Chenyang Yu

awesome_video_person_reid. papers collection and understanding for video person re-identification

TF-CLIP. TF-CLIP: Learning Text-Free CLIP for Video-Based Person Re-identification (AAAI2024)

CLIMB-ReID. CLIMB-ReID: A Hybrid CLIP-Mamba Framework for Person Re-Identification（AAAI2025）

understand_videobased_reid. 关于video_reid代码的注释，原始代码地址

KCF-FOR-MATLAB. KCF程序注释

X-ReID. X-ReID: Multi-granularity Information Interaction for Video-based Visible-Infrared Person Re-Identification (AAAI2026 Oral)

CNN-RNN2016. Reimplementation the paper of Recurrent Convolutional Network for Video-based Person Re-Identification in Pytorch

HPL. Hierarchical Proxy Learning for Cloth-Changing Person Re-Identification（ICASSP2025）

SCAN_pytorch. support pytorch>=0.4

video_reid. We plan to release our code in CVPR 2018 "Video Person Re-identification with Competitive Snippet-similarity Aggregation and Co-attentive Snippet Embedding"

ASTPN2017. code for iccv2017 paper ASTPN

video_personreid_for_MARS. Based Siamese Network

tripletreid-zhushi. 注释 for triplet-reid

deep-person-reid. Pytorch implementation of deep person re-identification models.

Spatial-Temporal-Pooling-Networks-ReID. Pytorch implementation of the Attentive Spatial-Temporal Pooling Networks by Shuangjie Xu(2017.https://arxiv.org/abs/1708.02286)

3DNet_Visualization. Pytorch 3DNet attention feature map Visualization by [Cam](https://arxiv.org/abs/1512.04150)