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ORCIDJun Zhou 0023
Person information
- affiliation: Dalian Maritime University, Information Science and Technology College, China
- affiliation: Dalian University of Technology, School of Mathematical Sciences, China
Other persons with the same name
- Jun Zhou — disambiguation page
- Jun Zhou 0001
![[0000-0001-5822-8233]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5822-8233")
— Griffith University, School of Information and Communication Technology, Nathan, QLD, Australia (and 1 more) - Jun Zhou 0002 — Broadcom Limited, Irvine, CA, USA (and 1 more)
- Jun Zhou 0003 — Donghua University, College of Information Sciences and Technology, Shanghai, China (and 1 more)
- Jun Zhou 0004 — Southwest University, School of Mathematics and Statistics, Chongqing, China
- Jun Zhou 0005 — Yangtze Normal University, School of Mathematics and Computer Science, Chongqing, China
- Jun Zhou 0006 — Chang'an University, School of Earth Sciences and Resources, Xi'an, China (and 1 more)
- Jun Zhou 0007 — Shanghai Jiao Tong University, Institute of Image Communication and Information Processing, China
- Jun Zhou 0008 — University of California, San Diego, USA
- Jun Zhou 0009 — University of Stuttgart, Germany
- Jun Zhou 0010 — Hohai University, College of Energy and Electrical Engineering, Nanjing, China (and 1 more)
- Jun Zhou 0011 — Ant Financial Services Group, AI Department (Beijing), China
- Jun Zhou 0012 — Zhongyuan Institute of Technology, College of Electronic Information, Zhengzhou, China
- Jun Zhou 0013 — University of Maryland, Earth System Science Interdisciplinary Center, College Park, MD, USA (and 1 more)
- Jun Zhou 0014 — National University of Singapore, School of Computing, Singapore
- Jun Zhou 0015 — Nanjing Agricultural University, College of Engineering, China
- Jun Zhou 0016 — Anhui University, School of Computer Science and Technology, Anhui Engineering Laboratory of IoT Security Technologies, Hefei, China
- Jun Zhou 0017 — University of Electronic Science and Technology of China, Smart ICs and Systems Research Group, Chengdu, China (and 2 more)
- Jun Zhou 0018 — East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, China (and 1 more)
- Jun Zhou 0019 — Hunan Normal University, College of Mathematics and Statistics, Changsha, China (and 1 more)
- Jun Zhou 0020 — Northwestern Polytechnical University, Institute of Precision Guidance and Control / School of Astronautics, Xi'an, China
- Jun Zhou 0021 — Dalian University of Technology, School of Control Science and Engineering, China
- Jun Zhou 0022 — Chinese Academy of Sciences, Institute of Computing Technology, State Key Laboratory of Computer Architecture, Beijing, China
- Jun Zhou 0024 — Chinese Academy of Sciences, Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Beijing, China
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Journal Articles
- 2024
[j17]Nannan Li, Xinyuan Li, Jun Zhou, Dong Jiang, Jian Liu, Hong Qin:
GeoHi-GNN: Geometry-aware hierarchical graph representation learning for normal estimation. Comput. Aided Geom. Des. 114: 102390 (2024)- [j16]Jun Zhou, Yaoshun Li, Mingjie Wang, Nannan Li, Zhiyang Li, Weixiao Wang:
Robust point cloud normal estimation via multi-level critical point aggregation. Vis. Comput. 40(10): 7369-7384 (2024) - 2023
- [j15]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: 103533 (2023) - [j14]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: 2074-2084 (2023) - 2022
- [j13]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: 103121 (2022) - [j12]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): 921-929 (2022) - [j11]Yuqi Zhang, Yuanpeng Liu, Qiaoyun Wu, Jun Zhou, Xiaoxi Gong, Jun Wang:
EANet: Edge-Attention 6D Pose Estimation Network for Texture-Less Objects. IEEE Trans. Instrum. Meas. 71: 1-13 (2022) - [j10]Xiuping Liu, Hua Huang, Weiming Wang, Jun Zhou:
