Dmytro Mishkin

According to our database, Dmytro Mishkin authored at least 30 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

AffineGlue: Joint Matching and Robust Estimation.

Daniel Barath, Dmytro Mishkin, Luca Cavalli, Paul-Edouard Sarlin, Petr Hruby, Marc Pollefeys

CoRR, 2023

DoG Accuracy Via Equivariance: Get The Interpolation Right.

Václav Vávra, Dmytro Mishkin, Jirí Matas

Proceedings of the IEEE International Conference on Image Processing, 2023

A Large-Scale Homography Benchmark.

Daniel Barath, Dmytro Mishkin, Michal Polic, Wolfgang Förstner, Jiri Matas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

HarrisZ⁺: Harris corner selection for next-gen image matching pipelines.

Fabio Bellavia, Dmytro Mishkin

Pattern Recognit. Lett., 2022

Matching with AffNet based rectifications.

Václav Vávra, Dmytro Mishkin, Jirí Matas

CoRR, 2022

OpenGlue: Open Source Graph Neural Net Based Pipeline for Image Matching.

Ostap Viniavskyi, Mariia Dobko, Dmytro Mishkin, Oles Dobosevych

CoRR, 2022

2021

Image Matching Across Wide Baselines: From Paper to Practice.

Yuhe Jin, Dmytro Mishkin, Anastasiia Mishchuk, Jiri Matas, Pascal Fua, Kwang Moo Yi, Eduard Trulls

Int. J. Comput. Vis., 2021

Learning and Crafting for the Wide Multiple Baseline Stereo.

Dmytro Mishkin

CoRR, 2021

HarrisZ$^+$: Harris Corner Selection for Next-Gen Image Matching Pipelines.

Fabio Bellavia, Dmytro Mishkin

CoRR, 2021

Efficient Initial Pose-Graph Generation for Global SfM.

Daniel Barath, Dmytro Mishkin, Ivan Eichhardt, Ilia Shipachev, Jiri Matas

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Saddle: Fast and repeatable features with good coverage.

Javier Aldana-Iuit, Dmytro Mishkin, Ondrej Chum, Jiri Matas

Image Vis. Comput., 2020

Differentiable Data Augmentation with Kornia.

Jian Shi, Edgar Riba, Dmytro Mishkin, Francesc Moreno, Anguelos Nicolaou

CoRR, 2020

ArXiving Before Submission Helps Everyone.

Dmytro Mishkin, Amy Tabb, Jiri Matas

CoRR, 2020

A survey on Kornia: an Open Source Differentiable Computer Vision Library for PyTorch.

Edgar Riba, Dmytro Mishkin, J. Shi, Daniel Ponsa, Francesc Moreno-Noguer, Gary R. Bradski

CoRR, 2020

Kornia: an Open Source Differentiable Computer Vision Library for PyTorch.

Edgar Riba, Dmytro Mishkin, Daniel Ponsa, Ethan Rublee, Gary R. Bradski

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019

Benchmarking Classic and Learned Navigation in Complex 3D Environments.

Dmytro Mishkin, Alexey Dosovitskiy, Vladlen Koltun

CoRR, 2019

Leveraging Outdoor Webcams for Local Descriptor Learning.

Milan Pultar, Dmytro Mishkin, Jiri Matas

CoRR, 2019

2018

Repeatability Is Not Enough: Learning Affine Regions via Discriminability.

Dmytro Mishkin, Filip Radenovic, Jiri Matas

Proceedings of the Computer Vision - ECCV 2018, 2018

DeblurGAN: Blind Motion Deblurring Using Conditional Adversarial Networks.

Orest Kupyn, Volodymyr Budzan, Mykola Mykhailych, Dmytro Mishkin, Jiri Matas

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Systematic evaluation of convolution neural network advances on the Imagenet.

Dmytro Mishkin, Nikolay Sergievskiy, Jiri Matas

Comput. Vis. Image Underst., 2017

Learning Discriminative Affine Regions via Discriminability.

Dmytro Mishkin, Filip Radenovic, Jiri Matas

CoRR, 2017

Working hard to know your neighbor's margins: Local descriptor learning loss.

Anastasya Mishchuk, Dmytro Mishkin, Filip Radenovic, Jiri Matas

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Systematic evaluation of CNN advances on the ImageNet.

Dmytro Mishkin, Nikolay Sergievskiy, Jiri Matas

CoRR, 2016

All you need is a good init.

Dmytro Mishkin, Jiri Matas

Proceedings of the 4th International Conference on Learning Representations, 2016

In the Saddle: Chasing fast and repeatable features.

Javier Aldana-Iuit, Dmytro Mishkin, Ondrej Chum, Jiri Matas

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Very Deep Residual Networks with MaxOut for Plant Identification in the Wild.

Milan Sulc, Dmytro Mishkin, Jiri Matas

Proceedings of the Working Notes of CLEF 2016, 2016

2015

MODS: Fast and robust method for two-view matching.

Dmytro Mishkin, Jiri Matas, Michal Perdoch

Comput. Vis. Image Underst., 2015

WxBS: Wide Baseline Stereo Generalizations.

Dmytro Mishkin, Jiri Matas, Michal Perdoch, Karel Lenc

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Matching of Images of Non-planar Objects with View Synthesis.

Dmytro Mishkin, Jiri Matas

Proceedings of the SOFSEM 2014: Theory and Practice of Computer Science, 2014

2013

Two-view matching with view synthesis revisited.

Dmytro Mishkin, Michal Perdoch, Jiri Matas

Proceedings of the 28th International Conference on Image and Vision Computing New Zealand, 2013