no code implementations • 14 Dec 2021 • Zhimin Li, Cheng Zou, Yu Zhao, Boxun Li, Sheng Zhong
Human-Object Interaction (HOI) detection is a fundamental task in high-level human-centric scene understanding.
no code implementations • 29 Nov 2021 • Shihui Chen, Yueqing Zhuang, Boxun Li
Person Search is a relevant task that aims to jointly solve Person Detection and Person Re-identification(re-ID).
no code implementations • 3 Apr 2021 • Zhuyu Yao, Jiangbo Ai, Boxun Li, Chi Zhang
By taking advantage of both dense detection and sparse set detection, Efficient DETR leverages dense prior to initialize the object containers and brings the gap of the 1-decoder structure and 6-decoder structure.
1 code implementation • CVPR 2021 • Cheng Zou, Bohan Wang, Yue Hu, Junqi Liu, Qian Wu, Yu Zhao, Boxun Li, Chenguang Zhang, Chi Zhang, Yichen Wei, Jian Sun
We propose HOI Transformer to tackle human object interaction (HOI) detection in an end-to-end manner.
Ranked #13 on
Human-Object Interaction Detection
on HICO-DET
(using extra training data)
no code implementations • 22 Sep 2019 • Kevin Zhang, Feng Xiong, Peize Sun, Li Hu, Boxun Li, Gang Yu
Double Anchor RPN is developed to capture body and head parts in pairs.
no code implementations • 19 Feb 2019 • Chen Change Loy, Dahua Lin, Wanli Ouyang, Yuanjun Xiong, Shuo Yang, Qingqiu Huang, Dongzhan Zhou, Wei Xia, Quanquan Li, Ping Luo, Junjie Yan, Jian-Feng Wang, Zuoxin Li, Ye Yuan, Boxun Li, Shuai Shao, Gang Yu, Fangyun Wei, Xiang Ming, Dong Chen, Shifeng Zhang, Cheng Chi, Zhen Lei, Stan Z. Li, Hongkai Zhang, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen, Wu Liu, Boyan Zhou, Huaxiong Li, Peng Cheng, Tao Mei, Artem Kukharenko, Artem Vasenin, Nikolay Sergievskiy, Hua Yang, Liangqi Li, Qiling Xu, Yuan Hong, Lin Chen, Mingjun Sun, Yirong Mao, Shiying Luo, Yongjun Li, Ruiping Wang, Qiaokang Xie, Ziyang Wu, Lei Lu, Yiheng Liu, Wengang Zhou
This paper presents a review of the 2018 WIDER Challenge on Face and Pedestrian.
1 code implementation • 30 Apr 2018 • Shuai Shao, Zijian Zhao, Boxun Li, Tete Xiao, Gang Yu, Xiangyu Zhang, Jian Sun
There are a total of $470K$ human instances from the train and validation subsets, and $~22. 6$ persons per image, with various kinds of occlusions in the dataset.
Ranked #5 on
Pedestrian Detection
on Caltech
(using extra training data)
no code implementations • 18 Apr 2018 • Jianfeng Wang, Ye Yuan, Boxun Li, Gang Yu, Sun Jian
A new dataset called 4K-Face is also introduced to evaluate the performance of face detection with extreme large scale variations.