Jun Zhou

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 221

Top Venues

IEEE Trans. Geosci. Remote. Sens.

CoRR

DICTA

IGARSS

Publications

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 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
Fan Liu, Sai Yang, Delong Chen, Huaxi Huang, Jun Zhou
Few-shot classification guided by generalization error bound. Pattern Recognit. 145 (2024)
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 (2024)
Nick Nikzad, Yongsheng Gao, Jun Zhou
CSA-Net: Channel-wise Spatially Autocorrelated Attention Networks. CoRR (2024)
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 (2024)
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 (2024)
Keli Deng, Yuntao Qian, Jie Nie, Jun Zhou
Diffusion-Model-Based Hyperspectral Unmixing Using Spectral Prior Distribution. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Jiantao Zhou, Yuntao Qian
Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
Chunran Wu, Lei Tong, Jun Zhou, Chuangbai Xiao
Spectral-Spatial Large Kernel Attention Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62 (2024)
Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian
SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising. CoRR (2024)
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 (2023)
Lei Zhou, Yang Liu, Xiao Bai, Na Li, Xiaohan Yu, Jun Zhou, Edwin R. Hancock
Attribute subspaces for zero-shot learning. Pattern Recognit. 144 (2023)
Ugochukwu Ejike Akpudo, Xiaohan Yu, Jun Zhou, Yongsheng Gao
NCAF: NTD-based Concept Activation Factorisation Framework for CNN Explainability. IVCNZ (2023)
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 (2023)
Yajie Sun, Ali Zia, Jun Zhou
Multiscale Representations Learning Transformer Framework for Point Cloud Classification. ICIP (2023)
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 (2023)
Fengchao Xiong, Jun Zhou, Zhuang Zhao, Yuntao Qian
Iterative Refinement Network for Hyperspectral Image Denoising. ICME (2023)
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 (2023)
Jun Zhou, Fengchao Xiong, Lei Tong, Naoto Yokoya, Pedram Ghamisi
Guest Editorial: Spectral imaging powered computer vision. IET Comput. Vis. 17 (7) (2023)
Jiahe Li, Jiawei Zhang, Xiao Bai, Jun Zhou, Lin Gu
Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis. ICCV (2023)
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 (2023)
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)
Jiahe Li, Jiawei Zhang, Xiao Bai, Jun Zhou, Lin Gu
Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis. CoRR (2023)
Sai Yang, Fan Liu, Delong Chen, Jun Zhou
Few-shot Classification via Ensemble Learning with Multi-Order Statistics. CoRR (2023)
Fan Liu, Delong Chen, Zhangqingyun Guan, Xiaocong Zhou, Jiale Zhu, Jun Zhou
RemoteCLIP: A Vision Language Foundation Model for Remote Sensing. CoRR (2023)
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 (2023)
Mingjie Wang, Jun Zhou, Hao Cai, Minglun Gong
CrowdMLP: Weakly-supervised crowd counting via multi-granularity MLP. Pattern Recognit. 144 (2023)
Yajie Sun, Ali Zia, Jun Zhou
High Spectral Spatial Resolution Synthetic HyperSpectral Dataset form multi-source fusion. CoRR (2023)
Jing Wang, Jun Zhou, Xinwen Liu
Toward Universal Representation Learning for Multidomain Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Tianhan Li, Fengchao Xiong, Wenbin Zheng, Zhuanfeng Li, Jun Zhou, Yuntao Qian
Wavelet Siamese Network for Change Detection in Remote Sensing Images. IGARSS (2023)
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 (2023)
Yajie Sun, Ali Zia, Vivien Rolland, Charissa Yu, Jun Zhou
Spectral 3D Computer Vision - A Review. CoRR (2023)
Mohammad Aminul Islam, Wangzhi Xing, Jun Zhou
Multi Modality Siamese Feature Fusion Transformer Tracker for Object Tracking from Hyperspectral Videos. WHISPERS (2023)
Fengchao Xiong, Jun Zhou, Jiantao Zhou, Jianfeng Lu, Yuntao Qian
Deep Parameterized Neural Networks for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
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 (2023)
Fengchao Xiong, Zhongyi Gu, Wenbin Zheng, Tianhan Li, Jun Zhou
Multi-Task Attentional U-Net for Hyperspectral Image Denoising. IGARSS (2023)
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) (2023)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
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 (2022)
Mohammad Nikzad, Yongsheng Gao, Jun Zhou
An Attention-Based Lattice Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
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)
Zhuanfeng Li, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian
Material-Guided Siamese Fusion Network for Hyperspectral Object Tracking. ICASSP (2022)
