David Hurych

According to our database, David Hurych authored at least 24 papers between 2009 and 2026.

Collaborative distances:

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

2026

LLM as a Meta-Judge: Synthetic Data for NLP Evaluation Metric Validation.

Lukás Eigler, Jindrich Libovický, David Hurych

CoRR, March, 2026

2025

BIGFix: Bidirectional Image Generation with Token Fixing.

Victor Besnier, David Hurych, Andrei Bursuc, Eduardo Valle

CoRR, October, 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., June, 2025

Let It Flow: Simultaneous Optimization of 3D Flow and Object Clustering.

Patrik Vacek, David Hurych, Karel Zimmermann, Tomás Svoboda

IEEE Trans. Intell. Veh., March, 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, Mickaël Chen, Éloi Zablocki, Andrei Bursuc, Eduardo Valle, Matthieu Cord

CoRR, February, 2025

Halton Scheduler for Masked Generative Image Transformer.

Victor Besnier, Mickaël Chen, David Hurych, Eduardo Valle, Matthieu Cord

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Supervised Anomaly Detection for Complex Industrial Images.

Aimira Baitieva, David Hurych, Victor Besnier, Olivier Bernard

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Regularizing Self-supervised 3D Scene Flows with Surface Awareness and Cyclic Consistency.

Patrik Vacek, David Hurych, Karel Zimmermann, Patrick Pérez, Tomás Svoboda

CoRR, 2023

POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images.

Antonín Vobecký, Oriane Siméoni, David Hurych, Spyridon Gidaris, Andrei Bursuc, Patrick Pérez, Josef Sivic

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

T-UDA: Temporal Unsupervised Domain Adaptation in Sequential Point Clouds.

Awet Haileslassie Gebrehiwot, David Hurych, Karel Zimmermann, Patrick Pérez, Tomás Svoboda

IROS, 2023

2022

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

Proceedings of the Computer Vision - ECCV 2022, 2022

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

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

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

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

2014

Non-Rigid Object Detection with LocalInterleaved Sequential Alignment (LISA).

Karel Zimmermann, David Hurych, Tomás Svoboda

IEEE Trans. Pattern Anal. Mach. Intell., 2014

2012

Exploiting Features - Locally Interleaved Sequential Alignment for Object Detection.

Karel Zimmermann, David Hurych, Tomás Svoboda

Proceedings of the Computer Vision - ACCV 2012, 2012

2011

Mutual On-Line Learning for Detection and Tracking in High-Resolution Images.

David Hurych, Karel Zimmermann, Tomás Svoboda

Proceedings of the Computer Vision, Imaging and Computer Graphics. Theory and Applications, 2011

Fast Learnable Object Tracking and Detection in High-resolution Omnidirectional Images.

David Hurych, Karel Zimmermann, Tomás Svoboda

Proceedings of the VISAPP 2011, 2011

Improving cascade of classifiers by sliding window alignment in between.

Karel Zimmermann, David Hurych, Tomás Svoboda

Proceedings of the 5th International Conference on Automation, Robotics and Applications, 2011

2010

Incremental Learning and Validation of Sequential Predictors in Video Browsing Application.

David Hurych, Tomás Svoboda

Proceedings of the VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010, 2010

2009

Active Shape Model and linear predictors for face association refinement.

David Hurych, Tomás Svoboda, Jana Trojanová, Yadhunandan U. S

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009