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ORCIDJun Zhou 0001
Person information
- affiliation: Griffith University, School of Information and Communication Technology, Nathan, QLD, Australia
- affiliation (PhD 2006): University of Alberta, Edmonton, Canada
Other persons with the same name
- Jun Zhou — disambiguation page
- Jun Zhou 0002
![[0000-0003-0919-6073]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0919-6073")
— 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 0023 — Dalian Maritime University, Information Science and Technology College, China (and 1 more)
- Jun Zhou 0024 — Chinese Academy of Sciences, Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics, Beijing, China
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2020 – today
- 2023
[j105]Lei Zhou, Yang Liu, Pengcheng Zhang, Xiao Bai, Lin Gu, Jun Zhou, Yazhou Yao, Tatsuya Harada, Jin Zheng, Edwin R. Hancock:
Information bottleneck and selective noise supervision for zero-shot learning. Mach. Learn. 112(7): 2239-2261 (2023)- [j104]Mingjie Wang, Jun Zhou, Hao Cai, Minglun Gong:
CrowdMLP: Weakly-supervised crowd counting via multi-granularity MLP. Pattern Recognit. 144: 109830 (2023) - [j103]Jinze Huang, Xiaohan Yu, Dong An, Yaoguang Wei, Xiao Bai, Jin Zheng, Chen Wang, Jun Zhou:
Learning consistent region features for lifelong person re-identification. Pattern Recognit. 144: 109837 (2023) - [j102]Lei Zhou, Yang Liu, Xiao Bai, Na Li, Xiaohan Yu, Jun Zhou, Edwin R. Hancock:
Attribute subspaces for zero-shot learning. Pattern Recognit. 144: 109869 (2023) - [j101]Zhenqiu Shu, Zigao Liu, Jun Zhou, Songze Tang, Zhengtao Yu, Xiaojun Wu:
Spatial-Spectral Split Attention Residual Network for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 419-430 (2023) - [j100]Wei Li, Zengfu Hou, Jun Zhou, Ran Tao:
SiamBAG: Band Attention Grouping-Based Siamese Object Tracking Network for Hyperspectral Videos. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j99]Xin Li, Feng Xu, Fan Liu, Xin Lyu, Yao Tong, Zhennan Xu, Jun Zhou:
A Synergistical Attention Model for Semantic Segmentation of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j98]Shan Ma, Lei Tong, Jun Zhou, Jing Yu, Chuangbai Xiao:
Self-Supervised Spectral-Spatial Graph Prototypical Network for Few-Shot Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j97]Jing Wang, Jun Zhou, Xinwen Liu:
Toward Universal Representation Learning for Multidomain Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j96]Fengchao Xiong, Jiantao Zhou, Jun Zhou, Jianfeng Lu, Yuntao Qian:
Multitask Sparse Representation Model-Inspired Network for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j95]Zhuanfeng Li, Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian:
Learning a Deep Ensemble Network With Band Importance for Hyperspectral Object Tracking. IEEE Trans. Image Process. 32: 2901-2914 (2023) - [c122]Fengchao Xiong, Jun Zhou, Zhuang Zhao, Yuntao Qian:
Iterative Refinement Network for Hyperspectral Image Denoising. ICME 2023: 2753-2758 - [i21]Yajie Sun, Ali Zia, Vivien Rolland, Charissa Yu, Jun Zhou:
Spectral 3D Computer Vision - A Review. CoRR abs/2302.08054 (2023) - [i20]Sai Yang, Fan Liu, Delong Chen, Jun Zhou:
Few-shot Classification via Ensemble Learning with Multi-Order Statistics. CoRR abs/2305.00454 (2023) - [i19]Fan Liu, Delong Chen, Zhangqingyun Guan, Xiaocong Zhou, Jiale Zhu, Jun Zhou:
RemoteCLIP: A Vision Language Foundation Model for Remote Sensing. CoRR abs/2306.11029 (2023) - [i18]Jiahe Li, Jiawei Zhang, Xiao Bai, Jun Zhou, Lin Gu:
Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis. CoRR abs/2307.09323 (2023) - [i17]Yajie Sun, Ali Zia, Jun Zhou:
High Spectral Spatial Resolution Synthetic HyperSpectral Dataset form multi-source fusion. CoRR abs/2309.00005 (2023) - 2022
- [j94]Fan Liu, Fei Wang, Yu Wang, Jun Zhou, Feng Xu:
Cycle-autoencoder based block-sparse joint representation for single sample face recognition. Comput. Electr. Eng. 101: 108003 (2022) - [j93]Pengcheng Zhang, Lei Zhou, Xiao Bai, Chen Wang, Jun Zhou, Liang Zhang, Jin Zheng:
Learning multi-view visual correspondences with self-supervision. Displays 72: 102160 (2022) - [j92]Xiao Bai, Jun Zhou, Xin Ning, Chen Wang:
3D data computation and visualization. Displays 73: 102169 (2022) - [j91]Fan Liu, Delong Chen, Jun Zhou, Feng Xu:
A review of driver fatigue detection and its advances on the use of RGB-D camera and deep learning. Eng. Appl. Artif. Intell. 116: 105399 (2022) - [j90]Xiyou Fu, Sen Jia, Meng Xu, Jun Zhou, Qingquan Li:
Sparsity Constrained Fusion of Hyperspectral and Multispectral Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j89]Chen Wang, Xiang Wang, Jiawei Zhang, Liang Zhang, Xiao Bai, Xin Ning, Jun Zhou, Edwin R. Hancock:
Uncertainty estimation for stereo matching based on evidential deep learning. Pattern Recognit. 124: 108498 (2022) - [j88]Adnan Farooq, Xiuping Jia, Jiankun Hu, Jun Zhou:
Transferable Convolutional Neural Network for Weed Mapping With Multisensor Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j87]Xiyou Fu, Sen Jia, Meng Xu, Jun Zhou, Qingquan Li:
Fusion of Hyperspectral and Multispectral Images Accounting for Localized Inter-Image Changes. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j86]Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian:
Nonlocal Spatial-Spectral Neural Network for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j85]Zheng Gao, Lei Tong, Jun Zhou, Bin Qian, Jing Yu, Chuangbai Xiao:
Stochastic Depth Residual Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j84]Zhi Gong, Lei Tong, Jun Zhou, Bin Qian, Lijuan Duan, Chuangbai Xiao:
Superpixel Spectral-Spatial Feature Fusion Graph Convolution Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j83]Zengfu Hou, Wei Li, Jun Zhou, Ran Tao:
Spatial-Spectral Weighted and Regularized Tensor Sparse Correlation Filter for Object Tracking in Hyperspectral Videos. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j82]Sen Jia, Xiaomei Liu, Meng Xu, Qiao Yan, Jun Zhou, Xiuping Jia, Qingquan Li:
Gradient Feature-Oriented 3-D Domain Adaptation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j81]Mohammad Nikzad, Yongsheng Gao, Jun Zhou:
An Attention-Based Lattice Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j80]Yuntao Qian, Honglin Zhu, Ling Chen, Jun Zhou:
Hyperspectral Image Restoration With Self-Supervised Learning: A Two-Stage Training Approach. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j79]Chenhong Sui, Jun Zhou, Chang Li, Qiang Zheng, Jie Feng, Xiaoguang Mei, Jing Wang:
Unsupervised Hyperspectral Band Selection With Multigraph Integrated Embedding and Robust Self-Contained Regression. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j78]Fengchao Xiong, Jun Zhou, Qinling Zhao, Jianfeng Lu, Yuntao Qian:
MAC-Net: Model-Aided Nonlocal Neural Network for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j77]Fengchao Xiong, Jun Zhou, Shuyin Tao, Jianfeng Lu, Yuntao Qian:
