| Yes, we gan: Applying adversarial techniques for autonomous driving M Uricár, P Krizek, D Hurych, I Sobh, S Yogamani, P Denny arXiv preprint arXiv:1902.03442, 2019 | 55 | 2019 |
| Desoiling dataset: Restoring soiled areas on automotive fisheye cameras M Uricár, J Ulicny, G Sistu, H Rashed, P Krizek, D Hurych, A Vobecky, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 33 | 2019 |
| Challenges in designing datasets and validation for autonomous driving M Uricár, D Hurych, P Krizek, S Yogamani arXiv preprint arXiv:1901.09270, 2019 | 30 | 2019 |
| Fast learnable object tracking and detection in high-resolution omnidirectional images D Hurych, K Zimmermann, T Svoboda International Conference on Computer Vision Theory and Applications 2, 521-530, 2011 | 15 | 2011 |
| Drive&segment: Unsupervised semantic segmentation of urban scenes via cross-modal distillation A Vobecky, D Hurych, O Siméoni, S Gidaris, A Bursuc, P Pérez, J Sivic European Conference on Computer Vision, 478-495, 2022 | 13 | 2022 |
| Advanced Pedestrian Dataset Augmentation for Autonomous Driving A Vobecký, M Uřičář, D Hurych, R Škoviera ICCV Autonomous Driving Workshop, 2019 | 8 | 2019 |
| Non-rigid object detection with localinterleaved sequential alignment (LISA) K Zimmermann, D Hurych, T Svoboda IEEE transactions on pattern analysis and machine intelligence 36 (4), 731-743, 2014 | 8 | 2014 |
| Artificial Dummies for Urban Dataset Augmentation A Vobecký, D Hurych, M Uřičář, P Pérez, J Šivic AAAI 2021, arXiv preprint arXiv:2012.08274, 2020 | 7 | 2020 |
| Improving cascade of classifiers by sliding window alignment in between K Zimmermann, D Hurych, T Svoboda The 5th International Conference on Automation, Robotics and Applications …, 2011 | 7 | 2011 |
| Incremental learning and validation of sequential predictors in video browsing application D Hurych, T Svoboda International Conference on Computer Vision Theory and Applications 2, 467-474, 2010 | 6 | 2010 |
| Exploiting features–locally interleaved sequential alignment for object detection K Zimmermann, D Hurych, T Svoboda Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013 | 3 | 2013 |
| Active shape model and linear predictors for face association refinement D Hurych, T Svoboda, J Trojanová, US Yadhunandan 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009 | 3 | 2009 |
| Teachers in concordance for pseudo-labeling of 3D sequential data AH Gebrehiwot, P Vacek, D Hurych, K Zimmermann, P Pérez, T Svoboda IEEE Robotics and Automation Letters 8 (2), 536-543, 2022 | 2 | 2022 |
| Detection of unseen patches trackable by linear predictors D Hurych, K Zimmermann, T Svoboda Computer Vision Winter Workshop, 107-114, 2011 | 2 | 2011 |
| POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images A Vobecký, O Siméoni, D Hurych, S Gidaris, A Bursuc, P Pérez, J Sivic Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 1 | 2023 |
| T-UDA: Temporal Unsupervised Domain Adaptation in Sequential Point Clouds AH Gebrehiwot, D Hurych, K Zimmermann, P Pérez, T Svoboda arXiv preprint arXiv:2309.08302, 2023 | | 2023 |
| Teachers in concordance for pseudo-labeling of 3D sequential data A Haileslassie Gebrehiwot, P Vacek, D Hurych, K Zimmermann, P Perez, ... arXiv e-prints, arXiv: 2207.06079, 2022 | | 2022 |
| Linear Predictors for Real-time Object Tracking and Detection D Hurych PQDT-Global, 2014 | | 2014 |
| AE3B33KUI—(feature-based) classification seminar T Svoboda, T Werner, D Hurych | | 2013 |
| Mutual On-Line Learning for Detection and Tracking in High-Resolution Images D Hurych, K Zimmermann, T Svoboda Computer Vision, Imaging and Computer Graphics. Theory and Applications …, 2013 | | 2013 |
Tomas SvobodaProfessor, Czech Technical University in Prague, Faculty of Electrical EngineeringVerified email at fel.cvut.cz
