Jun Zhou

346 papers A* 17A 5B 30C 23Misc 32Journal 195Unranked 40
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Fusion-Based Two-Flow Spectral-Spatial Transformer Network for SAR-Based Optical Cloud Removal.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Minghua Wang, Jing Yao, Bing Zhang, Jun Zhou
2026 J jnl
Adaptive multi-stage fusion of hyperspectral and LiDAR data via selective state space models.
Inf. Fusion
Yiyan Zhang, Hongmin Gao, Zhonghao Chen, Shuyu Fei, Jun Zhou, Pedram Ghamisi, Bing Zhang
2026 J jnl
Enhanced One-Step Incomplete Multiview Fuzzy Clustering With Dual Representation Learning.
IEEE Trans. Fuzzy Syst.
Wei Zhang, Zhaohong Deng, Weiping Ding, Jun Zhou, Te Zhang, Kup-Sze Choi, Shitong Wang
2026 J jnl
RARFLoc: Robust absolute and relative fused visual localization for UAVs.
Inf. Fusion
Jielong Lin, Jiawei Zhang, Meiying Gu, Xiaohan Yu, Jun Zhou, Jin Zheng, Xiao Bai
2026 J jnl
SATE: Efficient knowledge distillation with implicit student-aware teacher ensembles.
Pattern Recognit.
Diqi Chen, Yang Li, Jiajun Liu, Jun Zhou, Yongsheng Gao
2026 J jnl
WS-Net: Weak-Signal Representation Learning and Gated Abundance Reconstruction for Hyperspectral Unmixing via State-Space and Weak Signal Attention Fusion.
CoRR
Zekun Long, Ali Zia, Guanyiman Fu, Vivien Rolland, Jun Zhou
2025 J jnl
A Frequency Decoupling Network for Semantic Segmentation of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Xin Li, Feng Xu, Anzhu Yu, Xin Lyu, Hongmin Gao, Jun Zhou
2025 J jnl
A Robust Co-Training Framework to Handle Noisy Labels for Remote Sensing Image Segmentation.
IEEE Trans. Geosci. Remote. Sens.
Mitsuyoshi Otsu, Jun Zhou, Bo Han, Arnon Accad, Shirui Pan
2025 J jnl
Adversarial Dilated Large-Kernel Attention Networks for Cross-Domain Few-Shot Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Xuan Liu, Lei Tong, Jun Zhou, Chuangbai Xiao
2025 J jnl
Boost UAV-Based Object Detection via Scale-Invariant Feature Disentanglement and Adversarial Learning.
IEEE Trans. Geosci. Remote. Sens.
Fan Liu, Liang Yao, Chuanyi Zhang, Ting Wu, Xinlei Zhang, Xiruo Jiang, Jun Zhou
2025 J jnl
CangLing-KnowFlow: A Unified Knowledge-and-Flow-fused Agent for Comprehensive Remote Sensing Applications.
CoRR
Zhengchao Chen, Haoran Wang, Jing Yao, Pedram Ghamisi, Jun Zhou, Peter M. Atkinson, Bing Zhang
2025 J jnl
CoPISan: Contrastive Perceptual Inference and Sanity Checks for Concept-Based CNN Explanations.
IEEE Trans. Pattern Anal. Mach. Intell.
Ugochukwu Ejike Akpudo, Yongsheng Gao, Jun Zhou, Andrew Lewis
2025 J jnl
CodeChemist: Functional Knowledge Transfer for Low-Resource Code Generation via Test-Time Scaling.
CoRR
Kaixin Wang, Tianlin Li, Xiaoyu Zhang, Aishan Liu, Xianglong Liu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Bin Shi
2025 J jnl
Determining Mosaic Resilience in Sugarcane Plants using Hyperspectral Images.
CoRR
Ali Zia, Jun Zhou, Muyiwa Olayemi
2025 J jnl
Dual-domain decoupled fusion network for semantic segmentation of remote sensing images.
Inf. Fusion
Xin Li, Feng Xu, Jue Zhang, Anzhu Yu, Xin Lyu, Hongmin Gao, Jun Zhou
2025 J jnl
Editorial: Transformer models for multi-source visual fusion and understanding.
Inf. Fusion
Xin Ning, Xiao Bai, Prayag Tiwari, Jun Zhou, Byung-Gyu Kim, Yang Xiao
2025 J jnl
Guest Editorial: Multi-view representation learning for computer vision.
IET Comput. Vis.
Xin Ning, Jun Zhou, Jian Cheng, Jing Wu, Chen Wang, Lin Gu
2025 J jnl
HSLiNets: Evaluating Band Ordering Strategies in Hyperspectral and LiDAR Fusion.
IEEE Geosci. Remote. Sens. Lett.
Judy X. Yang, Jing Wang, Zhuanfeng Li, Chenhong Sui, Zekun Long, Jun Zhou
2025 J jnl
Hierarchical Context Learning of object components for unsupervised semantic segmentation.
Pattern Recognit.
Dong Bao, Jun Zhou, Gervase Tuxworth, Jue Zhang, Yongsheng Gao
2025 — conf
Hierarchical Spatial Mamba Framework for Point Cloud Classification.
ACPR (1)
Yajie Sun, Ali Zia, Zekun Long, Zhangchi Qiu, Wei Xiang, Jun Zhou
2025 J jnl
IPT-ILR: Image Pyramid Transformer Coupled With Information Loss Regularization for All-in-One Image Restoration.
IEEE Trans. Circuits Syst. Video Technol.
Sai Yang, Bin Hu, Fan Liu, Xiaoxin Wu, Weiping Ding, Jun Zhou
2025 A* conf
InsTaG: Learning Personalized 3D Talking Head from Few-Second Video.
CVPR
Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Jun Zhou, Lin Gu
2025 J jnl
InsTaG: Learning Personalized 3D Talking Head from Few-Second Video.
CoRR
Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Jun Zhou, Lin Gu
2025 J jnl
Iterative Low-rank Network for Hyperspectral Image Denoising.
CoRR
Jin Ye, Fengchao Xiong, Jun Zhou, Yuntao Qian
2025 J jnl
Language-Enhanced Dual-Level Contrastive Learning Network for Open-Set Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Boao Qin, Shou Feng, Chunhui Zhao, Wei Li, Ran Tao, Jun Zhou
2025 J jnl
Multi-domain universal representation learning for hyperspectral object tracking.
Pattern Recognit.
Zhuanfeng Li, Fengchao Xiong, Jianfeng Lu, Jing Wang, Diqi Chen, Jun Zhou, Yuntao Qian
2025 A conf
Pixel-Wise Shuffling with Collaborative Sparsity for Melanoma Hyperspectral Image Classification.
WACV
Favour Ekong, Jun Zhou, Kwabena Sarpong, Yongsheng Gao
2025 J jnl
Power Line Aerial Image Restoration Under Adverse Weather: Datasets and Baselines.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Sai Yang, Bin Hu, Bojun Zhou, Fan Liu, Xiaoxin Wu, Xinsong Zhang, Juping Gu, Jun Zhou
2025 A* conf
SATA: Spatial Autocorrelation Token Analysis for Enhancing the Robustness of Vision Transformers.
CVPR
Nick Nikzad, Yi Liao, Yongsheng Gao, Jun Zhou
2025 J jnl
SUIT: Spatial-Spectral Union-Intersection Interaction Network for Hyperspectral Object Tracking.
IEEE Trans. Image Process.
Fengchao Xiong, Zhenxing Wu, Jun Zhou, Sen Jia, Yuntao Qian
2025 J jnl
Spatial-Spectral-Temporal Correlation Filter for Hyperspectral Object Tracking.
IEEE Trans. Geosci. Remote. Sens.
Fengchao Xiong, Yongle Sun, Jun Zhou, Jianfeng Lu, Yuntao Qian
2025 J jnl
TraNCE: Transformative Non-linear Concept Explainer for CNNs.
CoRR
Ugochukwu Ejike Akpudo, Yongsheng Gao, Jun Zhou, Andrew Lewis
2025 J jnl
TraNCE: Transformative Nonlinear Concept Explainer for CNNs.
IEEE Trans. Neural Networks Learn. Syst.
Ugochukwu Ejike Akpudo, Yongsheng Gao, Jun Zhou, Andrew Lewis
2025 J jnl
UBSTrack: Unified Band Selection and Multimodel Ensemble for Hyperspectral Object Tracking.
IEEE Trans. Geosci. Remote. Sens.
Mohammad Aminul Islam, Jun Zhou, Wangzhi Xing, Yongsheng Gao, Kuldip K. Paliwal
2025 A* conf
UEMM-Air: Enable UAVs to Undertake More Multi-modal Tasks.
ACM Multimedia
Liang Yao, Fan Liu, Shengxiang Xu, Chuanyi Zhang, Shimin Di, Xing Ma, Jianyu Jiang, Zequan Wang, Jun Zhou
2025 J jnl
Visual Explanation via Similar Feature Activation for Metric Learning.
CoRR
Yi Liao, Ugochukwu Ejike Akpudo, Jue Zhang, Yongsheng Gao, Jun Zhou, Wenyi Zeng, Weichuan Zhang
2024 — conf
A Encoder-Decoder Framework for Foundation Model-based Remote Sensing Semantic Segmentation.
