no code implementations • CVPR 2023 • Yue Gao, Yuan Zhou, Jinglu Wang, Xiao Li, Xiang Ming, Yan Lu
Our method leverages both self-supervised learned landmarks and 3D face model-based landmarks to model the motion.
1 code implementation • 2 Jul 2022 • Xiaohao Xu, Jinglu Wang, Xiang Ming, Yan Lu
We consolidate this conditional mask calibration process in a progressive manner, where the object representations and proto-masks evolve to be discriminative iteratively.
Ranked #1 on Visual Object Tracking on YouTube-VOS
no code implementations • CVPR 2019 • Xiang Ming, Fangyun Wei, Ting Zhang, Dong Chen, Fang Wen
Faces at all scales can be well detected with features from a single layer of the network.
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.
no code implementations • CVPR 2015 • Xiangyu Zhang, Jianhua Zou, Xiang Ming, Kaiming He, Jian Sun
This paper aims to accelerate the test-time computation of deep convolutional neural networks (CNNs).