| ICDAR 2015 competition on robust reading D Karatzas, L Gomez-Bigorda, A Nicolaou, S Ghosh, A Bagdanov, ... 2015 13th international conference on document analysis and recognition …, 2015 | 1796 | 2015 |
| Real-time scene text localization and recognition L Neumann, J Matas 2012 IEEE conference on computer vision and pattern recognition, 3538-3545, 2012 | 1111 | 2012 |
| A method for text localization and recognition in real-world images L Neumann, J Matas Computer Vision–ACCV 2010: 10th Asian Conference on Computer Vision …, 2011 | 736 | 2011 |
| Coco-text: Dataset and benchmark for text detection and recognition in natural images A Veit, T Matera, L Neumann, J Matas, S Belongie arXiv preprint arXiv:1601.07140, 2016 | 623 | 2016 |
| Deep textspotter: An end-to-end trainable scene text localization and recognition framework M Busta, L Neumann, J Matas Proceedings of the IEEE international conference on computer vision, 2204-2212, 2017 | 300 | 2017 |
| Scene text localization and recognition with oriented stroke detection L Neumann, J Matas Proceedings of the ieee international conference on computer vision, 97-104, 2013 | 287 | 2013 |
| Text localization in real-world images using efficiently pruned exhaustive search L Neumann, J Matas 2011 International Conference on Document Analysis and Recognition, 687-691, 2011 | 229 | 2011 |
| FASText: Efficient unconstrained scene text detector M Busta, L Neumann, J Matas 2015 IEEE International Conference on Computer Vision (ICCV), 1206-1214, 2015 | 196 | 2015 |
| Real-time lexicon-free scene text localization and recognition L Neumann, J Matas IEEE transactions on pattern analysis and machine intelligence 38 (9), 1872-1885, 2015 | 180 | 2015 |
| On combining multiple segmentations in scene text recognition L Neumann, J Matas 2013 12th International Conference on Document Analysis and Recognition, 523-527, 2013 | 143 | 2013 |
| Efficient scene text localization and recognition with local character refinement L Neumann, J Matas 2015 13th international conference on document analysis and recognition …, 2015 | 112 | 2015 |
| NightOwls: A Pedestrians at Night Dataset L Neumann, M Karg, S Zhang, C Scharfenberger, E Piegert, S Mistr, ... Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 110 | 2019 |
| Icdar2017 robust reading challenge on coco-text R Gomez, B Shi, L Gomez, L Numann, A Veit, J Matas, S Belongie, ... 2017 14th IAPR International Conference on Document Analysis and Recognition …, 2017 | 79 | 2017 |
| Relaxed softmax: Efficient confidence auto-calibration for safe pedestrian detection L Neumann, A Zisserman, A Vedaldi OpenReview, 2018 | 75 | 2018 |
| Future event prediction: If and when L Neumann, A Zisserman, A Vedaldi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 43 | 2019 |
| Pedestrian and ego-vehicle trajectory prediction from monocular camera L Neumann, A Vedaldi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 37 | 2021 |
| Tiny people pose L Neumann, A Vedaldi Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 29 | 2019 |
| Monocular depth estimation with self-supervised instance adaptation R McCraith, L Neumann, A Zisserman, A Vedaldi arXiv preprint arXiv:2004.05821, 2020 | 19 | 2020 |
| Calibrating self-supervised monocular depth estimation R McCraith, L Neumann, A Vedaldi arXiv preprint arXiv:2009.07714, 2020 | 11 | 2020 |
| Lifting 2d object locations to 3d by discounting lidar outliers across objects and views R McCraith, E Insafutdinov, L Neumann, A Vedaldi 2022 International Conference on Robotics and Automation (ICRA), 2411-2418, 2022 | 10 | 2022 |
Jiri MatasProfessor, Czech Technical UniversityE-mail megerősítve itt: cmp.felk.cvut.cz
