| Robust higher order potentials for enforcing label consistency P Kohli, L Ladicky, PHS Torr International Journal of Computer Vision 82 (3), 302-324, 2009 | 1205 | 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 | 929 | 2017 |
| 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 | 831 | 2009 |
| Pulling things out of perspective L Ladicky, J Shi, M Pollefeys Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 554 | 2014 |
| Graph cut based inference with co-occurrence statistics L Ladicky, C Russell, P Kohli, PHS Torr European conference on computer vision, 239-253, 2010 | 447 | 2010 |
| What, where and how many? combining object detectors and crfs Ľ Ladický, P Sturgess, K Alahari, C Russell, PHS Torr Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 426 | 2010 |
| 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 | 329 | 2015 |
| Combining appearance and structure from motion features for road scene understanding P Sturgess, K Alahari, L Ladicky, PHS Torr BMVC-British Machine Vision Conference, 2009 | 319 | 2009 |
| 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, 122-133, 2012 | 238 | 2012 |
| 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 | 218 | 2017 |
| Locally linear support vector machines L Ladický, PHS Torr Association for Computing Machinery, 2011 | 156 | 2011 |
| Discriminatively Trained Dense Surface Normal Estimation L Ladicky, B Zeisl, M Pollefeys Computer Vision–ECCV 2014, 468-484, 2014 | 141 | 2014 |
| 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 | 140 | 2013 |
| 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 | 124 | 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 | 114 | 2012 |
| Image Based Geo-localization in the Alps O Saurer, G Baatz, K Köser, L Ladicky, M Pollefeys International Journal of Computer Vision, 1-13, 2015 | 82 | 2015 |
| 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 | 72 | 2015 |
| Inference methods for crfs with co-occurrence statistics Ľ Ladický, C Russell, P Kohli, PHS Torr International journal of computer vision 103, 213-225, 2013 | 68 | 2013 |
| Semantic 3d reconstruction with continuous regularization and ray potentials using a visibility consistency constraint N Savinov, C Hane, L Ladicky, M Pollefeys Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 65 | 2016 |
| Depth Map Inpainting under a Second-Order Smoothness Prior D Herrera, J Kannala, L Ladicky, J Heikkilä Image Analysis, 555-566, 2013 | 62 | 2013 |
