471 citations · 1.6k across the 45 of their papers we have counts for
7 papers · 1 filter
LVreID: Person Re-Identification with Long Sequence Videos
Jianing Li, Shiliang Zhang, Jingdong Wang +2
This paper mainly establishes a large-scale Long sequence Video database for person re-IDentification (LVreID).
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification
Longhui Wei, Shiliang Zhang, Wen Gao +1
Although the performance of person Re-Identification (ReID) has been significantly boosted, many challenging issues in real scenarios have not been fully investigated, e.g., the co…
Pose-driven Deep Convolutional Model for Person Re-identification
Chi Su, Jianing Li, Shiliang Zhang +3
Feature extraction and matching are two crucial components in person Re-Identification (ReID). The large pose deformations and the complex view variations exhibited by the captured…
EBoWs: An End-to-End Bag-of-Words Model via Deep Convolutional Neural Network
Xiaobin Liu, Shiliang Zhang, Tiejun Huang +1
Traditional Bag-of-visual Words (BoWs) model is commonly generated with many steps including local feature extraction, codebook generation, and feature quantization, etc. Those ste…
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…