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Long Zeng

4 papers here

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

author position
  • last author4

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

fields
  • cs.CV2
  • cs.RO2
ORCID 0000-0002-3090-6319
same name
  • Long Zeng — 7 papers
  • Long Zeng — 5 papers
  • Long Zeng — 3 papers
  • Long Zeng — 1 paper, h 7
  • Long Zeng — 1 paper
  • Long Zeng — 1 paper

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 citedFreehand Sketch Generation from Mechanical Components

12 citations · 13 across the 4 of their papers we have counts for

collaborators

4 papers

cs.RO2024

THUD++: Large-Scale Dynamic Indoor Scene Dataset and Benchmark for Mobile Robots

Zeshun Li, Fuhao Li, Wanting Zhang +4

Most existing mobile robotic datasets primarily capture static scenes, limiting their utility for evaluating robotic performance in dynamic environments. To address this, we presen…

cs.CV2024

2DGS-Room: Seed-Guided 2D Gaussian Splatting with Geometric Constrains for High-Fidelity Indoor Scene Reconstruction

Wanting Zhang, Haodong Xiang, Zhichao Liao +3

The reconstruction of indoor scenes remains challenging due to the inherent complexity of spatial structures and the prevalence of textureless regions. Recent advancements in 3D Ga…

cs.CV2024★ 12 cited

Freehand Sketch Generation from Mechanical Components

Zhichao Liao, Di Huang, Heming Fang +5

Drawing freehand sketches of mechanical components on multimedia devices for AI-based engineering modeling has become a new trend. However, its development is being impeded because…

cs.RO2024★ 1 cited

Mobile Robot Oriented Large-Scale Indoor Dataset for Dynamic Scene Understanding

Yifan Tang, Cong Tai, Fangxing Chen +5

Most existing robotic datasets capture static scene data and thus are limited in evaluating robots' dynamic performance. To address this, we present a mobile robot oriented large-s…

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