MMAsia Workshops
Jiale Zhu, Liang Yao, Fan Liu, Chuanyi Zhang, Chunmei Shen, Jun Zhou
2024 Misc conf
A New Hyperspectral Unmixing Benchmark for Weak Signal Meat Contamination Detection.
DICTA
Zekun Long, Ali Zia, Jordi Nelis, Vivien Rolland, Jun Zhou
2024 J jnl
A cross-modal feature aggregation and enhancement network for hyperspectral and LiDAR joint classification.
Expert Syst. Appl.
Yiyan Zhang, Hongmin Gao, Jun Zhou, Chenkai Zhang, Pedram Ghamisi, Shufang Xu, Chenming Li, Bing Zhang
2024 B conf
Bidfuse: Harnessing Bi-Directional Attention with Modality-Specific Encoders for Infrared-Visible Image Fusion.
ICIP
Wangzhi Xing, Diqi Chen, Mohammad Aminul Islam, Jun Zhou
2024 J jnl
CSA-Net: Channel-wise Spatially Autocorrelated Attention Networks.
CoRR
Nick Nikzad, Yongsheng Gao, Jun Zhou
2024 J jnl
CasFormer: Cascaded transformers for fusion-aware computational hyperspectral imaging.
Inf. Fusion
Chenyu Li, Bing Zhang, Danfeng Hong, Jun Zhou, Gemine Vivone, Shutao Li, Jocelyn Chanussot
2024 A conf
Coherentice: Invertible Concept-Based Explainability Framework for CNNs beyond Fidelity.
ICME
Ugochukwu Ejike Akpudo, Yongsheng Gao, Jun Zhou, Andrew Lewis
2024 A* conf
DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization.
CVPR
Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu
2024 J jnl
DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization.
CoRR
Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu
2024 J jnl
Diffusion-Model-Based Hyperspectral Unmixing Using Spectral Prior Distribution.
IEEE Trans. Geosci. Remote. Sens.
Keli Deng, Yuntao Qian, Jie Nie, Jun Zhou
2024 J jnl
ER-NeRF++: Efficient region-aware Neural Radiance Fields for high-fidelity talking portrait synthesis.
Inf. Fusion
Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Jun Zhou, Lin Gu
2024 — conf
Feature-weighted Multi-stage Bayesian Prototype for Few-shot Classification.
MMAsia
Xiaocong Zhou, Fan Liu, Chuanyi Zhang, Feifan Li, Wenwen Cai, Jun Zhou
2024 J jnl
Few-Shot Classification Model Compression via School Learning.
IEEE Trans. Circuits Syst. Video Technol.
Sai Yang, Fan Liu, Delong Chen, Huaxi Huang, Jun Zhou
2024 J jnl
Few-Shot Hyperspectral Image Classification Using Relational Generative Adversarial Network.
IEEE Trans. Geosci. Remote. Sens.
Wei Wei, Lei Tong, Baoqing Guo, Jun Zhou, Chuangbai Xiao
2024 J jnl
Few-shot classification guided by generalization error bound.
Pattern Recognit.
Fan Liu, Sai Yang, Delong Chen, Huaxi Huang, Jun Zhou
2024 — conf
FreqFormer: A Frequency Transformer for Semantic Segmentation of Remote Sensing Images.
MMAsia
Xin Li, Feng Xu, Yao Tong, Fan Liu, Yiwei Fang, Xin Lyu, Jun Zhou
2024 J jnl
HSIMamba: Hyperpsectral Imaging Efficient Feature Learning with Bidirectional State Space for Classification.
CoRR
Judy X. Yang, Jun Zhou, Jing Wang, Hui Tian, Alan Wee-Chung Liew
2024 J jnl
Hy-Tracker: A Novel Framework for Enhancing Efficiency and Accuracy of Object Tracking in Hyperspectral Videos.
IEEE Trans. Geosci. Remote. Sens.
Mohammad Aminul Islam, Wangzhi Xing, Jun Zhou, Yongsheng Gao, Kuldip K. Paliwal
2024 J jnl
Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer.
CoRR
Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Jiantao Zhou, Yuntao Qian
2024 J jnl
Hyperspectral Image Denoising via Spatial-Spectral Recurrent Transformer.
IEEE Trans. Geosci. Remote. Sens.
Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Jiantao Zhou, Yuntao Qian
2024 J jnl
Hyperspectral Images Efficient Spatial and Spectral non-Linear Model with Bidirectional Feature Learning.
CoRR
Judy X. Yang, Jing Wang, Zekun Long, Chenhong Sui, Jun Zhou
2024 J jnl
Iterative Low-Rank Network for Hyperspectral Image Denoising.
IEEE Trans. Geosci. Remote. Sens.
Jin Ye, Fengchao Xiong, Jun Zhou, Yuntao Qian
2024 J jnl
Learning From Human Attention for Attribute-Assisted Visual Recognition.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiao Bai, Pengcheng Zhang, Xiaohan Yu, Jin Zheng, Edwin R. Hancock, Jun Zhou, Lin Gu
2024 J jnl
LiDAR-Guided Cross-Attention Fusion for Hyperspectral Band Selection and Image Classification.
CoRR
Judy X. Yang, Jun Zhou, Jing Wang, Hui Tian, Alan Wee-Chung Liew
2024 J jnl
LiDAR-Guided Cross-Attention Fusion for Hyperspectral Band Selection and Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Judy X. Yang, Jun Zhou, Jing Wang, Hui Tian, Alan Wee-Chung Liew
2024 Misc conf
LinCNNFormer: Hybrid Linear Vision Transformer Based on Convolution Neural Network and Linear Attention.
DICTA
Edwin Kwadwo Tenagyei, Yongsheng Gao, Andrew Lewis, Nick Nikzad, Jun Zhou
2024 J jnl
Mask-Guided Local-Global Attentive Network for Change Detection in Remote Sensing Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Fengchao Xiong, Tianhan Li, Jingzhou Chen, Jun Zhou, Yuntao Qian
2024 J jnl
Material-Guided Multiview Fusion Network for Hyperspectral Object Tracking.
IEEE Trans. Geosci. Remote. Sens.
Zhuanfeng Li, Fengchao Xiong, Jun Zhou, Jianfeng Lu, Zhuang Zhao, Yuntao Qian
2024 J jnl
Power Line Aerial Image Restoration under dverse Weather: Datasets and Baselines.
CoRR
Sai Yang, Bin Hu, Bojun Zhou, Fan Liu, Xiaoxin Wu, Xinsong Zhang, Juping Gu, Jun Zhou
2024 — ed.
Proceedings of the 6th ACM International Conference on Multimedia in Asia, MMAsia 2024, Auckland, New Zealand, December 3-6, 2024
MMAsia
Ruili Wang, Zhiyong Wang, Jiaying Liu, Alberto Del Bimbo, Jun Zhou, Anup Basu, Min Xu
2024 — ed.
Proceedings of the 6th ACM International Conference on Multimedia in Asia, Workshops, MMAsia 2024, Auckland, New Zealand, December 3-6, 2024
MMAsia Workshops
Ruili Wang, Zhiyong Wang, Jiaying Liu, Alberto Del Bimbo, Jun Zhou, Anup Basu, Min Xu
2024 J jnl
Prototypical Network With Residual Capsule for Few-Shot Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Ruihan Fan, Lei Tong, Jun Zhou, Baoqing Guo, Chuangbai Xiao
2024 J jnl
RemoteCLIP: A Vision Language Foundation Model for Remote Sensing.
IEEE Trans. Geosci. Remote. Sens.
Fan Liu, Delong Chen, Zhangqingyun Guan, Xiaocong Zhou, Jiale Zhu, Qiaolin Ye, Liyong Fu, Jun Zhou
2024 C conf
Robust Learning to Noisy Labels for Semantic Segmentation of Mangrove Communities in Remote Sensing Imagery.
IGARSS
Mitsuyoshi Otsu, Jun Zhou
2024 J jnl
SATA: Spatial Autocorrelation Token Analysis for Enhancing the Robustness of Vision Transformers.
CoRR
Nick Nikzad, Yi Liao, Yongsheng Gao, Jun Zhou
2024 J jnl
SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising.
CoRR
Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian
2024 J jnl
SSUMamba: Spatial-Spectral Selective State Space Model for Hyperspectral Image Denoising.
IEEE Trans. Geosci. Remote. Sens.
Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou
2024 J jnl
Semantic Segmentation of Remote Sensing Images by Interactive Representation Refinement and Geometric Prior-Guided Inference.
IEEE Trans. Geosci. Remote. Sens.
Xin Li, Feng Xu, Fan Liu, Yao Tong, Xin Lyu, Jun Zhou
2024 C conf
Semantic-Aware Alignment Network for Cross-Resolution Change Detection.
IGARSS
Yijun Zhang, Fengchao Xiong, Jianfeng Lu, Minchao Ye, Jun Zhou, Yuntao Qian
2024 J jnl
Spectral-Spatial Large Kernel Attention Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Chunran Wu, Lei Tong, Jun Zhou, Chuangbai Xiao
2024 — conf
TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting.
ECCV (10)
Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu
2024 J jnl
TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting.
CoRR
Jiahe Li, Jiawei Zhang, Xiao Bai, Jin Zheng, Xin Ning, Jun Zhou, Lin Gu
2024 J jnl
Unsupervised Band Selection Using Fused HSI and LiDAR Attention Integrating With Autoencoder.
