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Yuezhou Li

Publications
6
Citations
72
Publications by Year
20212024
Co-Authors:
Show All Co-Authors (138)
Image of author Yuezhou Li

Yuezhou Li

Affiliation

Fujian Key Laboratory of Network Computing and Intelligent Information Processing
College of Computer and Data Science
Fuzhou University, Fuzhou, China
Engineering Research Center of Big Data Intelligence
Ministry of Education
Fuzhou, China

Publication Topics

Biography

Yuezhou Li received the B.S. degree in computer science and technology from Fujian Normal University, Fuzhou, China, in 2018, and the M.S. degree in computer technology in 2021 from Fuzhou University, Fuzhou, China, where he is currently working toward the Ph.D. degree with the College of Computer and Data Science. His research interests include image enhancement and restoration, object detection/segmentation, and visual tracking.(Based on document published on 12 June 2024).
Publications
6
Citations
72
Publications by Year
20212024
Co-Authors:
Show All Co-Authors (138)
Author's Published Works

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Bilateral Interaction for Local-Global Collaborative Perception in Low-Light Image Enhancement

Rui Xu;Yuezhou Li;Yuzhen Niu;Huangbiao Xu;Yuzhong Chen;Tiesong Zhao

IEEE Transactions on Multimedia
Year: 2024 | Volume: 26 | Journal Article |
Low-light image enhancement is a challenging task due to the limited visibility in dark environments. While recent advances have shown progress in integrating CNNs and Transformers, the inadequate local-global perceptual interactions still impedes their application in complex degradation scenarios. To tackle this issue, we propose BiFormer, a lightweight framework that facilitates local-global col...Show More

Bilateral Interaction for Local-Global Collaborative Perception in Low-Light Image Enhancement

Rui Xu;Yuezhou Li;Yuzhen Niu;Huangbiao Xu;Yuzhong Chen;Tiesong Zhao

Year: 2024 | Volume: 26 | Journal Article |

Perceptual Decoupling With Heterogeneous Auxiliary Tasks for Joint Low-Light Image Enhancement and Deblurring

Yuezhou Li;Rui Xu;Yuzhen Niu;Wenzhong Guo;Tiesong Zhao

IEEE Transactions on Multimedia
Year: 2024 | Volume: 26 | Journal Article |
Cited by: Papers (1)
Capturing images at night are susceptible to inadequate illumination conditions and motion blurring. Given the typical coupling of these two forms of degradation, a pioneer work takes a compact approach of brightening followed by deblurring. However, this sequential approach may compromise informative features and elevate the likelihood of generating unintended artifacts. In this paper, we observe...Show More

Perceptual Decoupling With Heterogeneous Auxiliary Tasks for Joint Low-Light Image Enhancement and Deblurring

Yuezhou Li;Rui Xu;Yuzhen Niu;Wenzhong Guo;Tiesong Zhao

Year: 2024 | Volume: 26 | Journal Article |

Zero-Referenced Enlightening and Restoration for UAV Nighttime Vision

Yuezhou Li;Yuzhen Niu;Rui Xu;Yuqi He

IEEE Geoscience and Remote Sensing Letters
Year: 2024 | Volume: 21 | Journal Article |
Unmanned aerial vehicle (UAV)-based visual systems suffer from poor perception at nighttime. There are three challenges for enlightening nighttime vision for UAVs: First, the UAV nighttime images differ from underexposed images in the statistical characteristic, limiting the performance of general low-light image enhancement (LLIE) methods. Second, when enlightening nighttime images, the artifacts...Show More

Zero-Referenced Enlightening and Restoration for UAV Nighttime Vision

Yuezhou Li;Yuzhen Niu;Rui Xu;Yuqi He

Year: 2024 | Volume: 21 | Journal Article |

Efficient Encoder-Decoder Network With Estimated Direction for SAR Ship Detection

