Active Shape Model and linear predictors for face association refinement. - David Hurych; Tomás Svoboda; Jana Trojanová; Yadhunandan U. S (ICCV Workshops, 2009)

Incremental Learning and Validation of Sequential Predictors in Video Browsing Application. - David Hurych; Tomás Svoboda (VISAPP (1), 2010)

Improving cascade of classifiers by sliding window alignment in between. - Karel Zimmermann; David Hurych; Tomás Svoboda (ICARA, 2011)

Fast Learnable Object Tracking and Detection in High-resolution Omnidirectional Images. - David Hurych; Karel Zimmermann; Tomás Svoboda (VISAPP, 2011)

Exploiting Features - Locally Interleaved Sequential Alignment for Object Detection. - Karel Zimmermann; David Hurych; Tomás Svoboda (ACCV (1), 2012)

Non-Rigid Object Detection with LocalInterleaved Sequential Alignment (LISA). - Karel Zimmermann; David Hurych; Tomás Svoboda (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

Yes, we GAN: Applying adversarial techniques for autonomous driving. - Michal Uricár; Pavel Krízek; David Hurych; Ibrahim Sobh; Senthil Kumar Yogamani; Patrick Denny (Autonomous Vehicles and Machines, 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 (ICCV Workshops, 2019)

Advanced Pedestrian Dataset Augmentation for Autonomous Driving. - Antonín Vobecký; Michal Uricár; David Hurych; Radoslav Skoviera (ICCV Workshops, 2019)

Challenges in Designing Datasets and Validation for Autonomous Driving. - Michal Uricár; David Hurych; Pavel Krízek; Senthil Kumar Yogamani (VISIGRAPP (5: VISAPP), 2019)

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

T-UDA: Temporal Unsupervised Domain Adaptation in Sequential Point Clouds. - Awet Haileslassie Gebrehiwot; David Hurych; Karel Zimmermann; Patrick Pérez; Tomás Svoboda (IROS, 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)

Regularizing Self-supervised 3D Scene Flows with Surface Awareness and Cyclic Consistency. - Patrik Vacek; David Hurych; Karel Zimmermann; Patrick Pérez; Tomás Svoboda (CoRR, 2023)

Teachers in Concordance for Pseudo-Labeling of 3D Sequential Data. - Awet Haileslassie Gebrehiwot; Patrik Vacek; David Hurych; Karel Zimmermann; Patrick Pérez; Tomás Svoboda (IEEE Robotics Autom. Lett., 2023)

Supervised Anomaly Detection for Complex Industrial Images. - Aimira Baitieva; David Hurych; Victor Besnier; Olivier Bernard (CVPR, 2024)

Halton Scheduler for Masked Generative Image Transformer. - Victor Besnier; Mickaël Chen; David Hurych; Eduardo Valle; Matthieu Cord (ICLR, 2025)

VaViM and VaVAM: Autonomous Driving through Video Generative Modeling. - Florent Bartoccioni; Elias Ramzi; Victor Besnier; Shashanka Venkataramanan; Tuan-Hung Vu; Yihong Xu; Loïck Chambon; Spyros Gidaris; Serkan Odabas; David Hurych; Renaud Marlet; Alexandre Boulch; et al. (CoRR, 2025)

Let It Flow: Simultaneous Optimization of 3D Flow and Object Clustering. - Patrik Vacek; David Hurych; Karel Zimmermann; Tomás Svoboda (IEEE Trans. Intell. Veh., 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)