David Hurych
David Hurych
Research Scientist at
Verified email at
Cited by
Cited by
Yes, we gan: Applying adversarial techniques for autonomous driving
M Uřičář, P Křížek, D Hurych, I Sobh, S Yogamani, P Denny
Electronic Imaging 2019 (15), 48-1-48-17, 2019
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
Challenges in designing datasets and validation for autonomous driving
M Uricár, D Hurych, P Krizek, S Yogamani
arXiv preprint arXiv:1901.09270, 2019
Fast Learnable Object Tracking and Detection in High-resolution Omnidirectional Images.
D Hurych, K Zimmermann, T Svoboda
VISAPP, 521-530, 2011
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
Advanced Pedestrian Dataset Augmentation for Autonomous Driving
A Vobecký, M Uřičář, D Hurych, R Škoviera
ICCV Autonomous Driving Workshop, 2019
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
Incremental Learning and Validation of Sequential Predictors in Video Browsing Application.
D Hurych, T Svoboda
VISAPP (1), 467-474, 2010
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
arXiv preprint arXiv:2203.11160, 2022
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
Artificial Dummies for Urban Dataset Augmentation
A Vobecký, D Hurych, M Uřičář, P Pérez, J Šivic
AAAI 2021, arXiv preprint arXiv:2012.08274, 2020
Exploiting features–locally interleaved sequential alignment for object detection
K Zimmermann, D Hurych, T Svoboda
Asian Conference on Computer Vision, 446-459, 2012
Detection of unseen patches trackable by linear predictors
D Hurych, K Zimmermann, T Svoboda
Computer Vision Winter Workshop, 107-114, 2011
Teachers in concordance for pseudo-labeling of 3D sequential data
AH Gebrehiwot, P Vacek, D Hurych, K Zimmermann, P Perez, T Svoboda
arXiv preprint arXiv:2207.06079, 2022
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
Linear Predictors for Real-time Object Tracking and Detection
D Hurych
PQDT-Global, 2014
AE3B33KUI—(feature-based) classification seminar
T Svoboda, T Werner, D Hurych
Mutual On-Line Learning for Detection and Tracking in High-Resolution Images
D Hurych, K Zimmermann, T Svoboda
International Conference on Computer Vision, Imaging and Computer Graphics …, 2011
Incremental Learning of Linear Predictors for Fast Object Tracking
D Hurych
9th IEEE international workshop on visual surveillance 2009
G Duan, C Huang, H Ai, S Lao, X Zhang, W Hu, W Li, W Qu, S Maybank, ...
The system can't perform the operation now. Try again later.
Articles 1–20