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researcher

Yang Wu

4 papers here

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV3
  • cs.LG1
ORCID 0000-0001-8010-6857
same name
  • Yang Wu — 4 papers
  • Yang Wu — 4 papers, h 24
  • Yang Wu — 2 papers
  • Yang Wu — 2 papers
  • Yang Wu — 2 papers
  • Yang Wu — 1 paper, h 12

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
20142020
most citedMultiple Object Tracking by Flowing and Fusing

29 citations · 42 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2020★ 29 cited

Multiple Object Tracking by Flowing and Fusing

Jimuyang Zhang, Sanping Zhou, Xin Chang +4

Most of Multiple Object Tracking (MOT) approaches compute individual target features for two subtasks: estimating target-wise motions and conducting pair-wise Re-Identification (Re…

cs.CV2019★ 4 cited

Generative Adversarial Network with Multi-Branch Discriminator for Cross-Species Image-to-Image Translation

Ziqiang Zheng, Zhibin Yu, Haiyong Zheng +3

Current approaches have made great progress on image-to-image translation tasks benefiting from the success of image synthesis methods especially generative adversarial networks (G…

cs.LG2019

FRAME Revisited: An Interpretation View Based on Particle Evolution

Xu Cai, Yang Wu, Guanbin Li +2

FRAME (Filters, Random fields, And Maximum Entropy) is an energy-based descriptive model that synthesizes visual realism by capturing mutual patterns from structural input signals.…

cs.CV2014★ 9 cited

Collaborative Representation for Classification, Sparse or Non-sparse?

Yang Wu, Vansteenberge Jarich, Masayuki Mukunoki +1

Sparse representation based classification (SRC) has been proved to be a simple, effective and robust solution to face recognition. As it gets popular, doubts on the necessity of e…

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