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ORCIDLiang Xiao 0001
Person information
- affiliation (PhD 2004): Nanjing University of Science and Technology, School of Computer Science, Nanjing, China
Other persons with the same name
- Liang Xiao — disambiguation page
- Liang Xiao 0002 — University of Southampton, UK
- Liang Xiao 0003
![[0000-0003-2402-611X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-2402-611X")
— Xiamen University, China - Liang Xiao 0004 — Hubei University of Technology, China
- Liang Xiao 0005 — Zhejiang Gongshang University, China
- Liang Xiao 0006 — Wuhan University of Technology, School of Resources and Environmental Engineering, China
- Liang Xiao 0007 — National Innovation Institute of Defense Technology, Beijing, China (and 1 more)
- Liang Xiao 0008 — Huazhong University of Science and Technology, Wuhan, China
- Liang Xiao 0009 — Beijing University of Chemical Technology, Beijing, China
- Liang Xiao 0010 — Beijing Institute of Technology, Beijing, China
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2020 – today
- 2024
[j144]Irfan Ahmad, Ghulam Farooque, Qichao Liu, Fazal Hadi, Liang Xiao:
MSTSENet: Multiscale Spectral-Spatial Transformer with Squeeze and Excitation network for hyperspectral image classification. Eng. Appl. Artif. Intell. 134: 108669 (2024)- [j143]Zeinab Dehghan, Jingxiang Yang, Milad Taleby Ahvanooey, Abdolraheem Khader, Liang Xiao:
HS-McHF: Hypersharpening With Multicomponent-Based Hierarchical Features Fusion Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 11101-11116 (2024) - [j142]Jia Liu, Wenyi Hua, Wenhua Zhang, Fang Liu, Liang Xiao:
Stair Fusion Network With Context-Refined Attention for Remote Sensing Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j141]Jian Fang, Jingxiang Yang, Abdolraheem Khader, Liang Xiao:
MIMO-SST: Multi-Input Multi-Output Spatial-Spectral Transformer for Hyperspectral and Multispectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. 62: 1-20 (2024) - [j140]Jian Fang, Jingxiang Yang, Abdolraheem Khader, Liang Xiao:
Deep Unfolding Network Enhanced by Transformer Priors for Unregistered Hyperspectral and Multispectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j139]Fang Liu, Jiaqi An, Jia Liu, Jingxiang Yang, Xu Tang, Liang Xiao:
Conjoint Cross-Attention Modeling and Joint Feature Calibrating for Remote Sensing Image Change Detection via a Triple-Double Network. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j138]Fang Liu, Yangguang Liu, Jia Liu, Xu Tang, Liang Xiao:
Candidate-Aware and Change-Guided Learning for Remote Sensing Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-19 (2024) - [j137]Yangguang Liu, Fang Liu, Jia Liu, Liang Xiao:
Difference Guidance Learning With Feature Alignment for Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j136]Fang Liu, Keming Liu, Jia Liu, Jingxiang Yang, Xu Tang, Liang Xiao:
Content-Guided and Class-Oriented Learning for VHR Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j135]Jianjun Liu, Zebin Wu, Liang Xiao:
A Spectral Diffusion Prior for Unsupervised Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j134]Lingwu Meng, Jing Wang, Ran Meng, Yang Yang, Liang Xiao:
A Multiscale Grouping Transformer With CLIP Latents for Remote Sensing Image Captioning. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j133]Wenzhen Wang, Fang Liu, Liang Xiao:
I2MEP-Net: Inter- and Intra-Modality Enhancing Prototypical Network for Few-Shot Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j132]Haifeng Xu, Jingxiang Yang, Tian Lin, Jia Liu, Fang Liu, Liang Xiao:
Hyperspectral Reconstruction From RGB Images via Physically Guided Graph Deep Prior Learning. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j131]Wenjing Zhan, