}, | ||
+ | booktitle = {International Conference on Artificial | ||
+ | Intelligence and Statistics (AISTATS)}, | ||
+ | year = " | ||
+ | titleurl = {laude-wu-cremers-aistats-19.pdf} | ||
+ | } | ||
+ | |||
+ | @InProceedings{moellenh-cvpr-19, | ||
+ | author = {T. M{\" | ||
+ | title = {Lifting Vectorial Variational Problems: A Natural Formulation based on | ||
+ | Geometric Measure Theory and Discrete Exterior Calculus}, | ||
+ | booktitle=cvpr, | ||
+ | year = " | ||
+ | titleurl = {moellenh-cvpr-19.pdf}, | ||
+ | award = {Oral Presentation}, | ||
+ | note = {{<a href=" | ||
+ | } | ||
+ | |||
+ | @article{moeller-et-al-19, | ||
+ | author = "M. Moeller and T. M{\" | ||
+ | title = " | ||
+ | journal = {preprint}, | ||
+ | year = " | ||
+ | note = {{<a href=" | ||
+ | } | ||
+ | |||
+ | @InProceedings{usenko19nfr, | ||
+ | author = "V. Usenko and N. Demmel and D. Schubert and J. Stueckler and D. Cremers", | ||
+ | title = " | ||
+ | eprint = {1904.06504}, | ||
+ | eprinttype = {arXiv}, | ||
+ | eprintclass = {cs.CV}, | ||
+ | booktitle={arXiv: | ||
+ | year = " | ||
+ | keywords = nfr | ||
+ | } | ||
+ | |||
+ | @Article{Pasa-et-al-2019, | ||
+ | author={F. Pasa and V. Golkov and F. Pfeiffer and D. Cremers and D. Pfeiffer}, | ||
+ | title={Efficient Deep Network Architectures for Fast Chest X-Ray Tuberculosis Screening and Visualization}, | ||
+ | journal={Scientific Reports}, | ||
+ | year={2019}, | ||
+ | volume={9}, | ||
+ | number={1}, | ||
+ | pages={6268}, | ||
+ | issn={2045-2322}, | ||
+ | doi={10.1038/ | ||
+ | url={https:// | ||
+ | keywords={medical imaging, | ||
+ | } | ||
+ | |||
+ | @article{wang19DirectShape, | ||
+ | author = "R. Wang and N. Yang and J. Stueckler and D. Cremers", | ||
+ | title = " | ||
+ | journal = {preprint}, | ||
+ | year = " | ||
+ | note = {{<a href=" | ||
+ | keywords = {stereo, 3D reconstruction, | ||
+ | } | ||
+ | |||
+ | @article{Schuchardt-et-al-2019, | ||
+ | author = {J. Schuchardt and V. Golkov and D. Cremers}, | ||
+ | title = {Learning to Evolve}, | ||
+ | year = {2019}, | ||
+ | journal = {arXiv preprint arXiv: | ||
+ | eprint = {1905.03389}, | ||
+ | eprinttype = {arXiv}, | ||
+ | keywords = {evolutionary algorithms, evolutionary computation, | ||
+ | } | ||
+ | |||
+ | @InProceedings{flatgan-icml-19, | ||
+ | author = "T. M{\" | ||
+ | title = "Flat Metric Minimization with Applications in Generative Modeling", | ||
+ | booktitle = " | ||
+ | primaryClass = " | ||
+ | year = " | ||
+ | note = {{<a href=" | ||
+ | award = {Full Oral Presentation} | ||
+ | } | ||
+ | |||
+ | @InProceedings{Frerix2019-givens, | ||
+ | title = {{Approximating Orthogonal Matrices with Effective Givens Factorization}}, | ||
+ | author = {T. Frerix and J. Bruna}, | ||
+ | booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)}, | ||
+ | year = {2019}, | ||
+ | note = {<a href=" | ||
+ | } | ||
+ | |||
+ | @article{gn-net-19, | ||
+ | author = "L. von Stumberg and P. Wenzel and Q. Khan and D. Cremers", | ||
+ | title = " | ||
+ | journal = {preprint}, | ||
+ | year = " | ||
+ | note = {{<a href=" | ||
+ | keywords = {gn-net} | ||
+ | } | ||
+ | |||
+ | @article{eisenberger2019smoothshells, | ||
+ | author = "M. Eisenberger and Z. L\" | ||
+ | title = " | ||
+ | journal = {preprint}, | ||
+ | year = " | ||
+ | note = {{<a href=" | ||
+ | } |