CoRR
Judy X. Yang, Jun Zhou, Jing Wang, Hui Tian, Alan Wee-Chung Liew
2024 J jnl
Wavelet Siamese Network With Semi-Supervised Domain Adaptation for Remote Sensing Image Change Detection.
IEEE Trans. Geosci. Remote. Sens.
Fengchao Xiong, Tianhan Li, Yi Yang, Jun Zhou, Jianfeng Lu, Yuntao Qian
2024 J jnl
Weakly Supervised Solar Panel Mapping via Uncertainty Adjusted Label Transition in Aerial Images.
IEEE Trans. Image Process.
Jue Zhang, Xiuping Jia, Jun Zhou, Junpeng Zhang, Jiankun Hu
2023 J jnl
A Synergistical Attention Model for Semantic Segmentation of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens.
Xin Li, Feng Xu, Fan Liu, Xin Lyu, Yao Tong, Zhennan Xu, Jun Zhou
2023 J jnl
Attribute subspaces for zero-shot learning.
Pattern Recognit.
Lei Zhou, Yang Liu, Xiao Bai, Na Li, Xiaohan Yu, Jun Zhou, Edwin R. Hancock
2023 J jnl
Background-Aware Band Selection for Object Tracking in Hyperspectral Videos.
IEEE Geosci. Remote. Sens. Lett.
Mohammad Aminul Islam, Jun Zhou, Weichuan Zhang, Yongsheng Gao
2023 J jnl
Camera and LiDAR Fusion for Urban Scene Reconstruction and Novel View Synthesis via Voxel-Based Neural Radiance Fields.
Remote. Sens.
Xuanzhu Chen, Zhenbo Song, Jun Zhou, Dong Xie, Jianfeng Lu
2023 J jnl
CrowdMLP: Weakly-supervised crowd counting via multi-granularity MLP.
Pattern Recognit.
Mingjie Wang, Jun Zhou, Hao Cai, Minglun Gong
2023 J jnl
Deep Parameterized Neural Networks for Hyperspectral Image Denoising.
IEEE Trans. Geosci. Remote. Sens.
Fengchao Xiong, Jun Zhou, Jiantao Zhou, Jianfeng Lu, Yuntao Qian
2023 A* conf
Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis.
ICCV
Jiahe Li, Jiawei Zhang, Xiao Bai, Jun Zhou, Lin Gu
2023 J jnl
Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis.
CoRR
Jiahe Li, Jiawei Zhang, Xiao Bai, Jun Zhou, Lin Gu
2023 A* conf
Few-shot Classification via Ensemble Learning with Multi-Order Statistics.
IJCAI
Sai Yang, Fan Liu, Delong Chen, Jun Zhou
2023 J jnl
Few-shot Classification via Ensemble Learning with Multi-Order Statistics.
CoRR
Sai Yang, Fan Liu, Delong Chen, Jun Zhou
2023 J jnl
Guest Editorial: Spectral imaging powered computer vision.
IET Comput. Vis.
Jun Zhou, Fengchao Xiong, Lei Tong, Naoto Yokoya, Pedram Ghamisi
2023 J jnl
High Spectral Spatial Resolution Synthetic HyperSpectral Dataset form multi-source fusion.
CoRR
Yajie Sun, Ali Zia, Jun Zhou
2023 J jnl
Hy-Tracker: A Novel Framework for Enhancing Efficiency and Accuracy of Object Tracking in Hyperspectral Videos.
CoRR
Mohammad Aminul Islam, Wangzhi Xing, Jun Zhou, Yongsheng Gao, Kuldip K. Paliwal
2023 J jnl
Information bottleneck and selective noise supervision for zero-shot learning.
Mach. Learn.
Lei Zhou, Yang Liu, Pengcheng Zhang, Xiao Bai, Lin Gu, Jun Zhou, Yazhou Yao, Tatsuya Harada, Jin Zheng, Edwin R. Hancock
2023 A conf
Iterative Refinement Network for Hyperspectral Image Denoising.
ICME
Fengchao Xiong, Jun Zhou, Zhuang Zhao, Yuntao Qian
2023 J jnl
Learning a Deep Ensemble Network With Band Importance for Hyperspectral Object Tracking.
IEEE Trans. Image Process.
Zhuanfeng Li, Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian
2023 J jnl
Learning consistent region features for lifelong person re-identification.
Pattern Recognit.
Jinze Huang, Xiaohan Yu, Dong An, Yaoguang Wei, Xiao Bai, Jin Zheng, Chen Wang, Jun Zhou
2023 — conf
Multi Modality Siamese Feature Fusion Transformer Tracker for Object Tracking from Hyperspectral Videos.
WHISPERS
Mohammad Aminul Islam, Wangzhi Xing, Jun Zhou
2023 C conf
Multi-Task Attentional U-Net for Hyperspectral Image Denoising.
IGARSS
Fengchao Xiong, Zhongyi Gu, Wenbin Zheng, Tianhan Li, Jun Zhou
2023 B conf
Multiscale Representations Learning Transformer Framework for Point Cloud Classification.
ICIP
Yajie Sun, Ali Zia, Jun Zhou
2023 J jnl
Multitask Sparse Representation Model-Inspired Network for Hyperspectral Image Denoising.
IEEE Trans. Geosci. Remote. Sens.
Fengchao Xiong, Jiantao Zhou, Jun Zhou, Jianfeng Lu, Yuntao Qian
2023 Misc conf
NCAF: NTD-based Concept Activation Factorisation Framework for CNN Explainability.
IVCNZ
Ugochukwu Ejike Akpudo, Xiaohan Yu, Jun Zhou, Yongsheng Gao
2023 J jnl
RemoteCLIP: A Vision Language Foundation Model for Remote Sensing.
CoRR
Fan Liu, Delong Chen, Zhangqingyun Guan, Xiaocong Zhou, Jiale Zhu, Jun Zhou
2023 J jnl
Self-Supervised Spectral-Spatial Graph Prototypical Network for Few-Shot Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Shan Ma, Lei Tong, Jun Zhou, Jing Yu, Chuangbai Xiao
2023 J jnl
SiamBAG: Band Attention Grouping-Based Siamese Object Tracking Network for Hyperspectral Videos.
IEEE Trans. Geosci. Remote. Sens.
Wei Li, Zengfu Hou, Jun Zhou, Ran Tao
2023 J jnl
Spatial-Spectral Split Attention Residual Network for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Zhenqiu Shu, Zigao Liu, Jun Zhou, Songze Tang, Zhengtao Yu, Xiaojun Wu
2023 J jnl
Spectral 3D Computer Vision - A Review.
CoRR
Yajie Sun, Ali Zia, Vivien Rolland, Charissa Yu, Jun Zhou
2023 J jnl
Toward Universal Representation Learning for Multidomain Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Jing Wang, Jun Zhou, Xinwen Liu
2023 C conf
Wavelet Siamese Network for Change Detection in Remote Sensing Images.
IGARSS
Tianhan Li, Fengchao Xiong, Wenbin Zheng, Zhuanfeng Li, Jun Zhou, Yuntao Qian
2023 Misc conf
What EXACTLY are We Looking at?: Investigating for Discriminance in Ultra-Fine-Grained Visual Categorization Tasks.
DICTA
Ugochukwu Ejike Akpudo, Xiaohan Yu, Jun Zhou, Yongsheng Gao
2022 J jnl
3D data computation and visualization.
Displays
Xiao Bai, Jun Zhou, Xin Ning, Chen Wang
2022 Misc conf
A Generalized Kernel Risk Sensitive Loss for Robust Two-Dimensional Singular Value Decomposition.
ICASSP
Miaohua Zhang, Yongsheng Gao, Jun Zhou
2022 J jnl
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects.
IEEE Trans. Neural Networks Learn. Syst.
Zewen Li, Fan Liu, Wenjie Yang, Shouheng Peng, Jun Zhou
2022 J jnl
A review of driver fatigue detection and its advances on the use of RGB-D camera and deep learning.
Eng. Appl. Artif. Intell.
Fan Liu, Delong Chen, Jun Zhou, Feng Xu
2022 J jnl
An Attention-Based Lattice Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Mohammad Nikzad, Yongsheng Gao, Jun Zhou
2022 J jnl
Beyond Triplet Loss: Person Re-Identification With Fine-Grained Difference-Aware Pairwise Loss.
IEEE Trans. Multim.
Cheng Yan, Guansong Pang, Xiao Bai, Changhong Liu, Xin Ning, Lin Gu, Jun Zhou
2022 J jnl
Cycle-autoencoder based block-sparse joint representation for single sample face recognition.
Comput. Electr. Eng.
Fan Liu, Fei Wang, Yu Wang, Jun Zhou, Feng Xu
2022 J jnl
Fusion of Hyperspectral and Multispectral Images Accounting for Localized Inter-Image Changes.
IEEE Trans. Geosci. Remote. Sens.
Xiyou Fu, Sen Jia, Meng Xu, Jun Zhou, Qingquan Li
2022 J jnl
Gradient Feature-Oriented 3-D Domain Adaptation for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Sen Jia, Xiaomei Liu, Meng Xu, Qiao Yan, Jun Zhou, Xiuping Jia, Qingquan Li
2022 J jnl
Hyperspectral Image Restoration With Self-Supervised Learning: A Two-Stage Training Approach.
IEEE Trans. Geosci. Remote. Sens.
Yuntao Qian, Honglin Zhu, Ling Chen, Jun Zhou
2022 B conf
Learning Hierarchical Semantic Correspondences for Cross-Modal Image-Text Retrieval.
