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ORCIDDmytro Mishkin
Person information
- affiliation: Czech Technical University in Prague, Czech Republic
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2020 – today
- 2024
[c14]Daniel Barath
, Dmytro Mishkin, Luca Cavalli, Paul-Edouard Sarlin, Petr Hruby, Marc Pollefeys:
StereoGlue: Robust Estimation with Single-Point Solvers. ECCV (57) 2024: 421-441- 2023
- [c13]Daniel Barath, Dmytro Mishkin, Michal Polic, Wolfgang Förstner, Jiri Matas:
A Large-Scale Homography Benchmark. CVPR 2023: 21360-21370 - [c12]Václav Vávra, Dmytro Mishkin, Jirí Matas:
DoG Accuracy Via Equivariance: Get The Interpolation Right. ICIP 2023: 136-140 - [i22]Daniel Barath, Dmytro Mishkin, Michal Polic, Wolfgang Förstner, Jiri Matas:
A Large Scale Homography Benchmark. CoRR abs/2302.09997 (2023) - [i21]Daniel Barath, Dmytro Mishkin, Luca Cavalli, Paul-Edouard Sarlin, Petr Hruby, Marc Pollefeys:
AffineGlue: Joint Matching and Robust Estimation. CoRR abs/2307.15381 (2023) - 2022
- [j5]Fabio Bellavia, Dmytro Mishkin:
HarrisZ+: Harris corner selection for next-gen image matching pipelines. Pattern Recognit. Lett. 158: 141-147 (2022) - [i20]Ostap Viniavskyi, Mariia Dobko, Dmytro Mishkin, Oles Dobosevych:
OpenGlue: Open Source Graph Neural Net Based Pipeline for Image Matching. CoRR abs/2204.08870 (2022) - [i19]Václav Vávra, Dmytro Mishkin, Jirí Matas:
Matching with AffNet based rectifications. CoRR abs/2207.14660 (2022) - 2021
- [j4]Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiri Matas, Pascal Fua, Kwang Moo Yi, Eduard Trulls:
Image Matching Across Wide Baselines: From Paper to Practice. Int. J. Comput. Vis. 129(2): 517-547 (2021) - [c11]Daniel Barath, Dmytro Mishkin, Ivan Eichhardt, Ilia Shipachev, Jiri Matas:
Efficient Initial Pose-Graph Generation for Global SfM. CVPR 2021: 14546-14555 - [i18]Fabio Bellavia, Dmytro Mishkin:
HarrisZ$^+$: Harris Corner Selection for Next-Gen Image Matching Pipelines. CoRR abs/2109.12925 (2021) - [i17]Dmytro Mishkin:
Learning and Crafting for the Wide Multiple Baseline Stereo. CoRR abs/2112.12027 (2021) - 2020
- [j3]Javier Aldana-Iuit, Dmytro Mishkin, Ondrej Chum, Jiri Matas:
Saddle: Fast and repeatable features with good coverage. Image Vis. Comput. 97: 3807 (2020) - [c10]Edgar Riba, Dmytro Mishkin, Daniel Ponsa, Ethan Rublee, Gary R. Bradski:
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch. WACV 2020: 3663-3672 - [i16]Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiri Matas, Pascal Fua, Kwang Moo Yi, Eduard Trulls:
Image Matching across Wide Baselines: From Paper to Practice. CoRR abs/2003.01587 (2020) - [i15]Edgar Riba, Dmytro Mishkin, J. Shi, Daniel Ponsa, Francesc Moreno-Noguer, Gary R. Bradski:
A survey on Kornia: an Open Source Differentiable Computer Vision Library for PyTorch. CoRR abs/2009.10521 (2020) - [i14]Dmytro Mishkin, Amy Tabb, Jiri Matas:
ArXiving Before Submission Helps Everyone. CoRR abs/2010.05365 (2020) - [i13]Jian Shi, Edgar Riba, Dmytro Mishkin, Francesc Moreno, Anguelos Nicolaou:
Differentiable Data Augmentation with Kornia. CoRR abs/2011.09832 (2020) - [i12]Daniel Barath, Dmytro Mishkin, Ivan Eichhardt, Ilia Shipachev, Jiri Matas:
Efficient Initial Pose-graph Generation for Global SfM. CoRR abs/2011.11986 (2020)
2010 – 2019
- 2019
- [i11]Milan Pultar, Dmytro Mishkin, Jiri Matas:
