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researcher

Wenbin Li

University of Bath

26 papers hereh-index 292.8k citations92 works total

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

author position
  • first author15
  • middle author9
  • last author2

Across the 26 of 26 papers where every author was matched, so the position is known.

fields
  • cs.CV18
  • cs.RO5
  • cs.GR1
  • cs.HC1
  • cs.LG1
affiliations
  • University of Bath
Homepage
same name
  • Wenbin Li — 23 papers, h 19
  • Wenbin Li — 19 papers, h 30
  • Wenbin Li — 17 papers, h 6
  • Wenbin Li — 9 papers, h 4
  • Wenbin Li — 8 papers, h 7
  • Wenbin Li — 7 papers, h 4

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
20142022
most citedAutonomous Aerial Delivery Vehicles, a Survey of Techniques on how Aerial Package Delivery is Achieved

84 citations · 354 across the 25 of their papers we have counts for

collaborators
Showing 2017Show all

4 papers · 1 filter

cs.RO2017★ 3 cited

Acquiring Target Stacking Skills by Goal-Parameterized Deep Reinforcement Learning

Wenbin Li, Jeannette Bohg, Mario Fritz

Understanding physical phenomena is a key component of human intelligence and enables physical interaction with previously unseen environments. In this paper, we study how an artif…

cs.GR2017★ 21 cited

Automatic Structural Scene Digitalization

Rui Tang, Yuhan Wang, Darren Cosker +1

In this paper, we present an automatic system for the analysis and labeling of structural scenes, floor plan drawings in Computer-aided Design (CAD) format. The proposed system app…

cs.CV2017

Learn to Model Motion from Blurry Footages

Wenbin Li, Da Chen, Zhihan Lv +2

It is difficult to recover the motion field from a real-world footage given a mixture of camera shake and other photometric effects. In this paper we propose a hybrid framework by…

cs.CV2017★ 49 cited

WebCaricature: a benchmark for caricature recognition

Jing Huo, Wenbin Li, Yinghuan Shi +2

Studying caricature recognition is fundamentally important to understanding of face perception. However, little research has been conducted in the computer vision community, largel…

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