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Hao Zhang

4 papers hereh-index 5104 citations7 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.CV1
  • cs.GR1
  • cs.LG1
  • cs.RO1
same name
  • Hao Zhang — 23 papers, h 12
  • Hao Zhang — 18 papers, h 6
  • Hao Zhang — 15 papers, h 38
  • Hao Zhang — 13 papers, h 4
  • Hao Zhang — 13 papers, h 5
  • Hao Zhang — 13 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

most citedInteraction-Driven Active 3D Reconstruction with Object Interiors

7 citations · 7 across the 3 of their papers we have counts for

collaborators

4 papers

cs.RO2025

Real-Time Spatial Reasoning by Mobile Robots for Reconstruction and Navigation in Dynamic LiDAR Scenes

Pengdi Huang, Mingyang Wang, Huan Tian +3

Our brain has an inner global positioning system which enables us to sense and navigate 3D spaces in real time. Can mobile robots replicate such a biological feat in a dynamic envi…

cs.GR2025

ArcPro: Architectural Programs for Structured 3D Abstraction of Sparse Points

Qirui Huang, Runze Zhang, Kangjun Liu +3

We introduce ArcPro, a novel learning framework built on architectural programs to recover structured 3D abstractions from highly sparse and low-quality point clouds. Specifically,…

cs.CV2023★ 7 cited

Interaction-Driven Active 3D Reconstruction with Object Interiors

Zihao Yan, Fubao Su, Mingyang Wang +3

We introduce an active 3D reconstruction method which integrates visual perception, robot-object interaction, and 3D scanning to recover both the exterior and interior, i.e., unexp…

cs.LG2023

Neural Packing: from Visual Sensing to Reinforcement Learning

Juzhan Xu, Minglun Gong, Hao Zhang +2

We present a novel learning framework to solve the transport-and-packing (TAP) problem in 3D. It constitutes a full solution pipeline from partial observations of input objects via…

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