◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Junzhe Zhang

4 papers hereh-index 5909 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.CV4
same name
  • Junzhe Zhang — 14 papers, h 14
  • Junzhe Zhang — 11 papers, h 5
  • Junzhe Zhang — 5 papers, h 6
  • Junzhe Zhang — 2 papers, h 2
  • Junzhe Zhang — 2 papers, h 6
  • Junzhe Zhang — 2 papers, h 4

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 citedDensity-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion

69 citations · 83 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2023

Variational Relational Point Completion Network for Robust 3D Classification

Liang Pan, Xinyi Chen, Zhongang Cai +4

Real-scanned point clouds are often incomplete due to viewpoint, occlusion, and noise, which hampers 3D geometric modeling and perception. Existing point cloud completion methods t…

cs.CV2023★ 10 cited

Generative Diffusion Prior for Unified Image Restoration and Enhancement

Ben Fei, Zhaoyang Lyu, Liang Pan +5

Existing image restoration methods mostly leverage the posterior distribution of natural images. However, they often assume known degradation and also require supervised training,…

cs.CV2021★ 69 cited

Density-aware Chamfer Distance as a Comprehensive Metric for Point Cloud Completion

Tong Wu, Liang Pan, Junzhe Zhang +3

Chamfer Distance (CD) and Earth Mover's Distance (EMD) are two broadly adopted metrics for measuring the similarity between two point sets. However, CD is usually insensitive to mi…

cs.CV2021★ 4 cited

Variational Relational Point Completion Network

Liang Pan, Xinyi Chen, Zhongang Cai +4

Real-scanned point clouds are often incomplete due to viewpoint, occlusion, and noise. Existing point cloud completion methods tend to generate global shape skeletons and hence lac…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.