Detecting Decision Ambiguity from Facial Images. - Pavel Jahoda; Antonín Vobecký; Jan Cech; Jiri Matas (FG, 2018)

Motion Prediction Influence on the Pedestrian Intention Estimation Near a Zebra Crossing. - Júlia Skovierová; Antonín Vobecký; Miroslav Uller; Radoslav Skoviera; Václav Hlavác (VEHITS, 2018)

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 (ICCV Workshops, 2019)

Advanced Pedestrian Dataset Augmentation for Autonomous Driving. - Antonín Vobecký; Michal Uricár; David Hurych; Radoslav Skoviera (ICCV Workshops, 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)

Artificial Dummies for Urban Dataset Augmentation. - Antonín Vobecký; David Hurych; Michal Uricár; Patrick Pérez; Josef Sivic (AAAI, 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 (WACV, 2021)

Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation. - Antonín Vobecký; David Hurych; Oriane Siméoni; Spyros Gidaris; Andrei Bursuc; Patrick Pérez; Josef Sivic (ECCV (38), 2022)

Unsupervised Object Localization: Observing the Background to Discover Objects. - Oriane Siméoni; Chloé Sekkat; Gilles Puy; Antonín Vobecký; Éloi Zablocki; Patrick Pérez (CVPR, 2023)

POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images. - Antonín Vobecký; Oriane Siméoni; David Hurych; Spyridon Gidaris; Andrei Bursuc; Patrick Pérez; Josef Sivic (NeurIPS, 2023)

OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks. - Sophia Sirko-Galouchenko; Alexandre Boulch; Spyros Gidaris; Andrei Bursuc; Antonín Vobecký; Patrick Pérez; Renaud Marlet (CVPR Workshops, 2024)

A Study of Test-time Contrastive Concepts for Open-world, Open-vocabulary Semantic Segmentation. - Monika Wysoczanska; Antonín Vobecký; Amaia Cardiel; Tomasz Trzcinski; Renaud Marlet; Andrei Bursuc; Oriane Siméoni (CoRR, 2024)

MOCA: Self-supervised Representation Learning by Predicting Masked Online Codebook Assignments. - Spyros Gidaris; Andrei Bursuc; Oriane Siméoni; Antonín Vobecký; Nikos Komodakis; Matthieu Cord; Patrick Pérez (Trans. Mach. Learn. Res., 2024)

Test-time Contrastive Concepts for Open-world Semantic Segmentation with Vision-Language Models. - Monika Wysoczanska; Antonín Vobecký; Amaia Cardiel; Tomasz Trzcinski; Renaud Marlet; Andrei Bursuc; Oriane Siméoni (Trans. Mach. Learn. Res., 2025)

DIP: Unsupervised Dense In-Context Post-training of Visual Representations. - Sophia Sirko-Galouchenko; Spyros Gidaris; Antonín Vobecký; Andrei Bursuc; Nicolas Thome (CoRR, 2025)

Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation. - Antonín Vobecký; David Hurych; Oriane Siméoni; Spyros Gidaris; Andrei Bursuc; Patrick Pérez; Josef Sivic (Int. J. Comput. Vis., 2025)