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Jun Cheng

4 papers here

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

author position
  • middle author3
  • last author1

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

fields
  • cs.CV4
ORCID 0000-0003-1786-6188
same name
  • Jun Cheng — 14 papers
  • Jun Cheng — 7 papers
  • Jun Cheng — 7 papers, h 8
  • Jun Cheng — 6 papers, h 15
  • Jun Cheng — 4 papers
  • Jun Cheng — 2 papers, h 8

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 citedOn-the-fly Point Feature Representation for Point Clouds Analysis

8 citations · 10 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2024★ 8 cited

On-the-fly Point Feature Representation for Point Clouds Analysis

Jiangyi Wang, Zhongyao Cheng, Na Zhao +2

Point cloud analysis is challenging due to its unique characteristics of unorderness, sparsity and irregularity. Prior works attempt to capture local relationships by convolution o…

cs.CV2024★ 1 cited

Gaussian Mixture based Evidential Learning for Stereo Matching

Weide Liu, Xingxing Wang, Lu Wang +3

In this paper, we introduce a novel Gaussian mixture based evidential learning solution for robust stereo matching. Diverging from previous evidential deep learning approaches that…

cs.CV2024

OphNet: A Large-Scale Video Benchmark for Ophthalmic Surgical Workflow Understanding

Ming Hu, Peng Xia, Lin Wang +11

Surgical scene perception via videos is critical for advancing robotic surgery, telesurgery, and AI-assisted surgery, particularly in ophthalmology. However, the scarcity of divers…

cs.CV2024★ 1 cited

Learning Intra-view and Cross-view Geometric Knowledge for Stereo Matching

Rui Gong, Weide Liu, Zaiwang Gu +2

Geometric knowledge has been shown to be beneficial for the stereo matching task. However, prior attempts to integrate geometric insights into stereo matching algorithms have large…

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