Mang Ye
Wuhan University
97 Papers
307 Citations
Mang Ye is an academic researcher from Wuhan University. The author has contributed to research in topics: Computer science & Feature learning. The author has an hindex of 27, co-authored 64 publications. Previous affiliations of Mang Ye include Hong Kong Baptist University.
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Papers
•Posted Content
Deep Learning for Person Re-identification: A Survey and Outlook
TL;DR: A powerful AGW baseline is designed, achieving state-of-the-art or at least comparable performance on twelve datasets for four different Re-ID tasks, and a new evaluation metric (mINP) is introduced, indicating the cost for finding all the correct matches, which provides an additional criteria to evaluate the Re- ID system for real applications.
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature
Mang Ye,Xu Zhang,Pong C. Yuen,Shih-Fu Chang +3 more
- 15 Jun 2019
TL;DR: A novel instance based softmax embedding method, which directly optimizes the `real' instance features on top of the softmax function, which achieves significantly faster learning speed and higher accuracy than all existing methods.
Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-identification
Mang Ye,Jianbing Shen,David J. Crandall,Ling Shao,Jiebo Luo +4 more
- 23 Aug 2020
TL;DR: An intra-modality weighted-part attention module to extract discriminative part-aggregated features, by imposing the domain knowledge on the part relationship mining, and a parameter-free dynamic dual aggregation learning strategy to adaptively integrate the two components in a progressive joint training manner.
443
•Proceedings Article
Hierarchical Discriminative Learning for Visible Thermal Person Re-Identification
Mang Ye,Xiangyuan Lan,Jiawei Li,Pong C. Yuen +3 more
- 27 Apr 2018
TL;DR: An improved two-stream CNN network is presented to learn the multimodality sharable feature representations and identity loss and contrastive loss are integrated to enhance the discriminability and modality-invariance with partially shared layer parameters.
Visible thermal person re-identification via dual-constrained top-ranking
Mang Ye,Zheng Wang,Xiangyuan Lan,Pong C. Yuen +3 more
- 01 Jul 2018
TL;DR: A dual-path network with a novel bi-directional dual-constrained top-ranking loss to learn discriminative feature representations and identity loss is further incorporated to model the identity-specific information to handle large intra-class variations.