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Wei Shang

Publications
5
Citations
140
Publications by Year
20202023
Co-Authors:
Show All Co-Authors (87)
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Wei Shang

Affiliation

School of Computer Science and Technology, Harbin Institute of Technology

Publication Topics

Biography

Wei Shang received the B.S. degree in applied physics from Hohai University, Nanjing, China, in 2016. He is currently pursuing the M.S. degree with the College of Intelligence and Computing, Tianjin University, China. His research interests include deep learning and image processing.(Based on document published on 19 May 2020).
Publications
5
Citations
140
Publications by Year
20202023
Co-Authors:
Show All Co-Authors (87)
Author's Published Works

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Joint Video Multi-Frame Interpolation and Deblurring under Unknown Exposure Time

Wei Shang;Dongwei Ren;Yi Yang;Hongzhi Zhang;Kede Ma;Wangmeng Zuo

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2023 | Conference Paper |
Natural videos captured by consumer cameras often suffer from low framerate and motion blur due to the combination of dynamic scene complexity, lens and sensor imperfection, and less than ideal exposure setting. As a result, computational methods that jointly perform video frame interpolation and deblurring begin to emerge with the unrealistic assumption that the exposure time is known and fixed. ...Show More

Joint Video Multi-Frame Interpolation and Deblurring under Unknown Exposure Time

Wei Shang;Dongwei Ren;Yi Yang;Hongzhi Zhang;Kede Ma;Wangmeng Zuo

Year: 2023 | Conference Paper |

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;Youcheng Ben;Xiao Zhou;Chen Fu;Pei Cheng;Gang Yu;Junyi Li;Renlong Wu;Zhilu Zhang;Wei Shang;Zhengyao Lv;Yunjin Chen;Mingcai Zhou;Dongwei Ren;Kai Zhang;Wangmeng Zuo;Pavel Ostyakov;Vyal Dmitry;Shakarim Soltanayev;Chervontsev Sergey;Zhussip Magauiya;Xueyi Zou;Youliang Yan;Pablo Navarrete Michelini;Yunhua Lu;Diankai Zhang;Shaoli Liu;Si Gao;Biao Wu;Chengjian Zheng;Xiaofeng Zhang;Kaidi Lu;Ning Wang;Thuong Nguyen Canh;Thong Bach;Qing Wang;Xiaopeng Sun;Haoyu Ma;Shijie Zhao;Junlin Li;Liangbin Xie;Shuwei Shi;Yujiu Yang;Xintao Wang;Jinjin Gu;Chao Dong;Xiaodi Shi;Chunmei Nian;Dong Jiang;Jucai Lin;Zhihuai Xie;Mao Ye;Dengyan Luo;Liuhan Peng;Shengjie Chen;Xin Liu;Qian Wang;Xin Liu;Boyang Liang;Hang Dong;Yuhao Huang;Kai Chen;Xingbei Guo;Yujing Sun;Huilei Wu;Pengxu Wei;Yulin Huang;Junying Chen;Ik Hyun Lee;Sunder Ali Khowaja;Jiseok Yoon

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2022 | Conference Paper |
Cited by: Papers (22)
This paper reviews the NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video. In this challenge, we proposed the LDV 2.0 dataset, which includes the LDV dataset (240 videos) and 95 additional videos. This challenge includes three tracks. Track 1 aims at enhancing the videos compressed by HEVC at a fixed QP. Track 2 and Track 3 target both the super-resolution and qua...Show More

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;Youcheng Ben;Xiao Zhou;Chen Fu;Pei Cheng;Gang Yu;Junyi Li;Renlong Wu;Zhilu Zhang;Wei Shang;Zhengyao Lv;Yunjin Chen;Mingcai Zhou;Dongwei Ren;Kai Zhang;Wangmeng Zuo;Pavel Ostyakov;Vyal Dmitry;Shakarim Soltanayev;Chervontsev Sergey;Zhussip Magauiya;Xueyi Zou;Youliang Yan;Pablo Navarrete Michelini;Yunhua Lu;Diankai Zhang;Shaoli Liu;Si Gao;Biao Wu;Chengjian Zheng;Xiaofeng Zhang;Kaidi Lu;Ning Wang;Thuong Nguyen Canh;Thong Bach;Qing Wang;Xiaopeng Sun;Haoyu Ma;Shijie Zhao;Junlin Li;Liangbin Xie;Shuwei Shi;Yujiu Yang;Xintao Wang;Jinjin Gu;Chao Dong;Xiaodi Shi;Chunmei Nian;Dong Jiang;Jucai Lin;Zhihuai Xie;Mao Ye;Dengyan Luo;Liuhan Peng;Shengjie Chen;Xin Liu;Qian Wang;Xin Liu;Boyang Liang;Hang Dong;Yuhao Huang;Kai Chen;Xingbei Guo;Yujing Sun;Huilei Wu;Pengxu Wei;Yulin Huang;Junying Chen;Ik Hyun Lee;Sunder Ali Khowaja;Jiseok Yoon

Year: 2022 | Conference Paper |

Bringing Events into Video Deblurring with Non-consecutively Blurry Frames

Wei Shang;Dongwei Ren;Dongqing Zou;Jimmy S. Ren;Ping Luo;Wangmeng Zuo

2021 IEEE/CVF International Conference on Computer Vision (ICCV)
Year: 2021 | Conference Paper |
Cited by: Papers (39)
Recently, video deblurring has attracted considerable research attention, and several works suggest that events at high time rate can benefit deblurring. Existing video deblurring methods assume consecutively blurry frames, while neglecting the fact that sharp frames usually appear nearby blurry frame. In this paper, we develop a principled framework D2Nets for video deblurring to exploit non-cons...Show More

Bringing Events into Video Deblurring with Non-consecutively Blurry Frames

Wei Shang;Dongwei Ren;Dongqing Zou;Jimmy S. Ren;Ping Luo;Wangmeng Zuo

Year: 2021 | Conference Paper |

Single Image Deraining Using Bilateral Recurrent Network

Dongwei Ren;Wei Shang;Pengfei Zhu;Qinghua Hu;Deyu Meng;Wangmeng Zuo

IEEE Transactions on Image Processing
Year: 2020 | Volume: 29 | Journal Article |
Cited by: Papers (76)
Single image deraining has received considerable progress based on deep convolutional neural network (CNN). In existing deep deraining methods, CNNs are deployed to extract rain streaks while failing in learning direct mapping from rainy image to clean background image, and their architectures become more and more complicated. In this work, we first propose a single recurrent network (SRN) by recu...Show More

Single Image Deraining Using Bilateral Recurrent Network

Dongwei Ren;Wei Shang;Pengfei Zhu;Qinghua Hu;Deyu Meng;Wangmeng Zuo

Year: 2020 | Volume: 29 | Journal Article |

Bilateral Recurrent Network for Single Image Deraining

Wei Shang;Pengfei Zhu;Dongwei Ren;Hong Shi

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2020 | Conference Paper |
Cited by: Papers (3)
Single image deraining has been widely studied in recent years. Motivated by residual learning, most deep learning based deraining approaches devote research attention to extracting rain streaks, usually yielding visual artifacts in final deraining images. To address this issue, we in this paper propose bilateral recurrent network (BRN) to simultaneously exploit rain streak layer and background im...Show More

Bilateral Recurrent Network for Single Image Deraining

Wei Shang;Pengfei Zhu;Dongwei Ren;Hong Shi

Year: 2020 | Conference Paper |

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