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Yanwei Fu

83 papers hereh-index 5717k citations207 works total

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

author position
  • first author9
  • middle author49
  • last author24

Across the 82 of 83 papers where every author was matched, so the position is known.

fields
  • cs.CV67
  • cs.LG6
  • cs.RO4
  • eess.IV3
  • cs.AI1
  • cs.MM1
same name
  • Yanwei Fu — 20 papers, h 7
  • Yanwei Fu — 16 papers, h 6
  • Yanwei Fu — 14 papers, h 3
  • Yanwei Fu — 13 papers, h 8
  • Yanwei Fu — 12 papers
  • Yanwei Fu — 12 papers, h 9

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
20152023
most citedTransductive Multi-view Zero-Shot Learning

551 citations · 954 across the 57 of their papers we have counts for

collaborators
Showing 2015Show all

4 papers · 1 filter

cs.LG2015★ 1 cited

Transductive Multi-class and Multi-label Zero-shot Learning

Yanwei Fu, Yongxin Yang, Timothy M. Hospedales +2

Recently, zero-shot learning (ZSL) has received increasing interest. The key idea underpinning existing ZSL approaches is to exploit knowledge transfer via an intermediate-level se…

cs.LG2015★ 8 cited

Transductive Multi-label Zero-shot Learning

Yanwei Fu, Yongxin Yang, Tim Hospedales +2

Zero-shot learning has received increasing interest as a means to alleviate the often prohibitive expense of annotating training data for large scale recognition problems. These me…

cs.CV2015★ 28 cited

Learning Classifiers from Synthetic Data Using a Multichannel Autoencoder

Xi Zhang, Yanwei Fu, Andi Zang +2

We propose a method for using synthetic data to help learning classifiers. Synthetic data, even is generated based on real data, normally results in a shift from the distribution o…

cs.CV2015★ 551 cited

Transductive Multi-view Zero-Shot Learning

Yanwei Fu, Timothy M. Hospedales, Tao Xiang +1

Most existing zero-shot learning approaches exploit transfer learning via an intermediate-level semantic representation shared between an annotated auxiliary dataset and a target d…

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