| Let's get dirty: Gan based data augmentation for camera lens soiling detection in autonomous driving M Uricar, G Sistu, H Rashed, A Vobecky, VR Kumar, P Krizek, F Burger, ... Proceedings of the IEEE/CVF winter conference on applications of computer …, 2021 | 45* | 2021 |
| 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 | 28 | 2019 |
| Advanced Pedestrian Dataset Augmentation for Autonomous Driving A Vobecky, M Uricar, D Hurych, R Skoviera Proceedings of the IEEE International Conference on Computer Vision …, 2019 | 7 | 2019 |
| Motion Prediction Influence on the Pedestrian Intention Estimation Near a Zebra Crossing. J Skovierová, A Vobecký, M Uller, R Skoviera, V Hlavác VEHITS, 341-348, 2018 | 5 | 2018 |
| 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 Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 4 | 2022 |
| Artificial dummies for urban dataset augmentation A Vobecký, D Hurych, M Uřičář, P Pérez, J Sivic Proceedings of the AAAI Conference on Artificial Intelligence 35 (3), 2692-2700, 2021 | 4 | 2021 |
| Detecting decision ambiguity from facial images P Jahoda, A Vobecky, J Cech, J Matas 2018 13th IEEE International Conference on Automatic Face & Gesture …, 2018 | 3 | 2018 |
| Unsupervised Object Localization: Observing the Background to Discover Objects O Siméoni, C Sekkat, G Puy, A Vobecky, É Zablocki, P Pérez arXiv preprint arXiv:2212.07834, 2022 | | 2022 |
| Rozšíření dat pro trénink neuronových sítí V Antonín České vysoké učení technické v Praze. Vypočetní a informační centrum., 2019 | | 2019 |
| Odhadování úmyslů účastníků silničního provozu pomocí Bayesovských sítí A Vobecký České vysoké učení technické v Praze. Vypočetní a informační centrum., 2017 | | 2017 |
| Intention Estimation of Traffic Participants Using Bayesian Network A Vobecký | | 2017 |
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