ICMR
Sheng Zeng, Changhong Liu, Jun Zhou, Yong Chen, Aiwen Jiang, Hanxi Li
2022 C conf
Learning Uncertainty-Aware Label Transition for Weakly Supervised Solar Panel Mapping with Aerial Images.
IGARSS
Jue Zhang, Xiuping Jia, Jun Zhou, Jiankun Hu
2022 J jnl
Learning multi-view visual correspondences with self-supervision.
Displays
Pengcheng Zhang, Lei Zhou, Xiao Bai, Chen Wang, Jun Zhou, Liang Zhang, Jin Zheng
2022 J jnl
MAC-Net: Model-Aided Nonlocal Neural Network for Hyperspectral Image Denoising.
IEEE Trans. Geosci. Remote. Sens.
Fengchao Xiong, Jun Zhou, Qinling Zhao, Jianfeng Lu, Yuntao Qian
2022 Misc conf
Material-Guided Siamese Fusion Network for Hyperspectral Object Tracking.
ICASSP
Zhuanfeng Li, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian
2022 Misc conf
Multitask Sparse Neural Network for Hyperspectral Image Denoising.
ICASSP
Fengchao Xiong, Minchao Ye, Jun Zhou, Jianfeng Lu, Yuntao Qian
2022 J jnl
Nonlocal Spatial-Spectral Neural Network for Hyperspectral Image Denoising.
IEEE Trans. Geosci. Remote. Sens.
Guanyiman Fu, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian
2022 J jnl
PP-StructureV2: A Stronger Document Analysis System.
CoRR
Chenxia Li, Ruoyu Guo, Jun Zhou, Mengtao An, Yuning Du, Lingfeng Zhu, Yi Liu, Xiaoguang Hu, Dianhai Yu
2022 — ed.
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.
CDCEO@IJCAI
Aleksandra Gruca, Caleb Robinson, Naoto Yokoya, Jun Zhou, Pedram Ghamisi
2022 A* conf
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective.
CVPR
Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock
2022 J jnl
Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective.
CoRR
Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock
2022 J jnl
SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising.
IEEE Trans. Image Process.
Fengchao Xiong, Jun Zhou, Shuyin Tao, Jianfeng Lu, Jiantao Zhou, Yuntao Qian
2022 J jnl
SNMF-Net: Learning a Deep Alternating Neural Network for Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens.
Fengchao Xiong, Jun Zhou, Shuyin Tao, Jianfeng Lu, Yuntao Qian
2022 — conf
Similarity-Based Hyperspectral Band Selection Using Deep Reinforcement Learning.
WHISPERS
Dong Bao, Gervase Tuxworth, Jun Zhou
2022 J jnl
Sparsity Constrained Fusion of Hyperspectral and Multispectral Images.
IEEE Geosci. Remote. Sens. Lett.
Xiyou Fu, Sen Jia, Meng Xu, Jun Zhou, Qingquan Li
2022 C conf
Spatial-Spectral Convolutional Sparse Neural Network for Hyperspectral Image Denoising.
IGARSS
Fengchao Xiong, Minchao Ye, Jun Zhou, Yuntao Qian
2022 J jnl
Spatial-Spectral Weighted and Regularized Tensor Sparse Correlation Filter for Object Tracking in Hyperspectral Videos.
IEEE Trans. Geosci. Remote. Sens.
Zengfu Hou, Wei Li, Jun Zhou, Ran Tao
2022 J jnl
Spectral-Spatial Boundary Detection in Hyperspectral Images.
IEEE Trans. Image Process.
Suhad Lateef Al-Khafaji, Jun Zhou, Xiao Bai, Yuntao Qian, Alan Wee-Chung Liew
2022 J jnl
Stochastic Depth Residual Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Zheng Gao, Lei Tong, Jun Zhou, Bin Qian, Jing Yu, Chuangbai Xiao
2022 J jnl
Superpixel Spectral-Spatial Feature Fusion Graph Convolution Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Zhi Gong, Lei Tong, Jun Zhou, Bin Qian, Lijuan Duan, Chuangbai Xiao
2022 J jnl
Transferable Convolutional Neural Network for Weed Mapping With Multisensor Imagery.
IEEE Trans. Geosci. Remote. Sens.
Adnan Farooq, Xiuping Jia, Jiankun Hu, Jun Zhou
2022 J jnl
Uncertainty estimation for stereo matching based on evidential deep learning.
Pattern Recognit.
Chen Wang, Xiang Wang, Jiawei Zhang, Liang Zhang, Xiao Bai, Xin Ning, Jun Zhou, Edwin R. Hancock
2022 J jnl
Unsupervised Hyperspectral Band Selection With Multigraph Integrated Embedding and Robust Self-Contained Regression.
IEEE Trans. Geosci. Remote. Sens.
Chenhong Sui, Jun Zhou, Chang Li, Qiang Zheng, Jie Feng, Xiaoguang Mei, Jing Wang
2022 J jnl
Unsupervised Spatial-Spectral CNN-Based Feature Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Shuyu Zhang, Meng Xu, Jun Zhou, Sen Jia
2022 — conf
Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification.
ECCV (24)
Yang Liu, Lei Zhou, Pengcheng Zhang, Xiao Bai, Lin Gu, Xiaohan Yu, Jun Zhou, Edwin R. Hancock
2021 J jnl
A Lightweight Convolutional Neural Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Sen Jia, Zhijie Lin, Meng Xu, Qiang Huang, Jun Zhou, Xiuping Jia, Qingquan Li
2021 J jnl
A unified weight learning and low-rank regression model for robust complex error modeling.
Pattern Recognit.
Miaohua Zhang, Yongsheng Gao, Jun Zhou
2021 A* conf
Attention-based Pyramid Dilated Lattice Network for Blind Image Denoising.
IJCAI
Mohammad Nikzad, Yongsheng Gao, Jun Zhou
2021 J jnl
Composite description based on color vector quantization and visual primary features for CBIR tasks.
Multim. Tools Appl.
M. Daud Abdullah Asif, Jing Wang, Yongsheng Gao, Jun Zhou
2021 J jnl
Discriminant Tensor-Based Manifold Embedding for Medical Hyperspectral Imagery.
IEEE J. Biomed. Health Informatics
Meng Lv, Wei Li, Tianhong Chen, Jun Zhou, Ran Tao
2021 Misc conf
Early Detection of Sugarcane Smut Disease in Hyperspectral Images.
IVCNZ
Dong Bao, Jun Zhou, Shamsul Arafin Bhuiyan, Ali Zia, Rebecca Ford, Yongsheng Gao
2021 J jnl
Exploring Chromatic Aberration and Defocus Blur for Relative Depth Estimation From Monocular Hyperspectral Image.
IEEE Trans. Image Process.
Ali Zia, Jun Zhou, Yongsheng Gao
2021 J jnl
Flexible Gabor-Based Superpixel-Level Unsupervised LDA for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Sen Jia, Qingqing Zhao, Jiayue Zhuang, Dingding Tang, Yaqian Long, Meng Xu, Jun Zhou, Qingquan Li
2021 A* conf
Goal-Oriented Gaze Estimation for Zero-Shot Learning.
CVPR
Yang Liu, Lei Zhou, Xiao Bai, Yifei Huang, Lin Gu, Jun Zhou, Tatsuya Harada
2021 J jnl
Goal-Oriented Gaze Estimation for Zero-Shot Learning.
CoRR
Yang Liu, Lei Zhou, Xiao Bai, Yifei Huang, Lin Gu, Jun Zhou, Tatsuya Harada
2021 J jnl
Hyperspectral Anomaly Detection via Deep Plug-and-Play Denoising CNN Regularization.
IEEE Trans. Geosci. Remote. Sens.
Xiyou Fu, Sen Jia, Lina Zhuang, Meng Xu, Jun Zhou, Qingquan Li
2021 C conf
Learning a Model-Based Deep Hyperspectral Denoiser from a Single Noisy Hyperspectral Image.
IGARSS
Guanyiman Fu, Fengchao Xiong, Shuyin Tao, Jianfeng Lu, Jun Zhou, Yuntao Qian
2021 — ed.
MMAsia '21: ACM Multimedia Asia, Gold Coast, Australia, December 1 - 3, 2021
MMAsia
Changwen Chen, Helen Huang, Jun Zhou, Tatsuya Harada, Jianfei Cai, Wu Liu, Dong Xu
2021 Misc conf
Multi-Resolution ResNet for Road and Bridge Crack Detection.
DICTA
Fereshteh Nayyeri, Jun Zhou
2021 J jnl
Multiple Feature-Based Superpixel-Level Decision Fusion for Hyperspectral and LiDAR Data Classification.
IEEE Trans. Geosci. Remote. Sens.
Sen Jia, Zhangwei Zhan, Meng Zhang, Meng Xu, Qiang Huang, Jun Zhou, Xiuping Jia
2021 Misc conf
NMF-SAE: An Interpretable Sparse Autoencoder for Hyperspectral Unmixing.
ICASSP
Fengchao Xiong, Jun Zhou, Minchao Ye, Jianfeng Lu, Yuntao Qian
2021 J jnl
Parameter-Efficient Deep Neural Networks With Bilinear Projections.
IEEE Trans. Neural Networks Learn. Syst.
