Jun Zhou

39 papers A 2Misc 1Journal 36
YearRankTypeTitle / Venue / Authors
2026 J jnl
Global frequency-aware multi-scale feature learning for point cloud normal estimation.
Eng. Appl. Artif. Intell.
Wei Jin, Jun Zhou, Nannan Li, Xiuping Liu
2025 J jnl
Asymmetrical siamese network for point clouds normal estimation.
Expert Syst. Appl.
Wei Jin, Jun Zhou, Nannan Li, Haba Madeline, Xiuping Liu
2025 J jnl
Enhanced normal estimation of point clouds via fine-grained geometric information learning.
Mach. Vis. Appl.
Wei Jin, Jun Zhou, Mingjie Wang, Nannan Li, Weixiao Wang, Xiuping Liu
2025 J jnl
Fine-grained text and image guided point cloud completion with CLIP model.
Neurocomputing
Jun Zhou, Wei Song, Mingjie Wang, Hongchen Tan, Nannan Li, Xiuping Liu
2025 J jnl
High-fidelity 3D Gaussian Inpainting: preserving multi-view consistency and photorealistic details.
CoRR
Jun Zhou, Dinghao Li, Nannan Li, Mingjie Wang
2025 J jnl
High-fidelity 3D Gaussian inpainting: Preserving multi-view consistency and photorealistic details.
Comput. Graph.
Jun Zhou, Dinghao Li, Nannan Li, Mingjie Wang
2024 J jnl
Asymmetrical Siamese Network for Point Clouds Normal Estimation.
CoRR
Wei Jin, Jun Zhou, Nannan Li, Haba Madeline, Xiuping Liu
2024 J jnl
GeoHi-GNN: Geometry-aware hierarchical graph representation learning for normal estimation.
Comput. Aided Geom. Des.
Nannan Li, Xinyuan Li, Jun Zhou, Dong Jiang, Jian Liu, Hong Qin
2024 J jnl
Refining 3D Point Cloud Normal Estimation via Sample Selection.
CoRR
Jun Zhou, Yaoshun Li, Hongchen Tan, Mingjie Wang, Nannan Li, Xiuping Liu
2024 J jnl
Robust and feature-preserving point denoising via adaptive scale selection mechanism.
Commun. Inf. Syst.
Nannan Li, Zhe Ma, Chengfei Li, Yuli Liu, Bo Li, Jun Zhou
2024 J jnl
Robust point cloud normal estimation via multi-level critical point aggregation.
Vis. Comput.
Jun Zhou, Yaoshun Li, Mingjie Wang, Nannan Li, Zhiyang Li, Weixiao Wang
2023 J jnl
Fine-grained Text and Image Guided Point Cloud Completion with CLIP Model.
CoRR
Wei Song, Jun Zhou, Mingjie Wang, Hongchen Tan, Nannan Li, Xiuping Liu
2023 J jnl
Improvement of normal estimation for point clouds via simplifying surface fitting.
Comput. Aided Des.
Jun Zhou, Wei Jin, Mingjie Wang, Xiuping Liu, Zhiyang Li, Zhaobin Liu
2023 J jnl
STNet: Scale Tree Network With Multi-Level Auxiliator for Crowd Counting.
IEEE Trans. Multim.
Mingjie Wang, Hao Cai, Xian-Feng Han, Jun Zhou, Minglun Gong
2022 J jnl
CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP.
CoRR
Mingjie Wang, Jun Zhou, Hao Cai, Minglun Gong
2022 J jnl
EANet: Edge-Attention 6D Pose Estimation Network for Texture-Less Objects.
IEEE Trans. Instrum. Meas.
Yuqi Zhang, Yuanpeng Liu, Qiaoyun Wu, Jun Zhou, Xiaoxi Gong, Jun Wang
2022 J jnl
Fast and Accurate Normal Estimation for Point Clouds Via Patch Stitching.
Comput. Aided Des.
Jun Zhou, Wei Jin, Mingjie Wang, Xiuping Liu, Zhiyang Li, Zhaobin Liu
2022 J jnl
Latent Tangent Space Representation for Normal Estimation.