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 (2022)
Miaohua Zhang, Yongsheng Gao, Jun Zhou
A Generalized Kernel Risk Sensitive Loss for Robust Two-Dimensional Singular Value Decomposition. ICASSP (2022)
Adnan Farooq, Xiuping Jia, Jiankun Hu, Jun Zhou
Transferable Convolutional Neural Network for Weed Mapping With Multisensor Imagery. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
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 (2022)
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 (2022)
Jue Zhang, Xiuping Jia, Jun Zhou, Jiankun Hu
Learning Uncertainty-Aware Label Transition for Weakly Supervised Solar Panel Mapping with Aerial Images. IGARSS (2022)
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 (2022)
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 (2022)
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 (2022)
Xiyou Fu, Sen Jia, Meng Xu, Jun Zhou, Qingquan Li
Sparsity Constrained Fusion of Hyperspectral and Multispectral Images. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Sheng Zeng, Changhong Liu, Jun Zhou, Yong Chen, Aiwen Jiang, Hanxi Li
Learning Hierarchical Semantic Correspondences for Cross-Modal Image-Text Retrieval. ICMR (2022)
Dong Bao, Gervase Tuxworth, Jun Zhou
Similarity-Based Hyperspectral Band Selection Using Deep Reinforcement Learning. WHISPERS (2022)
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 (2022)
Fengchao Xiong, Minchao Ye, Jun Zhou, Yuntao Qian
Spatial-Spectral Convolutional Sparse Neural Network for Hyperspectral Image Denoising. IGARSS (2022)
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 (2022)
Fengchao Xiong, Minchao Ye, Jun Zhou, Jianfeng Lu, Yuntao Qian
Multitask Sparse Neural Network for Hyperspectral Image Denoising. ICASSP (2022)
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 (2022)
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) (2022)
Pengcheng Zhang, Lei Zhou, Xiao Bai, Chen Wang, Jun Zhou, Liang Zhang, Jin Zheng
Learning multi-view visual correspondences with self-supervision. Displays 72 (2022)
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)
Xiao Bai, Jun Zhou, Xin Ning, Chen Wang
3D data computation and visualization. Displays 73 (2022)
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 (2022)
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 (2022)
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 (2022)
Miaohua Zhang, Yongsheng Gao, Jun Zhou
A unified weight learning and low-rank regression model for robust complex error modeling. Pattern Recognit. 120 (2021)
Fengchao Xiong, Jun Zhou, Minchao Ye, Jianfeng Lu, Yuntao Qian
NMF-SAE: An Interpretable Sparse Autoencoder for Hyperspectral Unmixing. ICASSP (2021)
Mohammad Nikzad, Yongsheng Gao, Jun Zhou
Attention-based Pyramid Dilated Lattice Network for Blind Image Denoising. IJCAI (2021)
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) (2021)
Dong Bao, Jun Zhou, Shamsul Arafin Bhuiyan, Ali Zia, Rebecca Ford, Yongsheng Gao
Early Detection of Sugarcane Smut Disease in Hyperspectral Images. IVCNZ (2021)
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) (2021)
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) (2021)
Litao Yu, Yongsheng Gao, Jun Zhou, Jian Zhang
Parameter-Efficient Deep Neural Networks With Bilinear Projections. IEEE Trans. Neural Networks Learn. Syst. 32 (9) (2021)
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) (2021)
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) (2021)
Yang Liu, Lei Zhou, Xiao Bai, Yifei Huang, Lin Gu, Jun Zhou, Tatsuya Harada
Goal-Oriented Gaze Estimation for Zero-Shot Learning. CoRR (2021)
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 (2021)
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) (2021)
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) (2021)
Zhuanfeng Li, Xinhai Ye, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian
Spectral-Spatial-Temporal Attention Network for Hyperspectral Tracking. WHISPERS (2021)
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)
Yang Liu, Lei Zhou, Xiao Bai, Yifei Huang, Lin Gu, Jun Zhou, Tatsuya Harada
Goal-Oriented Gaze Estimation for Zero-Shot Learning. CVPR (2021)
Lei Zhou, Liang Zhang, Xiao Bai, Jun Zhou
Matrix Classifier On Dynamic Functional Connectivity For Mci Identification. ICIP (2020)
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 (2020)
Zongjie Ma, Abdul Sattar, Jun Zhou, Qingliang Chen, Kaile Su
Dropout with Tabu Strategy for Regularizing Deep Neural Networks. Comput. J. 63 (7) (2020)
Fengchao Xiong, Jun Zhou, Yuntao Qian
Material Based Object Tracking in Hyperspectral Videos. IEEE Trans. Image Process. 29 (2020)

Jun Zhou.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Jun Zhou