| MOT16: A benchmark for multi-object tracking A Milan, L Leal-Taixé, I Reid, S Roth, K Schindler arXiv preprint arXiv:1603.00831, 2016 | 751 | 2016 |
| 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 | 571 | 2015 |
| One-shot video object segmentation S Caelles, KK Maninis, J Pont-Tuset, L Leal-Taixé, D Cremers, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 556 | 2017 |
| Image-based localization using LSTMs for structured feature correlation F Walch, C Hazirbas, L Leal-Taixé, T Sattler, S Hilsenbeck, D Cremers International Conference on Computer Vision (ICCV), 2017 | 311 | 2017 |
| Learning by tracking: Siamese CNN for robust target association L Leal-Taixé, C Canton-Ferrer, K Schindler Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 298 | 2016 |
| Everybody needs somebody: Modeling social and grouping behavior on a linear programming multiple people tracker L Leal-Taixé, G Pons-Moll, B Rosenhahn Computer Vision Workshops (ICCV Workshops), 2011 IEEE International …, 2011 | 206 | 2011 |
| Tracking without bells and whistles P Bergmann, T Meinhardt, L Leal-Taixe International Conference on Computer Vision (ICCV), 2019 | 195 | 2019 |
| Learning an image-based motion context for multiple people tracking L Leal-Taixé, M Fenzi, A Kuznetsova, B Rosenhahn, S Savarese IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014 | 192 | 2014 |
| Joint Tracking and Segmentation of Multiple Targets A Milan, L Leal-Taixé, K Schindler, I Reid IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015 | 178 | 2015 |
| Video object segmentation without temporal information KK Maninis, S Caelles, Y Chen, J Pont-Tuset, L Leal-Taixé, D Cremers, ... IEEE transactions on pattern analysis and machine intelligence 41 (6), 1515-1530, 2018 | 151 | 2018 |
| Real-time sign language recognition using a consumer depth camera A Kuznetsova, L Leal-Taixé, B Rosenhahn IEEE International Conference on Computer Vision Workshops (ICCVW), 3rd …, 2013 | 121 | 2013 |
| Understanding the Limitations of CNN-based Absolute Camera Pose Regression T Sattler, Q Zhou, M Pollefeys, L Leal-Taixe Conference on Computer Vision and Pattern Recognition (CVPR), 3302-3312, 2019 | 115 | 2019 |
| Fusion of head and full-body detectors for multi-object tracking R Henschel, L Leal-Taixé, D Cremers, B Rosenhahn Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 106 | 2018 |
| Tracking the trackers: an analysis of the state of the art in multiple object tracking L Leal-Taixé, A Milan, K Schindler, D Cremers, I Reid, S Roth arXiv preprint arXiv:1704.02781, 2017 | 99 | 2017 |
| Branch-and-price global optimization for multi-view multi-target tracking L Leal-Taixé, G Pons-Moll, B Rosenhahn Conference on Computer Vision and Pattern Recognition (CVPR), 2012 | 88* | 2012 |
| Outdoor human motion capture using inverse kinematics and von mises-fisher sampling G Pons-Moll, A Baak, J Gall, L Leal-Taixé, M Muller, HP Seidel, ... Computer Vision (ICCV), 2011 IEEE International Conference on, 1243-1250, 2011 | 87 | 2011 |
| Learning a Neural Solver for Multiple Object Tracking G Brasó, L Leal-Taixé Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 52 | 2020 |
| CVPR19 tracking and detection challenge: How crowded can it get? P Dendorfer, H Rezatofighi, A Milan, J Shi, D Cremers, I Reid, S Roth, ... arXiv preprint arXiv:1906.04567, 2019 | 44 | 2019 |
| 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 | 40 | 2020 |
| Class Generative Models based on Feature Regression for Pose Estimation of Object Categories M Fenzi, L Leal-Taixé, B Rosenhahn, J Ostermann Conference on Computer Vision and Pattern Recognition (CVPR), 2013 | 39 | 2013 |
Bodo RosenhahnLeibniz Universität HannoverVerifierad e-postadress på tnt.uni-hannover.de
