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Bo Yang

The Hong Kong Polytechnic University

28 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 author18
  • last author3

Across the 28 of 28 papers where every author was matched, so the position is known.

fields
  • cs.CV22
  • cs.RO6
affiliations
  • The Hong Kong Polytechnic University
Homepage
same name
  • Bo Yang — 23 papers, h 8
  • Bo Yang — 22 papers, h 30
  • Bo Yang — 20 papers, h 23
  • Bo Yang — 19 papers, h 8
  • Bo Yang — 15 papers, h 13
  • Bo Yang — 11 papers, h 14

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
20172023
most citedLearning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds

262 citations · 1.1k across the 28 of their papers we have counts for

collaborators
Showing 2022Show all

4 papers · 1 filter

cs.CV2022★ 10 cited

OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds

Ziyang Song, Bo Yang

In this paper, we study the problem of 3D object segmentation from raw point clouds. Unlike all existing methods which usually require a large amount of human annotations for full…

cs.CV2022★ 4 cited

Promising or Elusive? Unsupervised Object Segmentation from Real-world Single Images

Yafei Yang, Bo Yang

In this paper, we study the problem of unsupervised object segmentation from single images. We do not introduce a new algorithm, but systematically investigate the effectiveness of…

cs.CV2022★ 9 cited

RangeUDF: Semantic Surface Reconstruction from 3D Point Clouds

Bing Wang, Zhengdi Yu, Bo Yang +5

We present RangeUDF, a new implicit representation based framework to recover the geometry and semantics of continuous 3D scene surfaces from point clouds. Unlike occupancy fields…

cs.CV2022★ 4 cited

SensatUrban: Learning Semantics from Urban-Scale Photogrammetric Point Clouds

Qingyong Hu, Bo Yang, Sheikh Khalid +3

With the recent availability and affordability of commercial depth sensors and 3D scanners, an increasing number of 3D (i.e., RGBD, point cloud) datasets have been publicized to fa…

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