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20152021
most citedGLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval

425 citations · 1.3k across the 24 of their papers we have counts for

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Showing 2017 · cs.CVShow all

15 papers · 2 filters

cs.CV2017

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).

cs.CV2017

Pseudo-positive regularization for deep person re-identification

Fuqing Zhu, Xiangwei Kong, Haiyan Fu +1

An intrinsic challenge of person re-identification (re-ID) is the annotation difficulty. This typically means 1) few training samples per identity, and 2) thus the lack of diversit…

cs.CV2017★ 152 cited

Beyond Part Models: Person Retrieval with Refined Part Pooling (and a Strong Convolutional Baseline)

Yifan Sun, Liang Zheng, Yi Yang +2

Employing part-level features for pedestrian image description offers fine-grained information and has been verified as beneficial for person retrieval in very recent literature. A…

cs.CV2017

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…

cs.CV2017

Learning to Learn Image Classifiers with Visual Analogy

Linjun Zhou, Peng Cui, Shiqiang Yang +2

Humans are far better learners who can learn a new concept very fast with only a few samples compared with machines. The plausible mystery making the difference is two fundamental…

cs.CV2017★ 38 cited

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…