![](https://dblp.dagstuhl.de/img/logo.ua.320x120.png)
![](https://dblp.dagstuhl.de/img/dropdown.dark.16x16.png)
![](https://dblp.dagstuhl.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
![search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
default search action
Jun 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
— 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
Refine list
![note](https://dblp.dagstuhl.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 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]Fan Liu
, Sai Yang
, Delong Chen
, Huaxi Huang
, Jun Zhou
:
Few-shot classification guided by generalization error bound. Pattern Recognit. 145: 109904 (2024) - [j125]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) - [j124]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) - [j123]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) - [j122]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) - [j121]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) - [j120]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) - [j119]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) - [j118]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) - [j117]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) - [j116]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) - [j115]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) - [j114]Jun Zhou
, Chi Xu
, Yuting Ge
, Li Cheng
:
Realistic Depth Image Synthesis for 3D Hand Pose Estimation. IEEE Trans. Multim. 26: 5246-5256 (2024) - [i31]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) - [i30]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) - [i29]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) - [i28]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) - [i27]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) - [i26]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) - [i25]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) - [i24]Nick Nikzad, Yongsheng Gao, Jun Zhou:
CSA-Net: Channel-wise Spatially Autocorrelated Attention Networks. CoRR abs/2405.05755 (2024) - 2023
- [j113]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) - [j112]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) - [j111]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) - [j110]Mingjie Wang
, Jun Zhou
, Hao Cai, Minglun Gong
:
CrowdMLP: Weakly-supervised crowd counting via multi-granularity MLP. Pattern Recognit. 144: 109830 (2023) - [j109]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) - [j108]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) - [j107]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) - [j106]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) - [j105]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) - [j104]Xinrong Lyu
, Jun Zhou
, Peng Ren
, Alejandro C. Frery
:
Classification With Unbalanced Samples by Self-Sampling and Semicorrelated Co-Training - An Application to Algal Bloom Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j103]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) - [j102]Jing Wang
, Jun Zhou
, Xinwen Liu
:
Toward Universal Representation Learning for Multidomain Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j101]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) - [j100]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) - [j99]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
- [j98]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) - [j97]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) - [j96]Xiao Bai, Jun Zhou, Xin Ning, Chen Wang:
3D data computation and visualization. Displays 73: 102169 (2022) - [j95]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) - [j94]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) - [j93]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) - [j92]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) - [j91]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) - [j90]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) - [j89]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) - [j88]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) - [j87]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) - [j86]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) - [j85]Mohammad Nikzad
, Yongsheng Gao
, Jun Zhou
:
An Attention-Based Lattice Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j84]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) - [j83]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) - [j82]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) - [j81]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) - [j80]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) - [j79]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) - [j78]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) - [j77]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) - [j76]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
- [j75]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) - [j74]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) - [j73]Chi Xu
, Yunkai Jiang
, Jun Zhou
, Yi Liu
:
Semi-Supervised Joint Learning for Hand Gesture Recognition from a Single Color Image. Sensors 21(3): 1007 (2021) - [j72]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) - [j71]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) - [j70]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) - [j69]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) - [j68]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) - [j67]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) - [j66]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) - [j65]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
- [j64]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) - [j63]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) - [j62]Lei Zhou
, Xiao Bai, Xianglong Liu
, Jun Zhou, Edwin R. Hancock
:
Learning binary code for fast nearest subspace search. Pattern Recognit. 98 (2020) - [j61]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) - [j60]Chi Xu
, Wendi Cai
, Yongbo Li
, Jun Zhou
, Longsheng Wei
:
Accurate Hand Detection from Single-Color Images by Reconstructing Hand Appearances. Sensors 20(1): 192 (2020) - [j59]Chi Xu
, Jun Zhou
, Wendi Cai
, Yunkai Jiang
, Yongbo Li
, Yi Liu
:
Robust 3D Hand Detection from a Single RGB-D Image in Unconstrained Environments. Sensors 20(21): 6360 (2020) - [j58]Chi Xu
, Jiale Chen
, Mengyang Yao
, Jun Zhou
, Lijun Zhang
, Yi Liu
:
6DoF Pose Estimation of Transparent Object from a Single RGB-D Image. Sensors 20(23): 6790 (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
aka: Edwin Robert Hancock
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-17 23:43 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint