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Yang Yang

4 papers hereh-index 211.1k citations49 works total

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

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • cs.MM1
same name
  • Yang Yang — 35 papers, h 5
  • Yang Yang — 26 papers, h 19
  • Yang Yang — 23 papers, h 9
  • Yang Yang — 19 papers, h 10
  • Yang Yang — 18 papers, h 6
  • Yang Yang — 18 papers, h 4

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
20172020
most citedCross-Domain Image Retrieval with Attention Modeling

65 citations · 94 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2020★ 16 cited

Hierarchical Bi-Directional Feature Perception Network for Person Re-Identification

Zhipu Liu, Lei Zhang, Yang Yang

Previous Person Re-Identification (Re-ID) models aim to focus on the most discriminative region of an image, while its performance may be compromised when that region is missing ca…

cs.CV2020★ 4 cited

Probability Weighted Compact Feature for Domain Adaptive Retrieval

Fuxiang Huang, Lei Zhang, Yang Yang +1

Domain adaptive image retrieval includes single-domain retrieval and cross-domain retrieval. Most of the existing image retrieval methods only focus on single-domain retrieval, whi…

cs.CV2019★ 9 cited

In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation

Ye Yuan, Wuyang Chen, Yang Yang +1

The comparative losses (typically, triplet loss) are appealing choices for learning person re-identification (ReID) features. However, the triplet loss is computationally much more…

cs.MM2017★ 65 cited

Cross-Domain Image Retrieval with Attention Modeling

Xin Ji, Wei Wang, Meihui Zhang +1

With the proliferation of e-commerce websites and the ubiquitousness of smart phones, cross-domain image retrieval using images taken by smart phones as queries to search products…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.