Exact Fast Algorithm For Optimal Linear Separation Of 2D Distribution. - Egor I. Ershov; Vassili V. Postnikov; Arseniy P. Terekhin; Dmitry P. Nikolaev (ECMS, 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 (ICMV, 2015)

Problem-oriented stereo vision quality evaluation complex. - D. Sidorchuk; N. Gusamutdinova; Ivan Konovalenko; Egor I. Ershov (ICMV, 2015)

Fast 3D Hough Transform Computation. - Egor I. Ershov; Arseniy P. Terekhin; Simon M. Karpenko; Dmitry P. Nikolaev; Vassili V. Postnikov (ECMS, 2016)

Generation Algorithms Of Fast Generalized Hough Transform. - Egor I. Ershov; Evgeny A. Shvets; Timur M. Khanipov; Dmitry P. Nikolaev (ECMS, 2017)

Fast Hough Transform and approximation properties of dyadic patterns. - Egor I. Ershov; Simon M. Karpenko (CoRR, 2017)

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 (ICMV, 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)

1-point RANSAC for circular motion estimation in computed tomography (CT). - Mikhail O. Chekanov; Oleg S. Shipitko; Anton S. Grigoryev; Egor I. Ershov (ICMV, 2019)

Multiple light source dataset for colour research. - Anna Smagina; Egor I. Ershov; Anton S. Grigoryev (ICMV, 2019)

Color Cerberus. - A. V. Savchik; Egor I. Ershov; Simon M. Karpenko (ISPA, 2019)

1-point RANSAC for Circular Motion Estimation in Computed Tomography (CT). - Mikhail O. Chekanov; Oleg S. Shipitko; Egor I. Ershov (CoRR, 2019)

Simulation Of Underwater Color Images Using Banded Spectral Model. - Denis A. Shepelev; Valentina P. Bozhkova; Egor I. Ershov; Dmitry P. Nikolaev (ECMS, 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)

Problems of dataset creation for light source estimation. - Egor I. Ershov; A. V. Belokopytov; A. V. Savchik (CoRR, 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 V. Nikonorov; Yanlin Qian; et al. (CoRR, 2020)

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)

Analysis of Properties of Dyadic Patterns for the Fast Hough Transform. - Simon M. Karpenko; Egor I. Ershov (Probl. Inf. Transm., 2021)

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; et al. (CVPR Workshops, 2022)

Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Radu Timofte; Shuai Liu 009; Chaoyu Feng; Furui Bai; Xiaotao Wang; Lei Lei; Ziyao Yi; Yan Xiang; Zibin Liu; Shaoqing Li; Keming Shi; et al. (ECCV Workshops (3), 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)

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; et al. (CVPR Workshops, 2023)

Physically-plausible illumination distribution estimation. - Egor I. Ershov; Vasily Tesalin; Ivan Ermakov; Michael S. Brown (ICCV, 2023)

Spectral filters design for a better hyperspectral reconstruction. - Daniil Reutskii; Egor I. Ershov (ICMV, 2023)

NTIRE 2024 Challenge on Night Photography Rendering. - Egor I. Ershov; Artyom Panshin; Oleg Karasev; Sergey Korchagin; Shepelev Lev; Alexandr Startsev; Daniil Vladimirov; Ekaterina Zaychenkova; Nikola Banic; Dmitrii Iarchuk; Maria Efimova; Radu Timofte; et al. (CVPR Workshops, 2024)

MST-: A Modification of MST++ for Narrow Domain Hyperspectral Reconstruction. - Daniil Vladimirov; Daniil Reutsky; Pavel Pischev; Vsevolod Plokhotnyuk; Egor I. Ershov (ICASSP Workshops, 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 001 (VISIGRAPP (4): VISAPP, 2024)

Learning End-to-End Deep Learning Based Image Signal Processing Pipeline Using a Few-Shot Domain Adaptation. - Georgy Perevozchikov; Egor I. Ershov (VISIGRAPP (3): VISAPP, 2024)

NTIRE 2024 Challenge on Night Photography Rendering. - Egor I. Ershov; Artyom Panshin; Oleg Karasev; Sergey Korchagin; Shepelev Lev; Alexandr Startsev; Daniil Vladimirov; Ekaterina Zaychenkova; Nikola Banic; Dmitrii Iarchuk; Maria Efimova; Radu Timofte; et al. (CoRR, 2024)

Expert-aware uncertainty estimation for quality control of neural-based blood typing. - Ekaterina Zaychenkova; Dmitrii Iarchuk; Sergey Korchagin; Alexey Zaitsev; Egor I. Ershov (CoRR, 2024)

Image-based second opinion for blood typing. - Sergey Korchagin; Ekaterina Zaychenkova; Egor I. Ershov; Pavel Pishchev; Yuri Yu. Vengerov (Health Inf. Sci. Syst., 2024)

NTIRE 2025 Challenge on Night Photography Rendering. - Egor I. Ershov; Sergey Korchagin; Aleksei Khalin; Artyom Panshin; Arseniy P. Terekhin; Ekaterina Zaychenkova; Georgiy Lobarev; Vsevolod Plokhotnyuk; Denis Abramov; Elisey Zhdanov; Sofia Dorogova; Yasin Mamedov; et al. (CVPR Workshops, 2025)

Improving Uncertainty Estimation with Confidence-Aware Training Data. - Sergey Korchagin; Ekaterina Zaychenkova; Aleksei Khalin; Aleksandr Yugay; Alexey Zaytsev 002; Egor I. Ershov (WACV, 2025)

Color Matching Using Hypernetwork-Based Kolmogorov-Arnold Networks. - Artem V. Nikonorov; Georgy Perevozchikov; Andrei Korepanov; Nancy Mehta; Mahmoud Afifi; Egor I. Ershov; Radu Timofte (CoRR, 2025)

Modulate and Reconstruct: Learning Hyperspectral Imaging from Misaligned Smartphone Views. - Daniil Reutsky; Daniil Vladimirov; Yasin Mamedov; Georgy Perevozchikov; Nancy Mehta; Egor I. Ershov; Radu Timofte (CoRR, 2025)