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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
- Jun Zhou 0025 — Emory University, School of Medicine, Atlanta, GA, USA
- Jun Zhou 0026 — China University of Geosciences, School of Automation, Wuhan, China
- Jun Zhou 0027 — Southeast University, School of Cyber Science and Engineering, Nanjing, China
- Jun Zhou 0028 — China University of Petroleum (East China), College of Oceanography and Space Informatics, Qingdao, China
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2020 – today
- 2025
[j138]Xin Ning, Xiao Bai, Prayag Tiwari, Jun Zhou, Byung-Gyu Kim, Yang Xiao:
Editorial: Transformer models for multi-source visual fusion and understanding. Inf. Fusion 120: 103112 (2025)- [j137]Zhuanfeng Li, Fengchao Xiong, Jianfeng Lu, Jing Wang, Diqi Chen, Jun Zhou, Yuntao Qian:
Multi-domain universal representation learning for hyperspectral object tracking. Pattern Recognit. 162: 111389 (2025) - [j136]Dong Bao, Jun Zhou, Gervase Tuxworth, Jue Zhang, Yongsheng Gao:
Hierarchical Context Learning of object components for unsupervised semantic segmentation. Pattern Recognit. 167: 111713 (2025) - [j135]Sai Yang, Bin Hu, Bojun Zhou, Fan Liu, Xiaoxin Wu, Xinsong Zhang, Juping Gu, Jun Zhou:
Power Line Aerial Image Restoration Under Adverse Weather: Datasets and Baselines. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 18: 10105-10119 (2025) - [j134]Sai Yang, Bin Hu, Fan Liu, Xiaoxin Wu, Weiping Ding, Jun Zhou:
IPT-ILR: Image Pyramid Transformer Coupled With Information Loss Regularization for All-in-One Image Restoration. IEEE Trans. Circuits Syst. Video Technol. 35(5): 4341-4356 (2025) - [j133]Xin Li, Feng Xu, Anzhu Yu, Xin Lyu, Hongmin Gao, Jun Zhou:
A Frequency Decoupling Network for Semantic Segmentation of Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 63: 1-21 (2025) - [j132]Boao Qin, Shou Feng, Chunhui Zhao, Wei Li, Ran Tao, Jun Zhou:
Language-Enhanced Dual-Level Contrastive Learning Network for Open-Set Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 63: 1-14 (2025) - [j131]Fengchao Xiong, Yongle Sun, Jun Zhou, Jianfeng Lu, Yuntao Qian:
Spatial-Spectral-Temporal Correlation Filter for Hyperspectral Object Tracking. IEEE Trans. Geosci. Remote. Sens. 63: 1-13 (2025) - [c142]Favour Ekong, Jun Zhou, Kwabena Sarpong, Yongsheng Gao:
Pixel-Wise Shuffling with Collaborative Sparsity for Melanoma Hyperspectral Image Classification. WACV 2025: 6485-6494 - [i37]Ali Zia, Jun Zhou, Muyiwa Olayemi:
Determining Mosaic Resilience in Sugarcane Plants using Hyperspectral Images. CoRR abs/2501.16700 (2025) - [i36]Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Jun Zhou, Lin Gu:
InsTaG: Learning Personalized 3D Talking Head from Few-Second Video. CoRR abs/2502.20387 (2025) - [i35]Ugochukwu Ejike Akpudo, Yongsheng Gao, Jun Zhou, Andrew Lewis:
TraNCE: Transformative Non-linear Concept Explainer for CNNs. CoRR abs/2503.20230 (2025) - 2024
- [j130]Yiyan Zhang, Hongmin Gao, Jun Zhou, Chenkai Zhang, Pedram Ghamisi, Shufang Xu, Chenming Li, Bing Zhang:
A cross-modal feature aggregation and enhancement network for hyperspectral and LiDAR joint classification. Expert Syst. Appl. 258: 125145 (2024) - [j129]Chenyu Li, Bing Zhang, Danfeng Hong, Jun Zhou, Gemine Vivone, Shutao Li, Jocelyn Chanussot:
CasFormer: Cascaded transformers for fusion-aware computational hyperspectral imaging. Inf. Fusion 108: 102408 (2024) - [j128]Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Jun Zhou, Lin Gu:
ER-NeRF++: Efficient region-aware Neural Radiance Fields for high-fidelity talking portrait synthesis. Inf. Fusion 110: 102456 (2024) - [j127]Ruihan Fan, Lei Tong, Jun Zhou, Baoqing Guo, Chuangbai Xiao:
Prototypical Network With Residual Capsule for Few-Shot Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j126]Xiao Bai, Pengcheng Zhang, Xiaohan Yu, Jin Zheng, Edwin R. Hancock, Jun Zhou, Lin Gu:
Learning From Human Attention for Attribute-Assisted Visual Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11152-11167 (2024) - [j125]Fan Liu, Sai Yang, Delong Chen, Huaxi Huang, Jun Zhou:
Few-shot classification guided by generalization error bound. Pattern Recognit. 145: 109904 (2024) - [j124]Fengchao Xiong, Tianhan Li, Jingzhou Chen, Jun Zhou, Yuntao Qian:
Mask-Guided Local-Global Attentive Network for Change Detection in Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 3366-3378 (2024) - [j123]Sai Yang, Fan Liu, Delong Chen, Huaxi Huang, Jun Zhou:
Few-Shot Classification Model Compression via School Learning. IEEE Trans. Circuits Syst. Video Technol. 34(12): 12244-12257 (2024) - [j122]Keli Deng, Yuntao Qian, Jie Nie, Jun Zhou:
Diffusion-Model-Based Hyperspectral Unmixing Using Spectral Prior Distribution. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j121]Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou:
SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j120]Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Jiantao Zhou, Yuntao Qian:
Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j119]Mohammad Aminul Islam, Wangzhi Xing, Jun Zhou, Yongsheng Gao, Kuldip K. Paliwal:
Hy-Tracker: A Novel Framework for Enhancing Efficiency and Accuracy of Object Tracking in Hyperspectral Videos. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j118]Xin Li, Feng Xu, Fan Liu, Yao Tong, Xin Lyu, Jun Zhou:
Semantic Segmentation of Remote Sensing Images by Interactive Representation Refinement and Geometric Prior-Guided Inference. IEEE Trans. Geosci. Remote. Sens. 62: 1-18 (2024) - [j117]Zhuanfeng Li, Fengchao Xiong, Jun Zhou, Jianfeng Lu, Zhuang Zhao, Yuntao Qian:
Material-Guided Multiview Fusion Network for Hyperspectral Object Tracking. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j116]Fan Liu, Delong Chen, Zhangqingyun Guan, Xiaocong Zhou, Jiale Zhu, Qiaolin Ye, Liyong Fu, Jun Zhou:
RemoteCLIP: A Vision Language Foundation Model for Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j115]Wei Wei, Lei Tong, Baoqing Guo, Jun Zhou, Chuangbai Xiao:
Few-Shot Hyperspectral Image Classification Using Relational Generative Adversarial Network. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j114]Chunran Wu, Lei Tong, Jun Zhou, Chuangbai Xiao:
Spectral-Spatial Large Kernel Attention Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j113]Fengchao Xiong, Tianhan Li, Yi Yang, Jun Zhou, Jianfeng Lu, Yuntao Qian:
Wavelet Siamese Network With Semi-Supervised Domain Adaptation for Remote Sensing Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j112]Judy X. Yang, Jun Zhou, Jing Wang, Hui Tian, Alan Wee-Chung Liew:
LiDAR-Guided Cross-Attention Fusion for Hyperspectral Band Selection and Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j111]Jin Ye, Fengchao Xiong, Jun Zhou, Yuntao Qian:
Iterative Low-Rank Network for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j110]Jue Zhang, Xiuping Jia, Jun Zhou, Junpeng Zhang, Jiankun Hu:
Weakly Supervised Solar Panel Mapping via Uncertainty Adjusted Label Transition in Aerial Images. IEEE Trans. Image Process. 33: 881-896 (2024) - [c141]Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu:
DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization. CVPR 2024: 20775-20785 - [c140]Edwin Kwadwo Tenagyei, Yongsheng Gao, Andrew Lewis, Nick Nikzad, Jun Zhou:
LinCNNFormer: Hybrid Linear Vision Transformer Based on Convolution Neural Network and Linear Attention. DICTA 2024: 78-84 - [c139]Zekun Long, Ali Zia, Jordi Nelis, Vivien Rolland, Jun Zhou:
A New Hyperspectral Unmixing Benchmark for Weak Signal Meat Contamination Detection. DICTA 2024: 569-576 - [c138]Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu:
TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting. ECCV (10) 2024: 127-145 - [c137]Wangzhi Xing, Diqi Chen, Mohammad Aminul Islam, Jun Zhou:
Bidfuse: Harnessing Bi-Directional Attention with Modality-Specific Encoders for Infrared-Visible Image Fusion. ICIP 2024: 2627-2633 - [c136]Ugochukwu Ejike Akpudo, Yongsheng Gao, Jun Zhou, Andrew Lewis:
Coherentice: Invertible Concept-Based Explainability Framework for CNNs beyond Fidelity. ICME 2024: 1-6 - [c135]Yijun Zhang, Fengchao Xiong, Jianfeng Lu, Minchao Ye, Jun Zhou, Yuntao Qian:
Semantic-Aware Alignment Network for Cross-Resolution Change Detection. IGARSS 2024: 8594-8598 - [c134]Mitsuyoshi Otsu, Jun Zhou:
Robust Learning to Noisy Labels for Semantic Segmentation of Mangrove Communities in Remote Sensing Imagery. IGARSS 2024: 8633-8637 - [c133]Xin Li, Feng Xu, Yao Tong, Fan Liu, Yiwei Fang, Xin Lyu, Jun Zhou:
FreqFormer: A Frequency Transformer for Semantic Segmentation of Remote Sensing Images. MMAsia 2024: 16:1-16:8 - [c132]Xiaocong Zhou, Fan Liu, Chuanyi Zhang, Feifan Li, Wenwen Cai, Jun Zhou:
Feature-weighted Multi-stage Bayesian Prototype for Few-shot Classification. MMAsia 2024: 82:1-82:7 - [e3]Ruili Wang, Zhiyong Wang, Jiaying Liu, Alberto Del Bimbo, Jun Zhou, Anup Basu, Min Xu:
Proceedings of the 6th ACM International Conference on Multimedia in Asia, MMAsia 2024, AucklandNew Zealand, December 3-6, 2024. ACM 2024, ISBN 979-8-4007-1273-9 [contents] - [i34]Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Jiantao Zhou, Yuntao Qian:
Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer. CoRR abs/2401.03885 (2024) - [i33]Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu:
DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization. CoRR abs/2403.06912 (2024) - [i32]Judy X. Yang, Jun Zhou, Jing Wang, Hui Tian, Alan Wee-Chung Liew:
HSIMamba: Hyperpsectral Imaging Efficient Feature Learning with Bidirectional State Space for Classification. CoRR abs/2404.00272 (2024) - [i31]Judy X. Yang, Jun Zhou, Jing Wang, Hui Tian, Alan Wee-Chung Liew:
LiDAR-Guided Cross-Attention Fusion for Hyperspectral Band Selection and Image Classification. CoRR abs/2404.03883 (2024) - [i30]Judy X. Yang, Jun Zhou, Jing Wang, Hui Tian, Alan Wee-Chung Liew:
Unsupervised Band Selection Using Fused HSI and LiDAR Attention Integrating With Autoencoder. CoRR abs/2404.05258 (2024) - [i29]Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu:
TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting. CoRR abs/2404.15264 (2024) - [i28]Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian:
SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising. CoRR abs/2405.01726 (2024) - [i27]Nick Nikzad, Yongsheng Gao, Jun Zhou:
