Egor I. Ershov

According to our database, Egor I. Ershov authored at least 25 papers between 2015 and 2024.

Collaborative distances:

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

2024

Learning End-to-End Deep Learning Based Image Signal Processing Pipeline Using a Few-Shot Domain Adaptation.

Georgy Perevozchikov, Egor I. Ershov

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Reliability and Stability of Mean Opinion Score for Image Aesthetic Quality Assessment Obtained Through Crowdsourcing.

Egor I. Ershov, Artyom Panshin, Ivan Ermakov, Nikola Banic, Alexey Savchik, Simone Bianco

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

Physically-plausible illumination distribution estimation.

Egor I. Ershov, Vasily Tesalin, Ivan Ermakov, Michael S. Brown

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NTIRE 2023 Challenge on Night Photography Rendering.

Alina Shutova, Egor I. Ershov, Georgy Perevozchikov, Ivan Ermakov, Nikola Banic, Radu Timofte, Richard Collins, Maria Efimova, Arseniy P. Terekhin, Simone Zini, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Chunxia Lei, Tingniao Wang, Song Wang, Shuai Liu, Chaoyu Feng, Guangqi Shao, Hao Wang, Xiaotao Wang, Lei Lei, Lu Xu, Chao Zhang, Yasi Wang, Jin Guo, Yangfan Sun, Tianli Liu, Hao Dejun, Furkan Kinli, Baris Özcan, Furkan Kiraç, Hyerin Chung, Nakyung Lee, Sungkeun Kwak, Marcos V. Conde, Tim Seizinger, Florin-Alexandru Vasluianu, Omar Elezabi, Chia-Hsuan Hsieh, Wei-Ting Chen, Hao-Hsiang Yang, Zhi-Kai Huang, Hua-En Chang, I-Hsiang Chen, Yi-Chung Chen, Yuan-Chun Chiang

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

2022

Experimental Study of Radial Distortion Compensation for Camera Submerged Underwater Using Open SaltWaterDistortion Data Set.

Daria Senshina, Dmitry Polevoy, Egor I. Ershov, Irina A. Kunina

J. Imaging, 2022

Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report.

Andrey Ignatov, Radu Timofte, Shuai Liu, Chaoyu Feng, Furui Bai, Xiaotao Wang, Lei Lei, Ziyao Yi, Yan Xiang, Zibin Liu, Shaoqing Li, Keming Shi, Dehui Kong, Ke Xu, Minsu Kwon, Yaqi Wu, Jiesi Zheng, Zhihao Fan, Xun Wu, Feng Zhang, Albert No, Minhyeok Cho, Zewen Chen, Xiaze Zhang, Ran Li, Juan Wang, Zhiming Wang, Marcos V. Conde, Ui-Jin Choi, Georgy Perevozchikov, Egor I. Ershov, Zheng Hui, Mengchuan Dong, Xin Lou, Wei Zhou, Cong Pang, Haina Qin, Mingxuan Cai

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

NTIRE 2022 Challenge on Night Photography Rendering.

Egor I. Ershov, Alexey Savchik, Denis A. Shepelev, Nikola Banic, Michael S. Brown, Radu Timofte, Karlo Koscevic, Michael Freeman, Vasily Tesalin, Dmitry Bocharov, Illya Semenkov, Marko Subasic, Sven Loncaric, Arseniy P. Terekhin, Shuai Liu, Chaoyu Feng, Hao Wang, Ran Zhu, Yongqiang Li, Lei Lei, Zhihao Li, Si Yi, Linghao Han, Ruiqi Wu, Xin Jin, Chunle Guo, Furkan Kinli, Sami Mentes, Baris Özcan, Furkan Kiraç, Simone Zini, Claudio Rota, Marco Buzzelli, Simone Bianco, Raimondo Schettini, Wei Li, Yipeng Ma, Tao Wang, Ruikang Xu, Fenglong Song, Wei-Ting Chen, Hao-Hsiang Yang, Zhi-Kai Huang, Hua-En Chang, Sy-Yen Kuo, Zhexin Liang, Shangchen Zhou, Ruicheng Feng, Chongyi Li, Xiangyu Chen, Binbin Song, Shile Zhang, Lin Liu, Zhendong Wang, Dohoon Ryu, Hyokyoung Bae, Taesung Kwon, Chaitra Desai, Nikhil Akalwadi, Amogh Joshi, Chinmayee Mandi, Sampada Malagi, Akash Uppin, Sai Sudheer Reddy, Ramesh Ashok Tabib, Ujwala Patil, Uma Mudenagudi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Analysis of Properties of Dyadic Patterns for the Fast Hough Transform.

