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Wenlong Zhang

Also published under: Wenlong zhang

Publications
7
Citations
326
Publications by Year
20192024
Co-Authors:
Show All Co-Authors (256)
Image of author Wenlong Zhang

Wenlong Zhang

Also published under: Wenlong zhang

Affiliation

The HongKong Polytechnic University

Publication Topics

Biography

Wenlong Zhang received the B.E. degree from the Zhengzhou University of Light Industry, Zhengzhou, China, in 2016, and the M.S. degree from the Beijing Institute of Technology, Beijing, China, in 2018. He is currently pursuing the Ph.D. degree with The Hong Kong Polytechnic University, Hong Kong.,He has worked as a Research Assistant with the Multimedia Laboratory, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, from 2018 to 2020. His research interests include image super-resolution and restoration.(Based on document published on 3 July 2023).
Publications
7
Citations
326
Publications by Year
20192024
Co-Authors:
Show All Co-Authors (256)
Author's Published Works

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The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report

Bin Ren;Yawei Li;Nancy Mehta;Radu Timofte;Hongyuan Yu;Cheng Wan;Yuxin Hong;Bingnan Han;Zhuoyuan Wu;Yajun Zou;Yuqing Liu;Jizhe Li;Keji He;Chao Fan;Heng Zhang;Xiaolin Zhang;Xuanwu Yin;Kunlong Zuo;Bohao Liao;Peizhe Xia;Long Peng;Zhibo Du;Xin Di;Wangkai Li;Yang Wang;Wei Zhai;Renjing Pei;Jiaming Guo;Songcen Xu;Yang Cao;Zhengjun Zha;Yan Wang;Yi Liu;Qing Wang;Gang Zhang;Liou Zhang;Shijie Zhao;Long Sun;Jinshan Pan;Jiangxin Dong;Jinhui Tang;Xin Liu;Min Yan;Qian Wang;Menghan Zhou;Yiqiang Yan;Yixuan Liu;Wensong Chan;Dehua Tang;Dong Zhou;Li Wang;Lu Tian;Barsoum Emad;Bohan Jia;Junbo Qiao;Yunshuai Zhou;Yun Zhang;Wei Li;Shaohui Lin;Shenglong Zhou;Binbin Chen;Jincheng Liao;Suiyi Zhao;Zhao Zhang;Bo Wang;Yan Luo;Yanyan Wei;Feng Li;Mingshen Wang;Yawei Li;Jinhan Guan;Dehua Hu;Jiawei Yu;Qisheng Xu;Tao Sun;Long Lan;Kele Xu;Xin Lin;Jingtong Yue;Lehan Yang;Shiyi Du;Lu Qi;Chao Ren;Zeyu Han;Yuhan Wang;Chaolin Chen;Haobo Li;Mingjun Zheng;Zhongbao Yang;Lianhong Song;Xingzhuo Yan;Minghan Fu;Jingyi Zhang;Baiang Li;Qi Zhu;Xiaogang Xu;Dan Guo;Chunle Guo;Jiadi Chen;Huanhuan Long;Chunjiang Duanmu;Xiaoyan Lei;Jie Liu;Weilin Jia;Weifeng Cao;Wenlong Zhang;Yanyu Mao;Ruilong Guo;Nihao Zhang;Qian Wang;Manoj Pandey;Maksym Chernozhukov;Giang Le;Shuli Cheng;Hongyuan Wang;Ziyan Wei;Qingting Tang;Liejun Wang;Yongming Li;Yanhui Guo;Hao Xu;Akram Khatami-Rizi;Ahmad Mahmoudi-Aznaveh;Chih-Chung Hsu;Chia-Ming Lee;Yi-Shiuan Chou;Amogh Joshi;Nikhil Akalwadi;Sampada Malagi;Palani Yashaswini;Chaitra Desai;Ramesh Ashok Tabib;Ujwala Patil;Uma Mudenagudi

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2024 | Conference Paper |
Cited by: Papers (23)
This paper provides a comprehensive review of the NTIRE 2024 challenge, focusing on efficient single-image super-resolution (ESR) solutions and their outcomes. The task of this challenge is to super-resolve an input image with a magnification factor of ×4 based on pairs of low and corresponding high-resolution images. The primary objective is to develop networks that optimize various aspects such ...Show More

