David Hurych - RankMe

34 papers A* 4A 1Journal 18Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	LLM as a Meta-Judge: Synthetic Data for NLP Evaluation Metric Validation. CoRR Lukás Eigler, Jindrich Libovický, David Hurych
2025	J	`jnl`	BIGFix: Bidirectional Image Generation with Token Fixing. CoRR Victor Besnier, David Hurych, Andrei Bursuc, Eduardo Valle
2025	J	`jnl`	Halton Scheduler For Masked Generative Image Transformer. CoRR Victor Besnier, Mickaël Chen, David Hurych, Eduardo Valle, Matthieu Cord
2025	A*	`conf`	Halton Scheduler for Masked Generative Image Transformer. ICLR Victor Besnier, Mickaël Chen, David Hurych, Eduardo Valle, Matthieu Cord
2025	J	`jnl`	Let It Flow: Simultaneous Optimization of 3D Flow and Object Clustering. IEEE Trans. Intell. Veh. Patrik Vacek, David Hurych, Karel Zimmermann, Tomás Svoboda
2025	J	`jnl`	Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation. Int. J. Comput. Vis. Antonín Vobecký, David Hurych, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
2025	J	`jnl`	VaViM and VaVAM: Autonomous Driving through Video Generative Modeling. CoRR 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, Mickaël Chen, Éloi Zablocki, Andrei Bursuc, Eduardo Valle, Matthieu Cord
2024	J	`jnl`	Let It Flow: Simultaneous Optimization of 3D Flow and Object Clustering. CoRR Patrik Vacek, David Hurych, Tomás Svoboda, Karel Zimmermann
2024	J	`jnl`	POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images. CoRR Antonín Vobecký, Oriane Siméoni, David Hurych, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
2024	A*	`conf`	Supervised Anomaly Detection for Complex Industrial Images. CVPR Aimira Baitieva, David Hurych, Victor Besnier, Olivier Bernard
2024	J	`jnl`	Supervised Anomaly Detection for Complex Industrial Images. CoRR Aimira Baitieva, David Hurych, Victor Besnier, Olivier Bernard
2023	A*	`conf`	POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images. NeurIPS Antonín Vobecký, Oriane Siméoni, David Hurych, Spyridon Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
2023	J	`jnl`	Regularizing Self-supervised 3D Scene Flows with Surface Awareness and Cyclic Consistency. CoRR Patrik Vacek, David Hurych, Karel Zimmermann, Patrick Pérez, Tomás Svoboda
2023	A	`conf`	T-UDA: Temporal Unsupervised Domain Adaptation in Sequential Point Clouds. IROS Awet Haileslassie Gebrehiwot, David Hurych, Karel Zimmermann, Patrick Pérez, Tomás Svoboda
2023	J	`jnl`	T-UDA: Temporal Unsupervised Domain Adaptation in Sequential Point Clouds. CoRR Awet Haileslassie Gebrehiwot, David Hurych, Karel Zimmermann, Patrick Pérez, Tomás Svoboda
2023	J	`jnl`	Teachers in Concordance for Pseudo-Labeling of 3D Sequential Data. IEEE Robotics Autom. Lett. Awet Haileslassie Gebrehiwot, Patrik Vacek, David Hurych, Karel Zimmermann, Patrick Pérez, Tomás Svoboda
2022	—	`conf`	Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation. ECCV (38) Antonín Vobecký, David Hurych, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
2022	J	`jnl`	Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation. CoRR Antonín Vobecký, David Hurych, Oriane Siméoni, Spyros Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic
2022	J	`jnl`	Teachers in concordance for pseudo-labeling of 3D sequential data. CoRR Awet Haileslassie Gebrehiwot, Patrik Vacek, David Hurych, Karel Zimmermann, Patrick Pérez, Tomás Svoboda
2021	A*	`conf`	Artificial Dummies for Urban Dataset Augmentation. AAAI Antonín Vobecký, David Hurych, Michal Uricár, Patrick Pérez, Josef Sivic
2020	J	`jnl`	Artificial Dummies for Urban Dataset Augmentation. CoRR Antonín Vobecký, David Hurych, Michal Uricár, Patrick Pérez, Josef Sivic
2019	—	`conf`	Advanced Pedestrian Dataset Augmentation for Autonomous Driving. ICCV Workshops Antonín Vobecký, Michal Uricár, David Hurych, Radoslav Skoviera
2019	—	`conf`	Challenges in Designing Datasets and Validation for Autonomous Driving. VISIGRAPP (5: VISAPP) Michal Uricár, David Hurych, Pavel Krízek, Senthil Kumar Yogamani
2019	J	`jnl`	Challenges in Designing Datasets and Validation for Autonomous Driving. CoRR Michal Uricár, David Hurych, Pavel Krízek, Senthil Kumar Yogamani
2019	—	`conf`	Desoiling Dataset: Restoring Soiled Areas on Automotive Fisheye Cameras. ICCV Workshops Michal Uricár, Ján Ulicný, Ganesh Sistu, Hazem Rashed, Pavel Krízek, David Hurych, Antonín Vobecký, Senthil Kumar Yogamani
2019	J	`jnl`	Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving. CoRR Michal Uricár, Pavel Krízek, David Hurych, Ibrahim Sobh, Senthil Kumar Yogamani, Patrick Denny
2019	—	`conf`	Yes, we GAN: Applying adversarial techniques for autonomous driving. Autonomous Vehicles and Machines Michal Uricár, Pavel Krízek, David Hurych, Ibrahim Sobh, Senthil Kumar Yogamani, Patrick Denny
2014	J	`jnl`	Non-Rigid Object Detection with LocalInterleaved Sequential Alignment (LISA). IEEE Trans. Pattern Anal. Mach. Intell. Karel Zimmermann, David Hurych, Tomás Svoboda
2012	—	`conf`	Exploiting Features - Locally Interleaved Sequential Alignment for Object Detection. ACCV (1) Karel Zimmermann, David Hurych, Tomás Svoboda
2011	—	`conf`	Fast Learnable Object Tracking and Detection in High-resolution Omnidirectional Images. VISAPP David Hurych, Karel Zimmermann, Tomás Svoboda
2011	—	`conf`	Improving cascade of classifiers by sliding window alignment in between. ICARA Karel Zimmermann, David Hurych, Tomás Svoboda
2011	—	`conf`	Mutual On-Line Learning for Detection and Tracking in High-Resolution Images. VISIGRAPP (Selected Papers) David Hurych, Karel Zimmermann, Tomás Svoboda
2010	—	`conf`	Incremental Learning and Validation of Sequential Predictors in Video Browsing Application. VISAPP (1) David Hurych, Tomás Svoboda
2009	—	`conf`	Active Shape Model and linear predictors for face association refinement. ICCV Workshops David Hurych, Tomás Svoboda, Jana Trojanová, Yadhunandan U. S