Litao Yu, Yongsheng Gao, Jun Zhou, Jian Zhang
2021 J jnl
Self-Supervised Multiscale Adversarial Regression Network for Stereo Disparity Estimation.
IEEE Trans. Cybern.
Chen Wang, Xiao Bai, Xiang Wang, Xianglong Liu, Jun Zhou, Xinyu Wu, Hongdong Li, Dacheng Tao
2021 C conf
Spectral and Spatial Residual Attention Network for Joint Hyperspectral and Lidar Data Classification.
IGARSS
Jing Wang, Jun Zhou, Xinwen Liu, Farah Jahan
2021 — conf
Spectral-Spatial-Temporal Attention Network for Hyperspectral Tracking.
WHISPERS
Zhuanfeng Li, Xinhai Ye, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian
2020 — conf
A Deep Object Detection Method for Pineapple Fruit and Flower Recognition in Cluttered Background.
ICPRAI
Chen Wang, Jun Zhou, Chengyuan Xu, Xiao Bai
2020 J jnl
Adaptive Graph Regularized Multilayer Nonnegative Matrix Factorization for Hyperspectral Unmixing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Lei Tong, Jun Zhou, Bin Qian, Jing Yu, Chuangbai Xiao
2020 B conf
BAE-Net: A Band Attention Aware Ensemble Network for Hyperspectral Object Tracking.
ICIP
Zhuanfeng Li, Fengchao Xiong, Jun Zhou, Jing Wang, Jianfeng Lu, Yuntao Qian
2020 J jnl
Beyond Triplet Loss: Person Re-identification with Fine-grained Difference-aware Pairwise Loss.
CoRR
Cheng Yan, Guansong Pang, Xiao Bai, Jun Zhou, Lin Gu
2020 B conf
DE-Net: Dilated Encoder Network for Automated Tongue Segmentation.
ICPR
Hui Tang, Bin Wang, Jun Zhou, Yongsheng Gao
2020 A* conf
Deep Residual-Dense Lattice Network for Speech Enhancement.
AAAI
Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip K. Paliwal, Fanhua Shang
2020 J jnl
Deep Residual-Dense Lattice Network for Speech Enhancement.
CoRR
Mohammad Nikzad, Aaron Nicolson, Yongsheng Gao, Jun Zhou, Kuldip K. Paliwal, Fanhua Shang
2020 J jnl
Dropout with Tabu Strategy for Regularizing Deep Neural Networks.
Comput. J.
Zongjie Ma, Abdul Sattar, Jun Zhou, Qingliang Chen, Kaile Su
2020 B conf
Fast Subspace Clustering Based on the Kronecker Product.
ICPR
Lei Zhou, Xiao Bai, Liang Zhang, Jun Zhou, Edwin R. Hancock
2020 J jnl
Inverse Coefficient of Variation Feature and Multilevel Fusion Technique for Hyperspectral and LiDAR Data Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Farah Jahan, Jun Zhou, Mohammad Awrangjeb, Yongsheng Gao
2020 J jnl
Learning binary code for fast nearest subspace search.
Pattern Recognit.
Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou, Edwin R. Hancock
2020 Misc conf
M
DICTA
Xinhai Ye, Fengchao Xiong, Jianfeng Lu, Haifeng Zhao, Jun Zhou
2020 J jnl
Material Based Object Tracking in Hyperspectral Videos.
IEEE Trans. Image Process.
Fengchao Xiong, Jun Zhou, Yuntao Qian
2020 B conf
Matrix Classifier On Dynamic Functional Connectivity For Mci Identification.
ICIP
Lei Zhou, Liang Zhang, Xiao Bai, Jun Zhou
2020 J jnl
Multi-layer Feature Aggregation for Deep Scene Parsing Models.
CoRR
Litao Yu, Yongsheng Gao, Jun Zhou, Jian Zhang, Qiang Wu
2020 J jnl
Nonconvex Nonseparable Sparse Nonnegative Matrix Factorization for Hyperspectral Unmixing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Fengchao Xiong, Jun Zhou, Jianfeng Lu, Yuntao Qian
2020 C conf
Nonlocal Low-Rank Nonnegative Tensor Factorization for Hyperspectral Unmixing.
IGARSS
Fengchao Xiong, Kun Qian, Jianfeng Lu, Jun Zhou, Yuntao Qian
2020 J jnl
On agricultural drought monitoring in Australia using Himawari-8 geostationary thermal infrared observations.
Int. J. Appl. Earth Obs. Geoinformation
Tian Hu, Albert I. J. M. van Dijk, Luigi J. Renzullo, Zhihong Xu, Jie He, Siyuan Tian, Jun Zhou, Hua Li
2020 J jnl
Parameter Efficient Deep Neural Networks with Bilinear Projections.
CoRR
Litao Yu, Yongsheng Gao, Jun Zhou, Jian Zhang
2020 J jnl
Progressive Transfer Learning and Adversarial Domain Adaptation for Cross-Domain Skin Disease Classification.
IEEE J. Biomed. Health Informatics
Yanyang Gu, Zongyuan Ge, C. Paul Bonnington, Jun Zhou
2020 J jnl
SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising.
CoRR
Fengchao Xiong, Jun Zhou, Shuyin Tao, Jianfeng Lu, Jiantao Zhou, Yuntao Qian
2020 J jnl
Spectral Mixture Model Inspired Network Architectures for Hyperspectral Unmixing.
IEEE Trans. Geosci. Remote. Sens.
Yuntao Qian, Fengchao Xiong, Qipeng Qian, Jun Zhou
2020 J jnl
Subspace Structure Regularized Nonnegative Matrix Factorization for Hyperspectral Unmixing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Lei Zhou, Xueni Zhang, Jianbo Wang, Xiao Bai, Lei Tong, Liang Zhang, Jun Zhou, Edwin R. Hancock
2020 J jnl
Superpixel-Level Weighted Label Propagation for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Sen Jia, Xianglong Deng, Meng Xu, Jun Zhou, Xiuping Jia
2020 J jnl
ℱ3-Net: Feature Fusion and Filtration Network for Object Detection in Optical Remote Sensing Images.
Remote. Sens.
Xinhai Ye, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian
2019 J jnl
3-D Gaussian-Gabor Feature Extraction and Selection for Hyperspectral Imagery Classification.
IEEE Trans. Geosci. Remote. Sens.
Sen Jia, Jiayue Zhuang, Lin Deng, Jiasong Zhu, Meng Xu, Jun Zhou, Xiuping Jia
2019 B conf
A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks.
ICTAI
Dong Wang, Xiao Bai, Lei Zhou, Jun Zhou
2019 J jnl
A One-step Pruning-recovery Framework for Acceleration of Convolutional Neural Networks.
CoRR
Dong Wang, Lei Zhou, Xiao Bai, Jun Zhou
2019 Misc conf
Abundance-Guided Superpixels and Recurrent Neural Network for Hyperspectral Image Classification.
DICTA
Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew
2019 J jnl
Adaptive Unimodal Cost Volume Filtering for Deep Stereo Matching.
CoRR
Youmin Zhang, Yimin Chen, Xiao Bai, Jun Zhou, Kun Yu, Zhiwei Li, Kuiyuan Yang
2019 J jnl
Attend in Bands: Hyperspectral Band Weighting and Selection for Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Jing Wang, Jun Zhou, Weiqing Huang
2019 C conf
Attention Networks for Band Weighting And Selection In Hyperspectral Remote Sensing Image Classification.
IGARSS
Jing Wang, Jun Zhou, Weiqing Huang, Jackie Fang Chen
2019 — conf
Automatic Live and Dead Cell Classification via Hyperspectral Imaging.
WHISPERS
He Chen, Chee Meng Benjamin Ho, Haofei Wang, Say Hwa Tan, Chun-Xia Zhao, Nam-Trung Nguyen, Yongsheng Gao, Jun Zhou
2019 J jnl
Collaborative Representation-Based Multiscale Superpixel Fusion for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Sen Jia, Xianglong Deng, Jiasong Zhu, Meng Xu, Jun Zhou, Xiuping Jia
2019 J jnl
Conditional Random Field and Deep Feature Learning for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia, Jocelyn Chanussot, Yongsheng Gao
2019 J jnl
Cross-modal hashing with semantic deep embedding.
Neurocomputing
Cheng Yan, Xiao Bai, Shuai Wang, Jun Zhou, Edwin R. Hancock
2019 A* conf
Deep Hashing by Discriminating Hard Examples.
ACM Multimedia
Cheng Yan, Guansong Pang, Xiao Bai, Chunhua Shen, Jun Zhou, Edwin R. Hancock
2019 C conf
Deep Unfolded Iterative Shrinkage-Thresholding Model for Hyperspectral Unmixing.
IGARSS
Qipeng Qian, Fengchao Xiong, Jun Zhou
2019 — conf
Dynamic Material-Aware Object Tracking in Hyperspectral Videos.
WHISPERS
Fengchao Xiong, Jun Zhou, Jocelyn Chanussot, Yuntao Qian
2019 — conf
Efficient Local Search for Minimum Dominating Sets in Large Graphs.
DASFAA (2)
Yi Fan, Yongxuan Lai, Chengqian Li, Nan Li, Zongjie Ma, Jun Zhou, Longin Jan Latecki, Kaile Su
2019 J jnl
Foreground-background separation technique for crack detection.
Comput. Aided Civ. Infrastructure Eng.
Fereshteh Nayyeri, Lei Hou, Jun Zhou, Hong Guan
2019 C conf
Gradient-Based Pooling for Convolutional Neural Networks.
VCIP
Mohammad Nikzad, Yongsheng Gao, Jun Zhou
2019 C conf
Hyperspectral Image Classification Based on Non-Local Neural Networks.
IGARSS
Chen Wang, Xiao Bai, Lei Zhou, Jun Zhou
2019 J jnl
Hyperspectral Restoration via L
IEEE Trans. Geosci. Remote. Sens.
Fengchao Xiong, Jun Zhou, Yuntao Qian
2019 J jnl
Hyperspectral Unmixing via Total Variation Regularized Nonnegative Tensor Factorization.
IEEE Trans. Geosci. Remote. Sens.
Fengchao Xiong, Yuntao Qian, Jun Zhou, Yuan Yan Tang
2019 J jnl
Influence of emissivity angular variation on land surface temperature retrieved using the generalized split-window algorithm.
Int. J. Appl. Earth Obs. Geoinformation
Tian Hu, Hua Li, Biao Cao, Albert I. J. M. van Dijk, Luigi J. Renzullo, Zhihong Xu, Jun Zhou, Yongming Du, Qinhuo Liu
2019 B conf
Insect Classification Using Squeeze-and-Excitation and Attention Modules - a Benchmark Study.
ICIP
Yoon Jin Park, Gervase Tuxworth, Jun Zhou
2019 — conf
Knowledge Transfer via Convolution Neural Networks for Multi-Resolution Lawn Weed Classification.
WHISPERS
Adnan Farooq, Xiuping Jia, Jiankun Hu, Jun Zhou
2019 A* conf
Latent Distribution Preserving Deep Subspace Clustering.
IJCAI
Lei Zhou, Xiao Bai, Dong Wang, Xianglong Liu, Jun Zhou, Edwin R. Hancock
2019 J jnl
Multi-Resolution Weed Classification via Convolutional Neural Network and Superpixel Based Local Binary Pattern Using Remote Sensing Images.
Remote. Sens.
Adnan Farooq, Xiuping Jia, Jiankun Hu, Jun Zhou
2019 J jnl
Multiscale Visual Attention Networks for Object Detection in VHR Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett.
Chen Wang, Xiao Bai, Shuai Wang, Jun Zhou, Peng Ren
2019 J jnl
Self-Supervised deep homography estimation with invertibility constraints.
Pattern Recognit. Lett.
Chen Wang, Xiang Wang, Xiao Bai, Yun Liu, Jun Zhou
2019 C conf
Texture and Shape Features for Grass Weed Classification Using Hyperspectral Remote Sensing Images.
IGARSS
Adnan Farooq, Xiuping Jia, Jun Zhou
2018 — conf
A Hyperspectral Dermoscopy Dataset for Melanoma Detection.
OR 2.0/CARE/CLIP/ISIC@MICCAI
Yanyang Gu, Yi-Ping Partridge, Jun Zhou
2018 J jnl
A non-destructive determination of peroxide values, total nitrogen and mineral nutrients in an edible tree nut using hyperspectral imaging.
Comput. Electron. Agric.
Shahla Hosseini Bai, Iman Tahmasbian, Jun Zhou, Tio Nevenimo, Godfrey Hannet, David Walton, Bruce Randall, Tsvakai Gama, Helen M. Wallace
2018 J jnl
Adaptive hash retrieval with kernel based similarity.
Pattern Recognit.
Xiao Bai, Cheng Yan, Haichuan Yang, Lu Bai, Jun Zhou, Edwin Robert Hancock
2018 — conf
An Efficient Method for Boundary Detection from Hyperspectral Imagery.
S+SSPR
Suhad Lateef Al-Khafaji, Jun Zhou, Alan Wee-Chung Liew
2018 Misc conf
Band Weighting Network for Hyperspectral Image Classification.
DICTA
Jing Wang, Jun Zhou
2018 Misc conf
Bay Lobsters Moulting Stage Analysis Based on High-Order Texture Descriptor.
DICTA
M. Daud Abdullah Asif, Yongsheng Gao, Jun Zhou
2018 B conf
Binary Coding by Matrix Classifier for Efficient Subspace Retrieval.
ICMR
Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou
2018 J jnl
Corrections to "Dictionary Learning-Based Feature-Level Domain Adaptation for Cross-Scene Hyperspectral Image Classification".
IEEE Trans. Geosci. Remote. Sens.
Minchao Ye, Yuntao Qian, Jun Zhou, Yuan Yan Tang
2018 — conf
Cross-Model Retrieval with Reconstruct Hashing.
S+SSPR
Yun Liu, Cheng Yan, Xiao Bai, Jun Zhou
2018 — conf
Deep Homography Estimation with Pairwise Invertibility Constraint.
S+SSPR
Xiang Wang, Chen Wang, Xiao Bai, Yun Liu, Jun Zhou
2018 J jnl
Dropout with Tabu Strategy for Regularizing Deep Neural Networks.
CoRR
Zongjie Ma, Abdul Sattar, Jun Zhou, Qingliang Chen, Kaile Su
2018 J jnl
Exploring Linear Relationship in Feature Map Subspace for ConvNets Compression.
CoRR
Dong Wang, Lei Zhou, Xueni Zhang, Xiao Bai, Jun Zhou
2018 Misc conf
Face Recognition with Multi-channel Local Mesh High-order Pattern Descriptor and Convolutional Neural Network.
DICTA
M. Daud Abdullah Asif, Yongsheng Gao, Jun Zhou
2018 J jnl
Fast Subspace Clustering Based on the Kronecker Product.
CoRR
Lei Zhou, Xiao Bai, Xianglong Liu, Jun Zhou, Edwin R. Hancock
2018 J jnl
Fusion of Hyperspectral and LiDAR Data Using Discriminant Correlation Analysis for Land Cover Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Farah Jahan, Jun Zhou, Mohammad Awrangjeb, Yongsheng Gao
2018 A* conf
Generative Adversarial Product Quantisation.
ACM Multimedia
Litao Yu, Yongsheng Gao, Jun Zhou
2018 B conf
Hyperspectral Imagery Denoising via Reweighed Sparse Low-Rank Nonnegative Tensor Factorization.
ICIP
Fengchao Xiong, Jun Zhou, Yuntao Qian
2018 — conf
Iterative Deep Subspace Clustering.
S+SSPR
Lei Zhou, Shuai Wang, Xiao Bai, Jun Zhou, Edwin R. Hancock
2018 J jnl
Material based salient object detection from hyperspectral images.
Pattern Recognit.
Jie Liang, Jun Zhou, Lei Tong, Xiao Bai, Bin Wang
2018 J jnl
Nonlocal Similarity Based Nonnegative Tucker Decomposition for Hyperspectral Image Denoising.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Xiao Bai, Fan Xu, Lei Zhou, Yan Xing, Lu Bai, Jun Zhou
2018 — conf
Object Tracking in Hyperspectral Videos with Convolutional Features and Kernelized Correlation Filter.
ICSM
Kun Qian, Jun Zhou, Fengchao Xiong, Huixin Zhou, Juan Du
2018 J jnl
Object Tracking in Hyperspectral Videos with Convolutional Features and Kernelized Correlation Filter.
CoRR
Kun Qian, Jun Zhou, Fengchao Xiong, Huixin Zhou, Juan Du
2018 — conf
Real- Time Computing for Droplet Detection and Recognition.
RCAR
Haifeng Zhao, Jun Zhou, Yanyang Gu, Chee Meng Benjamin Ho, Say Hwa Tan, Yongsheng Gao
2018 J jnl
Spectral-Spatial Scale Invariant Feature Transform for Hyperspectral Images.
IEEE Trans. Image Process.
Suhad Lateef Al-Khafaji, Jun Zhou, Ali Zia, Alan Wee-Chung Liew
2018 J jnl
Spectral-spatial features for material based object tracking in hyperspectral videos.
CoRR
Fengchao Xiong, Jun Zhou, Kun Qian, Yuntao Qian
2018 C conf
Superpixel-Based Nonnegative Tensor Factorization for Hyperspectral Unmixing.
IGARSS
Fengchao Xiong, Jingzhou Chen, Jun Zhou, Yuntao Qian
2018 — conf
Triplet Constrained Deep Feature Extraction for Hyperspectral Image Classification.
WHISPERS
Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Jun Jo, Yongsheng Gao
2017 Misc conf
An Automatic Technique for Power Line Pylon Detection from Point Cloud Data.
DICTA
Mohammad Awrangjeb, David Jonas, Jun Zhou
2017 Misc conf
Combining Unmixing and Deep Feature Learning for Hyperspectral Image Classification.
DICTA
Fahim Irfan Alam, Jun Zhou, Lei Tong, Alan Wee-Chung Liew, Yongsheng Gao
2017 J jnl
Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation.
CoRR
Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia, Jocelyn Chanussot, Yongsheng Gao
2017 — conf
Deep Residual Convolutional Neural Network for Hyperspectral Image Super-Resolution.
ICIG (3)
Chen Wang, Yun Liu, Xiao Bai, Wenzhong Tang, Peng Lei, Jun Zhou
2017 J jnl
Dictionary Learning-Based Feature-Level Domain Adaptation for Cross-Scene Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Minchao Ye, Yuntao Qian, Jun Zhou, Yuan Yan Tang
2017 J jnl
Differential weights-based band selection for hyperspectral image classification.
