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Liang Peng

4 papers here

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

author position
  • middle author1

Across the 1 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • stat.ME1
ORCID 0000-0002-9831-2787
same name
  • Liang Peng — 4 papers, h 18
  • Liang Peng — 2 papers
  • Liang Peng — 1 paper
  • Liang Peng — 1 paper
  • Liang Peng — 1 paper
  • Liang Peng — 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 citedMonoNeRD: NeRF-like Representations for Monocular 3D Object Detection

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2023★ 1 cited

MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection

Junkai Xu, Liang Peng, Haoran Cheng +5

In the field of monocular 3D detection, it is common practice to utilize scene geometric clues to enhance the detector's performance. However, many existing works adopt these clues…

cs.CV2023

Learning Occupancy for Monocular 3D Object Detection

Liang Peng, Junkai Xu, Haoran Cheng +6

Monocular 3D detection is a challenging task due to the lack of accurate 3D information. Existing approaches typically rely on geometry constraints and dense depth estimates to fac…

stat.ME2023

Diagnostic Tests Before Modeling Longitudinal Actuarial Data

Yinhuan Li, Tsz Chai Fung, Liang Peng +1

In non-life insurance, it is essential to understand the serial dynamics and dependence structure of the longitudinal insurance data before using them. Existing actuarial literatur…

cs.CV2022

DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection

Liang Peng, Xiaopei Wu, Zheng Yang +2

Monocular 3D detection has drawn much attention from the community due to its low cost and setup simplicity. It takes an RGB image as input and predicts 3D boxes in the 3D space. T…

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