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Iaroslav Koshelev
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2020 – today
- 2023
- [j1]Iaroslav Koshelev, Maxim Savinov, Alexander Menshchikov, Andrey Somov:
Drone-Aided Detection of Weeds: Transfer Learning for Embedded Image Processing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 102-111 (2023) - [c3]Stamatios Lefkimmiatis, Iaroslav Koshelev:
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization. ICLR 2023 - [i4]Stamatios Lefkimmiatis, Iaroslav Koshelev:
Learning Sparse and Low-Rank Priors for Image Recovery via Iterative Reweighted Least Squares Minimization. CoRR abs/2304.10536 (2023) - [i3]Iaroslav Koshelev, Stamatios Lefkimmiatis:
Iterative Reweighted Least Squares Networks With Convergence Guarantees for Solving Inverse Imaging Problems. CoRR abs/2308.05745 (2023) - 2021
- [c2]Iaroslav Koshelev, Andrey Somov:
Learned Gradient Descent Performance in Bicubic Super-Resolution Task. IECON 2021: 1-6 - [i2]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:
NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results. CoRR abs/2104.10781 (2021) - [i1]Iaroslav Koshelev, Daniil Selikhanovych, Stamatios Lefkimmiatis:
DeepRLS: A Recurrent Network Architecture with Least Squares Implicit Layers for Non-blind Image Deconvolution. CoRR abs/2112.05505 (2021) - 2020
- [c1]Iaroslav Koshelev, Andrey Somov, Stamatios Lefkimmiatis, Antonio Jose Rodríguez-Sánchez:
Deconvolution of Image Sequences with a Learning FFT-based Approach. ISIE 2020: 1381-1386
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