Int. J. Wavelets Multiresolution Inf. Process.
Yun Liu, Chen Wang, Yang Wang, Xiao Bai, Jun Zhou, Lu Bai
2017 J jnl
Exploring Structural Consistency in Graph Regularized Joint Spectral-Spatial Sparse Coding for Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Changhong Liu, Jun Zhou, Jie Liang, Yuntao Qian, Hanxi Li, Yongsheng Gao
2017 B conf
Heterogeneous face recognition via grassmannian based nearest subspace search.
ICIP
Yuan Tian, Cheng Yan, Xiao Bai, Jun Zhou
2017 — conf
Hierarchical Hashing for Image Retrieval.
CCCV (2)
Cheng Yan, Xiao Bai, Jun Zhou, Yun Liu
2017 Misc conf
Material Based Boundary Detection in Hyperspectral Images.
DICTA
Suhad Lateef Al-Khafaji, Ali Zia, Jun Zhou, Alan Wee-Chung Liew
2017 J jnl
Matrix-Vector Nonnegative Tensor Factorization for Blind Unmixing of Hyperspectral Imagery.
IEEE Trans. Geosci. Remote. Sens.
Yuntao Qian, Fengchao Xiong, Shan Zeng, Jun Zhou, Yuan Yan Tang
2017 A conf
Melanoma Detection Based on Mahalanobis Distance Learning and Constrained Graph Regularized Nonnegative Matrix Factorization.
WACV
Yanyang Gu, Jun Zhou, Bin Qian
2017 B conf
Non-local similarity based tensor decomposition for hyperspectral image denoising.
ICIP
Fan Xu, Xiao Bai, Jun Zhou
2017 J jnl
On the Sampling Strategy for Evaluation of Spectral-Spatial Methods in Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens.
Jie Liang, Jun Zhou, Yuntao Qian, Lian Wen, Xiao Bai, Yongsheng Gao
2017 J jnl
Region-Based Structure Preserving Nonnegative Matrix Factorization for Hyperspectral Unmixing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Lei Tong, Jun Zhou, Xue Li, Yuntao Qian, Yongsheng Gao
2017 J jnl
Sparse 3D directional vertices vs continuous 3D curves: Efficient 3D surface matching and its application for single model face recognition.
Pattern Recognit.
Xun Yu, Yongsheng Gao, Jun Zhou
2016 B conf
3D face recognition under partial occlusions using radial strings.
ICIP
Xun Yu, Yongsheng Gao, Jun Zhou
2016 J jnl
A Manifold Alignment Approach for Hyperspectral Image Visualization With Natural Color.
IEEE Trans. Geosci. Remote. Sens.
Danping Liao, Yuntao Qian, Jun Zhou, Yuan Yan Tang
2016 Misc conf
Affine Invariant Point-Set Matching Using Convex Hull Bisection.
DICTA
Yue Li, Bin Wang, Yongsheng Gao, Jun Zhou
2016 J jnl
Band Weighting via Maximizing Interclass Distance for Hyperspectral Image Classification.
IEEE Geosci. Remote. Sens. Lett.
Cheng Yan, Xiao Bai, Peng Ren, Lu Bai, Wenzhong Tang, Jun Zhou
2016 — conf
Bilinear Discriminant Analysis Hashing: A Supervised Hashing Approach for High-Dimensional Data.
ACCV (5)
Yanzhen Liu, Xiao Bai, Cheng Yan, Jun Zhou
2016 Misc conf
Boosting Radial Strings for 3D Face Recognition with Expressions and Occlusions.
DICTA
Xun Yu, Yongsheng Gao, Jun Zhou
2016 C conf
CRF learning with CNN features for hyperspectral image segmentation.
IGARSS
Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, Xiuping Jia
2016 J jnl
Describing and learning of related parts based on latent structural model in big data.
Neurocomputing
Lei Liu, Xiao Bai, Huigang Zhang, Jun Zhou, Wenzhong Tang
2016 J jnl
Discriminative sparse neighbor coding.
Multim. Tools Appl.
Xiao Bai, Cheng Yan, Peng Ren, Lu Bai, Jun Zhou
2016 C conf
Discriminative weighted band selection via one-class SVM for hyperspectral imagery.
IGARSS
Yu Tang, Enlong Fan, Cheng Yan, Xiao Bai, Jun Zhou
2016 Misc conf
Hashing with Non-Linear Manifold Learning.
DICTA
Yanzhen Liu, Xiao Bai, Cheng Yan, Jing Wang, Jun Zhou
2016 J jnl
Local and global regularized sparse coding for data representation.
Neurocomputing
Zhenqiu Shu, Jun Zhou, Pu Huang, Xun Yu, Zhangjing Yang, Chunxia Zhao
2016 J jnl
Maximum margin hashing with supervised information.
Multim. Tools Appl.
Haichuan Yang, Xiao Bai, Yanzhen Liu, Yanyang Wang, Lu Bai, Jun Zhou, Wenzhong Tang
2016 B conf
Nonnegative matrix factorization with endmember sparse graph learning for hyperspectral unmixing.
ICIP
Bin Qian, Jun Zhou, Lei Tong, Xiaobo Shen, Fan Liu
2016 J jnl
Nonnegative-Matrix-Factorization-Based Hyperspectral Unmixing With Partially Known Endmembers.
IEEE Trans. Geosci. Remote. Sens.
Lei Tong, Jun Zhou, Yuntao Qian, Xiao Bai, Yongsheng Gao
2016 J jnl
On the Sampling Strategy for Evaluation of Spectral-spatial Methods in Hyperspectral Image Classification.
CoRR
Jie Liang, Jun Zhou, Yuntao Qian, Lian Wen, Xiao Bai, Yongsheng Gao
2016 B conf
Structured Discriminative Nonnegative Matrix Factorization for hyperspectral unmixing.
ICIP
Xue Li, Jun Zhou, Lei Tong, Xun Yu, Jianhui Guo, Chunxia Zhao
2016 B conf
Tensor morphological profile for hyperspectral image classification.
ICIP
Jie Liang, Jun Zhou, Yongsheng Gao
2015 A conf
3D Reconstruction from Hyperspectral Images.
WACV
Ali Zia, Jie Liang, Jun Zhou, Yongsheng Gao
2015 B conf
3D local derivative pattern for hyperspectral face recognition.
FG
Jie Liang, Jun Zhou, Yongsheng Gao
2015 J jnl
An incremental structured part model for object recognition.
Neurocomputing
Xiao Bai, Peng Ren, Huigang Zhang, Jun Zhou
2015 C conf
Band weighting and selection based on hyperplane margin maximization for hyperspectral image classification.
IGARSS
Cheng Yan, Xiao Bai, Jun Zhou
2015 — conf
Learning Graph Model for Different Dimensions Image Matching.
GbRPR
Haoyi Zhou, Xiao Bai, Jun Zhou, Haichuan Yang, Yun Liu
2015 B conf
Multilayer manifold and sparsity constrainted nonnegative matrix factorization for hyperspectral unmixing.
ICIP
Zhenqiu Shu, Jun Zhou, Lei Tong, Xiao Bai, Chunxia Zhao
2015 — conf
Multiple graph regularized NMF for hyperspectral unmixing.
WHISPERS
Lei Tong, Jun Zhou, Yuntao Qian, Yongsheng Gao
2015 J jnl
Multitask Sparse Nonnegative Matrix Factorization for Joint Spectral-Spatial Hyperspectral Imagery Denoising.
IEEE Trans. Geosci. Remote. Sens.
Minchao Ye, Yuntao Qian, Jun Zhou
2015 J jnl
Object Classification via Feature Fusion Based Marginalized Kernels.
IEEE Geosci. Remote. Sens. Lett.
Xiao Bai, Chuntian Liu, Peng Ren, Jun Zhou, Huijie Zhao, Yun Su
2015 — conf
On the sampling strategies for evaluation of joint spectral-spatial information based classifiers.
WHISPERS
Jun Zhou, Jie Liang, Yuntao Qian, Yongsheng Gao, Lei Tong
2015 Misc conf
Relative Depth Estimation from Hyperspectral Data.
DICTA
Ali Zia, Jun Zhou, Yongsheng Gao
2015 J jnl
Semisupervised Hyperspectral Band Selection Via Spectral-Spatial Hypergraph Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Xiao Bai, Zhouxiao Guo, Yanyang Wang, Zhihong Zhang, Jun Zhou
2014 — conf
A Graph Matching Method for Historical Census Household Linkage.
PAKDD (1)
Zhichun Fu, Peter Christen, Jun Zhou
2014 A* conf
Adaptive Object Retrieval with Kernel Reconstructive Hashing.
CVPR
Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Zhihong Zhang, Jian Cheng
2014 J jnl
Automatic Record Linkage of Individuals and Households in Historical Census Data.
Int. J. Humanit. Arts Comput.
Zhichun Fu, H. M. Boot, Peter Christen, Jun Zhou
2014 J jnl
Data-Dependent Hashing Based on p-Stable Distribution.
IEEE Trans. Image Process.
Xiao Bai, Haichuan Yang, Jun Zhou, Peng Ren, Jian Cheng
2014 Misc conf
Dual Graph Regularized NMF for Hyperspectral Unmixing.
DICTA
Lei Tong, Jun Zhou, Xiao Bai, Yongsheng Gao
2014 B conf
Face Recognition Using 3D Directional Corner Points.