SNMF-Net: Learning a Deep Alternating Neural Network for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j76]Shuyu Zhang, Meng Xu, Jun Zhou, Sen Jia:
Unsupervised Spatial-Spectral CNN-Based Feature Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j75]Suhad Lateef Al-Khafaji, Jun Zhou, Xiao Bai, Yuntao Qian, Alan Wee-Chung Liew:
Spectral-Spatial Boundary Detection in Hyperspectral Images. IEEE Trans. Image Process. 31: 499-512 (2022) - [j74]Fengchao Xiong, Jun Zhou, Shuyin Tao, Jianfeng Lu, Jiantao Zhou, Yuntao Qian:
SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising. IEEE Trans. Image Process. 31: 5469-5483 (2022) - [j73]Cheng Yan, Guansong Pang, Xiao Bai, Changhong Liu, Xin Ning, Lin Gu, Jun Zhou:
Beyond Triplet Loss: Person Re-Identification With Fine-Grained Difference-Aware Pairwise Loss. IEEE Trans. Multim. 24: 1665-1677 (2022) - [j72]Zewen Li, Fan Liu, Wenjie Yang, Shouheng Peng, Jun Zhou:
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects. IEEE Trans. Neural Networks Learn. Syst. 33(12): 6999-7019 (2022) - [c121]Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock:
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. CVPR 2022: 12991-13001 - [c120]Yang Liu, Lei Zhou, Pengcheng Zhang, Xiao Bai, Lin Gu, Xiaohan Yu, Jun Zhou, Edwin R. Hancock:
Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification. ECCV (24) 2022: 57-73 - [c119]Miaohua Zhang, Yongsheng Gao, Jun Zhou:
A Generalized Kernel Risk Sensitive Loss for Robust Two-Dimensional Singular Value Decomposition. ICASSP 2022: 1910-1914 - [c118]Fengchao Xiong, Minchao Ye, Jun Zhou, Jianfeng Lu, Yuntao Qian:
Multitask Sparse Neural Network for Hyperspectral Image Denoising. ICASSP 2022: 2799-2803 - [c117]Zhuanfeng Li, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian:
Material-Guided Siamese Fusion Network for Hyperspectral Object Tracking. ICASSP 2022: 2809-2813 - [c116]Jue Zhang, Xiuping Jia, Jun Zhou, Jiankun Hu:
Learning Uncertainty-Aware Label Transition for Weakly Supervised Solar Panel Mapping with Aerial Images. IGARSS 2022: 1181-1184 - [c115]Fengchao Xiong, Minchao Ye, Jun Zhou, Yuntao Qian:
Spatial-Spectral Convolutional Sparse Neural Network for Hyperspectral Image Denoising. IGARSS 2022: 1225-1228 - [c114]Sheng Zeng, Changhong Liu, Jun Zhou, Yong Chen, Aiwen Jiang, Hanxi Li:
Learning Hierarchical Semantic Correspondences for Cross-Modal Image-Text Retrieval. ICMR 2022: 239-248 - [c113]Dong Bao, Gervase Tuxworth, Jun Zhou:
Similarity-Based Hyperspectral Band Selection Using Deep Reinforcement Learning. WHISPERS 2022: 1-5 - [e2]Aleksandra Gruca, Caleb Robinson, Naoto Yokoya, Jun Zhou, Pedram Ghamisi:
Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), Vienna, Austria, July 25th, 2022. CEUR Workshop Proceedings 3207, CEUR-WS.org 2022 [contents] - [i16]Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock:
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. CoRR abs/2203.10887 (2022) - 2021
- [j71]M. Daud Abdullah Asif, Jing Wang, Yongsheng Gao, Jun Zhou:
Composite description based on color vector quantization and visual primary features for CBIR tasks. Multim. Tools Appl. 80(24): 33409-33427 (2021) - [j70]Miaohua Zhang, Yongsheng Gao, Jun Zhou:
A unified weight learning and low-rank regression model for robust complex error modeling. Pattern Recognit. 120: 108147 (2021) - [j69]Chen Wang, Xiao Bai, Xiang Wang, Xianglong Liu, Jun Zhou, Xinyu Wu, Hongdong Li, Dacheng Tao:
Self-Supervised Multiscale Adversarial Regression Network for Stereo Disparity Estimation. IEEE Trans. Cybern. 51(10): 4770-4783 (2021) - [j68]Sen Jia, Zhangwei Zhan, Meng Zhang, Meng Xu, Qiang Huang, Jun Zhou, Xiuping Jia:
