| MOT16: A benchmark for multi-object tracking A Milan, L Leal-Taixé, I Reid, S Roth, K Schindler arXiv preprint arXiv:1603.00831, 2016 | 3173 | 2016 |
| 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 (2), 548-578, 2021 | 1757 | 2021 |
| Trackformer: Multi-object tracking with transformers T Meinhardt, A Kirillov, L Leal-Taixe, C Feichtenhofer 2022 IEEE/CVF conference on computer vision and pattern recognition (CVPR …, 2022 | 1672 | 2022 |
| Tracking without bells and whistles P Bergmann, T Meinhardt, L Leal-Taixe International Conference on Computer Vision (ICCV), 2019 | 1608 | 2019 |
| 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 | 1348 | 2015 |
| 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 | 1317 | 2020 |
| 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 | 1284 | 2017 |
| Cosmos world foundation model platform for physical ai N Agarwal, A Ali, M Bala, Y Balaji, E Barker, T Cai, P Chattopadhyay, ... arXiv preprint arXiv:2501.03575, 2025 | 883 | 2025 |
| 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 | 756 | 2017 |
| Learning a Neural Solver for Multiple Object Tracking G Brasó, L Leal-Taixé Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 704 | 2020 |
| 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 | 616 | 2016 |
| 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 | 573 | 2019 |
| MOTChallenge: A benchmark for single-camera multiple target tracking: P. Dendorfer et al. P Dendorfer, A Osep, A Milan, K Schindler, D Cremers, I Reid, S Roth, ... International Journal of Computer Vision 129 (4), 845-881, 2021 | 539 | 2021 |
| 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 | 446 | 2018 |
| CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks M Maximov, I Elezi, L Leal-Taixé Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 392 | 2020 |
| Learning temporal coherence via self-supervision for GAN-based video generation M Chu, Y Xie, J Mayer, L Leal-Taixé, N Thuerey SIGGRAPH, 2020 | 392 | 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 | 367 | 2021 |
| 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 | 347 | 2014 |
| Patch2Pix: Epipolar-Guided Pixel-Level Correspondences Q Zhou, T Sattler, L Leal-Taixe Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 330 | 2021 |
| 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 | 321 | 2020 |
Daniel CremersTechnical University of MunichVerified email at tum.de
