How Image Generation Helps Visible-to-Infrared Person Re-Identification?

no code implementations • 4 Oct 2022 • Honghu Pan, Yongyong Chen, Yunqi He, Xin Li, Zhenyu He

To this end, we propose Flow2Flow, a unified framework that could jointly achieve training sample expansion and cross-modality image generation for V2I person ReID.

Image Generation Person Re-Identification

Pose-Aided Video-based Person Re-Identification via Recurrent Graph Convolutional Network

no code implementations • 23 Sep 2022 • Honghu Pan, Qiao Liu, Yongyong Chen, Yunqi He, Yuan Zheng, Feng Zheng, Zhenyu He

Finally, we propose a dual-attention method consisting of node-attention and time-attention to obtain the temporal graph representation from the node embeddings, where the self-attention mechanism is employed to learn the importance of each node and each frame.

Retrieval Video-Based Person Re-Identification +1

Towards Complete-View and High-Level Pose-based Gait Recognition

no code implementations • 23 Sep 2022 • Honghu Pan, Yongyong Chen, Tingyang Xu, Yunqi He, Zhenyu He

Extensive experiments on two large gait recognition datasets, i. e., CASIA-B and OUMVLP-Pose, demonstrate that our method outperforms the baseline model and existing pose-based methods by a large margin.

Gait Recognition Generative Adversarial Network +1