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Jun Zhou

6 papers here

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

author position
  • first author2
  • middle author4

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.GR1
  • cs.LG1
same name
  • Jun Zhou — 28 papers, h 26
  • Jun Zhou — 20 papers
  • Jun Zhou — 20 papers
  • Jun Zhou — 17 papers, h 20
  • Jun Zhou — 16 papers, h 22
  • Jun Zhou — 11 papers, h 20

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
20182022
most citedNormal Estimation for 3D Point Clouds via Local Plane Constraint and Multi-scale Selection

5 citations · 9 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2022★ 3 cited

Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective

Jiawei Zhang, Xiang Wang, Xiao Bai +7

Despite recent stereo matching networks achieving impressive performance given sufficient training data, they suffer from domain shifts and generalize poorly to unseen domains. We…

cs.CV2021★ 1 cited

Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching

Jun Zhou, Wei Jin, Mingjie Wang +3

This paper presents an effective normal estimation method adopting multi-patch stitching for an unstructured point cloud. The majority of learning-based approaches encode a local p…

cs.CV2020

Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting

Mingjie Wang, Hao Cai, Jun Zhou +1

Crowd counting is an important vision task, which faces challenges on continuous scale variation within a given scene and huge density shift both within and across images. These ch…

cs.CV2018

Semi-dense Stereo Matching using Dual CNNs

Wendong Mao, Mingjie Wang, Jun Zhou +1

A robust solution for semi-dense stereo matching is presented. It utilizes two CNN models for computing stereo matching cost and performing confidence-based filtering, respectively…

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