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Zeyu Huang

5 papers hereh-index 5319 citations12 works total

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

author position
  • first author2
  • middle author2

Across the 4 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.RO1
same name
  • Zeyu Huang — 15 papers, h 11
  • Zeyu Huang — 6 papers, h 2
  • Zeyu Huang — 4 papers, h 5
  • Zeyu Huang — 2 papers, h 2
  • Zeyu Huang — 2 papers, h 1
  • Zeyu Huang — 2 papers, h 5

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
20202024
most citedGraph2Plan: Learning Floorplan Generation from Layout Graphs

251 citations · 251 across the 5 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024

FRI-Net: Floorplan Reconstruction via Room-wise Implicit Representation

Honghao Xu, Juzhan Xu, Zeyu Huang +3

In this paper, we introduce a novel method called FRI-Net for 2D floorplan reconstruction from 3D point cloud. Existing methods typically rely on corner regression or box regressio…

cs.CV2024

Spatial and Surface Correspondence Field for Interaction Transfer

Zeyu Huang, Honghao Xu, Haibin Huang +3

In this paper, we introduce a new method for the task of interaction transfer. Given an example interaction between a source object and an agent, our method can automatically infer…

cs.CV2022

ARO-Net: Learning Implicit Fields from Anchored Radial Observations

Yizhi Wang, Zeyu Huang, Ariel Shamir +3

We introduce anchored radial observations (ARO), a novel shape encoding for learning implicit field representation of 3D shapes that is category-agnostic and generalizable amid sig…

cs.CV2020★ 251 cited

Graph2Plan: Learning Floorplan Generation from Layout Graphs

Ruizhen Hu, Zeyu Huang, Yuhan Tang +3

We introduce a learning framework for automated floorplan generation which combines generative modeling using deep neural networks and user-in-the-loop designs to enable human user…

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