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Changsheng Xu

35 papers hereh-index 7622.1k citations538 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author27

Across the 31 of 35 papers where every author was matched, so the position is known.

fields
  • cs.CV23
  • cs.LG7
  • cs.IR3
  • cs.HC1
  • cs.MM1
same name
  • Changsheng Xu — 26 papers, h 31
  • Changsheng Xu — 21 papers, h 7
  • Changsheng Xu — 12 papers, h 6
  • Changsheng Xu — 8 papers, h 9
  • Changsheng Xu — 8 papers, h 6
  • Changsheng Xu — 8 papers, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152021
most citedDeep Representation Learning with Part Loss for Person Re-Identification

471 citations · 1.1k across the 34 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.LG2017★ 5 cited

Understanding Deep Learning Generalization by Maximum Entropy

Guanhua Zheng, Jitao Sang, Changsheng Xu

Deep learning achieves remarkable generalization capability with overwhelming number of model parameters. Theoretical understanding of deep learning generalization receives recent…

cs.CV2017★ 471 cited

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…

cs.IR2017★ 2 cited

Hashtag-centric Immersive Search on Social Media

Yuqi Gao, Jitao Sang, Tongwei Ren +1

Social media information distributes in different Online Social Networks (OSNs). This paper addresses the problem integrating the cross-OSN information to facilitate an immersive s…

cs.CV2017★ 371 cited

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…

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