CSA-Net: Channel-wise Spatially Autocorrelated Attention Networks. CoRR abs/2405.05755 (2024) - [i26]Sai Yang, Bin Hu, Bojun Zhou, Fan Liu, Xiaoxin Wu, Xinsong Zhang, Juping Gu, Jun Zhou:
Power Line Aerial Image Restoration under dverse Weather: Datasets and Baselines. CoRR abs/2409.04812 (2024) - [i25]Nick Nikzad, Yi Liao, Yongsheng Gao, Jun Zhou:
SATA: Spatial Autocorrelation Token Analysis for Enhancing the Robustness of Vision Transformers. CoRR abs/2409.19850 (2024) - [i24]Judy X. Yang, Jing Wang, Zekun Long, Chenhong Sui, Jun Zhou:
Hyperspectral Images Efficient Spatial and Spectral non-Linear Model with Bidirectional Feature Learning. CoRR abs/2412.00283 (2024) - 2023
- [j109]Jun Zhou, Fengchao Xiong, Lei Tong, Naoto Yokoya, Pedram Ghamisi:
Guest Editorial: Spectral imaging powered computer vision. IET Comput. Vis. 17(7): 723-725 (2023) - [j108]Mohammad Aminul Islam, Jun Zhou, Weichuan Zhang, Yongsheng Gao:
Background-Aware Band Selection for Object Tracking in Hyperspectral Videos. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j107]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) - [j106]Mingjie Wang, Jun Zhou, Hao Cai, Minglun Gong:
CrowdMLP: Weakly-supervised crowd counting via multi-granularity MLP. Pattern Recognit. 144: 109830 (2023) - [j105]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) - [j104]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) - [j103]Xuanzhu Chen, Zhenbo Song, Jun Zhou, Dong Xie, Jianfeng Lu:
Camera and LiDAR Fusion for Urban Scene Reconstruction and Novel View Synthesis via Voxel-Based Neural Radiance Fields. Remote. Sens. 15(18): 4628 (2023) - [j102]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) - [j101]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) - [j100]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) - [j99]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) - [j98]Jing Wang, Jun Zhou, Xinwen Liu:
Toward Universal Representation Learning for Multidomain Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j97]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) - [j96]Fengchao Xiong, Jun Zhou, Jiantao Zhou, Jianfeng Lu, Yuntao Qian:
Deep Parameterized Neural Networks 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) - [c131]Ugochukwu Ejike Akpudo, Xiaohan Yu, Jun Zhou, Yongsheng Gao:
What EXACTLY are We Looking at?: Investigating for Discriminance in Ultra-Fine-Grained Visual Categorization Tasks. DICTA 2023: 129-136 - [c130]Jiahe Li, Jiawei Zhang, Xiao Bai, Jun Zhou, Lin Gu:
Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis. ICCV 2023: 7534-7544 - [c129]Yajie Sun, Ali Zia, Jun Zhou:
Multiscale Representations Learning Transformer Framework for Point Cloud Classification. ICIP 2023: 3354-3358 - [c128]Fengchao Xiong, Jun Zhou, Zhuang Zhao, Yuntao Qian:
Iterative Refinement Network for Hyperspectral Image Denoising. ICME 2023: 2753-2758 - [c127]Tianhan Li, Fengchao Xiong, Wenbin Zheng, Zhuanfeng Li, Jun Zhou, Yuntao Qian:
Wavelet Siamese Network for Change Detection in Remote Sensing Images. IGARSS 2023: 5455-5458 - [c126]Fengchao Xiong, Zhongyi Gu, Wenbin Zheng, Tianhan Li, Jun Zhou:
Multi-Task Attentional U-Net for Hyperspectral Image Denoising. IGARSS 2023: 7336-7339 - [c125]Sai Yang, Fan Liu, Delong Chen, Jun Zhou:
Few-shot Classification via Ensemble Learning with Multi-Order Statistics. IJCAI 2023: 1631-1639 - [c124]Ugochukwu Ejike Akpudo, Xiaohan Yu, Jun Zhou, Yongsheng Gao:
NCAF: NTD-based Concept Activation Factorisation Framework for CNN Explainability. IVCNZ 2023: 1-6 - [c123]Mohammad Aminul Islam, Wangzhi Xing, Jun Zhou:
Multi Modality Siamese Feature Fusion Transformer Tracker for Object Tracking from Hyperspectral Videos. WHISPERS 2023: 1-5 - [i23]Yajie Sun, Ali Zia, Vivien Rolland, Charissa Yu, Jun Zhou:
Spectral 3D Computer Vision - A Review. CoRR abs/2302.08054 (2023) - [i22]Sai Yang, Fan Liu, Delong Chen, Jun Zhou:
Few-shot Classification via Ensemble Learning with Multi-Order Statistics. CoRR abs/2305.00454 (2023) - [i21]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) - [i20]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) - [i19]Yajie Sun, Ali Zia, Jun Zhou:
High Spectral Spatial Resolution Synthetic HyperSpectral Dataset form multi-source fusion. CoRR abs/2309.00005 (2023) - [i18]Mohammad Aminul Islam, Wangzhi Xing, Jun Zhou, Yongsheng Gao, Kuldip K. Paliwal:
Hy-Tracker: A Novel Framework for Enhancing Efficiency and Accuracy of Object Tracking in Hyperspectral Videos. CoRR abs/2311.18199 (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) - [c122]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 - [c121]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 - [c120]Miaohua Zhang, Yongsheng Gao, Jun Zhou:
A Generalized Kernel Risk Sensitive Loss for Robust Two-Dimensional Singular Value Decomposition. ICASSP 2022: 1910-1914 - [c119]Fengchao Xiong, Minchao Ye, Jun Zhou, Jianfeng Lu, Yuntao Qian:
Multitask Sparse Neural Network for Hyperspectral Image Denoising. ICASSP 2022: 2799-2803 - [c118]Zhuanfeng Li, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian:
