Michal Uricár

According to our database, Michal Uricár authored at least 27 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DocILE Benchmark for Document Information Localization and Extraction.

Stepán Simsa, Milan Sulc, Michal Uricár, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

Extended Overview of DocILE 2023: Document Information Localization and Extraction.

Stepán Simsa, Michal Uricár, Milan Sulc, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Overview of DocILE 2023: Document Information Localization and Extraction.

Stepán Simsa, Michal Uricár, Milan Sulc, Yash Patel, Ahmed Hamdi, Matej Kocián, Matyás Skalický, Jirí Matas, Antoine Doucet, Mickaël Coustaty, Dimosthenis Karatzas

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2023

2022

Business Document Information Extraction: Towards Practical Benchmarks.

Matyás Skalický, Stepán Simsa, Michal Uricár, Milan Sulc

Proceedings of the Experimental IR Meets Multilinguality, Multimodality, and Interaction, 2022

2021

Pseudo-Label Ensemble-based Semi-supervised Learning for Handling Noisy Soiling Segmentation Annotations.

Michal Uricár, Ganesh Sistu, Lucie Yahiaoui, Senthil Kumar Yogamani

CoRR, 2021

Let's Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving.

Michal Uricár, Ganesh Sistu, Hazem Rashed, Antonín Vobecký, Varun Ravi Kumar, Pavel Krízek, Fabian Bürger, Senthil Kumar Yogamani

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Ensemble-Based Semi-Supervised Learning to Improve Noisy Soiling Annotations in Autonomous Driving.

Michal Uricár, Ganesh Sistu, Lucie Yahiaoui, Senthil Kumar Yogamani

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Artificial Dummies for Urban Dataset Augmentation.

Antonín Vobecký, David Hurych, Michal Uricár, Patrick Pérez, Josef Sivic

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

TiledSoilingNet: Tile-level Soiling Detection on Automotive Surround-view Cameras Using Coverage Metric.

Arindam Das, Pavel Krízek, Ganesh Sistu, Fabian Bürger, Sankaralingam Madasamy, Michal Uricár, Varun Ravi Kumar, Senthil Kumar Yogamani

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

Let The Sunshine in: Sun Glare Detection on Automotive Surround-view Cameras.

Lucie Yahiaoui, Michal Uricár, Arindam Das, Senthil Kumar Yogamani

Proceedings of the Autonomous Vehicles and Machines 2020, 2020

VisibilityNet: Camera visibility detection and image restoration for autonomous driving.

Michal Uricár, Hazem Rashed, Adithya Ranga, Ashok Dahal, Senthil Kumar Yogamani

Proceedings of the Autonomous Vehicles and Machines 2020, 2020

2019

FisheyeMultiNet: Real-time Multi-task Learning Architecture for Surround-view Automated Parking System.

Pullarao Maddu, Wayne Doherty, Ganesh Sistu, Isabelle Leang, Michal Uricár, Sumanth Chennupati, Hazem Rashed, Jonathan Horgan, Ciarán Hughes, Senthil Kumar Yogamani

CoRR, 2019

Let's Get Dirty: GAN Based Data Augmentation for Soiling and Adverse Weather Classification in Autonomous Driving.

Michal Uricár, Ganesh Sistu, Hazem Rashed, Antonín Vobecký, Pavel Krízek, Fabian Bürger, Senthil Kumar Yogamani

CoRR, 2019

Challenges in Designing Datasets and Validation for Autonomous Driving.

Michal Uricár, David Hurych, Pavel Krízek, Senthil Kumar Yogamani

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

SoilingNet: Soiling Detection on Automotive Surround-View Cameras.

Michal Uricár, Pavel Krízek, Ganesh Sistu, Senthil Kumar Yogamani

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Advanced Pedestrian Dataset Augmentation for Autonomous Driving.

Antonín Vobecký, Michal Uricár, David Hurych, Radoslav Skoviera

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Desoiling Dataset: Restoring Soiled Areas on Automotive Fisheye Cameras.

Michal Uricár, Ján Ulicný, Ganesh Sistu, Hazem Rashed, Pavel Krízek, David Hurych, Antonín Vobecký, Senthil Kumar Yogamani

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

WoodScape: A Multi-Task, Multi-Camera Fisheye Dataset for Autonomous Driving.

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

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Yes, we GAN: Applying adversarial techniques for autonomous driving.

Michal Uricár, Pavel Krízek, David Hurych, Ibrahim Sobh, Senthil Kumar Yogamani, Patrick Denny

Proceedings of the Autonomous Vehicles and Machines 2019, 2019

2016

Multi-view facial landmark detector learned by the Structured Output SVM.

Michal Uricár, Vojtech Franc, Diego Thomas, Akihiro Sugimoto, Václav Hlavác

Image Vis. Comput., 2016

Multi-view facial landmark detection by using a 3D shape model.

Jan Cech, Vojtech Franc, Michal Uricár, Jiri Matas

Image Vis. Comput., 2016

Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features.

Michal Uricár, Radu Timofte, Rasmus Rothe, Jiri Matas, Luc Van Gool

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015

Facial Landmark Tracking by Tree-Based Deformable Part Model Based Detector.

Michal Uricár, Vojtech Franc, Václav Hlavác

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Real-time multi-view facial landmark detector learned by the structured output SVM.

Michal Uricár, Vojtech Franc, Diego Thomas, Akihiro Sugimoto, Václav Hlavác

Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

2013

Bundle Methods for Structured Output Learning - Back to the Roots.

Michal Uricár, Vojtech Franc, Václav Hlavác

Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013

2012

Facial Landmarks Detector Learned by the Structured Output SVM.

Michal Uricár, Vojtech Franc, Václav Hlavác

Proceedings of the Computer Vision, Imaging and Computer Graphics. Theory and Application, 2012

Detector of Facial Landmarks Learned by the Structured Output SVM .

Michal Uricár, Vojtech Franc, Václav Hlavác

Proceedings of the VISAPP 2012, 2012