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researcher

Rui Wu

4 papers hereh-index 5450 citations8 works total

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

author position
  • middle author4

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

fields
  • cs.CV4
same name
  • Rui Wu — 10 papers, h 2
  • Rui Wu — 8 papers, h 1
  • Rui Wu — 6 papers, h 2
  • Rui Wu — 5 papers, h 26
  • Rui Wu — 5 papers, h 4
  • Rui Wu — 5 papers, h 3

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

most citedYou Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection

195 citations · 210 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2021

HybridGazeNet: Geometric model guided Convolutional Neural Networks for gaze estimation

Shaobo Guo, Xiao Jiang, Zhizhong Su +2

As a critical cue for understanding human intention, human gaze provides a key signal for Human-Computer Interaction(HCI) applications. Appearance-based gaze estimation, which dire…

cs.CV2021★ 1 cited

What Makes for Hierarchical Vision Transformer?

Yuxin Fang, Xinggang Wang, Rui Wu +1

Recent studies indicate that hierarchical Vision Transformer with a macro architecture of interleaved non-overlapped window-based self-attention \& shifted-window operation is able…

cs.CV2021★ 195 cited

You Only Look at One Sequence: Rethinking Transformer in Vision through Object Detection

Yuxin Fang, Bencheng Liao, Xinggang Wang +5

Can Transformer perform 2D object- and region-level recognition from a pure sequence-to-sequence perspective with minimal knowledge about the 2D spatial structure? To answer this q…

cs.CV2019★ 14 cited

Exploiting Offset-guided Network for Pose Estimation and Tracking

Rui Zhang, Zheng Zhu, Peng Li +4

Human pose estimation has witnessed a significant advance thanks to the development of deep learning. Recent human pose estimation approaches tend to directly predict the location…

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