| Robust higher order potentials for enforcing label consistency P Kohli, L Ladicky, PHS Torr International Journal of Computer Vision 82 (3), 302-324, 2009 | 1023 | 2009 |
| Associative hierarchical crfs for object class image segmentation L Ladicky, C Russell, P Kohli, PHS Torr Computer Vision, 2009 IEEE 12th International Conference on, 739-746, 2009 | 702 | 2009 |
| Graph cut based inference with co-occurrence statistics L Ladicky, C Russell, P Kohli, PHS Torr European conference on computer vision, 239-253, 2010 | 396 | 2010 |
| What, where and how many? combining object detectors and crfs Ľ Ladický, P Sturgess, K Alahari, C Russell, PHS Torr European conference on computer vision, 424-437, 2010 | 376 | 2010 |
| Pulling things out of perspective L Ladicky, J Shi, M Pollefeys Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 325 | 2014 |
| Markov random fields for vision and image processing A Blake, P Kohli, C Rother Mit Press, 2011 | 298 | 2011 |
| Combining appearance and structure from motion features for road scene understanding P Sturgess, K Alahari, L Ladicky, PHS Torr | 254 | 2009 |
| Semantic3d. net: A new large-scale point cloud classification benchmark T Hackel, N Savinov, L Ladicky, JD Wegner, K Schindler, M Pollefeys arXiv preprint arXiv:1704.03847, 2017 | 215 | 2017 |
| Joint optimization for object class segmentation and dense stereo reconstruction L Ladický, P Sturgess, C Russell, S Sengupta, Y Bastanlar, W Clocksin, ... International Journal of Computer Vision 100 (2), 122-133, 2012 | 200 | 2012 |
| Data-driven Fluid Simulations using Regression Forests Ľ Ladický, SH Jeong, B Solenthaler, M Pollefeys, M Gross ACM Transactions on Graphics (TOG) 34 (6), 199, 2015 | 160 | 2015 |
| Locally linear support vector machines L Ladicky, PHS Torr ICML, 2011 | 122 | 2011 |
| Associative hierarchical random fields Ľ Ladický, C Russell, P Kohli, PHS Torr IEEE Transactions on Pattern Analysis and Machine Intelligence 36 (6), 1056-1077, 2013 | 99 | 2013 |
| Human pose estimation using a joint pixel-wise and part-wise formulation L Ladicky, PHS Torr, A Zisserman proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 96 | 2013 |
| Discriminatively Trained Dense Surface Normal Estimation L Ladicky, B Zeisl, M Pollefeys Computer Vision–ECCV 2014, 468-484, 2014 | 92* | 2014 |
| Quad-networks: unsupervised learning to rank for interest point detection N Savinov, A Seki, L Ladicky, T Sattler, M Pollefeys Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 66 | 2017 |
| Inference methods for crfs with co-occurrence statistics Ľ Ladický, C Russell, P Kohli, PHS Torr International journal of computer vision 103 (2), 213-225, 2013 | 66 | 2013 |
| Automatic dense visual semantic mapping from street-level imagery S Sengupta, P Sturgess, L Ladicky, PHS Torr Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International …, 2012 | 56 | 2012 |
| Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction N Savinov, L Ladický, C Häne, M Pollefeys Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 55 | 2015 |
| Direction Matters: Depth Estimation with a Surface Normal Classifier C Häne, L Ladický, M Pollefeys Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 41 | 2015 |
| Mind the gap: modeling local and global context in (road) networks JA Montoya-Zegarraa, JD Wegnera, L Ladicky, K Schindler German Conference on Pattern Recognition, 2014 | 41 | 2014 |