IEEE Trans. Ind. Electron.
Junjie Cao, Hairui Zhu, Yunpeng Bai, Jun Zhou, Jinshan Pan, Zhixun Su
2022 J jnl
Multi-view 3D shape style transformation.
Vis. Comput.
Xiuping Liu, Hua Huang, Weiming Wang, Jun Zhou
2021 J jnl
Detail-Preserving Shape Unfolding.
Sensors
Bin Liu, Weiming Wang, Jun Zhou, Bo Li, Xiuping Liu
2021 J jnl
Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching.
CoRR
Jun Zhou, Wei Jin, Mingjie Wang, Xiuping Liu, Zhiyang Li, Zhaobin Liu
2021 J jnl
Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting.
CoRR
Jun Zhou, Wei Jin, Mingjie Wang, Xiuping Liu, Zhiyang Li, Zhaobin Liu
2021 J jnl
Interlayer and intralayer scale aggregation for scale-invariant crowd counting.
Neurocomputing
Mingjie Wang, Hao Cai, Jun Zhou, Minglun Gong
2020 J jnl
3D grasp saliency analysis via deep shape correspondence.
Comput. Aided Geom. Des.
Li-na Zhang, Shi-yao Wang, Jun Zhou, Jian Liu, Chun-Gang Zhu
2020 J jnl
3DPVNet: Patch-level 3D Hough Voting Network for 6D Pose Estimation.
CoRR
Yuanpeng Liu, Jun Zhou, Yuqi Zhang, Chao Ding, Jun Wang
2020 J jnl
Detecting Trees in Street Images via Deep Learning With Attention Module.
IEEE Trans. Instrum. Meas.
Qian Xie, Dawei Li, Zhenghao Yu, Jun Zhou, Jun Wang
2020 J jnl
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting.
CoRR
Mingjie Wang, Hao Cai, Jun Zhou, Minglun Gong
2020 J jnl
Normal Estimation for 3D Point Clouds via Local Plane Constraint and Multi-scale Selection.
Comput. Aided Des.
Jun Zhou, Hua Huang, Bin Liu, Xiuping Liu
2020 J jnl
STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting.
CoRR
Mingjie Wang, Hao Cai, Xian-Feng Han, Jun Zhou, Minglun Gong
2020 Misc conf
Stochastic Multi-Scale Aggregation Network for Crowd Counting.
ICASSP
Mingjie Wang, Hao Cai, Jun Zhou, Minglun Gong
2019 J jnl
Feature preserving GAN and multi-scale feature enhancement for domain adaption person Re-identification.
Neurocomputing
Xiuping Liu, Hongchen Tan, Xin Tong, Junjie Cao, Jun Zhou
2019 A conf
Multi-Scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets.
WACV
Mingjie Wang, Jun Zhou, Wendong Mao, Minglun Gong
2019 J jnl
Normal Estimation for 3D Point Clouds via Local Plane Constraint and Multi-scale Selection.
CoRR
Jun Zhou, Hua Huang, Bin Liu, Xiuping Liu
2019 A conf
Semi-Dense Stereo Matching Using Dual CNNs.
WACV
Wendong Mao, Mingjie Wang, Jun Zhou, Minglun Gong
2018 J jnl
3D shape segmentation using multiple random walkers.
J. Comput. Appl. Math.
Jun Zhou, Weiming Wang, Jie Zhang, Baocai Yin, Xiuping Liu
2018 J jnl
Deep mesh labeling via learned semantic boundary guidance.
Comput. Aided Des.
Jun Zhou, Xiuping Liu, Junjie Cao, Weiming Wang, Baocai Yin
2018 J jnl
Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets.
CoRR
Mingjie Wang, Jun Zhou, Wendong Mao, Minglun Gong
2018 J jnl
Semi-dense Stereo Matching using Dual CNNs.
CoRR
Wendong Mao, Mingjie Wang, Jun Zhou, Minglun Gong
2017 J jnl
Low-rank image completion with entropy features.
Mach. Vis. Appl.
Junjie Cao, Jun Zhou, Xiuping Liu, Weiming Wang, Pingping Tao, Jun Wang