Dmytro Mishkin

42 papers A* 4A 2B 3Misc 1Journal 28Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Explaining Human Preferences via Metrics for Structured 3D Reconstruction. CoRR Jack Langerman, Denys Rozumnyi, Yuzhong Huang, Dmytro Mishkin
2024	—	`conf`	StereoGlue: Robust Estimation with Single-Point Solvers. ECCV (57) Daniel Barath, Dmytro Mishkin, Luca Cavalli, Paul-Edouard Sarlin, Petr Hruby, Marc Pollefeys
2023	J	`jnl`	A Large Scale Homography Benchmark. CoRR Daniel Barath, Dmytro Mishkin, Michal Polic, Wolfgang Förstner, Jiri Matas
2023	A*	`conf`	A Large-Scale Homography Benchmark. CVPR Daniel Barath, Dmytro Mishkin, Michal Polic, Wolfgang Förstner, Jiri Matas
2023	J	`jnl`	AffineGlue: Joint Matching and Robust Estimation. CoRR Daniel Barath, Dmytro Mishkin, Luca Cavalli, Paul-Edouard Sarlin, Petr Hruby, Marc Pollefeys
2023	B	`conf`	DoG Accuracy Via Equivariance: Get The Interpolation Right. ICIP Václav Vávra, Dmytro Mishkin, Jirí Matas
2022	J	`jnl`	HarrisZ Pattern Recognit. Lett. Fabio Bellavia, Dmytro Mishkin
2022	J	`jnl`	Matching with AffNet based rectifications. CoRR Václav Vávra, Dmytro Mishkin, Jirí Matas
2022	J	`jnl`	OpenGlue: Open Source Graph Neural Net Based Pipeline for Image Matching. CoRR Ostap Viniavskyi, Mariia Dobko, Dmytro Mishkin, Oles Dobosevych
2021	A*	`conf`	Efficient Initial Pose-Graph Generation for Global SfM. CVPR Daniel Barath, Dmytro Mishkin, Ivan Eichhardt, Ilia Shipachev, Jiri Matas
2021	J	`jnl`	HarrisZ$^+$: Harris Corner Selection for Next-Gen Image Matching Pipelines. CoRR Fabio Bellavia, Dmytro Mishkin
2021	J	`jnl`	Image Matching Across Wide Baselines: From Paper to Practice. Int. J. Comput. Vis. Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiri Matas, Pascal Fua, Kwang Moo Yi, Eduard Trulls
2021	J	`jnl`	Learning and Crafting for the Wide Multiple Baseline Stereo. CoRR Dmytro Mishkin
2020	J	`jnl`	A survey on Kornia: an Open Source Differentiable Computer Vision Library for PyTorch. CoRR Edgar Riba, Dmytro Mishkin, J. Shi, Daniel Ponsa, Francesc Moreno-Noguer, Gary R. Bradski
2020	J	`jnl`	ArXiving Before Submission Helps Everyone. CoRR Dmytro Mishkin, Amy Tabb, Jiri Matas
2020	J	`jnl`	Differentiable Data Augmentation with Kornia. CoRR Jian Shi, Edgar Riba, Dmytro Mishkin, Francesc Moreno, Anguelos Nicolaou
2020	J	`jnl`	Efficient Initial Pose-graph Generation for Global SfM. CoRR Daniel Barath, Dmytro Mishkin, Ivan Eichhardt, Ilia Shipachev, Jiri Matas
2020	J	`jnl`	Image Matching across Wide Baselines: From Paper to Practice. CoRR Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiri Matas, Pascal Fua, Kwang Moo Yi, Eduard Trulls
2020	A	`conf`	Kornia: an Open Source Differentiable Computer Vision Library for PyTorch. WACV Edgar Riba, Dmytro Mishkin, Daniel Ponsa, Ethan Rublee, Gary R. Bradski
2020	J	`jnl`	Saddle: Fast and repeatable features with good coverage. Image Vis. Comput. Javier Aldana-Iuit, Dmytro Mishkin, Ondrej Chum, Jiri Matas
