| Woodscape: A multi-task, multi-camera fisheye dataset for autonomous driving S Yogamani, C Hughes, J Horgan, G Sistu, P Varley, D O'Dea, M Uricár, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 332 | 2019 |
| Detector of facial landmarks learned by the structured output SVM M Uřičář, V Franc, V Hlaváč VISAPP’12: Proceedings of the 7th International Conference on Computer …, 2012 | 199 | 2012 |
| 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 | 72* | 2021 |
| Soilingnet: Soiling detection on automotive surround-view cameras M Uřičář, P Křížek, G Sistu, S Yogamani 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 67-72, 2019 | 72 | 2019 |
| Structured output svm prediction of apparent age, gender and smile from deep features M Uricár, R Timofte, R Rothe, J Matas, L Van Gool Proceedings CVPRW 2016, 730-738, 2016 | 71 | 2016 |
| 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 | 69 | 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 | 53 | 2019 |
| Challenges in designing datasets and validation for autonomous driving M Uricár, D Hurych, P Krizek, S Yogamani arXiv preprint arXiv:1901.09270, 2019 | 49 | 2019 |
| Docile benchmark for document information localization and extraction Š Šimsa, M Šulc, M Uřičář, Y Patel, A Hamdi, M Kocián, M Skalický, ... International Conference on Document Analysis and Recognition, 147-166, 2023 | 39 | 2023 |
| Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector M Uřičář, V Franc, V Hlaváč Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 37 | 2015 |
| Real-time Multi-view Facial Landmark Detector Learned by the Structured Output SVM M Uricar, V Franc, D Thomas, A Sugimoto, V Hlavác BWILD'15: Biometrics in the Wild, 2015 | 36* | 2015 |
| Multi-view facial landmark detector learned by the structured output SVM M Uřičář, V Franc, D Thomas, A Sugimoto, V Hlaváč Image and Vision Computing 47, 45-59, 2016 | 32 | 2016 |
| Tiledsoilingnet: Tile-level soiling detection on automotive surround-view cameras using coverage metric A Das, P Křížek, G Sistu, F Bürger, S Madasamy, M Uřičář, VR Kumar, ... 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 28 | 2020 |
| Multi-view facial landmark detection by using a 3D shape model J Čech, V Franc, M Uřičář, J Matas Image and Vision Computing 47, 60-70, 2016 | 25 | 2016 |
| Let the sunshine in: Sun glare detection on automotive surround-view cameras L Yahiaoui, M Uřičář, A Das, S Yogamani Electronic Imaging 2020 (16), 80-1-80-9, 2020 | 23 | 2020 |
| 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 | 15 | 2021 |
| Business document information extraction: Towards practical benchmarks M Skalický, Š Šimsa, M Uřičář, M Šulc International Conference of the Cross-Language Evaluation Forum for European …, 2022 | 13 | 2022 |
| Fisheyemultinet: Real-time multi-task learning architecture for surround-view automated parking system P Maddu, W Doherty, G Sistu, I Leang, M Uricar, S Chennupati, H Rashed, ... arXiv preprint arXiv:1912.11066, 2019 | 12 | 2019 |
| Detector of facial landmarks M Uřičář Czech Technical University in Prague, 2011 | 12* | 2011 |
| Advanced pedestrian dataset augmentation for autonomous driving A Vobecky, M Uricár, D Hurych, R Skoviera Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 11* | 2019 |
Senthil YogamaniEngineering Director, Data-centric AI for Autonomous Driving at Qualcomm IncEmail verificata su qualcomm.com