ICPR
Xun Yu, Yongsheng Gao, Jun Zhou
2014 B conf
Semi-randomized hashing for large scale data retrieval.
DSAA
Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Jian Cheng, Lu Bai
2014 J jnl
VHR Object Detection Based on Structural Feature Extraction and Query Expansion.
IEEE Trans. Geosci. Remote. Sens.
Xiao Bai, Huigang Zhang, Jun Zhou
2014 B conf
Visualization of Hyperspectral Imaging Data Based on Manifold Alignment.
ICPR
Danping Liao, Yuntao Qian, Jun Zhou
2013 — conf
3D Plant Modelling via Hyperspectral Imaging.
ICCV Workshops
Jie Liang, Ali Zia, Jun Zhou, Xavier Sirault
2013 Misc conf
A 3D Polygonal Line Chains Matching Method for Face Recognition.
DICTA
Xun Yu, Yongsheng Gao, Jun Zhou
2013 B conf
A hypergraph based semi-supervised band selection method for hyperspectral image classification.
ICIP
Zhouxiao Guo, Xiao Bai, Zhihong Zhang, Jun Zhou
2013 J jnl
Efficient Estimation of Reflectance Parameters From Imaging Spectroscopy.
IEEE Trans. Image Process.
Lin Gu, Antonio Robles-Kelly, Jun Zhou
2013 J jnl
Hierarchical Remote Sensing Image Analysis via Graph Laplacian Energy.
IEEE Geosci. Remote. Sens. Lett.
Huigang Zhang, Xiao Bai, Huaxin Zheng, Huijie Zhao, Jun Zhou, Jian Cheng, Hanqing Lu
2013 J jnl
Hyperspectral Image Classification Based on Structured Sparse Logistic Regression and Three-Dimensional Wavelet Texture Features.
IEEE Trans. Geosci. Remote. Sens.
Yuntao Qian, Minchao Ye, Jun Zhou
2013 B conf
Label propagation hashing based on p-stable distribution and coordinate descent.
ICIP
Haichuan Yang, Xiao Bai, Chuntian Liu, Jun Zhou
2013 Misc conf
Learning Discriminative Local Patterns with Unrestricted Structure for Face Recognition.
DICTA
Douglas Brown, Yongsheng Gao, Jun Zhou
2013 B conf
Manifold alignment based color transfer for multiview image stitching.
ICIP
Yuntao Qian, Danping Liao, Jun Zhou
2013 C conf
Marginalized kernel-based feature fusion method for VHR object classification.
IGARSS
Chuntian Liu, Wei Wei, Xiao Bai, Jun Zhou
2013 J jnl
Object Detection Via Structural Feature Selection and Shape Model.
IEEE Trans. Image Process.
Huigang Zhang, Xiao Bai, Jun Zhou, Jian Cheng, Huijie Zhao
2013 B conf
Pavement crack detection based on saliency and statistical features.
ICIP
Wei Xu, Zhenmin Tang, Jun Zhou, Jundi Ding
2013 B conf
Salient object detection in hyperspectral imagery.
ICIP
Jie Liang, Jun Zhou, Xiao Bai, Yuntao Qian
2013 C conf
Semi-supervised hyperspectral band selection via sparse linear regression and hypergraph models.
IGARSS
Zhouxiao Guo, Haichuan Yang, Xiao Bai, Zhihong Zhang, Jun Zhou
2013 Misc conf
Soil Biochar Quantification via Hyperspectral Unmixing.
DICTA
Lei Tong, Jun Zhou, Chengyuan Xu, Yuntao Qian, Yongsheng Gao
2013 — conf
Use of SIMD Vector Operations to Accelerate Application Code Performance on Low-Powered ARM and Intel Platforms.
IPDPS Workshops
Gaurav Mitra, Beau Johnston, Alistair P. Rendell, Eric McCreath, Jun Zhou
2012 C conf
A Bag Reconstruction Method for Multiple Instance Classification and Group Record Linkage.
ADMA
Zhichun Fu, Jun Zhou, Furong Peng, Peter Christen
2012 — conf
An Incremental Structured Part Model for Image Classification.
SSPR/SPR
Huigang Zhang, Xiao Bai, Jian Cheng, Jun Zhou, Huijie Zhao
2012 — conf
Multiple Instance Learning for Group Record Linkage.
PAKDD (1)
Zhichun Fu, Jun Zhou, Peter Christen, Mac Boot
2012 B conf
Object detection via foreground contour feature selection and part-based shape model.
ICPR
Huigang Zhang, Junxiu Wang, Xiao Bai, Jun Zhou, Jian Cheng, Huijie Zhao
2011 J jnl
Graph attribute embedding via Riemannian submersion learning.
Comput. Vis. Image Underst.
Haifeng Zhao, Antonio Robles-Kelly, Jun Zhou, Jianfeng Lu, Jing-Yu Yang
2011 J jnl
Hyperspectral Unmixing via $L_{1/2}$ Sparsity-Constrained Nonnegative Matrix Factorization.
IEEE Trans. Geosci. Remote. Sens.
Yuntao Qian, Sen Jia, Jun Zhou, Antonio Robles-Kelly
2011 J jnl
MILIS: Multiple Instance Learning with Instance Selection.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhouyu Fu, Antonio Robles-Kelly, Jun Zhou
2011 A* conf
Material-specific user colour profiles from imaging spectroscopy data.
ICCV
Lin Gu, Cong Phuoc Huynh, Antonio Robles-Kelly, Jun Zhou
2011 Misc conf
On the Use of the Chi-Squared Distance for the Structured Learning of Graph Embeddings.
DICTA
Haifeng Zhao, Antonio Robles-Kelly, Jun Zhou
2011 C conf
Structured sparse model based feature selection and classification for hyperspectral imagery.
IGARSS
Yuntao Qian, Jun Zhou, Minchao Ye, Qi Wang
2010 — conf
A Structured Learning Approach to Attributed Graph Embedding.
SSPR/SPR
Haifeng Zhao, Jun Zhou, Antonio Robles-Kelly
2010 B conf
Image Inpainting Based on Local Optimisation.
ICPR
Jun Zhou, Antonio Robles-Kelly
2010 Misc conf
L1/2 Sparsity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing.
DICTA
Yuntao Qian, Sen Jia, Jun Zhou, Antonio Robles-Kelly
2010 J jnl
Mixing Linear SVMs for Nonlinear Classification.
IEEE Trans. Neural Networks
Zhouyu Fu, Antonio Robles-Kelly, Jun Zhou
2010 C conf
Multi-spectral remote sensing image registration via spatial relationship analysis on sift keypoints.
IGARSS
Mahmudul Hasan, Xiuping Jia, Antonio Robles-Kelly, Jun Zhou, Mark R. Pickering
2010 — conf
Object of Interest Detection by Saliency Learning.
ECCV (2)
Pattaraporn Khuwuthyakorn, Antonio Robles-Kelly, Jun Zhou
2010 B conf
Regisration of hyperspectral and trichromatic images via cross cumulative residual entropy maximisation.
ICIP
Mahmudul Hasan, Mark R. Pickering, Antonio Robles-Kelly, Jun Zhou, Xiuping Jia
2009 — conf
A Graph-Based Feature Combination Approach to Object Tracking.
ACCV (2)
Quang Anh Nguyen, Antonio Robles-Kelly, Jun Zhou
2009 — conf
An affine Invariant hyperspectral texture descriptor based upon heavy-tailed distributions and fourier analysis.
CVPR Workshops
Pattaraporn Khuwuthyakorn, Antonio Robles-Kelly, Jun Zhou
2009 Misc conf
Automatic Detection of Defective Zebrafish Embryos via Shape Analysis.
DICTA
Haifeng Zhao, Jun Zhou, Antonio Robles-Kelly, Jianfeng Lu, Jing-Yu Yang
2009 Misc conf
Learning the Optimal Transformation of Salient Features for Image Classification.
DICTA
Jun Zhou, Zhouyu Fu, Antonio Robles-Kelly
2008 A* conf
A quasi-random sampling approach to image retrieval.
CVPR
Jun Zhou, Antonio Robles-Kelly
2008 Misc conf
Content-Based Image Retrieval via Subspace-Projected Salient Features.
DICTA
Jyun-Hao Huang, Ali Zia, Jun Zhou, Antonio Robles-Kelly
2008 A* conf
Prediction and Change Detection in Sequential Data for Interactive Applications.
AAAI
Jun Zhou, Li Cheng, Walter F. Bischof
2008 Misc conf
Texture Descriptors via Stable Distributions.
DICTA
Pattaraporn Khuwuthyakorn, Antonio Robles-Kelly, Jun Zhou
2007 — conf
Knowledge Transfer in Semi-automatic Image Interpretation.
HCI (3)
Jun Zhou, Li Cheng, Terry Caelli, Walter F. Bischof
2007 J jnl
Online Learning With Novelty Detection in Human-Guided Road Tracking.
IEEE Trans. Geosci. Remote. Sens.
Jun Zhou, Li Cheng, Walter F. Bischof
2006 — conf
Extracting Lines in Noisy Image Using Directional Information.
ICPR (2)
Jun Zhou, Walter F. Bischof, G. Arturo Sanchez-Azofeifa
2004 — conf
Understanding Human-Computer Interactions in Map Revision.
SSPR/SPR
Jun Zhou, Walter F. Bischof, Terry Caelli