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