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researcher

Jun Liu

4 papers hereh-index 5100 citations6 works total

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

author position
  • first author1
  • middle author3

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

fields
  • cs.CV2
  • cs.CG1
  • cs.GR1
same name
  • Jun Liu — 89 papers, h 101
  • Jun Liu — 24 papers, h 8
  • Jun Liu — 21 papers, h 5
  • Jun Liu — 20 papers, h 11
  • Jun Liu — 15 papers, h 7
  • Jun Liu — 15 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 citedMiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation

51 citations · 76 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2020★ 8 cited

Deep Learning based Monocular Depth Prediction: Datasets, Methods and Applications

Qing Li, Jiasong Zhu, Jun Liu +4

Estimating depth from RGB images can facilitate many computer vision tasks, such as indoor localization, height estimation, and simultaneous localization and mapping (SLAM). Recent…

cs.CV2020★ 51 cited

MiniNet: An extremely lightweight convolutional neural network for real-time unsupervised monocular depth estimation

Jun Liu, Qing Li, Rui Cao +2

Predicting depth from a single image is an attractive research topic since it provides one more dimension of information to enable machines to better perceive the world. Recently,…

cs.GR2020

Gaussian Curvature Filter on 3D Meshes

Wenming Tang, Yuanhao Gong, Kanglin Liu +4

Minimizing the Gaussian curvature of meshes can play a fundamental role in 3D mesh processing. However, there is a lack of computationally efficient and robust Gaussian curvature o…

cs.CG2019★ 17 cited

HLO: Half-kernel Laplacian Operator for Surface Smoothing

Wei Pan, Xuequan Lu, Yuanhao Gong +4

This paper presents a simple yet effective method for feature-preserving surface smoothing. Through analyzing the differential property of surfaces, we show that the conventional d…

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