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ORCIDMichal Uricár
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- affiliation: Czech Technical University in Prague, Czech Republic
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2020 – today
- 2023
[c22]Stepán Simsa, Michal Uricár
, Milan Sulc, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas:
Overview of DocILE 2023: Document Information Localization and Extraction. CLEF 2023: 276-293- [c21]Stepán Simsa, Michal Uricár, Milan Sulc, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas:
Extended Overview of DocILE 2023: Document Information Localization and Extraction. CLEF (Working Notes) 2023: 546-571 - [c20]Stepán Simsa, Milan Sulc, Michal Uricár, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas:
DocILE Benchmark for Document Information Localization and Extraction. ICDAR (2) 2023: 147-166 - [i11]Stepán Simsa, Milan Sulc, Michal Uricár, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas:
DocILE Benchmark for Document Information Localization and Extraction. CoRR abs/2302.05658 (2023) - 2022
- [c19]Matyás Skalický, Stepán Simsa, Michal Uricár, Milan Sulc:
Business Document Information Extraction: Towards Practical Benchmarks. CLEF 2022: 105-117 - [i10]Matyás Skalický, Stepán Simsa, Michal Uricár, Milan Sulc:
Business Document Information Extraction: Towards Practical Benchmarks. CoRR abs/2206.11229 (2022) - 2021
- [c18]Antonín Vobecký, David Hurych, Michal Uricár, Patrick Pérez, Josef Sivic:
Artificial Dummies for Urban Dataset Augmentation. AAAI 2021: 2692-2700 - [c17]Michal Uricár, Ganesh Sistu, Lucie Yahiaoui, Senthil Kumar Yogamani:
Ensemble-Based Semi-Supervised Learning to Improve Noisy Soiling Annotations in Autonomous Driving. ITSC 2021: 2925-2930 - [c16]Michal Uricár, Ganesh Sistu, Hazem Rashed, Antonín Vobecký, Varun Ravi Kumar, Pavel Krízek, Fabian Bürger, Senthil Kumar Yogamani:
Let's Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving. WACV 2021: 766-775 - [i9]Michal Uricár, Ganesh Sistu, Lucie Yahiaoui, Senthil Kumar Yogamani:
Pseudo-Label Ensemble-based Semi-supervised Learning for Handling Noisy Soiling Segmentation Annotations. CoRR abs/2105.07930 (2021) - 2020
- [c15]Michal Uricár, Hazem Rashed, Adithya Ranga, Ashok Dahal, Senthil Kumar Yogamani:
VisibilityNet: Camera visibility detection and image restoration for autonomous driving. Autonomous Vehicles and Machines 2020: 1-8 - [c14]Lucie Yahiaoui, Michal Uricár, Arindam Das, Senthil Kumar Yogamani:
Let The Sunshine in: Sun Glare Detection on Automotive Surround-view Cameras. Autonomous Vehicles and Machines 2020: 1-9 - [c13]Arindam Das, Pavel Krízek, Ganesh Sistu, Fabian Bürger, Sankaralingam Madasamy, Michal Uricár, Varun Ravi Kumar, Senthil Kumar Yogamani:
TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric. ITSC 2020: 1-6 - [i8]Arindam Das, Pavel Krízek, Ganesh Sistu, Fabian Bürger, Sankaralingam Madasamy, Michal Uricár, Varun Ravi Kumar, Senthil Kumar Yogamani:
TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric. CoRR abs/2007.00801 (2020) - [i7]Antonín Vobecký, David Hurych, Michal Uricár, Patrick Pérez, Josef Sivic:
Artificial Dummies for Urban Dataset Augmentation. CoRR abs/2012.08274 (2020)
2010 – 2019
- 2019
- [c12]Michal Uricár, Pavel Krízek, David Hurych, Ibrahim Sobh, Senthil Kumar Yogamani, Patrick Denny:
Yes, we GAN: Applying adversarial techniques for autonomous driving. Autonomous Vehicles and Machines 2019: 1-17 - [c11]Senthil Kumar Yogamani, Christian Witt, Hazem Rashed, Sanjaya Nayak, Saquib Mansoor, Padraig Varley, Xavier Perrotton, Derek O'Dea, Patrick Pérez, Ciarán Hughes, Jonathan Horgan, Ganesh Sistu, Sumanth Chennupati, Michal Uricár, Stefan Milz, Martin Simon, Karl Amende:
WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving. ICCV 2019: 9307-9317 - [c10]Antonín Vobecký, Michal Uricár, David Hurych, Radoslav Skoviera:
Advanced Pedestrian Dataset Augmentation for Autonomous Driving. ICCV Workshops 2019: 2367-2372 - [c9]Michal Uricár, Ján Ulicný, Ganesh Sistu, Hazem Rashed, Pavel Krízek, David Hurych, Antonín Vobecký, Senthil Kumar Yogamani:
Desoiling Dataset: Restoring Soiled Areas on Automotive Fisheye Cameras. ICCV Workshops 2019: 4273-4279 - [c8]Michal Uricár, Pavel Krízek, Ganesh Sistu, Senthil Kumar Yogamani:
SoilingNet: Soiling Detection on Automotive Surround-View Cameras. ITSC 2019: 67-72 - [c7]Michal Uricár, David Hurych, Pavel Krízek, Senthil Kumar Yogamani:
Challenges in Designing Datasets and Validation for Autonomous Driving. VISIGRAPP (5: VISAPP) 2019: 653-659 - [i6]Michal Uricár, David Hurych, Pavel Krízek, Senthil Kumar Yogamani:
Challenges in Designing Datasets and Validation for Autonomous Driving. CoRR abs/1901.09270 (2019) - [i5]Michal Uricár, Pavel Krízek, David Hurych, Ibrahim Sobh, Senthil Kumar Yogamani, Patrick Denny:
Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving. CoRR abs/1902.03442 (2019) - [i4]Senthil Kumar Yogamani, Ciarán Hughes, Jonathan Horgan, Ganesh Sistu, Padraig Varley, Derek O'Dea, Michal Uricár, Stefan Milz, Martin Simon, Karl Amende, Christian Witt, Hazem Rashed, Sumanth Chennupati, Sanjaya Nayak, Saquib Mansoor, Xavier Perrotton, Patrick Pérez:
WoodScape: A multi-task, multi-camera fisheye dataset for autonomous driving. CoRR abs/1905.01489 (2019) - [i3]Michal Uricár, Pavel Krízek, Ganesh Sistu, Senthil Kumar Yogamani:
SoilingNet: Soiling Detection on Automotive Surround-View Cameras. CoRR abs/1905.01492 (2019) - [i2]Michal Uricár, Ganesh Sistu, Hazem Rashed, Antonín Vobecký, Pavel Krízek, Fabian Bürger, Senthil Kumar Yogamani:
Let's Get Dirty: GAN Based Data Augmentation for Soiling and Adverse Weather Classification in Autonomous Driving. CoRR abs/1912.02249 (2019) - [i1]Pullarao Maddu, Wayne Doherty, Ganesh Sistu, Isabelle Leang, Michal Uricár, Sumanth Chennupati, Hazem Rashed, Jonathan Horgan, Ciarán Hughes, Senthil Kumar Yogamani:
FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking System. CoRR abs/1912.11066 (2019) - 2016
- [j2]Michal Uricár, Vojtech Franc, Diego Thomas, Akihiro Sugimoto, Václav Hlavác:
Multi-view facial landmark detector learned by the Structured Output SVM. Image Vis. Comput. 47: 45-59 (2016) - [j1]Jan Cech, Vojtech Franc, Michal Uricár, Jiri Matas:
Multi-view facial landmark detection by using a 3D shape model. Image Vis. Comput. 47: 60-70 (2016) - [c6]Michal Uricár, Radu Timofte, Rasmus Rothe, Jiri Matas, Luc Van Gool:
Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features. CVPR Workshops 2016: 730-738 - 2015
- [c5]Michal Uricár, Vojtech Franc, Diego Thomas, Akihiro Sugimoto, Václav Hlavác:
Real-time multi-view facial landmark detector learned by the structured output SVM. FG 2015: 1-8 - [c4]Michal Uricár, Vojtech Franc, Václav Hlavác:
Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector. ICCV Workshops 2015: 963-970 - 2013
- [c3]Michal Uricár, Vojtech Franc, Václav Hlavác:
Bundle Methods for Structured Output Learning - Back to the Roots. SCIA 2013: 162-171 - 2012
- [c2]Michal Uricár, Vojtech Franc, Václav Hlavác:
Facial Landmarks Detector Learned by the Structured Output SVM. VISIGRAPP (Selected Papers) 2012: 383-398 - [c1]Michal Uricár, Vojtech Franc, Václav Hlavác:
Detector of Facial Landmarks Learned by the Structured Output SVM . VISAPP (1) 2012: 547-556
Coauthor Index
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