no code implementations • 30 Mar 2021 • Tianyu Zhang, Longhui Wei, Lingxi Xie, Zijie Zhuang, Yongfei Zhang, Bo Li, Qi Tian
Recently, the Transformer module has been transplanted from natural language processing to computer vision.
1 code implementation • CVPR 2021 • Tianyu Zhang, Lingxi Xie, Longhui Wei, Zijie Zhuang, Yongfei Zhang, Bo Li, Qi Tian
The main difficulty of person re-identification (ReID) lies in collecting annotated data and transferring the model across different domains.
no code implementations • 7 Apr 2020 • Haitian Zeng, Haizhou Ai, Zijie Zhuang, Long Chen
In this paper, we propose a novel Co-Attentive Sharing (CAS) module which extracts discriminative channels and spatial regions for more effective feature sharing in multi-task learning.
2 code implementations • CVPR 2020 • Long Chen, Haizhou Ai, Rui Chen, Zijie Zhuang, Shuang Liu
To further verify the scalability of our method, we propose a new large-scale multi-human dataset with 12 to 28 camera views.
Ranked #9 on 3D Multi-Person Pose Estimation on Campus
1 code implementation • ECCV 2020 • Zijie Zhuang, Longhui Wei, Lingxi Xie, Tianyu Zhang, Hengheng Zhang, Haozhe Wu, Haizhou Ai, Qi Tian
The fundamental difficulty in person re-identification (ReID) lies in learning the correspondence among individual cameras.
Ranked #16 on Unsupervised Domain Adaptation on Duke to Market
Direct Transfer Person Re-identification Domain Adaptive Person Re-Identification +2
no code implementations • 20 Sep 2019 • Rui Chen, Haizhou Ai, Chong Shang, Long Chen, Zijie Zhuang
It remains very challenging to build a pedestrian detection system for real world applications, which demand for both accuracy and speed.
no code implementations • 24 Oct 2018 • Zijie Zhuang, Haizhou Ai, Long Chen, Chong Shang
One paradigm to deal with this problem is to use some complicated methods for mapping all images into an artificial image space, which however will disrupt the natural image distribution and requires heavy image preprocessing.
3 code implementations • 12 Sep 2018 • Long Chen, Haizhou Ai, Zijie Zhuang, Chong Shang
Online multi-object tracking is a fundamental problem in time-critical video analysis applications.
Ranked #4 on Online Multi-Object Tracking on MOT16
Large-Scale Person Re-Identification Multi-Object Tracking +2