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researcher

Wei Liu

8 papers hereh-index 92.7k citations10 works total

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

author position
  • middle author2
  • last author5

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.LG1
same name
  • Wei Liu — 69 papers, h 37
  • Wei Liu — 43 papers, h 27
  • Wei Liu — 35 papers, h 46
  • Wei Liu — 32 papers, h 34
  • Wei Liu — 32 papers, h 12
  • Wei Liu — 26 papers

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
20162022
most citedCrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention

85 citations · 237 across the 8 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

cs.CV2021★ 85 cited

CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention

Wenxiao Wang, Lu Yao, Long Chen +4

Transformers have made great progress in dealing with computer vision tasks. However, existing vision transformers do not yet possess the ability of building the interactions among…

cs.LG2021★ 13 cited

Attacking Adversarial Attacks as A Defense

Boxi Wu, Heng Pan, Li Shen +6

It is well known that adversarial attacks can fool deep neural networks with imperceptible perturbations. Although adversarial training significantly improves model robustness, fai…

cs.CV2021★ 5 cited

Human-like Controllable Image Captioning with Verb-specific Semantic Roles

Long Chen, Zhihong Jiang, Jun Xiao +1

Controllable Image Captioning (CIC) -- generating image descriptions following designated control signals -- has received unprecedented attention over the last few years. To emulat…

cs.CV2021★ 61 cited

A Closer Look at Temporal Sentence Grounding in Videos: Dataset and Metric

Yitian Yuan, Xiaohan Lan, Xin Wang +3

Temporal Sentence Grounding in Videos (TSGV), i.e., grounding a natural language sentence which indicates complex human activities in a long and untrimmed video sequence, has recei…

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