Yuzhen Niu;Yuezhou Li;Jiangyi Huang;Yuzhong Chen

IEEE Geoscience and Remote Sensing Letters
Year: 2022 | Volume: 19 | Journal Article |
Cited by: Papers (7)
Synthetic aperture radar (SAR) image ship detection has important applications in marine surveillance. There are two limitations when applying advanced detection methods naively for SAR ship detection. First, most detectors construct the model as an encoder and rely on the feature pyramid network (FPN) head for accurate prediction, which may lead to high computational costs. Second, the background...Show More

Efficient Encoder-Decoder Network With Estimated Direction for SAR Ship Detection

Yuzhen Niu;Yuezhou Li;Jiangyi Huang;Yuzhong Chen

Year: 2022 | Volume: 19 | Journal Article |

The Ninth Visual Object Tracking VOT2021 Challenge Results

Matej Kristan;Jiří Matas;Aleš Leonardis;Michael Felsberg;Roman Pflugfelder;Joni-Kristian Kämäräinen;Hyung Jin Chang;Martin Danelljan;Luka Čehovin Zajc;Alan Lukežič;Ondrej Drbohlav;Jani Käpylä;Gustav Häger;Song Yan;Jinyu Yang;Zhongqun Zhang;Gustavo Fernández;Mohamed Abdelpakey;Goutam Bhat;Llukman Cerkezi;Hakan Cevikalp;Shengyong Chen;Xin Chen;Miao Cheng;Ziyi Cheng;Yu-Chen Chiu;Ozgun Cirakman;Yutao Cui;Kenan Dai;Mohana Murali Dasari;Qili Deng;Xingping Dong;Daniel K. Du;Matteo Dunnhofer;Zhen-Hua Feng;Zhiyong Feng;Zhihong Fu;Shiming Ge;Rama Krishna Gorthi;Yuzhang Gu;Bilge Gunsel;Qing Guo;Filiz Gurkan;Wencheng Han;Yanyan Huang;Felix Järemo Lawin;Shang-Jhih Jhang;Rongrong Ji;Cheng Jiang;Yingjie Jiang;Felix Juefei-Xu;Yin Jun;Xiao Ke;Fahad Shahbaz Khan;Byeong Hak Kim;Josef Kittler;Xiangyuan Lan;Jun Ha Lee;Bastian Leibe;Hui Li;Jianhua Li;Xianxian Li;Yuezhou Li;Bo Liu;Chang Liu;Jingen Liu;Li Liu;Qingjie Liu;Huchuan Lu;Wei Lu;Jonathon Luiten;Jie Ma;Ziang Ma;Niki Martinel;Christoph Mayer;Alireza Memarmoghadam;Christian Micheloni;Yuzhen Niu;Danda Paudel;Houwen Peng;Shoumeng Qiu;Aravindh Rajiv;Muhammad Rana;Andreas Robinson;Hasan Saribas;Ling Shao;Mohamed Shehata;Furao Shen;Jianbing Shen;Kristian Simonato;Xiaoning Song;Zhangyong Tang;Radu Timofte;Philip Torr;Chi-Yi Tsai;Bedirhan Uzun;Luc Van Gool;Paul Voigtlaender;Dong Wang;Guangting Wang;Liangliang Wang;Lijun Wang;Limin Wang;Linyuan Wang;Yong Wang;Yunhong Wang;Chenyan Wu;Gangshan Wu;Xiao-Jun Wu;Fei Xie;Tianyang Xu;Xiang Xu;Wanli Xue;Bin Yan;Wankou Yang;Xiaoyun Yang;Yu Ye;Jun Yin;Chengwei Zhang;Chunhui Zhang;Haitao Zhang;Kaihua Zhang;Kangkai Zhang;Xiaohan Zhang;Xiaolin Zhang;Xinyu Zhang;Zhibin Zhang;Shaochuan Zhao;Ming Zhen;Bineng Zhong;Jiawen Zhu;Xue-Feng Zhu

2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
Year: 2021 | Conference Paper |
Cited by: Papers (63)
The Visual Object Tracking challenge VOT2021 is the ninth annual tracker benchmarking activity organized by the VOT initiative. Results of 71 trackers are presented; many are state-of-the-art trackers published at major computer vision conferences or in journals in recent years. The VOT2021 challenge was composed of four sub-challenges focusing on different tracking domains: (i) VOT-ST2021 challen...Show More