The Ninth NTIRE 2024 Efficient Super-Resolution Challenge Report

Bin Ren;Yawei Li;Nancy Mehta;Radu Timofte;Hongyuan Yu;Cheng Wan;Yuxin Hong;Bingnan Han;Zhuoyuan Wu;Yajun Zou;Yuqing Liu;Jizhe Li;Keji He;Chao Fan;Heng Zhang;Xiaolin Zhang;Xuanwu Yin;Kunlong Zuo;Bohao Liao;Peizhe Xia;Long Peng;Zhibo Du;Xin Di;Wangkai Li;Yang Wang;Wei Zhai;Renjing Pei;Jiaming Guo;Songcen Xu;Yang Cao;Zhengjun Zha;Yan Wang;Yi Liu;Qing Wang;Gang Zhang;Liou Zhang;Shijie Zhao;Long Sun;Jinshan Pan;Jiangxin Dong;Jinhui Tang;Xin Liu;Min Yan;Qian Wang;Menghan Zhou;Yiqiang Yan;Yixuan Liu;Wensong Chan;Dehua Tang;Dong Zhou;Li Wang;Lu Tian;Barsoum Emad;Bohan Jia;Junbo Qiao;Yunshuai Zhou;Yun Zhang;Wei Li;Shaohui Lin;Shenglong Zhou;Binbin Chen;Jincheng Liao;Suiyi Zhao;Zhao Zhang;Bo Wang;Yan Luo;Yanyan Wei;Feng Li;Mingshen Wang;Yawei Li;Jinhan Guan;Dehua Hu;Jiawei Yu;Qisheng Xu;Tao Sun;Long Lan;Kele Xu;Xin Lin;Jingtong Yue;Lehan Yang;Shiyi Du;Lu Qi;Chao Ren;Zeyu Han;Yuhan Wang;Chaolin Chen;Haobo Li;Mingjun Zheng;Zhongbao Yang;Lianhong Song;Xingzhuo Yan;Minghan Fu;Jingyi Zhang;Baiang Li;Qi Zhu;Xiaogang Xu;Dan Guo;Chunle Guo;Jiadi Chen;Huanhuan Long;Chunjiang Duanmu;Xiaoyan Lei;Jie Liu;Weilin Jia;Weifeng Cao;Wenlong Zhang;Yanyu Mao;Ruilong Guo;Nihao Zhang;Qian Wang;Manoj Pandey;Maksym Chernozhukov;Giang Le;Shuli Cheng;Hongyuan Wang;Ziyan Wei;Qingting Tang;Liejun Wang;Yongming Li;Yanhui Guo;Hao Xu;Akram Khatami-Rizi;Ahmad Mahmoudi-Aznaveh;Chih-Chung Hsu;Chia-Ming Lee;Yi-Shiuan Chou;Amogh Joshi;Nikhil Akalwadi;Sampada Malagi;Palani Yashaswini;Chaitra Desai;Ramesh Ashok Tabib;Ujwala Patil;Uma Mudenagudi

Year: 2024 | Conference Paper |

DVMSR: Distillated Vision Mamba for Efficient Super-Resolution

Xiaoyan Lei;Wenlong zhang;Weifeng Cao

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2024 | Conference Paper |
Efficient Image Super-Resolution (SR) aims to accelerate SR network inference by minimizing computational complexity and network parameters while preserving performance. Existing state-of-the-art Efficient Image Super-Resolution methods are based on convolutional neural networks. Few attempts have been made with Mamba to harness its long-range modeling capability and efficient computational comple...Show More