Leveraging Outdoor Webcams for Local Descriptor Learning. CoRR abs/1901.09780 (2019) - [i10]Dmytro Mishkin, Alexey Dosovitskiy, Vladlen Koltun:
Benchmarking Classic and Learned Navigation in Complex 3D Environments. CoRR abs/1901.10915 (2019) - [i9]Edgar Riba, Dmytro Mishkin, Daniel Ponsa, Ethan Rublee, Gary R. Bradski:
Kornia: an Open Source Differentiable Computer Vision Library for PyTorch. CoRR abs/1910.02190 (2019) - 2018
- [c9]Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych, Dmytro Mishkin, Jiri Matas:
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks. CVPR 2018: 8183-8192 - [c8]Dmytro Mishkin, Filip Radenovic, Jiri Matas:
Repeatability Is Not Enough: Learning Affine Regions via Discriminability. ECCV (9) 2018: 287-304 - 2017
- [j2]Dmytro Mishkin, Nikolay Sergievskiy, Jiri Matas:
Systematic evaluation of convolution neural network advances on the Imagenet. Comput. Vis. Image Underst. 161: 11-19 (2017) - [c7]Anastasya Mishchuk, Dmytro Mishkin, Filip Radenovic, Jiri Matas:
Working hard to know your neighbor's margins: Local descriptor learning loss. NIPS 2017: 4826-4837 - [i8]Anastasiya Mishchuk, Dmytro Mishkin, Filip Radenovic, Jiri Matas:
Working hard to know your neighbor's margins: Local descriptor learning loss. CoRR abs/1705.10872 (2017) - [i7]Dmytro Mishkin, Filip Radenovic, Jiri Matas:
Learning Discriminative Affine Regions via Discriminability. CoRR abs/1711.06704 (2017) - [i6]Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych, Dmytro Mishkin, Jiri Matas:
DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks. CoRR abs/1711.07064 (2017) - 2016
- [c6]Milan Sulc, Dmytro Mishkin, Jiri Matas:
Very Deep Residual Networks with MaxOut for Plant Identification in the Wild. CLEF (Working Notes) 2016: 579-586 - [c5]Javier Aldana-Iuit, Dmytro Mishkin, Ondrej Chum, Jiri Matas:
In the Saddle: Chasing fast and repeatable features. ICPR 2016: 675-680 - [c4]Dmytro Mishkin, Jiri Matas:
All you need is a good init. ICLR (Poster) 2016 - [i5]Dmytro Mishkin, Nikolay Sergievskiy, Jiri Matas:
Systematic evaluation of CNN advances on the ImageNet. CoRR abs/1606.02228 (2016) - [i4]Javier Aldana-Iuit, Dmytro Mishkin, Ondrej Chum, Jiri Matas:
In the Saddle: Chasing Fast and Repeatable Features. CoRR abs/1608.06800 (2016) - 2015
- [j1]Dmytro Mishkin, Jiri Matas, Michal Perdoch:
MODS: Fast and robust method for two-view matching. Comput. Vis. Image Underst. 141: 81-93 (2015) - [c3]Dmytro Mishkin, Jiri Matas, Michal Perdoch, Karel Lenc:
WxBS: Wide Baseline Stereo Generalizations. BMVC 2015: 12.1-12.12 - [i3]Dmytro Mishkin, Jiri Matas, Michal Perdoch:
MODS: Fast and Robust Method for Two-View Matching. CoRR abs/1503.02619 (2015) - [i2]Dmytro Mishkin, Jiri Matas, Michal Perdoch, Karel Lenc:
WxBS: Wide Baseline Stereo Generalizations. CoRR abs/1504.06603 (2015) - 2014
- [c2]Dmytro Mishkin, Jiri Matas:
Matching of Images of Non-planar Objects with View Synthesis. SOFSEM 2014: 30-39 - 2013
- [c1]Dmytro Mishkin, Michal Perdoch, Jiri Matas:
Two-view matching with view synthesis revisited. IVCNZ 2013: 436-441 - [i1]Dmytro Mishkin, Michal Perdoch, Jiri Matas:
Two-View Matching with View Synthesis Revisited. CoRR abs/1306.3855 (2013)
Coauthor Index
aka: Jirí Matas
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last updated on 2024-10-23 20:33 CEST by the dblp team
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