The Ninth Visual Object Tracking VOT2021 Challenge Results

Matej Kristan;Jiří Matas;Aleš Leonardis;Michael Felsberg;Roman Pflugfelder;Joni-Kristian Kämäräinen;Hyung Jin Chang;Martin Danelljan;Luka Čehovin Zajc;Alan Lukežič;Ondrej Drbohlav;Jani Käpylä;Gustav Häger;Song Yan;Jinyu Yang;Zhongqun Zhang;Gustavo Fernández;Mohamed Abdelpakey;Goutam Bhat;Llukman Cerkezi;Hakan Cevikalp;Shengyong Chen;Xin Chen;Miao Cheng;Ziyi Cheng;Yu-Chen Chiu;Ozgun Cirakman;Yutao Cui;Kenan Dai;Mohana Murali Dasari;Qili Deng;Xingping Dong;Daniel K. Du;Matteo Dunnhofer;Zhen-Hua Feng;Zhiyong Feng;Zhihong Fu;Shiming Ge;Rama Krishna Gorthi;Yuzhang Gu;Bilge Gunsel;Qing Guo;Filiz Gurkan;Wencheng Han;Yanyan Huang;Felix Järemo Lawin;Shang-Jhih Jhang;Rongrong Ji;Cheng Jiang;Yingjie Jiang;Felix Juefei-Xu;Yin Jun;Xiao Ke;Fahad Shahbaz Khan;Byeong Hak Kim;Josef Kittler;Xiangyuan Lan;Jun Ha Lee;Bastian Leibe;Hui Li;Jianhua Li;Xianxian Li;Yuezhou Li;Bo Liu;Chang Liu;Jingen Liu;Li Liu;Qingjie Liu;Huchuan Lu;Wei Lu;Jonathon Luiten;Jie Ma;Ziang Ma;Niki Martinel;Christoph Mayer;Alireza Memarmoghadam;Christian Micheloni;Yuzhen Niu;Danda Paudel;Houwen Peng;Shoumeng Qiu;Aravindh Rajiv;Muhammad Rana;Andreas Robinson;Hasan Saribas;Ling Shao;Mohamed Shehata;Furao Shen;Jianbing Shen;Kristian Simonato;Xiaoning Song;Zhangyong Tang;Radu Timofte;Philip Torr;Chi-Yi Tsai;Bedirhan Uzun;Luc Van Gool;Paul Voigtlaender;Dong Wang;Guangting Wang;Liangliang Wang;Lijun Wang;Limin Wang;Linyuan Wang;Yong Wang;Yunhong Wang;Chenyan Wu;Gangshan Wu;Xiao-Jun Wu;Fei Xie;Tianyang Xu;Xiang Xu;Wanli Xue;Bin Yan;Wankou Yang;Xiaoyun Yang;Yu Ye;Jun Yin;Chengwei Zhang;Chunhui Zhang;Haitao Zhang;Kaihua Zhang;Kangkai Zhang;Xiaohan Zhang;Xiaolin Zhang;Xinyu Zhang;Zhibin Zhang;Shaochuan Zhao;Ming Zhen;Bineng Zhong;Jiawen Zhu;Xue-Feng Zhu

Year: 2021 | Conference Paper |

Template Enhancement and Mask Generation for Siamese Tracking

Xiao Ke;Yuezhou Li;Yu Ye;Wenzhong Guo

IEEE Signal Processing Letters
Year: 2021 | Volume: 28 | Journal Article |
Cited by: Papers (1)
Siamese tracking methods have become the focus of visual tracking in recent years. Advanced Siamese trackers perform well on certain benchmarks, but there are still some limitations. First, most Siamese trackers adopt the initial frame as a single template, which leads to underfitting and reduces the ability to predict instances. Second, mainstream trackers report a rectangular bounding box as a p...Show More

Template Enhancement and Mask Generation for Siamese Tracking

Xiao Ke;Yuezhou Li;Yu Ye;Wenzhong Guo

Year: 2021 | Volume: 28 | Journal Article |

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