DVMSR: Distillated Vision Mamba for Efficient Super-Resolution

Xiaoyan Lei;Wenlong zhang;Weifeng Cao

Year: 2024 | Conference Paper |

NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results

Longguang Wang;Yulan Guo;Yingqian Wang;Juncheng Li;Shuhang Gu;Radu Timofte;Ming Cheng;Haoyu Ma;Qiufang Ma;Xiaopeng Sun;Shijie Zhao;Xuhan Sheng;Yukan Ding;Ming Sun;Xing Wen;Dafeng Zhang;Jia Li;Fan Wang;Zheng Xie;Zongyao He;Zidian Qiu;Zilin Pan;Zhihao Zhan;Xingyuan Xian;Zhi Jin;Yuanbo Zhou;Wei Deng;Ruofeng Nie;Jiajun Zhang;Qinquan Gao;Tong Tong;Kexin Zhang;Junpei Zhang;Rui Peng;Yanbiao Ma;Licheng Jiao;Haoran Bai;Lingshun Kong;Jinshan Pan;Jiangxin Dong;Jinhui Tang;Pu Cao;Tianrui Huang;Lu Yang;Qing Song;Bingxin Chen;Chunhua He;Meiyun Chen;Zijie Guo;Shaojuan Luo;Chengzhi Cao;Kunyu Wang;Fanrui Zhang;Qiang Zhang;Nancy Mehta;Subrahmanyam Murala;Akshay Dudhane;Yujin Wang;Lingen Li;Garas Gendy;Nabil Sabor;Jingchao Hou;Guanghui He;Junyang Chen;Hao Li;Yukai Shi;Zhijing Yang;Wenbin Zou;Yunchen Zhang;Mingchao Jiang;Zhongxin Yu;Ming Tan;Hongxia Gao;Ziwei Luo;Fredrik K. Gustafsson;Zheng Zhao;Jens Sjölund;Thomas B. Schön;Jingxiang Chen;Bo Yang;XiSheryl Zhang;Chenghua Li;Weijun Yuan;Zhan Li;Ruting Deng;Jintao Zeng;Pulkit Mahajan;Sahaj Mistry;Shreyas Chatterjee;Vinit Jakhetiya;Badri Subudhi;Sunil Jaiswal;Zhao Zhang;Huan Zheng;Suiyi Zhao;Yangcheng Gao;Yanyan Wei;Bo Wang;Gen Li;Aijin Li;Lei Sun;Ke Chen;Congling Tang;Yunzhe Li;Jun Chen;Yuan-Chun Chiang;Yi-Chung Chen;Zhi-Kai Huang;Hao-Hsiang Yang;I-Hsiang Chen;Sy-Yen Kuo;Yiheng Wang;Gang Zhu;Xingyi Yang;Songhua Liu;Yongcheng Jing;Xingyu Hu;Jianwen Song;Changming Sun;Arcot Sowmya;Seung Ho Park;Xiaoyan Lei;Jingchao Wang;Chenbo Zhai;Yufei Zhang;Weifeng Cao;Wenlong Zhang

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2023 | Conference Paper |
Cited by: Papers (27)
This paper summarizes the 2nd NTIRE challenge on stereo image super-resolution (SR) with a focus on new solutions and results. The task of the challenge is to super-resolve a low-resolution stereo image pair to a high-resolution one with a magnification factor of ×4. Compared with single image SR, the major challenge of this challenge lies in how to exploit additional information in another viewpo...Show More

NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results

Longguang Wang;Yulan Guo;Yingqian Wang;Juncheng Li;Shuhang Gu;Radu Timofte;Ming Cheng;Haoyu Ma;Qiufang Ma;Xiaopeng Sun;Shijie Zhao;Xuhan Sheng;Yukan Ding;Ming Sun;Xing Wen;Dafeng Zhang;Jia Li;Fan Wang;Zheng Xie;Zongyao He;Zidian Qiu;Zilin Pan;Zhihao Zhan;Xingyuan Xian;Zhi Jin;Yuanbo Zhou;Wei Deng;Ruofeng Nie;Jiajun Zhang;Qinquan Gao;Tong Tong;Kexin Zhang;Junpei Zhang;Rui Peng;Yanbiao Ma;Licheng Jiao;Haoran Bai;Lingshun Kong;Jinshan Pan;Jiangxin Dong;Jinhui Tang;Pu Cao;Tianrui Huang;Lu Yang;Qing Song;Bingxin Chen;Chunhua He;Meiyun Chen;Zijie Guo;Shaojuan Luo;Chengzhi Cao;Kunyu Wang;Fanrui Zhang;Qiang Zhang;Nancy Mehta;Subrahmanyam Murala;Akshay Dudhane;Yujin Wang;Lingen Li;Garas Gendy;Nabil Sabor;Jingchao Hou;Guanghui He;Junyang Chen;Hao Li;Yukai Shi;Zhijing Yang;Wenbin Zou;Yunchen Zhang;Mingchao Jiang;Zhongxin Yu;Ming Tan;Hongxia Gao;Ziwei Luo;Fredrik K. Gustafsson;Zheng Zhao;Jens Sjölund;Thomas B. Schön;Jingxiang Chen;Bo Yang;XiSheryl Zhang;Chenghua Li;Weijun Yuan;Zhan Li;Ruting Deng;Jintao Zeng;Pulkit Mahajan;Sahaj Mistry;Shreyas Chatterjee;Vinit Jakhetiya;Badri Subudhi;Sunil Jaiswal;Zhao Zhang;Huan Zheng;Suiyi Zhao;Yangcheng Gao;Yanyan Wei;Bo Wang;Gen Li;Aijin Li;Lei Sun;Ke Chen;Congling Tang;Yunzhe Li;Jun Chen;Yuan-Chun Chiang;Yi-Chung Chen;Zhi-Kai Huang;Hao-Hsiang Yang;I-Hsiang Chen;Sy-Yen Kuo;Yiheng Wang;Gang Zhu;Xingyi Yang;Songhua Liu;Yongcheng Jing;Xingyu Hu;Jianwen Song;Changming Sun;Arcot Sowmya;Seung Ho Park;Xiaoyan Lei;Jingchao Wang;Chenbo Zhai;Yufei Zhang;Weifeng Cao;Wenlong Zhang

