Jun Zhou

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 25

Top Topics

Scale Invariant

Sample Selection

Surface Fitting

Top Venues

Comput. Aided Des.

Publications

Jun Zhou, Yaoshun Li, Hongchen Tan, Mingjie Wang, Nannan Li, Xiuping Liu
Refining 3D Point Cloud Normal Estimation via Sample Selection. CoRR (2024)
Jun Zhou, Wei Jin, Mingjie Wang, Xiuping Liu, Zhiyang Li, Zhaobin Liu
Improvement of normal estimation for point clouds via simplifying surface fitting. Comput. Aided Des. 161 (2023)
Mingjie Wang, Hao Cai, Xian-Feng Han, Jun Zhou, Minglun Gong
STNet: Scale Tree Network With Multi-Level Auxiliator for Crowd Counting. IEEE Trans. Multim. 25 (2023)
Mingjie Wang, Jun Zhou, Hao Cai, Minglun Gong
CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP. CoRR (2022)
Jun Zhou, Wei Jin, Mingjie Wang, Xiuping Liu, Zhiyang Li, Zhaobin Liu
Fast and Accurate Normal Estimation for Point Clouds Via Patch Stitching. Comput. Aided Des. 142 (2022)
Junjie Cao, Hairui Zhu, Yunpeng Bai, Jun Zhou, Jinshan Pan, Zhixun Su
Latent Tangent Space Representation for Normal Estimation. IEEE Trans. Ind. Electron. 69 (1) (2022)
Xiuping Liu, Hua Huang, Weiming Wang, Jun Zhou
Multi-view 3D shape style transformation. Vis. Comput. 38 (2) (2022)
Bin Liu, Weiming Wang, Jun Zhou, Bo Li, Xiuping Liu
Detail-Preserving Shape Unfolding. Sensors 21 (4) (2021)
Jun Zhou, Wei Jin, Mingjie Wang, Xiuping Liu, Zhiyang Li, Zhaobin Liu
Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching. CoRR (2021)
Jun Zhou, Wei Jin, Mingjie Wang, Xiuping Liu, Zhiyang Li, Zhaobin Liu
Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting. CoRR (2021)
Mingjie Wang, Hao Cai, Jun Zhou, Minglun Gong
Interlayer and intralayer scale aggregation for scale-invariant crowd counting. Neurocomputing 441 (2021)
Li-na Zhang, Shi-yao Wang, Jun Zhou, Jian Liu, Chun-Gang Zhu
3D grasp saliency analysis via deep shape correspondence. Comput. Aided Geom. Des. 81 (2020)
Mingjie Wang, Hao Cai, Xian-Feng Han, Jun Zhou, Minglun Gong
STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting. CoRR (2020)
Jun Zhou, Hua Huang, Bin Liu, Xiuping Liu
Normal Estimation for 3D Point Clouds via Local Plane Constraint and Multi-scale Selection. Comput. Aided Des. 129 (2020)
Mingjie Wang, Hao Cai, Jun Zhou, Minglun Gong
Stochastic Multi-Scale Aggregation Network for Crowd Counting. ICASSP (2020)
Mingjie Wang, Hao Cai, Jun Zhou, Minglun Gong
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting. CoRR (2020)
Jun Zhou, Hua Huang, Bin Liu, Xiuping Liu
Normal Estimation for 3D Point Clouds via Local Plane Constraint and Multi-scale Selection. CoRR (2019)
Xiuping Liu, Hongchen Tan, Xin Tong, Junjie Cao, Jun Zhou
Feature preserving GAN and multi-scale feature enhancement for domain adaption person Re-identification. Neurocomputing 364 (2019)
Wendong Mao, Mingjie Wang, Jun Zhou, Minglun Gong
Semi-Dense Stereo Matching Using Dual CNNs. WACV (2019)
Mingjie Wang, Jun Zhou, Wendong Mao, Minglun Gong
Multi-Scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets. WACV (2019)
Jun Zhou, Weiming Wang, Jie Zhang, Baocai Yin, Xiuping Liu
3D shape segmentation using multiple random walkers. J. Comput. Appl. Math. 329 (2018)
Jun Zhou, Xiuping Liu, Junjie Cao, Weiming Wang, Baocai Yin
Deep mesh labeling via learned semantic boundary guidance. Comput. Aided Des. 101 (2018)
Wendong Mao, Mingjie Wang, Jun Zhou, Minglun Gong
Semi-dense Stereo Matching using Dual CNNs. CoRR (2018)
Mingjie Wang, Jun Zhou, Wendong Mao, Minglun Gong
Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets. CoRR (2018)
Junjie Cao, Jun Zhou, Xiuping Liu, Weiming Wang, Pingping Tao, Jun Wang
Low-rank image completion with entropy features. Mach. Vis. Appl. 28 (1-2) (2017)