| 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 | 12955 | 2016 |
| 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 | 3303 | 2011 |
| 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 | 3303* | 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 | 2313 | 2016 |
| MOT16: A Benchmark for Multi-Object Tracking A Milan, L Leal-Taixe, I Reid, S Roth, K Schindler arXiv preprint arXiv:1603.00831, 2016 | 2131 | 2016 |
| 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 | 1950 | 2010 |
| Fields of experts: A framework for learning image priors S Roth, MJ Black 2005 IEEE Computer Society Conference on Computer Vision and Pattern …, 2005 | 1436 | 2005 |
| 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 | 1228 | 2008 |
| 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 | 1172 | 2009 |
| 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 | 1089 | 2015 |
| Fields of experts S Roth, MJ Black International Journal of Computer Vision 82 (2), 205-229, 2009 | 980 | 2009 |
| A quantitative analysis of current practices in optical flow estimation and the principles behind them D Sun, S Roth, MJ Black International Journal of Computer Vision, 115-137, 2014 | 751 | 2014 |
| 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 | 694 | 2010 |
| 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 | 689 | 2020 |
| Continuous Energy Minimization for Multi-Target Tracking. A Milan, S Roth, K Schindler IEEE transactions on pattern analysis and machine intelligence, 2013 | 685 | 2013 |
| Shrinkage fields for effective image restoration U Schmidt, S Roth Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on …, 2014 | 644 | 2014 |
| Benchmarking denoising algorithms with real photographs T Plotz, S Roth Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 611 | 2017 |
| 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 | 594 | 2018 |
| 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 | 572 | 2004 |
| Discrete-continuous optimization for multi-target tracking A Andriyenko, K Schindler, S Roth Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on …, 2012 | 484 | 2012 |
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland University在 mpi-inf.mpg.de 的电子邮件经过验证
