9 citations · 16 across the 6 of their papers we have counts for
8 papers
Modality-Adaptive Mixup and Invariant Decomposition for RGB-Infrared Person Re-Identification
Zhipeng Huang, Jiawei Liu, Liang Li +2
RGB-infrared person re-identification is an emerging cross-modality re-identification task, which is very challenging due to significant modality discrepancy between RGB and infrar…
Debiased Batch Normalization via Gaussian Process for Generalizable Person Re-Identification
Jiawei Liu, Zhipeng Huang, Liang Li +2
Generalizable person re-identification aims to learn a model with only several labeled source domains that can perform well on unseen domains. Without access to the unseen domain,…
Pose-Guided Feature Learning with Knowledge Distillation for Occluded Person Re-Identification
Kecheng Zheng, Cuiling Lan, Wenjun Zeng +3
Occluded person re-identification (ReID) aims to match person images with occlusion. It is fundamentally challenging because of the serious occlusion which aggravates the misalignm…
Adaptive Domain-Specific Normalization for Generalizable Person Re-Identification
Jiawei Liu, Zhipeng Huang, Kecheng Zheng +3
Although existing person re-identification (Re-ID) methods have shown impressive accuracy, most of them usually suffer from poor generalization on unseen target domain. Thus, gener…
Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos
Jiawei Liu, Zheng-Jun Zha, Wei Wu +2
Video-based person re-identification aims to match pedestrians from video sequences across non-overlapping camera views. The key factor for video person re-identification is to eff…
Temporal Attribute-Appearance Learning Network for Video-based Person Re-Identification
Jiawei Liu, Xierong Zhu, Zheng-Jun Zha
Video-based person re-identification aims to match a specific pedestrian in surveillance videos across different time and locations. Human attributes and appearance are complementa…