471 citations · 1.5k across the 21 of their papers we have counts for
4 papers · 1 filter
GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval
Longhui Wei, Shiliang Zhang, Hantao Yao +2
The huge variance of human pose and the misalignment of detected human images significantly increase the difficulty of person Re-Identification (Re-ID). Moreover, efficient Re-ID s…
One-Shot Fine-Grained Instance Retrieval
Hantao Yao, Shiliang Zhang, Yongdong Zhang +2
Fine-Grained Visual Categorization (FGVC) has achieved significant progress recently. However, the number of fine-grained species could be huge and dynamically increasing in real s…
Deep Representation Learning with Part Loss for Person Re-Identification
Hantao Yao, Shiliang Zhang, Yongdong Zhang +2
Learning discriminative representations for unseen person images is critical for person Re-Identification (ReID). Most of current approaches learn deep representations in classific…
DR2-Net: Deep Residual Reconstruction Network for Image Compressive Sensing
Hantao Yao, Feng Dai, Dongming Zhang +4
Most traditional algorithms for compressive sensing image reconstruction suffer from the intensive computation. Recently, deep learning-based reconstruction algorithms have been re…