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Yunjin Chen
Publications - 9
Citations - 8728
Yunjin Chen is an academic researcher. The author has contributed to research in topics: Computer science & Image restoration. The author has an hindex of 5, co-authored 5 publications receiving 4710 citations.
Papers
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Journal ArticleDOI
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
TL;DR: Zhang et al. as mentioned in this paper proposed a feed-forward denoising convolutional neural networks (DnCNNs) to handle Gaussian denobling with unknown noise level.
Journal ArticleDOI
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
TL;DR: Zhang et al. as discussed by the authors proposed a denoising convolutional neural network (DnCNN) to handle Gaussian denoizing with unknown noise level, which implicitly removes the latent clean image in the hidden layers.
Proceedings ArticleDOI
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results
Radu Timofte,Eirikur Agustsson,Luc Van Gool,Ming-Hsuan Yang,Lei Zhang,Bee Oh Lim,Sanghyun Son,Heewon Kim,Seungjun Nah,Kyoung Mu Lee,Xintao Wang,Yapeng Tian,Ke Yu,Yulun Zhang,Shixiang Wu,Chao Dong,Liang Lin,Yu Qiao,Chen Change Loy,Woong Bae,Jaejun Yoo,Yoseob Han,Jong Chul Ye,Jae-Seok Choi,Munchurl Kim,Yuchen Fan,Jiahui Yu,Wei Han,Ding Liu,Haichao Yu,Zhangyang Wang,Honghui Shi,Xinchao Wang,Thomas S. Huang,Yunjin Chen,Kai Zhang,Wangmeng Zuo,Zhimin Tang,Linkai Luo,Shaohui Li,Min Fu,Lei Cao,Wen Heng,Giang Bui,Truc Le,Ye Duan,Dacheng Tao,Ruxin Wang,Xu Lin,Jianxin Pang,Xu Jinchang,Yu Zhao,Xiangyu Xu,Jinshan Pan,Deqing Sun,Yujin Zhang,Xibin Song,Yuchao Dai,Xueying Qin,Xuan-Phung Huynh,Tiantong Guo,Hojjat Seyed Mousavi,Tiep H. Vu,Vishal Monga,Cristóvão Cruz,Karen Egiazarian,Vladimir Katkovnik,Rakesh Mehta,Arnav Kumar Jain,Abhinav Agarwalla,Ch V. Sai Praveen,Ruofan Zhou,Hongdiao Wen,Che Zhu,Zhiqiang Xia,Zhengtao Wang,Qi Guo +76 more
TL;DR: This paper reviews the first challenge on single image super-resolution (restoration of rich details in an low resolution image) with focus on proposed solutions and results and gauges the state-of-the-art in single imagesuper-resolution.
Proceedings ArticleDOI
Learning Dynamic Guidance for Depth Image Enhancement
TL;DR: A weighted analysis representation model for guided depth image enhancement is proposed, which advances the conventional methods in two aspects: task driven learning and dynamic guidance.
Journal ArticleDOI
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results
Ren Yang,Radu Timofte,Mei Zheng,Qunliang Xing,Minglang Qiao,Mai Xu,Lai Jiang,Huaida Liu,Ying Chen,Youcheng Ben,Xiang Zhao,Chen Fu,Pei Cheng,Gang Yu,Junyi Li,Ren-Rong Wu,Zhilu Zhang,Wei Shang,Zhe Lv,Yunjin Chen,Mingcai Zhou,Dongwei Ren,Kai Zhang,Wangmeng Zuo,Pavel Ostyakov,V.Z. Dmitry,Shakarim Soltanayev,Chervontsev Sergey,Zhussip Magauiya,Xueyi Zou,Youliang Yan Pablo Navarrete Michelini,Yunhua Lu,Di Zhang,Shaoli Lin,S Y Gao,Biao Wu,Cheng-yong Zheng,Xiaofeng Zhang,Kaidi Lu,Ning Wei Wang,Thuong Nguyen Canh,T T C Bach,Qing Wang,Xiaopeng Sun,Haoyu Ma,Shijie Zhao,Junlin Li,Liangbin Xie,Shu Shi,Yujiu Yang,Xintao Wang,Jinjin Gu,Chao Dong,Xiaodi Shi,Chunmei Nian,Dong-Jin Jiang,Jucai Lin,Zhihuai Xie,Dengyan Luo,Li Peng,Sheng Chen,Xin Liu,Bo Liang,Hang Dong,Yuhao Huang,Kai Ge Chen,Xin-Xin Guo,Yujing Sun,Hu Wu,Pengxu Wei,Yulin Huang,Ik Hyun Lee,Sunder Ali Khowaja,Jiseok Yoon +73 more
TL;DR: This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video and proposed the LDV 2.0 dataset, which includes theLDV dataset (240 videos) and 95 additional videos.