Low-rank image completion with entropy features. - Junjie Cao 001; Jun Zhou 023; Xiuping Liu; Weiming Wang 003; Pingping Tao; Jun Wang 039 (Mach. Vis. Appl., 2017)

Deep mesh labeling via learned semantic boundary guidance. - Jun Zhou 023; Xiuping Liu; Junjie Cao 001; Weiming Wang 003; Baocai Yin (Comput. Aided Des., 2018)

3D shape segmentation using multiple random walkers. - Jun Zhou 023; Weiming Wang 003; Jie Zhang 056; Baocai Yin; Xiuping Liu (J. Comput. Appl. Math., 2018)

Semi-Dense Stereo Matching Using Dual CNNs. - Wendong Mao; Mingjie Wang 002; Jun Zhou 023; Minglun Gong (WACV, 2019)

Multi-Scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets. - Mingjie Wang 002; Jun Zhou 023; Wendong Mao; Minglun Gong (WACV, 2019)

Feature preserving GAN and multi-scale feature enhancement for domain adaption person Re-identification. - Xiuping Liu; Hongchen Tan; Xin Tong 001; Junjie Cao 001; Jun Zhou 023 (Neurocomputing, 2019)

Stochastic Multi-Scale Aggregation Network for Crowd Counting. - Mingjie Wang 002; Hao Cai 004; Jun Zhou 023; Minglun Gong (ICASSP, 2020)

Normal Estimation for 3D Point Clouds via Local Plane Constraint and Multi-scale Selection. - Jun Zhou 023; Hua Huang; Bin Liu 057; Xiuping Liu (Comput. Aided Des., 2020)

3D grasp saliency analysis via deep shape correspondence. - Li-na Zhang; Shi-yao Wang; Jun Zhou 023; Jian Liu; Chun-Gang Zhu (Comput. Aided Geom. Des., 2020)

3DPVNet: Patch-level 3D Hough Voting Network for 6D Pose Estimation. - Yuanpeng Liu; Jun Zhou 023; Yuqi Zhang; Chao Ding; Jun Wang 039 (CoRR, 2020)

Detecting Trees in Street Images via Deep Learning With Attention Module. - Qian Xie 001; Dawei Li 011; Zhenghao Yu; Jun Zhou 023; Jun Wang 039 (IEEE Trans. Instrum. Meas., 2020)

Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching. - Jun Zhou 023; Wei Jin; Mingjie Wang 002; Xiuping Liu; Zhiyang Li 001; Zhaobin Liu (CoRR, 2021)

Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting. - Jun Zhou 023; Wei Jin; Mingjie Wang 002; Xiuping Liu; Zhiyang Li 001; Zhaobin Liu (CoRR, 2021)

Interlayer and intralayer scale aggregation for scale-invariant crowd counting. - Mingjie Wang 002; Hao Cai 004; Jun Zhou 023; Minglun Gong (Neurocomputing, 2021)

Detail-Preserving Shape Unfolding. - Bin Liu 057; Weiming Wang 003; Jun Zhou 023; Bo Li 023; Xiuping Liu (Sensors, 2021)

Fast and Accurate Normal Estimation for Point Clouds Via Patch Stitching. - Jun Zhou 023; Wei Jin; Mingjie Wang 002; Xiuping Liu; Zhiyang Li 001; Zhaobin Liu (Comput. Aided Des., 2022)

CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP. - Mingjie Wang 002; Jun Zhou 023; Hao Cai 004; Minglun Gong (CoRR, 2022)

Latent Tangent Space Representation for Normal Estimation. - Junjie Cao 001; Hairui Zhu; Yunpeng Bai; Jun Zhou 023; Jinshan Pan; Zhixun Su (IEEE Trans. Ind. Electron., 2022)

EANet: Edge-Attention 6D Pose Estimation Network for Texture-Less Objects. - Yuqi Zhang; Yuanpeng Liu; Qiaoyun Wu; Jun Zhou 023; Xiaoxi Gong; Jun Wang 039 (IEEE Trans. Instrum. Meas., 2022)

Multi-view 3D shape style transformation. - Xiuping Liu; Hua Huang; Weiming Wang 003; Jun Zhou 023 (Vis. Comput., 2022)

STNet: Scale Tree Network With Multi-Level Auxiliator for Crowd Counting. - Mingjie Wang 002; Hao Cai 004; Xian-Feng Han; Jun Zhou 023; Minglun Gong (IEEE Trans. Multim., 2023)

Improvement of normal estimation for point clouds via simplifying surface fitting. - Jun Zhou 023; Wei Jin; Mingjie Wang 002; Xiuping Liu; Zhiyang Li 001; Zhaobin Liu (Comput. Aided Des., 2023)

GeoHi-GNN: Geometry-aware hierarchical graph representation learning for normal estimation. - Nannan Li 002; Xinyuan Li; Jun Zhou 023; Dong Jiang; Jian Liu; Hong Qin 001 (Comput. Aided Geom. Des., 2024)

Robust and feature-preserving point denoising via adaptive scale selection mechanism. - Nannan Li 002; Zhe Ma; Chengfei Li; Yuli Liu; Bo Li 023; Jun Zhou 023 (Commun. Inf. Syst., 2024)

Refining 3D Point Cloud Normal Estimation via Sample Selection. - Jun Zhou 023; Yaoshun Li; Hongchen Tan; Mingjie Wang 002; Nannan Li 002; Xiuping Liu (CoRR, 2024)

Robust point cloud normal estimation via multi-level critical point aggregation. - Jun Zhou 023; Yaoshun Li; Mingjie Wang 002; Nannan Li 002; Zhiyang Li 001; Weixiao Wang (Vis. Comput., 2024)

High-fidelity 3D Gaussian inpainting: Preserving multi-view consistency and photorealistic details. - Jun Zhou 023; Dinghao Li; Nannan Li 002; Mingjie Wang 002 (Comput. Graph., 2025)

Asymmetrical siamese network for point clouds normal estimation. - Wei Jin; Jun Zhou 023; Nannan Li 002; Haba Madeline; Xiuping Liu (Expert Syst. Appl., 2025)

Fine-grained text and image guided point cloud completion with CLIP model. - Jun Zhou 023; Wei Song; Mingjie Wang 002; Hongchen Tan; Nannan Li 002; Xiuping Liu (Neurocomputing, 2025)

Enhanced normal estimation of point clouds via fine-grained geometric information learning. - Wei Jin; Jun Zhou 023; Mingjie Wang 002; Nannan Li 002; Weixiao Wang; Xiuping Liu (Mach. Vis. Appl., 2025)