Iaroslav Koshelev

According to our database, Iaroslav Koshelev authored at least 10 papers between 2020 and 2025.

Collaborative distances:

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

2025

One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation.

Daniil Selikhanovych, David Li, Aleksei Leonov, Nikita Gushchin, Sergei Kushneriuk, Alexander Filippov, Evgeny Burnaev, Iaroslav Koshelev, Alexander Korotin

CoRR, March, 2025

2024

A Modular Conditional Diffusion Framework for Image Reconstruction.

Magauiya Zhussip, Iaroslav Koshelev, Stamatios Lefkimmiatis

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Robust Two-View Geometry Estimation with Implicit Differentiation.

Vladislav A. Pyatov, Iaroslav Koshelev, Stamatios Lefkimmiatis

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Drone-Aided Detection of Weeds: Transfer Learning for Embedded Image Processing.

Iaroslav Koshelev, Maxim Savinov, Alexander Menshchikov, Andrey Somov

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Iterative Reweighted Least Squares Networks With Convergence Guarantees for Solving Inverse Imaging Problems.

Iaroslav Koshelev, Stamatios Lefkimmiatis

CoRR, 2023

Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization.

Stamatios Lefkimmiatis, Iaroslav Koshelev

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021

DeepRLS: A Recurrent Network Architecture with Least Squares Implicit Layers for Non-blind Image Deconvolution.

Iaroslav Koshelev, Daniil Selikhanovych, Stamatios Lefkimmiatis

CoRR, 2021

NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results.

Ren Yang, Radu Timofte, Jing Liu, Yi Xu, Xinjian Zhang, Minyi Zhao, Shuigeng Zhou, Kelvin C. K. Chan, Shangchen Zhou, Xiangyu Xu, Chen Change Loy, Xin Li, Fanglong Liu, He Zheng, Lielin Jiang, Qi Zhang, Dongliang He, Fu Li, Qingqing Dang, Yibin Huang, Matteo Maggioni, Zhongqian Fu, Shuai Xiao, Cheng Li, Thomas Tanay, Fenglong Song, Wentao Chao, Qiang Guo, Yan Liu, Jiang Li, Xiaochao Qu, Dewang Hou, Jiayu Yang, Lyn Jiang, Di You, Zhenyu Zhang, Chong Mou, Iaroslav Koshelev, Pavel Ostyakov, Andrey Somov, Jia Hao, Xueyi Zou, Shijie Zhao, Xiaopeng Sun, Yiting Liao, Yuanzhi Zhang, Qing Wang, Gen Zhan, Mengxi Guo, Junlin Li, Ming Lu, Zhan Ma, Pablo Navarrete Michelini, Hai Wang, Yiyun Chen, Jingyu Guo, Liliang Zhang, Wenming Yang, Sijung Kim, Syehoon Oh, Yucong Wang, Minjie Cai, Wei Hao, Kangdi Shi, Liangyan Li, Jun Chen, Wei Gao, Wang Liu, Xiaoyu Zhang, Linjie Zhou, Sixin Lin, Ru Wang

CoRR, 2021

Learned Gradient Descent Performance in Bicubic Super-Resolution Task.

Iaroslav Koshelev, Andrey Somov

Proceedings of the IECON 2021, 2021

2020

Deconvolution of Image Sequences with a Learning FFT-based Approach.

Iaroslav Koshelev, Andrey Somov, Stamatios Lefkimmiatis, Antonio Jose Rodríguez-Sánchez

Proceedings of the 29th IEEE International Symposium on Industrial Electronics, 2020