Simultaneous compressive image recovery and deep denoiser learning from undersampled measurements. - Magauiya Zhussip; Se Young Chun (CoRR, 2018)

NTIRE 2019 Challenge on Real Image Denoising: Methods and Results. - Abdelrahman Abdelhamed; Radu Timofte; Michael S. Brown; Songhyun Yu; Bumjun Park; Jechang Jeong; Seung-Won Jung; Dong-Wook Kim; Jae Ryun Chung; Jiaming Liu; Yuzhi Wang; Chi-Hao Wu 001; et al. (CVPR Workshops, 2019)

Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior. - Magauiya Zhussip; Shakarim Soltanayev; Se Young Chun (CVPR, 2019)

Extending Stein's unbiased risk estimator to train deep denoisers with correlated pairs of noisy images. - Magauiya Zhussip; Shakarim Soltanayev; Se Young Chun (NeurIPS, 2019)

Theoretical analysis on Noise2Noise using Stein's Unbiased Risk Estimator for Gaussian denoising: Towards unsupervised training with clipped noisy images. - Magauiya Zhussip; Shakarim Soltanayev; Se Young Chun (CoRR, 2019)

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results. - Abdelrahman Abdelhamed; Mahmoud Afifi; Radu Timofte; Michael S. Brown; Yue Cao 009; Zhilu Zhang 001; Wangmeng Zuo; Xiaoling Zhang; Jiye Liu; Wendong Chen; Changyuan Wen; Meng Liu; et al. (CVPR Workshops, 2020)

AIM 2020 Challenge on Learned Image Signal Processing Pipeline. - Andrey Ignatov; Radu Timofte; Zhilu Zhang 001; Ming Liu 018; Haolin Wang; Wangmeng Zuo; Jiawei Zhang 002; Ruimao Zhang; Zhanglin Peng; Sijie Ren; Linhui Dai; Xiaohong Liu 001; et al. (ECCV Workshops (3), 2020)

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results. - Abdelrahman Abdelhamed; Mahmoud Afifi; Radu Timofte; Michael S. Brown; Yun Cao 002; Zhilu Zhang 001; Wangmeng Zuo; Xiaoling Zhang; Jiye Liu; Wendong Chen; Changyuan Wen; Meng Liu; et al. (CoRR, 2020)

AIM 2020 Challenge on Learned Image Signal Processing Pipeline. - Andrey Ignatov; Radu Timofte; Zhilu Zhang 001; Ming Liu 018; Haolin Wang; Wangmeng Zuo; Jiawei Zhang 002; Ruimao Zhang; Zhanglin Peng; Sijie Ren; Linhui Dai; Xiaohong Liu 001; et al. (CoRR, 2020)

NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results. - Goutam Bhat; Martin Danelljan; Radu Timofte; Kazutoshi Akita; Wooyeong Cho; Haoqiang Fan; Lanpeng Jia; Daeshik Kim; Bruno Lecouat; Youwei Li; Shuaicheng Liu; Ziluan Liu; et al. (CoRR, 2021)

NTIRE 2022 Burst Super-Resolution Challenge. - Goutam Bhat; Martin Danelljan; Radu Timofte; Yizhen Cao; Yuntian Cao; Meiya Chen; Xihao Chen; Shen Cheng; Akshay Dudhane; Haoqiang Fan; Ruipeng Gang; Jian Gao 008; et al. (CVPR Workshops, 2022)

NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. - Ren Yang; Radu Timofte; Meisong Zheng; Qunliang Xing; Minglang Qiao; Mai Xu; Lai Jiang; Huaida Liu; Ying Chen 011; Youcheng Ben; Xiao Zhou; Chen Fu; et al. (CVPR Workshops, 2022)

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. - Ren Yang; Radu Timofte; Xin Li 106; Qi Zhang 029; Lin Zhang 013; Fanglong Liu; Dongliang He; Fu Li 003; He Zheng; Weihang Yuan; Pavel Ostyakov; Dmitry Vyal; et al. (ECCV Workshops (3), 2022)

NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results. - Ren Yang; Radu Timofte; Meisong Zheng; Qunliang Xing; Minglang Qiao; Mai Xu; Lai Jiang; Huaida Liu; Ying Chen 011; Youcheng Ben; Xiao Zhou; Chen Fu; et al. (CoRR, 2022)

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. - Ren Yang; Radu Timofte; Xin Li 106; Qi Zhang 029; Lin Zhang 013; Fanglong Liu; Dongliang He; Fu Li 003; He Zheng; Weihang Yuan; Pavel Ostyakov; Dmitry Vyal; et al. (CoRR, 2022)

NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results. - Yawei Li 001; Yulun Zhang 001; Radu Timofte; Luc Van Gool; Lei Yu; Youwei Li; Xinpeng Li 002; Ting Jiang; Qi Wu 017; Mingyan Han; Wenjie Lin; Chengzhi Jiang; et al. (CVPR Workshops, 2023)

A Modular Conditional Diffusion Framework for Image Reconstruction. - Magauiya Zhussip; Iaroslav Koshelev; Stamatios Lefkimmiatis (NeurIPS, 2024)

ReplaceMe: Network Simplification via Layer Pruning and Linear Transformations. - Dmitriy Shopkhoev; Ammar Ali; Magauiya Zhussip; Valentin Malykh; Stamatios Lefkimmiatis; Nikos Komodakis; Sergey Zagoruyko (CoRR, 2025)

Share Your Attention: Transformer Weight Sharing via Matrix-based Dictionary Learning. - Magauiya Zhussip; Dmitriy Shopkhoev; Ammar Ali; Stamatios Lefkimmiatis (CoRR, 2025)