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researcher

Yang Liu

10 papers hereh-index 9423 citations16 works total

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

author position
  • first author3
  • middle author6
  • last author1

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.LG2
  • cs.SD1
same name
  • Yang Liu — 129 papers, h 73
  • Yang Liu — 94 papers, h 65
  • Yang Liu — 41 papers, h 63
  • Yang Liu — 38 papers, h 23
  • Yang Liu — 35 papers, h 27
  • Yang Liu — 34 papers, h 39

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
20142021
most citedTransductive Unbiased Embedding for Zero-Shot Learning

29 citations · 68 across the 9 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CV2018★ 7 cited

A Deep Learning based Framework to Detect and Recognize Humans using Contactless Palmprints in the Wild

Yang Liu, Ajay Kumar

Contactless and online palmprint identfication offers improved user convenience, hygiene, user-security and is highly desirable in a range of applications. This technical report de…

cs.CV2018★ 5 cited

Color Constancy by GANs: An Experimental Survey

Partha Das, Anil S. Baslamisli, Yang Liu +2

In this paper, we formulate the color constancy task as an image-to-image translation problem using GANs. By conducting a large set of experiments on different datasets, an experim…

cs.LG2018★ 5 cited

Manifold Adversarial Learning

Shufei Zhang, Kaizhu Huang, Jianke Zhu +1

Recently proposed adversarial training methods show the robustness to both adversarial and original examples and achieve state-of-the-art results in supervised and semi-supervised…

cs.CV2018★ 29 cited

Transductive Unbiased Embedding for Zero-Shot Learning

Jie Song, Chengchao Shen, Yezhou Yang +2

Most existing Zero-Shot Learning (ZSL) methods have the strong bias problem, in which instances of unseen (target) classes tend to be categorized as one of the seen (source) classe…

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