| MOT16: A benchmark for multi-object tracking A Milan, L Leal-Taixé, I Reid, S Roth, K Schindler arXiv preprint arXiv:1603.00831, 2016 | 1602 | 2016 |
| You'll never walk alone: Modeling social behavior for multi-target tracking S Pellegrini, A Ess, K Schindler, L Van Gool IEEE International Conference on Computer Vision (ICCV), 261-268, 2009 | 1510 | 2009 |
| 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 | 924 | 2015 |
| A mobile vision system for robust multi-person tracking A Ess, B Leibe, K Schindler, L Van Gool IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1-8, 2008 | 828 | 2008 |
| Action snippets: How many frames does human action recognition require? K Schindler, L Van Gool IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1-8, 2008 | 724 | 2008 |
| Towards robust monocular depth estimation: Mixing datasets for zero-shot cross-dataset transfer R Ranftl, K Lasinger, D Hafner, K Schindler, V Koltun IEEE Transaction on Pattern Analysis and Machine Intelligence; arXiv …, 2019 | 694* | 2019 |
| New features and insights for pedestrian detection S Walk, N Majer, K Schindler, B Schiele IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1030-1037, 2010 | 680 | 2010 |
| Continuous energy minimization for multi-target tracking A Milan, S Roth, K Schindler IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (1), 58-72, 2014 | 667 | 2014 |
| SEMANTIC3D.NET: A new large-scale point cloud classification benchmark MP T Hackel, N Savinov, L Ladicky, JD Wegner, K Schindler ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2017 | 664* | 2017 |
| Online multi-target tracking using recurrent neural networks A Milan, SH Rezatofighi, A Dick, I Reid, K Schindler AAAI Conference on Artificial Intelligence (AAAI); arXiv preprint arXiv:1604 …, 2016 | 595 | 2016 |
| Classification with an edge: improving semantic image segmentation with boundary detection D Marmanis, K Schindler, JD Wegner, S Galliani, M Datcu, U Stilla ISPRS Journal of Photogrammetry and Remote Sensing 135, 158-172, 2018 | 572 | 2018 |
| A multi-view stereo benchmark with high-resolution images and multi-camera videos T Schops, JL Schonberger, S Galliani, T Sattler, K Schindler, M Pollefeys, ... IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3260-3269, 2017 | 546 | 2017 |
| Learning by tracking: Siamese CNN for robust target association L Leal-Taixé, C Canton-Ferrer, K Schindler IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW …, 2016 | 488 | 2016 |
| Discrete-continuous optimization for multi-target tracking A Andriyenko, K Schindler, S Roth IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1-8, 2012 | 476 | 2012 |
| Coupled object detection and tracking from static cameras and moving vehicles B Leibe, K Schindler, N Cornelis, L Van Gool IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (10), 1683 …, 2008 | 452 | 2008 |
| Multi-target tracking by continuous energy minimization A Andriyenko, K Schindler IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 1-8, 2011 | 418 | 2011 |
| Massively parallel multiview stereopsis by surface normal diffusion S Galliani, K Lasinger, K Schindler IEEE International Conference on Computer Vision (ICCV), 873-881, 2015 | 401 | 2015 |
| Coupled detection and trajectory estimation for multi-object tracking B Leibe, K Schindler, L Van Gool IEEE International Conference on Computer Vision (ICCV), 1-8, 2007 | 395 | 2007 |
| 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 | 384 | 2020 |
| Hyperspectral super-resolution by coupled spectral unmixing C Lanaras, E Baltsavias, K Schindler IEEE International Conference on Computer Vision (ICCV), 3586-3594, 2015 | 341 | 2015 |
Jan Dirk WegnerProfessor at University of ZurichVerified email at uzh.ch
