| Deepercut: A deeper, stronger, and faster multi-person pose estimation model E Insafutdinov, L Pishchulin, B Andres, M Andriluka, B Schiele European conference on computer vision, 34-50, 2016 | 1056 | 2016 |
| Deepcut: Joint subset partition and labeling for multi person pose estimation L Pishchulin, E Insafutdinov, S Tang, B Andres, M Andriluka, PV Gehler, ... Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 953 | 2016 |
| Multiple people tracking by lifted multicut and person re-identification S Tang, M Andriluka, B Andres, B Schiele Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 500 | 2017 |
| Arttrack: Articulated multi-person tracking in the wild E Insafutdinov, M Andriluka, L Pishchulin, S Tang, E Levinkov, B Andres, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 287 | 2017 |
| Instancecut: from edges to instances with multicut A Kirillov, E Levinkov, B Andres, B Savchynskyy, C Rother Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 247 | 2017 |
| Multi-person tracking by multicut and deep matching S Tang, B Andres, M Andriluka, B Schiele European Conference on Computer Vision, 100-111, 2016 | 217 | 2016 |
| A comparative study of modern inference techniques for structured discrete energy minimization problems JH Kappes, B Andres, FA Hamprecht, C Schnörr, S Nowozin, D Batra, ... International Journal of Computer Vision 115 (2), 155-184, 2015 | 213 | 2015 |
| A comparative study of modern inference techniques for discrete energy minimization problems J Kappes, B Andres, F Hamprecht, C Schnorr, S Nowozin, D Batra, S Kim, ... Proceedings of the IEEE conference on computer vision and pattern …, 2013 | 209 | 2013 |
| Subgraph decomposition for multi-target tracking S Tang, B Andres, M Andriluka, B Schiele Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 208 | 2015 |
| Motion trajectory segmentation via minimum cost multicuts M Keuper, B Andres, T Brox Proceedings of the IEEE international conference on computer vision, 3271-3279, 2015 | 195 | 2015 |
| Motion segmentation & multiple object tracking by correlation co-clustering M Keuper, S Tang, B Andres, T Brox, B Schiele IEEE transactions on pattern analysis and machine intelligence 42 (1), 140-153, 2018 | 170 | 2018 |
| Segmentation of SBFSEM volume data of neural tissue by hierarchical classification B Andres, U Köthe, M Helmstaedter, W Denk, FA Hamprecht Joint Pattern Recognition Symposium, 142-152, 2008 | 134 | 2008 |
| Joint graph decomposition & node labeling: Problem, algorithms, applications E Levinkov, J Uhrig, S Tang, M Omran, E Insafutdinov, A Kirillov, C Rother, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 127 | 2017 |
| Efficient decomposition of image and mesh graphs by lifted multicuts M Keuper, E Levinkov, N Bonneel, G Lavoué, T Brox, B Andres Proceedings of the IEEE International Conference on Computer Vision, 1751-1759, 2015 | 125 | 2015 |
| OpenGM: A C++ library for discrete graphical models B Andres, T Beier, JH Kappes arXiv preprint arXiv:1206.0111, 2012 | 119 | 2012 |
| Probabilistic Image Segmentation with Closedness Constraints B Andres, JH Kappes, T Beier, U Kothe, FA Hamprecht Computer Vision (ICCV), 2011 IEEE International Conference on, 2611-2618, 2011 | 116 | 2011 |
| Globally Optimal Closed-surface Segmentation for Connectomics B Andres, T Kroeger, KL Briggman, W Denk, N Korogod, G Knott, ... Computer Vision (ECCV), European Conference on, 2012 | 115 | 2012 |
| A multi-cut formulation for joint segmentation and tracking of multiple objects M Keuper, S Tang, Y Zhongjie, B Andres, T Brox, B Schiele arXiv preprint arXiv:1607.06317, 2016 | 101 | 2016 |
| Reconstructing loopy curvilinear structures using integer programming E Turetken, F Benmansour, B Andres, H Pfister, P Fua Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 95 | 2013 |
| Globally Optimal Image Partitioning by Multicuts J Kappes, M Speth, B Andres, G Reinelt, C Schnörr Energy Minimazation Methods in Computer Vision and Pattern Recognition …, 2011 | 87 | 2011 |
Bernt SchieleProfessor, Max Planck Institute for Informatics, Saarland Informatics Campus, Saarland UniversityVerified email at mpi-inf.mpg.de
