no code implementations • 27 Apr 2024 • Di wu, Shicai Fan, Xue Zhou, Li Yu, Yuzhong Deng, Jianxiao Zou, Baihong Lin
In MDPS, the problem of normal image reconstruction is mathematically modeled as multiple diffusion posterior sampling for normal images based on the devised masked noisy observation model and the diffusion-based normal image prior under Bayesian framework.
1 code implementation • 19 May 2022 • Jin Ding, Xue Zhou
Unsupervised domain adaptive (UDA) person re-identification (ReID) has gained increasing attention for its effectiveness on the target domain without manual annotations.
Ranked #1 on Unsupervised Domain Adaptation on Market to Duke
Unsupervised Domain Adaptation Unsupervised Domain Adaptationn +2
1 code implementation • 19 Apr 2021 • Chao Liang, Zhipeng Zhang, Xue Zhou, Bing Li, Weiming Hu
Eventually, it helps to reload the ``fake background'' and repair the broken tracklets.
4 code implementations • 23 Oct 2020 • Chao Liang, Zhipeng Zhang, Xue Zhou, Bing Li, Shuyuan Zhu, Weiming Hu
However, the inherent differences and relations between detection and re-identification (ReID) are unconsciously overlooked because of treating them as two isolated tasks in the one-shot tracking paradigm.
Ranked #1 on Multi-Object Tracking on HiEve (using extra training data)
1 code implementation • 5 Sep 2019 • Yiming Wu, Omar El Farouk Bourahla, Xi Li, Fei Wu, Qi Tian, Xue Zhou
While correlations between parts are ignored in the previous methods, to leverage the relations of different parts, we propose an innovative adaptive graph representation learning scheme for video person Re-ID, which enables the contextual interactions between relevant regional features.
Ranked #3 on Person Re-Identification on PRID2011
Graph Representation Learning Video-Based Person Re-Identification