no code implementations • 28 Apr 2021 • Chen-Chen Fan, Haiqun Xie, Liang Peng, Hongjun Yang, Zhen-Liang Ni, Guan'an Wang, Yan-Jie Zhou, Sheng Chen, Zhijie Fang, Shuyun Huang, Zeng-Guang Hou
On the DMS data set, GF-DANN has obtained an accuracy rate of 89. 47%, and the sensitivity and specificity are 90% and 89%.
1 code implementation • ECCV 2020 • Guan'an Wang, Shaogang Gong, Jian Cheng, Zeng-Guang Hou
In this work, we introduce a new solution for fast ReID by formulating a novel Coarse-to-Fine (CtF) hashing code search strategy, which complementarily uses short and long codes, achieving both faster speed and better accuracy.
2 code implementations • CVPR 2020 • Guan'an Wang, Shuo Yang, Huanyu Liu, Zhicheng Wang, Yang Yang, Shuliang Wang, Gang Yu, Erjin Zhou, Jian Sun
When aligning two groups of local features from two images, we view it as a graph matching problem and propose a cross-graph embedded-alignment (CGEA) layer to jointly learn and embed topology information to local features, and straightly predict similarity score.
1 code implementation • ICCV 2019 • Guan'an Wang, Tianzhu Zhang, Jian Cheng, Si Liu, Yang Yang, Zeng-Guang Hou
First, it can exploit pixel alignment and feature alignment jointly.
Cross-Modality Person Re-identification Generative Adversarial Network +2
no code implementations • ECCV 2018 • Guan'an Wang, Qinghao Hu, Jian Cheng, Zeng-Guang Hou
Secondly, we design novel structure of the generative model and the discriminative model to learn the distribution of triplet-wise information in a semi-supervised way.