2019	J	`jnl`	Benchmarking Classic and Learned Navigation in Complex 3D Environments. CoRR Dmytro Mishkin, Alexey Dosovitskiy, Vladlen Koltun
2019	J	`jnl`	Kornia: an Open Source Differentiable Computer Vision Library for PyTorch. CoRR Edgar Riba, Dmytro Mishkin, Daniel Ponsa, Ethan Rublee, Gary R. Bradski
2019	J	`jnl`	Leveraging Outdoor Webcams for Local Descriptor Learning. CoRR Milan Pultar, Dmytro Mishkin, Jiri Matas
2018	A*	`conf`	DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks. CVPR Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych, Dmytro Mishkin, Jiri Matas
2018	—	`conf`	Repeatability Is Not Enough: Learning Affine Regions via Discriminability. ECCV (9) Dmytro Mishkin, Filip Radenovic, Jiri Matas
2017	J	`jnl`	DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks. CoRR Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych, Dmytro Mishkin, Jiri Matas
2017	J	`jnl`	Learning Discriminative Affine Regions via Discriminability. CoRR Dmytro Mishkin, Filip Radenovic, Jiri Matas
2017	J	`jnl`	Systematic evaluation of convolution neural network advances on the Imagenet. Comput. Vis. Image Underst. Dmytro Mishkin, Nikolay Sergievskiy, Jiri Matas
2017	—	`conf`	Working hard to know your neighbor's margins: Local descriptor learning loss. NIPS Anastasya Mishchuk, Dmytro Mishkin, Filip Radenovic, Jiri Matas
2017	J	`jnl`	Working hard to know your neighbor's margins: Local descriptor learning loss. CoRR Anastasiya Mishchuk, Dmytro Mishkin, Filip Radenovic, Jiri Matas
2016	A*	`conf`	All you need is a good init. ICLR (Poster) Dmytro Mishkin, Jiri Matas
2016	J	`jnl`	In the Saddle: Chasing Fast and Repeatable Features. CoRR Javier Aldana-Iuit, Dmytro Mishkin, Ondrej Chum, Jiri Matas
2016	B	`conf`	In the Saddle: Chasing fast and repeatable features. ICPR Javier Aldana-Iuit, Dmytro Mishkin, Ondrej Chum, Jiri Matas
2016	J	`jnl`	Systematic evaluation of CNN advances on the ImageNet. CoRR Dmytro Mishkin, Nikolay Sergievskiy, Jiri Matas
2016	—	`conf`	Very Deep Residual Networks with MaxOut for Plant Identification in the Wild. CLEF (Working Notes) Milan Sulc, Dmytro Mishkin, Jiri Matas
2015	J	`jnl`	MODS: Fast and Robust Method for Two-View Matching. CoRR Dmytro Mishkin, Jiri Matas, Michal Perdoch
2015	J	`jnl`	MODS: Fast and robust method for two-view matching. Comput. Vis. Image Underst. Dmytro Mishkin, Jiri Matas, Michal Perdoch
2015	A	`conf`	WxBS: Wide Baseline Stereo Generalizations. BMVC Dmytro Mishkin, Jiri Matas, Michal Perdoch, Karel Lenc
2015	J	`jnl`	WxBS: Wide Baseline Stereo Generalizations. CoRR Dmytro Mishkin, Jiri Matas, Michal Perdoch, Karel Lenc
2014	B	`conf`	Matching of Images of Non-planar Objects with View Synthesis. SOFSEM Dmytro Mishkin, Jiri Matas
2013	J	`jnl`	Two-View Matching with View Synthesis Revisited. CoRR Dmytro Mishkin, Michal Perdoch, Jiri Matas
2013	Misc	`conf`	Two-view matching with view synthesis revisited. IVCNZ Dmytro Mishkin, Michal Perdoch, Jiri Matas