Dmytro Mishkin
Zitiert von
Zitiert von
Deblurgan: Blind motion deblurring using conditional adversarial networks
O Kupyn, V Budzan, M Mykhailych, D Mishkin, J Matas
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Working hard to know your neighbor's margins: Local descriptor learning loss
A Mishchuk, D Mishkin, F Radenovic, J Matas
Advances in Neural Information Processing Systems, 4826-4837, 2017
All you need is a good init
D Mishkin, J Matas
International Conference on Learning Representations, 2016, 2016
Systematic Evaluation of Convolution Neural Network Advances on the ImageNet
D Mishkin, N Sergievskiy, J Matas
Computer Vision and Image Understanding, 2017
Kornia: an open source differentiable computer vision library for pytorch
E Riba, D Mishkin, D Ponsa, E Rublee, G Bradski
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020
Image matching across wide baselines: From paper to practice
Y Jin, D Mishkin, A Mishchuk, J Matas, P Fua, KM Yi, E Trulls
International Journal of Computer Vision 129 (2), 517-547, 2021
Repeatability Is Not Enough: Learning Affine Regions via Discriminability
D Mishkin, F Radenovic, J Matas
European Conference on Computer Vision, 2018
MODS: Fast and Robust Method for Two-View Matching
D Mishkin, J Matas, M Perdoch
Computer Vision and Image Understanding 141, 81-93, 2015
Benchmarking Classic and Learned Navigation in Complex 3D Environments
D Mishkin, A Dosovitskiy, V Koltun
arXiv preprint arXiv:1901.10915, 2019
WxBS: Wide Baseline Stereo Generalizations
D Mishkin, J Matas, M Perdoch, K Lenc
British Machine Vision Conference, 2015, 12.1-12.12, 2015
Mobile visual commerce system
J Romley, D Mishkin
US Patent App. 15/011,160, 2016
Place Recognition with WxBS Retrieval
D Mishkin, M Perdoch, J Matas
CVPR 2015 Workshop on Visual Place Recognition in Changing Environments, 2015
In the Saddle: Chasing fast and repeatable features
J Aldana-Iuit, D Mishkin, O Chum, J Matas
Pattern Recognition (ICPR), 2016 23rd International Conference on, 675-680, 2016
Efficient Initial Pose-graph Generation for Global SfM
D Barath, D Mishkin, I Eichhardt, I Shipachev, J Matas
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Two-view matching with view synthesis revisited
D Mishkin, M Perdoch, J Matas
Image and Vision Computing New Zealand (IVCNZ), 2013 28th International …, 2013
HarrisZ+: Harris corner selection for next-gen image matching pipelines
F Bellavia, D Mishkin
Pattern Recognition Letters 158, 141-147, 2022
Very Deep Residual Networks with MaxOut for Plant Identification in the Wild
M Šulc, D Mishkin, J Matas
Working Notes of CLEF 2016 - Conference and Labs of the Evaluation forum 1609, 2016
RANSAC in 2020 tutorial
D Barath, TJ Chin, O Chum, D Mishkin, R Ranftl, J Matas
CVPR 6, 7, 2020
Leveraging Outdoor Webcams for Local Descriptor Learning
M Pultar, D Mishkin, J Matas
arXiv preprint arXiv:1901.09780, 2019
A Few Things One Should Know About Feature Extraction, Description and Matching
K Lenc, J Matas, D Mishkin
Computer Vision Winter Workshop 2014, 67--74, 2014
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