Michal Uricár

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 30

Top Topics

Supervised Learning

Autonomous Driving

Top Venues

Autonomous Vehicles and Machines

Publications

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)
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)
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 (2023)
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)
Matyás Skalický, Stepán Simsa, Michal Uricár, Milan Sulc
Business Document Information Extraction: Towards Practical Benchmarks. CoRR (2022)
Matyás Skalický, Stepán Simsa, Michal Uricár, Milan Sulc
Business Document Information Extraction: Towards Practical Benchmarks. CLEF (2022)
Michal Uricár, Ganesh Sistu, Lucie Yahiaoui, Senthil Kumar Yogamani
Pseudo-Label Ensemble-based Semi-supervised Learning for Handling Noisy Soiling Segmentation Annotations. CoRR (2021)
Antonín Vobecký, David Hurych, Michal Uricár, Patrick Pérez, Josef Sivic
Artificial Dummies for Urban Dataset Augmentation. AAAI (2021)
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)
Michal Uricár, Ganesh Sistu, Lucie Yahiaoui, Senthil Kumar Yogamani
Ensemble-Based Semi-Supervised Learning to Improve Noisy Soiling Annotations in Autonomous Driving. ITSC (2021)
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)
Antonín Vobecký, David Hurych, Michal Uricár, Patrick Pérez, Josef Sivic
Artificial Dummies for Urban Dataset Augmentation. CoRR (2020)
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 (2020)
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)
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)
Michal Uricár, Pavel Krízek, Ganesh Sistu, Senthil Kumar Yogamani
SoilingNet: Soiling Detection on Automotive Surround-View Cameras. CoRR (2019)
Michal Uricár, Pavel Krízek, David Hurych, Ibrahim Sobh, Senthil Kumar Yogamani, Patrick Denny
Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving. CoRR (2019)
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 (2019)
Michal Uricár, David Hurych, Pavel Krízek, Senthil Kumar Yogamani
Challenges in Designing Datasets and Validation for Autonomous Driving. VISIGRAPP (5: VISAPP) (2019)
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)
Michal Uricár, David Hurych, Pavel Krízek, Senthil Kumar Yogamani
Challenges in Designing Datasets and Validation for Autonomous Driving. CoRR (2019)
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)
Michal Uricár, Pavel Krízek, Ganesh Sistu, Senthil Kumar Yogamani
SoilingNet: Soiling Detection on Automotive Surround-View Cameras. ITSC (2019)
Antonín Vobecký, Michal Uricár, David Hurych, Radoslav Skoviera
Advanced Pedestrian Dataset Augmentation for Autonomous Driving. ICCV Workshops (2019)
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 (2019)
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 (2019)
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)
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 (2016)
Jan Cech, Vojtech Franc, Michal Uricár, Jiri Matas
Multi-view facial landmark detection by using a 3D shape model. Image Vis. Comput. 47 (2016)
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)
Michal Uricár, Vojtech Franc, Václav Hlavác
Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector. ICCV Workshops (2015)
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)
Michal Uricár, Vojtech Franc, Václav Hlavác
Bundle Methods for Structured Output Learning - Back to the Roots. SCIA (2013)
Michal Uricár, Vojtech Franc, Václav Hlavác
Facial Landmarks Detector Learned by the Structured Output SVM. VISIGRAPP (Selected Papers) (2012)
Michal Uricár, Vojtech Franc, Václav Hlavác
Detector of Facial Landmarks Learned by the Structured Output SVM . VISAPP (1) (2012)