425 citations · 814 across the 7 of their papers we have counts for
7 papers
Attention Driven Person Re-identification
Fan Yang, Ke Yan, Shijian Lu +3
Person re-identification (ReID) is a challenging task due to arbitrary human pose variations, background clutters, etc. It has been studied extensively in recent years, but the mul…
RAM: A Region-Aware Deep Model for Vehicle Re-Identification
Xiaobin Liu, Shiliang Zhang, Qingming Huang +1
Previous works on vehicle Re-ID mainly focus on extracting global features and learning distance metrics. Because some vehicles commonly share same model and maker, it is hard to d…
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…
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…
Deep Attributes Driven Multi-Camera Person Re-identification
Chi Su, Shiliang Zhang, Junliang Xing +2
The visual appearance of a person is easily affected by many factors like pose variations, viewpoint changes and camera parameter differences. This makes person Re-Identification (…