Y
Yuezhou Li
Researcher at Fuzhou University
Publications - 3
Citations - 224
Yuezhou Li is an academic researcher from Fuzhou University. The author has contributed to research in topics: Video tracking & Computer science. The author has an hindex of 1, co-authored 2 publications receiving 35 citations.
Papers
More filters
Book ChapterDOI
The Eighth Visual Object Tracking VOT2020 Challenge Results
Matej Kristan,Ales Leonardis,Jiří Matas,Michael Felsberg,Roman Pflugfelder,Roman Pflugfelder,Joni-Kristian Kamarainen,Martin Danelljan,Luka Čehovin Zajc,Alan Lukežič,Ondrej Drbohlav,Linbo He,Yushan Zhang,Yushan Zhang,Song Yan,Jinyu Yang,Gustavo Fernandez,Alexander G. Hauptmann,Alireza Memarmoghadam,Alvaro Garcia-Martin,Andreas Robinson,Anton Varfolomieiev,Awet Haileslassie Gebrehiwot,Bedirhan Uzun,Bin Yan,Bing Li,Chen Qian,Chi-Yi Tsai,Christian Micheloni,Dong Wang,Fei Wang,Fei Xie,Felix Järemo Lawin,Fredrik K. Gustafsson,Gian Luca Foresti,Goutam Bhat,Guangqi Chen,Haibin Ling,Haitao Zhang,Hakan Cevikalp,Haojie Zhao,Haoran Bai,Hari Chandana Kuchibhotla,Hasan Saribas,Heng Fan,Hossein Ghanei-Yakhdan,Houqiang Li,Houwen Peng,Huchuan Lu,Hui Li,Javad Khaghani,Jesús Bescós,Jianhua Li,Jianlong Fu,Jiaqian Yu,Jingtao Xu,Josef Kittler,Jun Yin,Junhyun Lee,Kaicheng Yu,Kaiwen Liu,Kang Yang,Kenan Dai,Li Cheng,Li Zhang,Lijun Wang,Linyuan Wang,Luc Van Gool,Luca Bertinetto,Matteo Dunnhofer,Miao Cheng,Mohana Murali Dasari,Ning Wang,Pengyu Zhang,Philip H. S. Torr,Qiang Wang,Radu Timofte,Rama Krishna Sai Subrahmanyam Gorthi,Seokeon Choi,Seyed Mojtaba Marvasti-Zadeh,Shaochuan Zhao,Shohreh Kasaei,Shoumeng Qiu,Shuhao Chen,Thomas B. Schön,Tianyang Xu,Wei Lu,Weiming Hu,Wengang Zhou,Xi Qiu,Xiao Ke,Xiaojun Wu,Xiaolin Zhang,Xiaoyun Yang,Xue-Feng Zhu,Yingjie Jiang,Yingming Wang,Yiwei Chen,Yu Ye,Yuezhou Li,Yuncon Yao,Yunsung Lee,Yuzhang Gu,Zezhou Wang,Zhangyong Tang,Zhen-Hua Feng,Zhijun Mai,Zhipeng Zhang,Zhirong Wu,Ziang Ma +109 more
TL;DR: A significant novelty is introduction of a new VOT short-term tracking evaluation methodology, and introduction of segmentation ground truth in the VOT-ST2020 challenge – bounding boxes will no longer be used in theVDT challenges.
Proceedings ArticleDOI
The Ninth Visual Object Tracking VOT2021 Challenge Results
Matej Kristan,Jiri Matas,Ales Leonardis,Michael Felsberg,Roman Pflugfelder,Joni-Kristian Kamarainen,Hyung Jin Chang,Martin Danelljan,Luka Čehovin Zajc,Alan Lukezic,Ondrej Drbohlav,Jani Käpylä,Gustav Häger,Song Yan,Jinyu Yang,Zhongqun Zhang,Gustavo Fernandez,Mohamed H. 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 Sai Subrahmanyam 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 Pani 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 H. S. 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,Xiaojun 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 +131 more
Journal ArticleDOI
Efficient Encoder-Decoder Network With Estimated Direction for SAR Ship Detection
TL;DR: An anchor-free encoder–decoder model that can efficiently extract multiple-level features and formulate ship detection as a multitask learning problem, including a bounding box prediction and a ship direction regression is presented.