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Bo Yang

The Hong Kong Polytechnic University

23 papers hereh-index 245.3k citations35 works total

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

author position
  • sole author1
  • first author6
  • middle author13
  • last author3

Across the 23 of 23 papers where every author was matched, so the position is known.

fields
  • cs.CV19
  • cs.RO4
affiliations
  • The Hong Kong Polytechnic University
Homepage
same name
  • Bo Yang — 12 papers, h 30
  • Bo Yang — 11 papers
  • Bo Yang — 9 papers
  • Bo Yang — 8 papers, h 28
  • Bo Yang — 7 papers, h 13
  • Bo Yang — 7 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
20172022
most citedLearning Semantic Segmentation of Large-Scale Point Clouds with Random Sampling

224 citations · 309 across the 12 of their papers we have counts for

collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2021★ 1 cited

RadarLoc: Learning to Relocalize in FMCW Radar

Wei Wang, Pedro P. B. de Gusmo, Bo Yang +2

Relocalization is a fundamental task in the field of robotics and computer vision. There is considerable work in the field of deep camera relocalization, which directly estimates p…

cs.RO2020

Natural grasp intention recognition based on gaze fixation in human-robot interaction

Bo Yang, Jian Huang, Xiaolong Li +3

Eye movement is closely related to limb actions, so it can be used to infer movement intentions. More importantly, in some cases, eye movement is the only way for paralyzed and imp…

cs.RO2018

Towards A Deep Insight into Landmark-based Visual Place Recognition: Methodology and Practice

Bo Yang, Jun Li, Xiaosu Xu +1

In this paper, we address the problem of landmark-based visual place recognition. In the state-of-the-art method, accurate object proposal algorithms are first leveraged for genera…

cs.RO2018

Defo-Net: Learning Body Deformation using Generative Adversarial Networks

Zhihua Wang, Stefano Rosa, Linhai Xie +4

Modelling the physical properties of everyday objects is a fundamental prerequisite for autonomous robots. We present a novel generative adversarial network (Defo-Net), able to pre…

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