Year: 2023 | Conference Paper |

Spatial Resolution Matching of Microwave Radiometer Measurements Using Iterative Deconvolution With Close Loop Priors (ICLP)

Zhiyu Yao;Weidong Hu;Zhiyan Feng;Wenlong Zhang;Yang Liu;Zhihao Xu;Leo P. Ligthart

IEEE Transactions on Geoscience and Remote Sensing
Year: 2023 | Volume: 61 | Journal Article |
Passive multifrequency microwave sensors frequently struggle with difficulties of nonuniform spatial resolution among multiple channels. The raw measurements in the land–sea transition zone are seriously contaminated. Conventional analytical deconvolution techniques suffer from the tradeoff between spatial resolution enhancement and noise amplification, leading to low data integrity in the practic...Show More

Spatial Resolution Matching of Microwave Radiometer Measurements Using Iterative Deconvolution With Close Loop Priors (ICLP)

Zhiyu Yao;Weidong Hu;Zhiyan Feng;Wenlong Zhang;Yang Liu;Zhihao Xu;Leo P. Ligthart

Year: 2023 | Volume: 61 | Journal Article |

A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds

Wenlong Zhang;Guangyuan Shi;Yihao Liu;Chao Dong;Xiao-Ming Wu

2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Year: 2022 | Conference Paper |
Cited by: Papers (19)
Degradation models play an important role in Blind super-resolution (SR). The classical degradation model, which mainly involves blur degradation, is too simple to simulate real-world scenarios. The recently proposed practical degradation model includes a full spectrum of degradation types, but only considers complex cases that use all degradation types in the degradation process, while ignoring m...Show More

A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds

Wenlong Zhang;Guangyuan Shi;Yihao Liu;Chao Dong;Xiao-Ming Wu

Year: 2022 | Conference Paper |

RankSRGAN: Super Resolution Generative Adversarial Networks With Learning to Rank

Wenlong Zhang;Yihao Liu;Chao Dong;Yu Qiao

IEEE Transactions on Pattern Analysis and Machine Intelligence
Year: 2022 | Volume: 44, Issue: 10 | Journal Article |
Cited by: Papers (29)
Generative Adversarial Networks (GAN) have demonstrated the potential to recover realistic details for single image super-resolution (SISR). To further improve the visual quality of super-resolved results, PIRM2018-SR Challenge employed perceptual metrics to assess the perceptual quality, such as PI, NIQE, and Ma. However, existing methods cannot directly optimize these indifferentiable perceptual...Show More

RankSRGAN: Super Resolution Generative Adversarial Networks With Learning to Rank

Wenlong Zhang;Yihao Liu;Chao Dong;Yu Qiao

Year: 2022 | Volume: 44, Issue: 10 | Journal Article |

RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution

Wenlong Zhang;Yihao Liu;Chao Dong;Yu Qiao

2019 IEEE/CVF International Conference on Computer Vision (ICCV)
Year: 2019 | Conference Paper |
Cited by: Papers (228)
Generative Adversarial Networks (GAN) have demonstrated the potential to recover realistic details for single image super-resolution (SISR). To further improve the visual quality of super-resolved results, PIRM2018-SR Challenge employed perceptual metrics to assess the perceptual quality, such as PI, NIQE, and Ma. However, existing methods cannot directly optimize these indifferentiable perceptual...Show More

RankSRGAN: Generative Adversarial Networks With Ranker for Image Super-Resolution

Wenlong Zhang;Yihao Liu;Chao Dong;Yu Qiao

Year: 2019 | Conference Paper |

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