Multi-view 3D shape style transformation. Vis. Comput. 38(2): 669-684 (2022) - 2021
- [j9]Mingjie Wang, Hao Cai, Jun Zhou, Minglun Gong:
Interlayer and intralayer scale aggregation for scale-invariant crowd counting. Neurocomputing 441: 128-137 (2021) - [j8]Bin Liu, Weiming Wang, Jun Zhou, Bo Li, Xiuping Liu:
Detail-Preserving Shape Unfolding. Sensors 21(4): 1187 (2021) - 2020
- [j7]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: 102916 (2020) - [j6]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: 101901 (2020) - [j5]Qian Xie, Dawei Li, Zhenghao Yu, Jun Zhou, Jun Wang:
Detecting Trees in Street Images via Deep Learning With Attention Module. IEEE Trans. Instrum. Meas. 69(8): 5395-5406 (2020) - 2019
- [j4]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: 108-118 (2019) - 2018
- [j3]Jun Zhou, Xiuping Liu, Junjie Cao, Weiming Wang, Baocai Yin:
Deep mesh labeling via learned semantic boundary guidance. Comput. Aided Des. 101: 72-81 (2018) - [j2]Jun Zhou, Weiming Wang, Jie Zhang, Baocai Yin, Xiuping Liu:
3D shape segmentation using multiple random walkers. J. Comput. Appl. Math. 329: 353-363 (2018) - 2017
- [j1]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): 129-139 (2017)
Conference and Workshop Papers
- 2020
- [c3]Mingjie Wang, Hao Cai, Jun Zhou, Minglun Gong:
Stochastic Multi-Scale Aggregation Network for Crowd Counting. ICASSP 2020: 2008-2012 - 2019
- [c2]Mingjie Wang, Jun Zhou, Wendong Mao, Minglun Gong:
Multi-Scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets. WACV 2019: 321-330 - [c1]Wendong Mao, Mingjie Wang, Jun Zhou, Minglun Gong:
Semi-Dense Stereo Matching Using Dual CNNs. WACV 2019: 1588-1597
Informal and Other Publications
- 2024
- [i12]Wei Jin, Jun Zhou, Nannan Li, Haba Madeline, Xiuping Liu:
Asymmetrical Siamese Network for Point Clouds Normal Estimation. CoRR abs/2406.09681 (2024) - [i11]Jun Zhou, Yaoshun Li, Hongchen Tan, Mingjie Wang, Nannan Li, Xiuping Liu:
Refining 3D Point Cloud Normal Estimation via Sample Selection. CoRR abs/2406.18541 (2024) - 2023
- [i10]Wei Song, Jun Zhou, Mingjie Wang, Hongchen Tan, Nannan Li, Xiuping Liu:
Fine-grained Text and Image Guided Point Cloud Completion with CLIP Model. CoRR abs/2308.08754 (2023) - 2022
- [i9]Mingjie Wang, Jun Zhou, Hao Cai, Minglun Gong:
CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP. CoRR abs/2203.08219 (2022) - 2021
- [i8]Jun Zhou, Wei Jin, Mingjie Wang, Xiuping Liu, Zhiyang Li, Zhaobin Liu:
Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching. CoRR abs/2103.16066 (2021) - [i7]Jun Zhou, Wei Jin, Mingjie Wang, Xiuping Liu, Zhiyang Li, Zhaobin Liu:
Improvement of Normal Estimation for PointClouds via Simplifying Surface Fitting. CoRR abs/2104.10369 (2021) - 2020
- [i6]Mingjie Wang, Hao Cai, Jun Zhou, Minglun Gong:
Interlayer and Intralayer Scale Aggregation for Scale-invariant Crowd Counting. CoRR abs/2005.11943 (2020) - [i5]Yuanpeng Liu, Jun Zhou, Yuqi Zhang, Chao Ding, Jun Wang:
3DPVNet: Patch-level 3D Hough Voting Network for 6D Pose Estimation. CoRR abs/2009.06887 (2020) - [i4]Mingjie Wang, Hao Cai, Xian-Feng Han, Jun Zhou, Minglun Gong:
STNet: Scale Tree Network with Multi-level Auxiliator for Crowd Counting. CoRR abs/2012.10189 (2020) - 2019
- [i3]Jun Zhou, Hua Huang, Bin Liu, Xiuping Liu:
Normal Estimation for 3D Point Clouds via Local Plane Constraint and Multi-scale Selection. CoRR abs/1910.08537 (2019) - 2018
- [i2]Wendong Mao, Mingjie Wang, Jun Zhou, Minglun Gong:
Semi-dense Stereo Matching using Dual CNNs. CoRR abs/1810.01369 (2018) - [i1]Mingjie Wang, Jun Zhou, Wendong Mao, Minglun Gong:
Multi-scale Convolution Aggregation and Stochastic Feature Reuse for DenseNets. CoRR abs/1810.01373 (2018)
Coauthor Index
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