Material-Guided Siamese Fusion Network for Hyperspectral Object Tracking. ICASSP 2022: 2809-2813 - [c117]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 - [c116]Fengchao Xiong, Minchao Ye, Jun Zhou, Yuntao Qian:
Spatial-Spectral Convolutional Sparse Neural Network for Hyperspectral Image Denoising. IGARSS 2022: 1225-1228 - [c115]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 - [c114]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] - [i17]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) - [i16]Chenxia Li, Ruoyu Guo, Jun Zhou, Mengtao An, Yuning Du, Lingfeng Zhu, Yi Liu, Xiaoguang Hu, Dianhai Yu:
PP-StructureV2: A Stronger Document Analysis System. CoRR abs/2210.05391 (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) - [c113]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 - [c112]Fereshteh Nayyeri, Jun Zhou:
Multi-Resolution ResNet for Road and Bridge Crack Detection. DICTA 2021: 1-8 - [c111]Fengchao Xiong, Jun Zhou, Minchao Ye, Jianfeng Lu, Yuntao Qian:
NMF-SAE: An Interpretable Sparse Autoencoder for Hyperspectral Unmixing. ICASSP 2021: 1865-1869 - [c110]Jing Wang, Jun Zhou, Xinwen Liu, Farah Jahan:
Spectral and Spatial Residual Attention Network for Joint Hyperspectral and Lidar Data Classification. IGARSS 2021: 278-281 - [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]Dong Wang, Xiao Bai, Lei Zhou, Jun Zhou:
A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks. ICTAI 2019: 768-775 - [c93]Chen Wang, Xiao Bai, Lei Zhou, Jun Zhou:
Hyperspectral Image Classification Based on Non-Local Neural Networks. IGARSS 2019: 584-587 - [c92]Qipeng Qian, Fengchao Xiong, Jun Zhou:
Deep Unfolded Iterative Shrinkage-Thresholding Model for Hyperspectral Unmixing. IGARSS 2019: 2151-2154 - [c91]Jing Wang, Jun Zhou, Weiqing Huang, Jackie Fang Chen:
Attention Networks for Band Weighting And Selection In Hyperspectral Remote Sensing Image Classification. IGARSS 2019: 3820-3823 - [c90]Adnan Farooq, Xiuping Jia, Jun Zhou:
Texture and Shape Features for Grass Weed Classification Using Hyperspectral Remote Sensing Images. IGARSS 2019: 7208-7211 - [c89]Lei Zhou, Xiao Bai, Dong Wang, Xianglong Liu, Jun Zhou, Edwin R. Hancock:
Latent Distribution Preserving Deep Subspace Clustering. IJCAI 2019: 4440-4446 - [c88]Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin R. Hancock:
Deep Hashing by Discriminating Hard Examples. ACM Multimedia 2019: 1535-1542 - [c87]Mohammad Nikzad, Yongsheng Gao, Jun Zhou:
Gradient-Based Pooling for Convolutional Neural Networks. VCIP 2019: 1-4 - [c86]He Chen, Chee Meng Benjamin Ho, Haofei Wang, Say Hwa Tan, Chun-Xia Zhao, Nam-Trung Nguyen, Yongsheng Gao, Jun Zhou:
Automatic Live and Dead Cell Classification via Hyperspectral Imaging. WHISPERS 2019: 1-5 - [c85]Adnan Farooq, Xiuping Jia, Jiankun Hu, Jun Zhou:
Knowledge Transfer via Convolution Neural Networks for Multi-Resolution Lawn Weed Classification. WHISPERS 2019: 1-5 - [c84]Fengchao Xiong, Jun Zhou, Jocelyn Chanussot, Yuntao Qian:
Dynamic Material-Aware Object Tracking in Hyperspectral Videos. WHISPERS 2019: 1-6 - [i9]Dong Wang, Lei Zhou, Xiao Bai, Jun Zhou:
A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks. CoRR abs/1906.07488 (2019) - [i8]Youmin Zhang, Yimin Chen, Xiao Bai, Jun Zhou, Kun Yu, Zhiwei Li, Kuiyuan Yang:
Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching. CoRR abs/1909.03751 (2019) - 2018
- [j37]Shahla Hosseini Bai, Iman Tahmasbian, Jun Zhou, Tio Nevenimo, Godfrey Hannet, David Walton, Bruce Randall, Tsvakai Gama, Helen M. Wallace:
A non-destructive determination of peroxide values, total nitrogen and mineral nutrients in an edible tree nut using hyperspectral imaging. Comput. Electron. Agric. 151: 492-500 (2018) - [j36]Xiao Bai, Cheng Yan, Haichuan Yang, Lu Bai, Jun Zhou, Edwin Robert Hancock:
Adaptive hash retrieval with kernel based similarity. Pattern Recognit. 75: 136-148 (2018) - [j35]Jie Liang, Jun Zhou, Lei Tong, Xiao Bai, Bin Wang:
Material based salient object detection from hyperspectral images. Pattern Recognit. 76: 476-490 (2018) - [j34]Xiao Bai, Fan Xu, Lei Zhou, Yan Xing, Lu Bai, Jun Zhou:
Nonlocal Similarity Based Nonnegative Tucker Decomposition for Hyperspectral Image Denoising. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(3): 701-712 (2018) - [j33]Farah Jahan, Jun Zhou, Mohammad Awrangjeb, Yongsheng Gao:
Fusion of Hyperspectral and LiDAR Data Using Discriminant Correlation Analysis for Land Cover Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(10): 3905-3917 (2018) - [j32]Minchao Ye, Yuntao Qian, Jun Zhou, Yuan Yan Tang:
Corrections to "Dictionary Learning-Based Feature-Level Domain Adaptation for Cross-Scene Hyperspectral Image Classification". IEEE Trans. Geosci. Remote. Sens. 56(5): 3002-3003 (2018) - [j31]Suhad Lateef Al-khafaji, Jun Zhou, Ali Zia, Alan Wee-Chung Liew:
Spectral-Spatial Scale Invariant Feature Transform for Hyperspectral Images. IEEE Trans. Image Process. 27(2): 837-850 (2018) - [c83]M. Daud Abdullah Asif, Yongsheng Gao, Jun Zhou:
Face Recognition with Multi-channel Local Mesh High-order Pattern Descriptor and Convolutional Neural Network. DICTA 2018: 1-7 - [c82]M. Daud Abdullah Asif, Yongsheng Gao, Jun Zhou:
