Dmytro Mishkin
Titolo
Citata da
Citata da
Anno
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
5592018
All you need is a good init
D Mishkin, J Matas
International Conference on Learning Representations, 2016, 2016
4812016
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
2372017
Systematic Evaluation of Convolution Neural Network Advances on the ImageNet
D Mishkin, N Sergievskiy, J Matas
Computer Vision and Image Understanding, 2017
2182017
MODS: Fast and Robust Method for Two-View Matching
D Mishkin, J Matas, M Perdoch
Computer Vision and Image Understanding 141, 81-93, 2015
1102015
Repeatability Is Not Enough: Learning Affine Regions via Discriminability
D Mishkin, F Radenovic, J Matas
European Conference on Computer Vision, 2018
77*2018
WxBS: Wide Baseline Stereo Generalizations
D Mishkin, J Matas, M Perdoch, K Lenc
British Machine Vision Conference, 2015, 12.1-12.12, 2015
382015
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
312020
Benchmarking Classic and Learned Navigation in Complex 3D Environments
D Mishkin, A Dosovitskiy, V Koltun
arXiv preprint arXiv:1901.10915, 2019
282019
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, 1-31, 2020
262020
Mobile visual commerce system
J Romley, D Mishkin
US Patent App. 15/011,160, 2016
182016
Place Recognition with WxBS Retrieval
D Mishkin, M Perdoch, J Matas
CVPR 2015 Workshop on Visual Place Recognition in Changing Environments, 2015
182015
Two-view matching with view synthesis revisited
D Mishkin, M Perdoch, J Matas
Image and Vision Computing New Zealand (IVCNZ), 2013 28th International …, 2013
172013
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
122016
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
122016
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
10*2014
Leveraging Outdoor Webcams for Local Descriptor Learning
M Pultar, D Mishkin, J Matas
arXiv preprint arXiv:1901.09780, 2019
72019
Saddle: Fast and repeatable features with good coverage
J Aldana-Iuit, D Mishkin, O Chum, J Matas
Image and Vision Computing 97, 3807, 2020
22020
Efficient Initial Pose-graph Generation for Global SfM
D Barath, D Mishkin, I Eichhardt, I Shipachev, J Matas
arXiv preprint arXiv:2011.11986, 2020
2020
Differentiable Data Augmentation with Kornia
J Shi, E Riba, D Mishkin, F Moreno, A Nicolaou
arXiv preprint arXiv:2011.09832, 2020
2020
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20