RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation G Lin, A Milan, C Shen, I Reid CVPR, 2017 | 3721 | 2017 |
MOT16: A benchmark for multi-object tracking A Milan, L Leal-Taixé, I Reid, S Roth, K Schindler arXiv preprint arXiv:1603.00831, 2016 | 2120 | 2016 |
Multiple object tracking: A literature review W Luo, J Xing, A Milan, X Zhang, W Liu, TK Kim Artificial intelligence 293, 103448, 2021 | 1147 | 2021 |
MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking L Leal-Taixé, A Milan, I Reid, S Roth, K Schindler arXiv:1504.01942, 2015 | 1087 | 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 | 686 | 2020 |
Continuous Energy Minimization for Multi-Target Tracking A Milan, S Roth, K Schindler IEEE transactions on pattern analysis and machine intelligence 35 (1), 2014 | 685 | 2014 |
Online multi-target tracking using recurrent neural networks A Milan, SH Rezatofighi, A Dick, I Reid, K Schindler Proceedings of the AAAI conference on Artificial Intelligence 31 (1), 2017 | 647 | 2017 |
PoseTrack: A benchmark for human pose estimation and tracking M Andriluka, U Iqbal, A Milan, E Insafutdinov, L Pishchulin, J Gall, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 532 | 2018 |
Discrete-continuous optimization for multi-target tracking A Andriyenko, K Schindler, S Roth 2012 IEEE Conference on Computer Vision and Pattern Recognition, 1926-1933, 2012 | 484 | 2012 |
Multi-target tracking by continuous energy minimization A Andriyenko, K Schindler CVPR 2011, 1265-1272, 2011 | 436 | 2011 |
Joint probabilistic data association revisited SH Rezatofighi, A Milan, Z Zhang, Q Shi, A Dick, I Reid Proceedings of the IEEE international conference on computer vision, 3047-3055, 2015 | 423 | 2015 |
PoseTrack: Joint Multi-Person Pose Estimation and Tracking U Iqbal, A Milan, J Gall arXiv preprint arXiv:1611.07727, 2016 | 272 | 2016 |
Detection- and Trajectory-Level Exclusion in Multiple Object Tracking A Milan, K Schindler, S Roth Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, 2013 | 259 | 2013 |
Multi-target tracking by discrete-continuous energy minimization A Milan, K Schindler, S Roth IEEE transactions on pattern analysis and machine intelligence 38 (10), 2054 …, 2015 | 232 | 2015 |
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 (4), 845-881, 2021 | 227 | 2021 |
Joint Tracking and Segmentation of Multiple Targets A Milan, L Leal-Taixé, K Schindler, I Reid Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on, 2015 | 219 | 2015 |
RGB-D object detection and semantic segmentation for autonomous manipulation in clutter M Schwarz, A Milan, AS Periyasamy, S Behnke The International Journal of Robotics Research 37 (4-5), 437-451, 2018 | 184 | 2018 |
Cartman: The low-cost cartesian manipulator that won the amazon robotics challenge D Morrison, AW Tow, M Mctaggart, R Smith, N Kelly-Boxall, ... 2018 IEEE international conference on robotics and automation (ICRA), 7757-7764, 2018 | 179 | 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 | 146 | 2017 |
Globally optimal multi-target tracking on a hexagonal lattice A Andriyenko, K Schindler Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 133 | 2010 |