Bay Lobsters Moulting Stage Analysis Based on High-Order Texture Descriptor. DICTA 2018: 1-7 - [c81]Jing Wang, Jun Zhou:
Band Weighting Network for Hyperspectral Image Classification. DICTA 2018: 1-8 - [c80]Fengchao Xiong, Jun Zhou, Yuntao Qian:
Hyperspectral Imagery Denoising via Reweighed Sparse Low-Rank Nonnegative Tensor Factorization. ICIP 2018: 3219-3223 - [c79]Kun Qian, Jun Zhou, Fengchao Xiong, Huixin Zhou, Juan Du:
Object Tracking in Hyperspectral Videos with Convolutional Features and Kernelized Correlation Filter. ICSM 2018: 308-319 - [c78]Fengchao Xiong, Jingzhou Chen, Jun Zhou, Yuntao Qian:
Superpixel-Based Nonnegative Tensor Factorization for Hyperspectral Unmixing. IGARSS 2018: 6392-6395 - [c77]Yanyang Gu, Yi-Ping Partridge, Jun Zhou:
A Hyperspectral Dermoscopy Dataset for Melanoma Detection. OR 2.0/CARE/CLIP/ISIC@MICCAI 2018: 268-276 - [c76]Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou:
Binary Coding by Matrix Classifier for Efficient Subspace Retrieval. ICMR 2018: 82-90 - [c75]Litao Yu, Yongsheng Gao, Jun Zhou:
Generative Adversarial Product Quantisation. ACM Multimedia 2018: 861-869 - [c74]Haifeng Zhao, Jun Zhou, Yanyang Gu, Chee Meng Benjamin Ho, Say Hwa Tan, Yongsheng Gao:
Real- Time Computing for Droplet Detection and Recognition. RCAR 2018: 589-594 - [c73]Lei Zhou, Shuai Wang, Xiao Bai, Jun Zhou, Edwin R. Hancock:
Iterative Deep Subspace Clustering. S+SSPR 2018: 42-51 - [c72]Xiang Wang, Chen Wang, Xiao Bai, Yun Liu, Jun Zhou:
Deep Homography Estimation with Pairwise Invertibility Constraint. S+SSPR 2018: 204-214 - [c71]Yun Liu, Cheng Yan, Xiao Bai, Jun Zhou:
Cross-Model Retrieval with Reconstruct Hashing. S+SSPR 2018: 386-394 - [c70]Suhad Lateef Al-Khafaji, Jun Zhou, Alan Wee-Chung Liew:
An Efficient Method for Boundary Detection from Hyperspectral Imagery. S+SSPR 2018: 416-426 - [c69]Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Jun Jo, Yongsheng Gao:
Triplet Constrained Deep Feature Extraction for Hyperspectral Image Classification. WHISPERS 2018: 1-5 - [i7]Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou, Edwin R. Hancock:
Fast Subspace Clustering Based on the Kronecker Product. CoRR abs/1803.05657 (2018) - [i6]Dong Wang, Lei Zhou, Xueni Zhang, Xiao Bai, Jun Zhou:
Exploring Linear Relationship in Feature Map Subspace for ConvNets Compression. CoRR abs/1803.05729 (2018) - [i5]Zongjie Ma, Abdul Sattar, Jun Zhou, Qingliang Chen, Kaile Su:
Dropout with Tabu Strategy for Regularizing Deep Neural Networks. CoRR abs/1808.09907 (2018) - [i4]Kun Qian, Jun Zhou, Fengchao Xiong, Huixin Zhou, Juan Du:
Object Tracking in Hyperspectral Videos with Convolutional Features and Kernelized Correlation Filter. CoRR abs/1810.11819 (2018) - [i3]Fengchao Xiong, Jun Zhou, Kun Qian, Yuntao Qian:
Spectral-spatial features for material based object tracking in hyperspectral videos. CoRR abs/1812.04179 (2018) - 2017
- [j30]Yun Liu, Chen Wang, Yang Wang, Xiao Bai, Jun Zhou, Lu Bai:
Differential weights-based band selection for hyperspectral image classification. Int. J. Wavelets Multiresolution Inf. Process. 15(6): 1750065:1-1750065:16 (2017) - [j29]Xun Yu, Yongsheng Gao, Jun Zhou:
Sparse 3D directional vertices vs continuous 3D curves: Efficient 3D surface matching and its application for single model face recognition. Pattern Recognit. 65: 296-306 (2017) - [j28]Changhong Liu, Jun Zhou, Jie Liang, Yuntao Qian, Hanxi Li, Yongsheng Gao:
Exploring Structural Consistency in Graph Regularized Joint Spectral-Spatial Sparse Coding for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(3): 1151-1164 (2017) - [j27]Lei Tong, Jun Zhou, Xue Li, Yuntao Qian, Yongsheng Gao:
Region-Based Structure Preserving Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(4): 1575-1588 (2017) - [j26]Jie Liang, Jun Zhou, Yuntao Qian, Lian Wen, Xiao Bai, Yongsheng Gao:
On the Sampling Strategy for Evaluation of Spectral-Spatial Methods in Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(2): 862-880 (2017) - [j25]Minchao Ye, Yuntao Qian, Jun Zhou, Yuan Yan Tang:
Dictionary Learning-Based Feature-Level Domain Adaptation for Cross-Scene Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(3): 1544-1562 (2017) - [j24]Yuntao Qian, Fengchao Xiong, Shan Zeng, Jun Zhou, Yuan Yan Tang:
Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 55(3): 1776-1792 (2017) - [c68]Cheng Yan, Xiao Bai, Jun Zhou, Yun Liu:
Hierarchical Hashing for Image Retrieval. CCCV (2) 2017: 111-125 - [c67]Suhad Lateef Al-khafaji, Ali Zia, Jun Zhou, Alan Wee-Chung Liew:
Material Based Boundary Detection in Hyperspectral Images. DICTA 2017: 1-7 - [c66]Fahim Irfan Alam, Jun Zhou, Lei Tong, Alan Wee-Chung Liew, Yongsheng Gao:
Combining Unmixing and Deep Feature Learning for Hyperspectral Image Classification. DICTA 2017: 1-8 - [c65]Mohammad Awrangjeb, David Jonas, Jun Zhou:
An Automatic Technique for Power Line Pylon Detection from Point Cloud Data. DICTA 2017: 1-8 - [c64]Chen Wang, Yun Liu, Xiao Bai, Wenzhong Tang, Peng Lei, Jun Zhou:
Deep Residual Convolutional Neural Network for Hyperspectral Image Super-Resolution. ICIG (3) 2017: 370-380 - [c63]Yuan Tian, Cheng Yan, Xiao Bai, Jun Zhou:
Heterogeneous face recognition via grassmannian based nearest subspace search. ICIP 2017: 1077-1081 - [c62]Fan Xu, Xiao Bai, Jun Zhou:
Non-local similarity based tensor decomposition for hyperspectral image denoising. ICIP 2017: 1890-1894 - [c61]Yanyang Gu, Jun Zhou, Bin Qian:
Melanoma Detection Based on Mahalanobis Distance Learning and Constrained Graph Regularized Nonnegative Matrix Factorization. WACV 2017: 797-805 - [i2]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 Segmentation. CoRR abs/1711.04483 (2017) - 2016
- [j23]Lei Liu, Xiao Bai, Huigang Zhang, Jun Zhou, Wenzhong Tang:
Describing and learning of related parts based on latent structural model in big data. Neurocomputing 173: 355-363 (2016) - [j22]Zhenqiu Shu, Jun Zhou, Pu Huang, Xun Yu, Zhangjing Yang, Chunxia Zhao:
Local and global regularized sparse coding for data representation. Neurocomputing 175: 188-197 (2016) - [j21]Cheng Yan, Xiao Bai, Peng Ren, Lu Bai, Wenzhong Tang, Jun Zhou:
Band Weighting via Maximizing Interclass Distance for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 13(7): 922-925 (2016) - [j20]Haichuan Yang, Xiao Bai, Yanzhen Liu, Yanyang Wang, Lu Bai, Jun Zhou, Wenzhong Tang:
Maximum margin hashing with supervised information. Multim. Tools Appl. 75(7): 3955-3971 (2016) - [j19]Xiao Bai, Cheng Yan, Peng Ren, Lu Bai, Jun Zhou:
Discriminative sparse neighbor coding. Multim. Tools Appl. 75(7): 4013-4037 (2016) - [j18]Danping Liao, Yuntao Qian, Jun Zhou, Yuan Yan Tang:
A Manifold Alignment Approach for Hyperspectral Image Visualization With Natural Color. IEEE Trans. Geosci. Remote. Sens. 54(6): 3151-3162 (2016) - [j17]Lei Tong, Jun Zhou, Yuntao Qian, Xiao Bai, Yongsheng Gao:
Nonnegative-Matrix-Factorization-Based Hyperspectral Unmixing With Partially Known Endmembers. IEEE Trans. Geosci. Remote. Sens. 54(11): 6531-6544 (2016) - [c60]Yanzhen Liu, Xiao Bai, Cheng Yan, Jun Zhou:
Bilinear Discriminant Analysis Hashing: A Supervised Hashing Approach for High-Dimensional Data. ACCV (5) 2016: 297-310 - [c59]Yue Li, Bin Wang, Yongsheng Gao, Jun Zhou:
Affine Invariant Point-Set Matching Using Convex Hull Bisection. DICTA 2016: 1-8 - [c58]Yanzhen Liu, Xiao Bai, Cheng Yan, Jing Wang, Jun Zhou:
Hashing with Non-Linear Manifold Learning. DICTA 2016: 1-8 - [c57]Xun Yu, Yongsheng Gao, Jun Zhou:
Boosting Radial Strings for 3D Face Recognition with Expressions and Occlusions. DICTA 2016: 1-6 - [c56]Bin Qian, Jun Zhou, Lei Tong, Xiaobo Shen, Fan Liu:
Nonnegative matrix factorization with endmember sparse graph learning for hyperspectral unmixing. ICIP 2016: 1843-1847 - [c55]Xue Li, Jun Zhou, Lei Tong, Xun Yu, Jianhui Guo, Chunxia Zhao:
Structured Discriminative Nonnegative Matrix Factorization for hyperspectral unmixing. ICIP 2016: 1848-1852 - [c54]Jie Liang, Jun Zhou, Yongsheng Gao:
Tensor morphological profile for hyperspectral image classification. ICIP 2016: 2197-2201 - [c53]Xun Yu, Yongsheng Gao, Jun Zhou:
3D face recognition under partial occlusions using radial strings. ICIP 2016: 3016-3020 - [c52]Yu Tang, Enlong Fan, Cheng Yan, Xiao Bai, Jun Zhou:
Discriminative weighted band selection via one-class SVM for hyperspectral imagery. IGARSS 2016: 2765-2768 - [c51]Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia:
CRF learning with CNN features for hyperspectral image segmentation. IGARSS 2016: 6890-6893 - [i1]Jie Liang, Jun Zhou, Yuntao Qian, Lian Wen, Xiao Bai, Yongsheng Gao:
On the Sampling Strategy for Evaluation of Spectral-spatial Methods in Hyperspectral Image Classification. CoRR abs/1605.05829 (2016) - 2015
- [j16]Xiao Bai, Peng Ren, Huigang Zhang, Jun Zhou:
An incremental structured part model for object recognition. Neurocomputing 154: 189-199 (2015) - [j15]Xiao Bai, Chuntian Liu, Peng Ren, Jun Zhou, Huijie Zhao, Yun Su:
Object Classification via Feature Fusion Based Marginalized Kernels. IEEE Geosci. Remote. Sens. Lett. 12(1): 8-12 (2015) - [j14]Xiao Bai, Zhouxiao Guo, Yanyang Wang, Zhihong Zhang, Jun Zhou:
Semisupervised Hyperspectral Band Selection Via Spectral-Spatial Hypergraph Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2774-2783 (2015) - [j13]Minchao Ye, Yuntao Qian, Jun Zhou:
Multitask Sparse Nonnegative Matrix Factorization for Joint Spectral-Spatial Hyperspectral Imagery Denoising. IEEE Trans. Geosci. Remote. Sens. 53(5): 2621-2639 (2015) - [c50]Ali Zia, Jun Zhou, Yongsheng Gao:
Relative Depth Estimation from Hyperspectral Data. DICTA 2015: 1-7 - [c49]Jie Liang, Jun Zhou, Yongsheng Gao:
3D local derivative pattern for hyperspectral face recognition. FG 2015: 1-6 - [c48]Haoyi Zhou, Xiao Bai, Jun Zhou, Haichuan Yang, Yun Liu:
Learning Graph Model for Different Dimensions Image Matching. GbRPR 2015: 158-167 - [c47]Zhenqiu Shu, Jun Zhou, Lei Tong, Xiao Bai, Chunxia Zhao:
Multilayer manifold and sparsity constrainted nonnegative matrix factorization for hyperspectral unmixing. ICIP 2015: 2174-2178 - [c46]Cheng Yan, Xiao Bai, Jun Zhou:
Band weighting and selection based on hyperplane margin maximization for hyperspectral image classification. IGARSS 2015: 1702-1705 - [c45]Ali Zia, Jie Liang, Jun Zhou, Yongsheng Gao:
3D Reconstruction from Hyperspectral Images. WACV 2015: 318-325 - [c44]Lei Tong, Jun Zhou, Yuntao Qian, Yongsheng Gao:
