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Stefan Roth
Stefan Roth
Professor of Computer Science, TU Darmstadt
Verified email at cs.tu-darmstadt.de - Homepage
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Cited by
Year
The cityscapes dataset for semantic urban scene understanding
M Cordts, M Omran, S Ramos, T Rehfeld, M Enzweiler, R Benenson, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
107722016
A database and evaluation methodology for optical flow
S Baker, D Scharstein, JP Lewis, S Roth, MJ Black, R Szeliski
International Journal of Computer Vision 92 (1), 1-31, 2011
31662011
A database and evaluation methodology for optical flow
S Baker, D Scharstein, JP Lewis, S Roth, MJ Black, R Szeliski
Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on, 1-8, 2007
3166*2007
Playing for data: Ground truth from computer games
SR Richter, V Vineet, S Roth, V Koltun
European Conference on Computer Vision, 102-118, 2016
19632016
Secrets of optical flow estimation and their principles
D Sun, S Roth, MJ Black
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on …, 2010
19002010
MOT16: A Benchmark for Multi-Object Tracking
A Milan, L Leal-Taixe, I Reid, S Roth, K Schindler
arXiv preprint arXiv:1603.00831, 2016
17342016
Fields of experts: A framework for learning image priors
S Roth, MJ Black
2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005
13722005
People-tracking-by-detection and people-detection-by-tracking
M Andriluka, S Roth, B Schiele
Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on …, 2008
12022008
Pictorial structures revisited: People detection and articulated pose estimation
M Andriluka, S Roth, B Schiele
Computer Vision and Pattern Recognition, 2009. CVPR 2009. IEEE Conference on …, 2009
11442009
MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking
L Leal-Taixé, A Milan, I Reid, S Roth, K Schindler
arXiv preprint arXiv:1504.01942, 2015
9692015
Fields of experts
S Roth, MJ Black
International Journal of Computer Vision 82 (2), 205-229, 2009
9392009
A quantitative analysis of current practices in optical flow estimation and the principles behind them
D Sun, S Roth, MJ Black
Technical report, Brown-CS-10-03, 2010
697*2010
Monocular 3d pose estimation and tracking by detection
M Andriluka, S Roth, B Schiele
Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, 623-630, 2010
6772010
Continuous Energy Minimization for Multi-Target Tracking.
A Milan, S Roth, K Schindler
IEEE transactions on pattern analysis and machine intelligence, 2013
6712013
Shrinkage fields for effective image restoration
U Schmidt, S Roth
Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on …, 2014
6072014
Tracking loose-limbed people
L Sigal, S Bhatia, S Roth, MJ Black, M Isard
Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the …, 2004
5672004
Benchmarking denoising algorithms with real photographs
T Plotz, S Roth
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
5162017
UnFlow: Unsupervised learning of optical flow with a bidirectional census loss
S Meister, J Hur, S Roth
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
5132018
Discrete-continuous optimization for multi-target tracking
A Andriyenko, K Schindler, S Roth
Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012
4792012
MOT20: A benchmark for multi object tracking in crowded scenes
P Dendorfer, H Rezatofighi, A Milan, J Shi, D Cremers, I Reid, S Roth, ...
arXiv preprint arXiv:2003.09003, 2020
4502020
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