Jie Zhang

According to our database, Jie Zhang authored at least 23 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Multi-Sample Consensus Driven Unsupervised Normal Estimation for 3D Point Clouds.

Jie Zhang, Minghui Nie, Junjie Cao, Jian Liu, Ligang Liu

CoRR, 2023

2022

Geometry Guided Deep Surface Normal Estimation.

Jie Zhang, Junjie Cao, Hairui Zhu, Dong-Ming Yan, Xiuping Liu

Comput. Aided Des., 2022

2021

Feature interpolation convolution for point cloud analysis.

Jie Zhang, Jian Liu, Xiuping Liu, Jiang Wei, Junjie Cao, Kewei Tang

Comput. Graph., 2021

2020

Point Cloud Normal Estimation by Fast Guided Least Squares Representation.

Jie Zhang, Jiahui Duan, Kewei Tang, Junjie Cao, Xiuping Liu

IEEE Access, 2020

Visual Tracking Jointly With Online and Offline Learning.

Aihong Shen, Shengjing Tian, Guoqiang Tian, Jie Zhang, Xiuping Liu

IEEE Access, 2020

Deep Classification Consistency for Person Re-Identification.

Yuhao Bian, Xiuping Liu, Shengjing Tian, Hongchen Tan, Jie Zhang

IEEE Access, 2020

2019

Multi-Normal Estimation via Pair Consistency Voting.

Jie Zhang, Junjie Cao, Xiuping Liu, He Chen, Bo Li, Ligang Liu

IEEE Trans. Vis. Comput. Graph., 2019

Subspace segmentation with a large number of subspaces using infinity norm minimization.

Kewei Tang, Zhixun Su, Yang Liu, Wei Jiang, Jie Zhang, Xiyan Sun

Pattern Recognit., 2019

Bayesian rank penalization.

Kewei Tang, Zhixun Su, Jie Zhang, Lihong Cui, Wei Jiang, Xiaonan Luo, Xiyan Sun

Neural Networks, 2019

Robust subspace learning-based low-rank representation for manifold clustering.

Kewei Tang, Zhixun Su, Wei Jiang, Jie Zhang, Xiyan Sun, Xiaonan Luo

Neural Comput. Appl., 2019

Superpixels for large dataset subspace clustering.

Kewei Tang, Zhixun Su, Wei Jiang, Jie Zhang

Neural Comput. Appl., 2019

2018

Online Low-Rank Representation Learning for Joint Multi-Subspace Recovery and Clustering.

Bo Li, Risheng Liu, Junjie Cao, Jie Zhang, Yu-Kun Lai, Xiuping Liu

IEEE Trans. Image Process., 2018

3D shape segmentation using multiple random walkers.

Jun Zhou, Weiming Wang, Jie Zhang, Baocai Yin, Xiuping Liu

J. Comput. Appl. Math., 2018

Normal estimation via shifted neighborhood for point cloud.

Junjie Cao, He Chen, Jie Zhang, Yujiao Li, Xiuping Liu, Changqing Zou

J. Comput. Appl. Math., 2018

Robust Semisupervised Nonnegative Local Coordinate Factorization for Data Representation.

Wei Jiang, Qian Lv, Chenggang Yan, Kewei Tang, Jie Zhang

Complex., 2018

2017

Fabric defect inspection using prior knowledge guided least squares regression.

Junjie Cao, Jie Zhang, Zhijie Wen, Nannan Wang, Xiuping Liu

Multim. Tools Appl., 2017

2016

Subspace segmentation by dense block and sparse representation.

Kewei Tang, David B. Dunson, Zhixun Su, Risheng Liu, Jie Zhang, Jiangxin Dong

Neural Networks, 2016

Consistent Sparse Representation for Video-Based Face Recognition.

Xiuping Liu, Aihong Shen, Jie Zhang, Junjie Cao, Yanfang Zhou

Proceedings of the Computer Vision - ACCV 2016, 2016

2015

Low-rank 3D mesh segmentation and labeling with structure guiding.

Xiuping Liu, Jie Zhang, Risheng Liu, Bo Li, Jun Wang, Junjie Cao

Comput. Graph., 2015

Quality point cloud normal estimation by guided least squares representation.

Xiuping Liu, Jie Zhang, Junjie Cao, Bo Li, Ligang Liu

Comput. Graph., 2015

A Smooth Approximation Algorithm of Rank-Regularized Optimization Problem and Its Applications.

Bo Li, Lianbao Jin, Chengcai Leng, Chunyuan Lu, Jie Zhang

Proceedings of the Image and Graphics - 8th International Conference, 2015

2014

Structure-Constrained Low-Rank Representation.

Kewei Tang, Risheng Liu, Zhixun Su, Jie Zhang

IEEE Trans. Neural Networks Learn. Syst., 2014

2013

Point cloud normal estimation via low-rank subspace clustering.

Jie Zhang, Junjie Cao, Xiuping Liu, Jun Wang, Jian Liu, Xiquan Shi

Comput. Graph., 2013