Multiple graph regularized NMF for hyperspectral unmixing. WHISPERS 2015: 1-4 - [c43]Jun Zhou, Jie Liang, Yuntao Qian, Yongsheng Gao, Lei Tong:
On the sampling strategies for evaluation of joint spectral-spatial information based classifiers. WHISPERS 2015: 1-4 - 2014
- [j12]Zhichun Fu, H. M. Boot, Peter Christen, Jun Zhou:
Automatic Record Linkage of Individuals and Households in Historical Census Data. Int. J. Humanit. Arts Comput. 8(2): 204-225 (2014) - [j11]Xiao Bai, Huigang Zhang, Jun Zhou:
VHR Object Detection Based on Structural Feature Extraction and Query Expansion. IEEE Trans. Geosci. Remote. Sens. 52(10): 6508-6520 (2014) - [j10]Xiao Bai, Haichuan Yang, Jun Zhou, Peng Ren, Jian Cheng:
Data-Dependent Hashing Based on p-Stable Distribution. IEEE Trans. Image Process. 23(12): 5033-5046 (2014) - [c42]Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Zhihong Zhang, Jian Cheng:
Adaptive Object Retrieval with Kernel Reconstructive Hashing. CVPR 2014: 1955-1962 - [c41]Lei Tong, Jun Zhou, Xiao Bai, Yongsheng Gao:
Dual Graph Regularized NMF for Hyperspectral Unmixing. DICTA 2014: 1-8 - [c40]Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Jian Cheng, Lu Bai:
Semi-randomized hashing for large scale data retrieval. DSAA 2014: 53-58 - [c39]Danping Liao, Yuntao Qian, Jun Zhou:
Visualization of Hyperspectral Imaging Data Based on Manifold Alignment. ICPR 2014: 70-75 - [c38]Xun Yu, Yongsheng Gao, Jun Zhou:
Face Recognition Using 3D Directional Corner Points. ICPR 2014: 2802-2807 - [c37]Zhichun Fu, Peter Christen, Jun Zhou:
A Graph Matching Method for Historical Census Household Linkage. PAKDD (1) 2014: 485-496 - 2013
- [j9]Huigang Zhang, Xiao Bai, Huaxin Zheng, Huijie Zhao, Jun Zhou, Jian Cheng, Hanqing Lu:
Hierarchical Remote Sensing Image Analysis via Graph Laplacian Energy. IEEE Geosci. Remote. Sens. Lett. 10(2): 396-400 (2013) - [j8]Yuntao Qian, Minchao Ye, Jun Zhou:
Hyperspectral Image Classification Based on Structured Sparse Logistic Regression and Three-Dimensional Wavelet Texture Features. IEEE Trans. Geosci. Remote. Sens. 51(4-2): 2276-2291 (2013) - [j7]Lin Gu, Antonio Robles-Kelly, Jun Zhou:
Efficient Estimation of Reflectance Parameters From Imaging Spectroscopy. IEEE Trans. Image Process. 22(9): 3648-3663 (2013) - [j6]Huigang Zhang, Xiao Bai, Jun Zhou, Jian Cheng, Huijie Zhao:
Object Detection Via Structural Feature Selection and Shape Model. IEEE Trans. Image Process. 22(12): 4984-4995 (2013) - [c36]Douglas Brown, Yongsheng Gao, Jun Zhou:
Learning Discriminative Local Patterns with Unrestricted Structure for Face Recognition. DICTA 2013: 1-7 - [c35]Lei Tong, Jun Zhou, Chengyuan Xu, Yuntao Qian, Yongsheng Gao:
Soil Biochar Quantification via Hyperspectral Unmixing. DICTA 2013: 1-8 - [c34]Xun Yu, Yongsheng Gao, Jun Zhou:
A 3D Polygonal Line Chains Matching Method for Face Recognition. DICTA 2013: 1-6 - [c33]Jie Liang, Ali Zia, Jun Zhou, Xavier Sirault:
3D Plant Modelling via Hyperspectral Imaging. ICCV Workshops 2013: 172-177 - [c32]Yuntao Qian, Danping Liao, Jun Zhou:
Manifold alignment based color transfer for multiview image stitching. ICIP 2013: 1341-1345 - [c31]Jie Liang, Jun Zhou, Xiao Bai, Yuntao Qian:
Salient object detection in hyperspectral imagery. ICIP 2013: 2393-2397 - [c30]Haichuan Yang, Xiao Bai, Chuntian Liu, Jun Zhou:
Label propagation hashing based on p-stable distribution and coordinate descent. ICIP 2013: 2674-2678 - [c29]Zhouxiao Guo, Xiao Bai, Zhihong Zhang, Jun Zhou:
A hypergraph based semi-supervised band selection method for hyperspectral image classification. ICIP 2013: 3137-3141 - [c28]Wei Xu, Zhenmin Tang, Jun Zhou, Jundi Ding:
Pavement crack detection based on saliency and statistical features. ICIP 2013: 4093-4097 - [c27]Chuntian Liu, Wei Wei, Xiao Bai, Jun Zhou:
Marginalized kernel-based feature fusion method for VHR object classification. IGARSS 2013: 216-219 - [c26]Zhouxiao Guo, Haichuan Yang, Xiao Bai, Zhihong Zhang, Jun Zhou:
Semi-supervised hyperspectral band selection via sparse linear regression and hypergraph models. IGARSS 2013: 1474-1477 - [c25]Gaurav Mitra, Beau Johnston, Alistair P. Rendell, Eric McCreath, Jun Zhou:
Use of SIMD Vector Operations to Accelerate Application Code Performance on Low-Powered ARM and Intel Platforms. IPDPS Workshops 2013: 1107-1116 - 2012
- [c24]Zhichun Fu, Jun Zhou, Furong Peng, Peter Christen:
A Bag Reconstruction Method for Multiple Instance Classification and Group Record Linkage. ADMA 2012: 247-259 - [c23]Huigang Zhang, Junxiu Wang, Xiao Bai, Jun Zhou, Jian Cheng, Huijie Zhao:
Object detection via foreground contour feature selection and part-based shape model. ICPR 2012: 2524-2527 - [c22]Zhichun Fu, Jun Zhou, Peter Christen, Mac Boot:
Multiple Instance Learning for Group Record Linkage. PAKDD (1) 2012: 171-182 - [c21]Huigang Zhang, Xiao Bai, Jian Cheng, Jun Zhou, Huijie Zhao:
An Incremental Structured Part Model for Image Classification. SSPR/SPR 2012: 483-491 - 2011
- [j5]Haifeng Zhao, Antonio Robles-Kelly, Jun Zhou, Jianfeng Lu, Jing-Yu Yang:
Graph attribute embedding via Riemannian submersion learning. Comput. Vis. Image Underst. 115(7): 962-975 (2011) - [j4]Zhouyu Fu, Antonio Robles-Kelly, Jun Zhou:
