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

3 citations · 6 across the 6 of their papers we have counts for

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cs.CV20221 cited

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

Honghu Pan, Yongyong Chen, Yunqi He +2

Compared to visible-to-visible (V2V) person re-identification (ReID), the visible-to-infrared (V2I) person ReID task is more challenging due to the lack of sufficient training samp…

cs.CV2022

Multi-Granularity Graph Pooling for Video-based Person Re-Identification

Honghu Pan, Yongyong Chen, Zhenyu He

The video-based person re-identification (ReID) aims to identify the given pedestrian video sequence across multiple non-overlapping cameras. To aggregate the temporal and spatial…

cs.CV20223 cited

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

Honghu Pan, Qiao Liu, Yongyong Chen +4

Existing methods for video-based person re-identification (ReID) mainly learn the appearance feature of a given pedestrian via a feature extractor and a feature aggregator. However…

cs.CV20221 cited

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

Honghu Pan, Yongyong Chen, Tingyang Xu +2

The model-based gait recognition methods usually adopt the pedestrian walking postures to identify human beings. However, existing methods did not explicitly resolve the large intr…

cs.CV20201 cited

TCDesc: Learning Topology Consistent Descriptors for Image Matching

Honghu Pan, Fanyang Meng, Nana Fan +1

The constraint of neighborhood consistency or local consistency is widely used for robust image matching. In this paper, we focus on learning neighborhood topology consistent descr…

cs.CV2020

TCDesc: Learning Topology Consistent Descriptors

Honghu Pan, Fanyang Meng, Zhenyu He +2

Triplet loss is widely used for learning local descriptors from image patch. However, triplet loss only minimizes the Euclidean distance between matching descriptors and maximizes…