| MOT16: A benchmark for multi-object tracking A Milan arXiv preprint arXiv:1603.00831, 2016 | 2433 | 2016 |
| Tracking without bells and whistles P Bergmann, T Meinhardt, L Leal-Taixe International Conference on Computer Vision (ICCV), 2019 | 1254 | 2019 |
| Motchallenge 2015: Towards a benchmark for multi-target tracking L Leal-Taixé arXiv preprint arXiv:1504.01942, 2015 | 1164 | 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 | 1150 | 2017 |
| Trackformer: Multi-object tracking with transformers T Meinhardt, A Kirillov, L Leal-Taixe, C Feichtenhofer Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 942 | 2022 |
| Mot20: A benchmark for multi object tracking in crowded scenes P Dendorfer arXiv preprint arXiv:2003.09003, 2020 | 873 | 2020 |
| Hota: A higher order metric for evaluating multi-object tracking J Luiten, A Osep, P Dendorfer, P Torr, A Geiger, L Leal-Taixé, B Leibe International journal of computer vision 129, 548-578, 2021 | 862 | 2021 |
| 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 | 641 | 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 | 573 | 2016 |
| Learning a Neural Solver for Multiple Object Tracking G Brasó, L Leal-Taixé Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 556 | 2020 |
| 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 | 453 | 2019 |
| 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 | 413 | 2018 |
| 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 | 312 | 2014 |
| Motchallenge: A benchmark for single-camera multiple target tracking P Dendorfer, A Osep, A Milan, K Schindler, D Cremers, I Reid, S Roth, ... International Journal of Computer Vision 129, 845-881, 2021 | 289 | 2021 |
| 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 | 267 | 2011 |
| How To Train Your Deep Multi-Object Tracker Y Xu, A Osep, Y Ban, R Horaud, L Leal-Taixé, X Alameda-Pineda Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 256 | 2020 |
| Eagermot: 3d multi-object tracking via sensor fusion A Kim, A Ošep, L Leal-Taixé 2021 IEEE International conference on Robotics and Automation (ICRA), 11315 …, 2021 | 251 | 2021 |
| Learning temporal coherence via self-supervision for GAN-based video generation M Chu, Y Xie, J Mayer, L Leal-Taixé, N Thuerey SIGGRAPH, 2020 | 246 | 2020 |
| CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks M Maximov, I Elezi, L Leal-Taixé Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 243 | 2020 |
| Patch2Pix: Epipolar-Guided Pixel-Level Correspondences Q Zhou, T Sattler, L Leal-Taixe Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 227 | 2021 |
Daniel CremersTechnical University of MunichGeverifieerd e-mailadres voor tum.de