Mang Ye

Five papers on Federated Learning and Multi-Modal Learning accepted by CVPR 2024, including two 3rd-year undergraduates.

Prof. Ye is invited to serve as ECCV 2024 and ACM MM 2024 Area Chair.

Four papers on Person Generation, Federated Learning and Multi-modal Learning accepted by AAAI 2024.

Three papers on Federated Learning, Visible-Infrared ReID, Sketch ReID accepted by IEEE TPAMI.

A survey on Hetergeneous Federated Learning is accepted by ACM Computing Surveys. [arXiv]

Prof. Ye is invited to serve as CVPR 2024 Area Chair.

Three papers on Unsupervised VI-ReID, Continual Learning, Federated Learning accepted by ICCV 2023.

Four papers on Federated Learning and Multi-modaltiy ReID accepted by CVPR 2023.

Congratulations to He Li (李贺、博士生), Xiuwen Fang (方修文、硕士生), Junwu Zhang (张俊武、本科生), Jiaming Zhang (张家铭、本科生), Zhangyi Hu (胡张艺、本科生), for the National Scholarships.

Two papers accepted by IEEE TIP 2021 and one paper accepted by IEEE TIFS 2021.

Two papers accepted by ICCV 2021 and two papers accepted by ACM MM 2021.

We have released the code of dual-attentive cross-modality Re-ID in ECCV 2020. Code

The extended version of our CVPR19 paper on unsupervised embedding has been accepted by TPAMI. [Code]

A survey on deep person re-identification with a powerful AGW baseline. [ArXiv] [Code].

We have released the code of unsupervised embedding learning in CVPR 2019. [Code].