Multiple Feature-Based Superpixel-Level Decision Fusion for Hyperspectral and LiDAR Data Classification. IEEE Trans. Geosci. Remote. Sens. 59(2): 1437-1452 (2021) - [j67]Sen Jia, Zhijie Lin, Meng Xu, Qiang Huang, Jun Zhou, Xiuping Jia, Qingquan Li:
A Lightweight Convolutional Neural Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(5): 4150-4163 (2021) - [j66]Xiyou Fu, Sen Jia, Lina Zhuang, Meng Xu, Jun Zhou, Qingquan Li:
Hyperspectral Anomaly Detection via Deep Plug-and-Play Denoising CNN Regularization. IEEE Trans. Geosci. Remote. Sens. 59(11): 9553-9568 (2021) - [j65]Sen Jia, Qingqing Zhao, Jiayue Zhuang, Dingding Tang, Yaqian Long, Meng Xu, Jun Zhou, Qingquan Li:
Flexible Gabor-Based Superpixel-Level Unsupervised LDA for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(12): 10394-10409 (2021) - [j64]Ali Zia, Jun Zhou, Yongsheng Gao:
Exploring Chromatic Aberration and Defocus Blur for Relative Depth Estimation From Monocular Hyperspectral Image. IEEE Trans. Image Process. 30: 4357-4370 (2021) - [j63]Meng Lv, Wei Li, Tianhong Chen, Jun Zhou, Ran Tao:
Discriminant Tensor-Based Manifold Embedding for Medical Hyperspectral Imagery. IEEE J. Biomed. Health Informatics 25(9): 3517-3528 (2021) - [j62]Litao Yu, Yongsheng Gao, Jun Zhou, Jian Zhang:
Parameter-Efficient Deep Neural Networks With Bilinear Projections. IEEE Trans. Neural Networks Learn. Syst. 32(9): 4075-4085 (2021) - [c112]Yang Liu, Lei Zhou, Xiao Bai, Yifei Huang, Lin Gu, Jun Zhou, Tatsuya Harada:
Goal-Oriented Gaze Estimation for Zero-Shot Learning. CVPR 2021: 3794-3803 - [c111]Fereshteh Nayyeri, Jun Zhou:
Multi-Resolution ResNet for Road and Bridge Crack Detection. DICTA 2021: 1-8 - [c110]Fengchao Xiong, Jun Zhou, Minchao Ye, Jianfeng Lu, Yuntao Qian:
NMF-SAE: An Interpretable Sparse Autoencoder for Hyperspectral Unmixing. ICASSP 2021: 1865-1869 - [c109]Guanyiman Fu, Fengchao Xiong, Shuyin Tao, Jianfeng Lu, Jun Zhou, Yuntao Qian:
Learning a Model-Based Deep Hyperspectral Denoiser from a Single Noisy Hyperspectral Image. IGARSS 2021: 4131-4134 - [c108]Mohammad Nikzad, Yongsheng Gao, Jun Zhou:
Attention-based Pyramid Dilated Lattice Network for Blind Image Denoising. IJCAI 2021: 931-937 - [c107]Dong Bao, Jun Zhou, Shamsul Arafin Bhuiyan, Ali Zia, Rebecca Ford, Yongsheng Gao:
Early Detection of Sugarcane Smut Disease in Hyperspectral Images. IVCNZ 2021: 1-6 - [c106]Zhuanfeng Li, Xinhai Ye, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian:
Spectral-Spatial-Temporal Attention Network for Hyperspectral Tracking. WHISPERS 2021: 1-5 - [e1]Changwen Chen, Helen Huang, Jun Zhou, Tatsuya Harada, Jianfei Cai, Wu Liu, Dong Xu:
MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1 - 3, 2021. ACM 2021, ISBN 978-1-4503-8607-4 [contents] - [i15]Yang Liu, Lei Zhou, Xiao Bai, Yifei Huang, Lin Gu, Jun Zhou, Tatsuya Harada:
Goal-Oriented Gaze Estimation for Zero-Shot Learning. CoRR abs/2103.03433 (2021) - 2020
- [j61]Tian Hu, Albert I. J. M. van Dijk, Luigi J. Renzullo, Zhihong Xu, Jie He, Siyuan Tian, Jun Zhou, Hua Li:
On agricultural drought monitoring in Australia using Himawari-8 geostationary thermal infrared observations. Int. J. Appl. Earth Obs. Geoinformation 91: 102153 (2020) - [j60]Zongjie Ma, Abdul Sattar, Jun Zhou, Qingliang Chen, Kaile Su:
Dropout with Tabu Strategy for Regularizing Deep Neural Networks. Comput. J. 63(7): 1031-1038 (2020) - [j59]Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou, Edwin R. Hancock:
Learning binary code for fast nearest subspace search. Pattern Recognit. 98 (2020) - [j58]Xinhai Ye, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian:
ℱ3-Net: Feature Fusion and Filtration Network for Object Detection in Optical Remote Sensing Images. Remote. Sens. 12(24): 4027 (2020) - [j57]Farah Jahan, Jun Zhou, Mohammad Awrangjeb, Yongsheng Gao:
Inverse Coefficient of Variation Feature and Multilevel Fusion Technique for Hyperspectral and LiDAR Data Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 367-381 (2020) - [j56]Lei Tong, Jun Zhou, Bin Qian, Jing Yu, Chuangbai Xiao:
Adaptive Graph Regularized Multilayer Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 434-447 (2020) - [j55]Lei Zhou, Xueni Zhang, Jianbo Wang, Xiao Bai, Lei Tong, Liang Zhang, Jun Zhou, Edwin R. Hancock:
Subspace Structure Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4257-4270 (2020) - [j54]Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian:
Nonconvex Nonseparable Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 6088-6100 (2020) - [j53]Sen Jia, Xianglong Deng, Meng Xu, Jun Zhou, Xiuping Jia:
Superpixel-Level Weighted Label Propagation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(7): 5077-5091 (2020) - [j52]Yuntao Qian, Fengchao Xiong, Qipeng Qian, Jun Zhou:
Spectral Mixture Model Inspired Network Architectures for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 58(10): 7418-7434 (2020) - [j51]Fengchao Xiong, Jun Zhou, Yuntao Qian:
Material Based Object Tracking in Hyperspectral Videos. IEEE Trans. Image Process. 29: 3719-3733 (2020) - [j50]Yanyang Gu, Zongyuan Ge, C. Paul Bonnington, Jun Zhou:
Progressive Transfer Learning and Adversarial Domain Adaptation for Cross-Domain Skin Disease Classification. IEEE J. Biomed. Health Informatics 24(5): 1379-1393 (2020) - [c105]Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip K. Paliwal, Fanhua Shang:
Deep Residual-Dense Lattice Network for Speech Enhancement. AAAI 2020: 8552-8559 - [c104]Xinhai Ye, Fengchao Xiong, Jianfeng Lu, Haifeng Zhao, Jun Zhou:
M2-Net: A Multi-scale Multi-level Feature Enhanced Network for Object Detection in Optical Remote Sensing Images. DICTA 2020: 1-8 - [c103]Lei Zhou, Liang Zhang, Xiao Bai, Jun Zhou:
Matrix Classifier On Dynamic Functional Connectivity For Mci Identification. ICIP 2020: 325-329 - [c102]Zhuanfeng Li, Fengchao Xiong, Jun Zhou, Jing Wang, Jianfeng Lu, Yuntao Qian:
BAE-Net: A Band Attention Aware Ensemble Network for Hyperspectral Object Tracking. ICIP 2020: 2106-2110 - [c101]Lei Zhou, Xiao Bai, Liang Zhang, Jun Zhou, Edwin R. Hancock:
Fast Subspace Clustering Based on the Kronecker Product. ICPR 2020: 1558-1565 - [c100]Hui Tang, Bin Wang, Jun Zhou, Yongsheng Gao:
DE-Net: Dilated Encoder Network for Automated Tongue Segmentation. ICPR 2020: 2575-2581 - [c99]Chen Wang, Jun Zhou, Chengyuan Xu, Xiao Bai:
A Deep Object Detection Method for Pineapple Fruit and Flower Recognition in Cluttered Background. ICPRAI 2020: 218-227 - [c98]Fengchao Xiong, Kun Qian, Jianfeng Lu, Jun Zhou, Yuntao Qian:
Nonlocal Low-Rank Nonnegative Tensor Factorization for Hyperspectral Unmixing. IGARSS 2020: 2157-2160 - [i14]Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip K. Paliwal, Fanhua Shang:
Deep Residual-Dense Lattice Network for Speech Enhancement. CoRR abs/2002.12794 (2020) - [i13]Cheng Yan, Guansong Pang, Xiao Bai, Jun Zhou, Lin Gu:
Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss. CoRR abs/2009.10295 (2020) - [i12]Litao Yu, Yongsheng Gao, Jun Zhou, Jian Zhang:
Parameter Efficient Deep Neural Networks with Bilinear Projections. CoRR abs/2011.01391 (2020) - [i11]Litao Yu, Yongsheng Gao, Jun Zhou, Jian Zhang, Qiang Wu:
Multi-layer Feature Aggregation for Deep Scene Parsing Models. CoRR abs/2011.02572 (2020) - [i10]Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian:
SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising. CoRR abs/2012.01829 (2020)
2010 – 2019
- 2019
- [j49]Tian Hu, Hua Li, Biao Cao, Albert I. J. M. van Dijk, Luigi J. Renzullo, Zhihong Xu, Jun Zhou, Yongming Du, Qinhuo Liu:
Influence of emissivity angular variation on land surface temperature retrieved using the generalized split-window algorithm. Int. J. Appl. Earth Obs. Geoinformation 82 (2019) - [j48]Fereshteh Nayyeri, Lei Hou, Jun Zhou, Hong Guan:
Foreground-background separation technique for crack detection. Comput. Aided Civ. Infrastructure Eng. 34(6): 457-470 (2019) - [j47]Cheng Yan, Xiao Bai, Shuai Wang, Jun Zhou, Edwin R. Hancock:
Cross-modal hashing with semantic deep embedding. Neurocomputing 337: 58-66 (2019) - [j46]Chen Wang, Xiao Bai, Shuai Wang, Jun Zhou, Peng Ren:
Multiscale Visual Attention Networks for Object Detection in VHR Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 16(2): 310-314 (2019) - [j45]Chen Wang, Xiang Wang, Xiao Bai, Yun Liu, Jun Zhou:
Self-Supervised deep homography estimation with invertibility constraints. Pattern Recognit. Lett. 128: 355-360 (2019) - [j44]Adnan Farooq, Xiuping Jia, Jiankun Hu, Jun Zhou:
Multi-Resolution Weed Classification via Convolutional Neural Network and Superpixel Based Local Binary Pattern Using Remote Sensing Images. Remote. Sens. 11(14): 1692 (2019) - [j43]Jing Wang, Jun Zhou, Weiqing Huang:
Attend in Bands: Hyperspectral Band Weighting and Selection for Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(12): 4712-4727 (2019) - [j42]Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia, Jocelyn Chanussot, Yongsheng Gao:
Conditional Random Field and Deep Feature Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(3): 1612-1628 (2019) - [j41]Fengchao Xiong, Yuntao Qian, Jun Zhou, Yuan Yan Tang:
Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization. IEEE Trans. Geosci. Remote. Sens. 57(4): 2341-2357 (2019) - [j40]Sen Jia, Xianglong Deng, Jiasong Zhu, Meng Xu, Jun Zhou, Xiuping Jia:
Collaborative Representation-Based Multiscale Superpixel Fusion for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(10): 7770-7784 (2019) - [j39]Sen Jia, Jiayue Zhuang, Lin Deng, Jiasong Zhu, Meng Xu, Jun Zhou, Xiuping Jia:
3-D Gaussian-Gabor Feature Extraction and Selection for Hyperspectral Imagery Classification. IEEE Trans. Geosci. Remote. Sens. 57(11): 8813-8826 (2019) - [j38]Fengchao Xiong, Jun Zhou, Yuntao Qian:
Hyperspectral Restoration via L0 Gradient Regularized Low-Rank Tensor Factorization. IEEE Trans. Geosci. Remote. Sens. 57(12): 10410-10425 (2019) - [c97]Yi Fan, Yongxuan Lai, Chengqian Li, Nan Li, Zongjie Ma, Jun Zhou, Longin Jan Latecki, Kaile Su:
Efficient Local Search for Minimum Dominating Sets in Large Graphs. DASFAA (2) 2019: 211-228 - [c96]Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew:
Abundance-Guided Superpixels and Recurrent Neural Network for Hyperspectral Image Classification. DICTA 2019: 1-8 - [c95]Yoon Jin Park, Gervase Tuxworth, Jun Zhou:
Insect Classification Using Squeeze-and-Excitation and Attention Modules - a Benchmark Study. ICIP 2019: 3437-3441 - [c94]