no code implementations • ECCV 2020 • Congzhentao Huang, Shuai Jiang, Yang Li, Ziyue Zhang, Jason Traish, Chen Deng, Sam Ferguson, Richard Yi Da Xu
To address this phenomenon, we propose a novel end-to-end training scheme that brings the three separate modules into a single model.
no code implementations • 8 Sep 2021 • Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Richard Yida Xu
We developer a purely unsupervised clothing change person ReID pipeline with person sync augmentation operation and same person feature restriction.
no code implementations • 12 Jan 2021 • Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Richard Yi Da Xu
In this paper, we propose a novel two-stream network with a lightweight resolution association ReID feature transformation (RAFT) module and a self-weighted attention (SWA) ReID module to evaluate features under different resolutions.
no code implementations • 15 Jul 2020 • Ziyue Zhang, Shuai Jiang, Congzhentao Huang, Yang Li, Richard Yi Da Xu
To solve this challenge, we proposed a Teacher-Student GAN model (TS-GAN) to adopt different domains and guide the ReID backbone to learn better ReID information.
no code implementations • 5 Feb 2020 • Ziyue Zhang, Richard YD Xu, Shuai Jiang, Yang Li, Congzhentao Huang, Chen Deng
Most existing works in Person Re-identification (ReID) focus on settings where illumination either is kept the same or has very little fluctuation.