Simon M. Karpenko, Egor I. Ershov

Probl. Inf. Transm., 2021

On the properties of some low-parameter models for color reproduction in terms of spectrum transformations and coverage of a color triangle.

Alexey Kroshnin, Viacheslav Vasilev, Egor I. Ershov, Denis A. Shepelev, Dmitry P. Nikolaev, Mikhail Tchobanou

CoRR, 2021

2020

Illumination Estimation Challenge: experience of past two years.

Egor I. Ershov, Alexey Savchik, Illya Semenkov, Nikola Banic, Karlo Koscevic, Marko Subasic, Alexander Belokopytov, Zhihao Li, Arseniy P. Terekhin, Daria Senshina, Artem Nikonorov, Yanlin Qian, Marco Buzzelli, Riccardo Riva, Simone Bianco, Raimondo Schettini, Sven Loncaric, Dmitry P. Nikolaev

CoRR, 2020

Problems of dataset creation for light source estimation.

Egor I. Ershov, A. V. Belokopytov, A. V. Savchik

CoRR, 2020

The Cube++ Illumination Estimation Dataset.

Egor I. Ershov, Alexey Savchik, Illya Semenkov, Nikola Banic, Alexander Belokopytov, Daria Senshina, Karlo Koscevic, Marko Subasic, Sven Loncaric

IEEE Access, 2020

Simulation Of Underwater Color Images Using Banded Spectral Model.

Denis A. Shepelev, Valentina P. Bozhkova, Egor I. Ershov, Dmitry P. Nikolaev

Proceedings of the 34th International ECMS Conference on Modelling and Simulation, 2020

2019

1-point RANSAC for Circular Motion Estimation in Computed Tomography (CT).

Mikhail O. Chekanov, Oleg S. Shipitko, Egor I. Ershov

CoRR, 2019

Color Cerberus.

A. V. Savchik, Egor I. Ershov, Simon M. Karpenko

Proceedings of the 11th International Symposium on Image and Signal Processing and Analysis, 2019

Multiple light source dataset for colour research.

Anna Smagina, Egor I. Ershov, Anton S. Grigoryev

Proceedings of the Twelfth International Conference on Machine Vision, 2019

1-point RANSAC for circular motion estimation in computed tomography (CT).

Mikhail O. Chekanov, Oleg S. Shipitko, Anton S. Grigoryev, Egor I. Ershov

Proceedings of the Twelfth International Conference on Machine Vision, 2019

2018

Obstacle Detection Quality as a Problem-Oriented Approach to Stereo Vision Algorithms Estimation in Road Situation Analysis.

A. A. Smagina, Denis A. Shepelev, Egor I. Ershov, Anton S. Grigoryev

CoRR, 2018

On the use of FHT, its modification for practical applications and the structure of Hough image.

Mikhail A. Aliev, Egor I. Ershov, Dmitry P. Nikolaev

Proceedings of the Eleventh International Conference on Machine Vision, 2018

2017

Fast Hough Transform and approximation properties of dyadic patterns.

Egor I. Ershov, Simon M. Karpenko

CoRR, 2017

Generation Algorithms Of Fast Generalized Hough Transform.

Egor I. Ershov, Evgeny A. Shvets, Timur M. Khanipov, Dmitry P. Nikolaev

Proceedings of the European Conference on Modelling and Simulation, 2017

2016

Fast 3D Hough Transform Computation.

Egor I. Ershov, Arseniy P. Terekhin, Simon M. Karpenko, Dmitry P. Nikolaev, Vassili V. Postnikov

Proceedings of the 30th European Conference on Modelling and Simulation, 2016

2015

Problem-oriented stereo vision quality evaluation complex.

D. Sidorchuk, N. Gusamutdinova, Ivan Konovalenko, Egor I. Ershov

Proceedings of the Eighth International Conference on Machine Vision, 2015

Fast Hough transform analysis: pattern deviation from line segment.

Egor I. Ershov, Arseniy P. Terekhin, Dmitrii P. Nikolaev, Vassili V. Postnikov, Simon M. Karpenko

Proceedings of the Eighth International Conference on Machine Vision, 2015

Exact Fast Algorithm For Optimal Linear Separation Of 2D Distribution.

Egor I. Ershov, Vassili V. Postnikov, Arseniy P. Terekhin, Dmitry P. Nikolaev

Proceedings of the 29th European Conference on Modelling and Simulation, 2015