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 • 14 Jan 2024 • Sheng Zhang, Minheng Chen, Junxian Wu, Ziyue Zhang, Tonglong Li, Cheng Xue, Youyong Kong
In this paper, we propose a three-stage method to address the challenges in 3D CT vertebrae identification at vertebrae-level.
no code implementations • 28 Feb 2023 • Xuan Sun, Ziyue Zhang, Guannan Chen, Dan Zhu
After removing the redundancy by filtering the information, CRF can use the valid information of the compressed video to reconstruct the texture.
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.