MILIS: Multiple Instance Learning with Instance Selection. IEEE Trans. Pattern Anal. Mach. Intell. 33(5): 958-977 (2011) - [j3]Yuntao Qian, Sen Jia, Jun Zhou, Antonio Robles-Kelly:
Hyperspectral Unmixing via $L_{1/2}$ Sparsity-Constrained Nonnegative Matrix Factorization. IEEE Trans. Geosci. Remote. Sens. 49(11): 4282-4297 (2011) - [c20]Haifeng Zhao, Antonio Robles-Kelly, Jun Zhou:
On the Use of the Chi-Squared Distance for the Structured Learning of Graph Embeddings. DICTA 2011: 422-428 - [c19]Lin Gu, Cong Phuoc Huynh, Antonio Robles-Kelly, Jun Zhou:
Material-specific user colour profiles from imaging spectroscopy data. ICCV 2011: 1987-1994 - [c18]Yuntao Qian, Jun Zhou, Minchao Ye, Qi Wang:
Structured sparse model based feature selection and classification for hyperspectral imagery. IGARSS 2011: 1771-1774 - 2010
- [j2]Zhouyu Fu, Antonio Robles-Kelly, Jun Zhou:
Mixing Linear SVMs for Nonlinear Classification. IEEE Trans. Neural Networks 21(12): 1963-1975 (2010) - [c17]Yuntao Qian, Sen Jia, Jun Zhou, Antonio Robles-Kelly:
L1/2 Sparsity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing. DICTA 2010: 447-453 - [c16]Pattaraporn Khuwuthyakorn, Antonio Robles-Kelly, Jun Zhou:
Object of Interest Detection by Saliency Learning. ECCV (2) 2010: 636-649 - [c15]Mahmudul Hasan, Mark R. Pickering, Antonio Robles-Kelly, Jun Zhou, Xiuping Jia:
Regisration of hyperspectral and trichromatic images via cross cumulative residual entropy maximisation. ICIP 2010: 2329-2332 - [c14]Jun Zhou, Antonio Robles-Kelly:
Image Inpainting Based on Local Optimisation. ICPR 2010: 4440-4443 - [c13]Mahmudul Hasan, Xiuping Jia, Antonio Robles-Kelly, Jun Zhou, Mark R. Pickering:
Multi-spectral remote sensing image registration via spatial relationship analysis on sift keypoints. IGARSS 2010: 1011-1014 - [c12]Haifeng Zhao, Jun Zhou, Antonio Robles-Kelly:
A Structured Learning Approach to Attributed Graph Embedding. SSPR/SPR 2010: 70-79
2000 – 2009
- 2009
- [c11]Quang Anh Nguyen, Antonio Robles-Kelly, Jun Zhou:
A Graph-Based Feature Combination Approach to Object Tracking. ACCV (2) 2009: 224-235 - [c10]Pattaraporn Khuwuthyakorn, Antonio Robles-Kelly, Jun Zhou:
An affine Invariant hyperspectral texture descriptor based upon heavy-tailed distributions and fourier analysis. CVPR Workshops 2009: 112-119 - [c9]Jun Zhou, Zhouyu Fu, Antonio Robles-Kelly:
Learning the Optimal Transformation of Salient Features for Image Classification. DICTA 2009: 125-131 - [c8]Haifeng Zhao, Jun Zhou, Antonio Robles-Kelly, Jianfeng Lu, Jing-Yu Yang:
Automatic Detection of Defective Zebrafish Embryos via Shape Analysis. DICTA 2009: 431-438 - 2008
- [c7]Jun Zhou, Li Cheng, Walter F. Bischof:
Prediction and Change Detection in Sequential Data for Interactive Applications. AAAI 2008: 805-810 - [c6]Jun Zhou, Antonio Robles-Kelly:
A quasi-random sampling approach to image retrieval. CVPR 2008 - [c5]Pattaraporn Khuwuthyakorn, Antonio Robles-Kelly, Jun Zhou:
Texture Descriptors via Stable Distributions. DICTA 2008: 214-219 - [c4]Jyun-Hao Huang, Ali Zia, Jun Zhou, Antonio Robles-Kelly:
Content-Based Image Retrieval via Subspace-Projected Salient Features. DICTA 2008: 593-599 - 2007
- [j1]Jun Zhou, Li Cheng, Walter F. Bischof:
Online Learning With Novelty Detection in Human-Guided Road Tracking. IEEE Trans. Geosci. Remote. Sens. 45(12-1): 3967-3977 (2007) - [c3]Jun Zhou, Li Cheng, Terry Caelli, Walter F. Bischof:
Knowledge Transfer in Semi-automatic Image Interpretation. HCI (3) 2007: 1028-1034 - 2006
- [c2]Jun Zhou, Walter F. Bischof, G. Arturo Sanchez-Azofeifa:
Extracting Lines in Noisy Image Using Directional Information. ICPR (2) 2006: 215-218 - 2004
- [c1]Jun Zhou, Walter F. Bischof, Terry Caelli:
Understanding Human-Computer Interactions in Map Revision. SSPR/SPR 2004: 287-295
Coauthor Index
[j138] [i36] [j128] [j126] [c141] [c138] [i33] [i29] [j107] [j105] [j104] [c130] [i20] [j93] [j92] [j89] [j75] [j73] [c122] [c121] [i17] [j69] [c113] [i15] [j59] [j55] [c103] [c101] [c99] [i13] [j47] [j46] [j45] [c94] [c93] [c89] [c88] [i9] [i8] [j36] [j35] [j34] [c76] [c73] [c72] [c71] [i7] [i6] [j30] [j26] [c68] [c64] [c63] [c62] [j23] [j21] [j20] [j19] [j17] [c60] [c58] [c52] [i1] [j16] [j15] [j14] [c48] [c47] [c46] [j11] [j10] [c42] [c41] [c40] [j9] [j6] [c31] [c30] [c29] [c27] [c26] [c23] [c21]
[j136] [c142] [i35] [j119] [c140] [c136] [i27] [i25] [j108] [c131] [c124] [i18] [j81] [c120] [j71] [j70] [j64] [j62] [c108] [c107] [j57] [c105] [c100] [i14] [i12] [i11] [j42] [c87] [c86] [j33] [c83] [c82] [c75] [c74] [c69] [j29] [j28] [j27] [j26] [c66] [i2] [j17] [c59] [c57] [c54] [c53] [i1] [c50] [c49] [c45] [c44] [c43] [c41] [c38] [c36] [c35] [c34]
Edwin R. Hancock
aka: Edwin Robert Hancock
aka: Edwin Robert Hancock
[j137] [j131] [j124] [j122] [j120] [j117] [j113] [j111] [c135] [i34] [i28] [j97] [j96] [j95] [c128] [c127] [j86] [j80] [j78] [j77] [j75] [j74] [c119] [c118] [c116] [c111] [c109] [c106] [j58] [j54] [j52] [j51] [c102] [c98] [i10] [j41] [j38] [c84] [j32] [c80] [c78] [i3] [j28] [j27] [j26] [j25] [j24] [j18] [j17] [i1] [j13] [c44] [c43] [c39] [j8] [c35] [c32] [c31] [j3] [c18] [c17]
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