Jun Zhou

Orcid: 0000-0001-9316-9785

Affiliations:

Dalian Maritime University, Information Science and Technology College, China
Dalian University of Technology, School of Mathematical Sciences, China

According to our database¹, Jun Zhou authored at least 19 papers between 2017 and 2023.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

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PhD thesis

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Bibliography

2023

Improvement of normal estimation for point clouds via simplifying surface fitting.

[BibT_eX]

[DOI]

Comput. Aided Des., August, 2023

STNet: Scale Tree Network With Multi-Level Auxiliator for Crowd Counting.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

2022

Multi-view 3D shape style transformation.

[BibT_eX]

[DOI]

Vis. Comput., 2022

Latent Tangent Space Representation for Normal Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2022

CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP.

[BibT_eX]

[DOI]

CoRR, 2022

Fast and Accurate Normal Estimation for Point Clouds Via Patch Stitching.

[BibT_eX]

[DOI]

Comput. Aided Des., 2022

2021

Detail-Preserving Shape Unfolding.

[BibT_eX]

[DOI]

Sensors, 2021

Interlayer and intralayer scale aggregation for scale-invariant crowd counting.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting.

[BibT_eX]

[DOI]

CoRR, 2021

Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching.

[BibT_eX]

[DOI]

CoRR, 2021

2020

3D grasp saliency analysis via deep shape correspondence.

[BibT_eX]

[DOI]

Comput. Aided Geom. Des., 2020

Normal Estimation for 3D Point Clouds via Local Plane Constraint and Multi-scale Selection.

[BibT_eX]

[DOI]

Comput. Aided Des., 2020

Stochastic Multi-Scale Aggregation Network for Crowd Counting.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Feature preserving GAN and multi-scale feature enhancement for domain adaption person Re-identification.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Multi-Scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Semi-Dense Stereo Matching Using Dual CNNs.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

2018

3D shape segmentation using multiple random walkers.

[BibT_eX]

[DOI]

J. Comput. Appl. Math., 2018

Deep mesh labeling via learned semantic boundary guidance.

[BibT_eX]

[DOI]

Comput. Aided Des., 2018

2017

Low-rank image completion with entropy features.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2017

Jun Zhou

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Bibliography

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