Iaroslav Koshelev

15 papers A* 2A 1C 1Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Entering the Era of Discrete Diffusion Models: A Benchmark for Schrödinger Bridges and Entropic Optimal Transport.
CoRR
Xavier Aramayo Carrasco, Grigoriy Ksenofontov, Aleksei Leonov, Iaroslav Koshelev, Alexander Korotin
2025 J jnl
One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation.
CoRR
Daniil Selikhanovych, David Li, Aleksei Leonov, Nikita Gushchin, Sergei Kushneriuk, Alexander Filippov, Evgeny Burnaev, Iaroslav Koshelev, Alexander Korotin
2025 J jnl
Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs).
CoRR
Nikita Kornilov, David Li, Tikhon Mavrin, Aleksei Leonov, Nikita Gushchin, Evgeny Burnaev, Iaroslav Koshelev, Alexander Korotin
2024 A* conf
A Modular Conditional Diffusion Framework for Image Reconstruction.
NeurIPS
Magauiya Zhussip, Iaroslav Koshelev, Stamatios Lefkimmiatis
2024 J jnl
A Modular Conditional Diffusion Framework for Image Reconstruction.
CoRR
Magauiya Zhussip, Iaroslav Koshelev, Stamatios Lefkimmiatis
2024 A conf
Robust Two-View Geometry Estimation with Implicit Differentiation.
IROS
Vladislav A. Pyatov, Iaroslav Koshelev, Stamatios Lefkimmiatis
2024 J jnl
Robust Two-View Geometry Estimation with Implicit Differentiation.
CoRR
Vladislav A. Pyatov, Iaroslav Koshelev, Stamatios Lefkimmiatis
2023 J jnl
Drone-Aided Detection of Weeds: Transfer Learning for Embedded Image Processing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Iaroslav Koshelev, Maxim Savinov, Alexander Menshchikov, Andrey Somov
2023 J jnl
Iterative Reweighted Least Squares Networks With Convergence Guarantees for Solving Inverse Imaging Problems.
CoRR
Iaroslav Koshelev, Stamatios Lefkimmiatis
2023 A* conf
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization.
ICLR
Stamatios Lefkimmiatis, Iaroslav Koshelev
2023 J jnl
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization.
CoRR
Stamatios Lefkimmiatis, Iaroslav Koshelev
2021 J jnl
DeepRLS: A Recurrent Network Architecture with Least Squares Implicit Layers for Non-blind Image Deconvolution.
CoRR
Iaroslav Koshelev, Daniil Selikhanovych, Stamatios Lefkimmiatis
2021 C conf
Learned Gradient Descent Performance in Bicubic Super-Resolution Task.
IECON
Iaroslav Koshelev, Andrey Somov
2021 J jnl
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results.
CoRR
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
2020 — conf
Deconvolution of Image Sequences with a Learning FFT-based Approach.
ISIE
Iaroslav Koshelev, Andrey Somov, Stamatios Lefkimmiatis, Antonio Jose Rodríguez-Sánchez