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David Hurych
David Hurych
Research Scientist at Valeo.ai
E-mailová adresa ověřena na: valeo.com
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Citace
Citace
Rok
Yes, we gan: Applying adversarial techniques for autonomous driving
M Uricár, P Krizek, D Hurych, I Sobh, S Yogamani, P Denny
arXiv preprint arXiv:1902.03442, 2019
592019
Desoiling dataset: Restoring soiled areas on automotive fisheye cameras
M Uricár, J Ulicny, G Sistu, H Rashed, P Krizek, D Hurych, A Vobecky, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
362019
Challenges in designing datasets and validation for autonomous driving
M Uricár, D Hurych, P Krizek, S Yogamani
arXiv preprint arXiv:1901.09270, 2019
342019
Drive&segment: Unsupervised semantic segmentation of urban scenes via cross-modal distillation
A Vobecky, D Hurych, O Siméoni, S Gidaris, A Bursuc, P Pérez, J Sivic
European Conference on Computer Vision, 478-495, 2022
162022
Fast learnable object tracking and detection in high-resolution omnidirectional images
D Hurych, K Zimmermann, T Svoboda
International Conference on Computer Vision Theory and Applications 2, 521-530, 2011
152011
Artificial Dummies for Urban Dataset Augmentation
A Vobecký, D Hurych, M Uřičář, P Pérez, J Šivic
AAAI 2021, arXiv preprint arXiv:2012.08274, 2020
92020
Advanced Pedestrian Dataset Augmentation for Autonomous Driving
A Vobecký, M Uřičář, D Hurych, R Škoviera
ICCV Autonomous Driving Workshop, 2019
92019
Non-rigid object detection with localinterleaved sequential alignment (LISA)
K Zimmermann, D Hurych, T Svoboda
IEEE transactions on pattern analysis and machine intelligence 36 (4), 731-743, 2014
82014
Improving cascade of classifiers by sliding window alignment in between
K Zimmermann, D Hurych, T Svoboda
The 5th International Conference on Automation, Robotics and Applications …, 2011
72011
Incremental learning and validation of sequential predictors in video browsing application
D Hurych, T Svoboda
International Conference on Computer Vision Theory and Applications 2, 467-474, 2010
62010
Pop-3d: Open-vocabulary 3d occupancy prediction from images
A Vobecky, O Siméoni, D Hurych, S Gidaris, A Bursuc, P Pérez, J Sivic
Advances in Neural Information Processing Systems 36, 2024
32024
Exploiting features–locally interleaved sequential alignment for object detection
K Zimmermann, D Hurych, T Svoboda
Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013
32013
Active shape model and linear predictors for face association refinement
D Hurych, T Svoboda, J Trojanová, US Yadhunandan
2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV …, 2009
32009
Teachers in concordance for pseudo-labeling of 3D sequential data
AH Gebrehiwot, P Vacek, D Hurych, K Zimmermann, P Pérez, T Svoboda
IEEE Robotics and Automation Letters 8 (2), 536-543, 2022
22022
Detection of unseen patches trackable by linear predictors
D Hurych, K Zimmermann, T Svoboda
Computer Vision Winter Workshop, 107-114, 2011
22011
Regularizing Self-supervised 3D Scene Flows with Surface Awareness and Cyclic Consistency
P Vacek, D Hurych, K Zimmermann, P Perez, T Svoboda
arXiv preprint arXiv:2312.08879, 2023
2023
T-UDA: Temporal Unsupervised Domain Adaptation in Sequential Point Clouds
AH Gebrehiwot, D Hurych, K Zimmermann, P Pérez, T Svoboda
2023 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2023
2023
T-UDA: Temporal Unsupervised Domain Adaptation in Sequential Point Clouds
A Haileslassie Gebrehiwot, D Hurych, K Zimmermann, P Pérez, ...
arXiv e-prints, arXiv: 2309.08302, 2023
2023
Teachers in concordance for pseudo-labeling of 3D sequential data
A Haileslassie Gebrehiwot, P Vacek, D Hurych, K Zimmermann, P Perez, ...
arXiv e-prints, arXiv: 2207.06079, 2022
2022
Linear Predictors for Real-time Object Tracking and Detection
D Hurych
PQDT-Global, 2014
2014
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Články 1–20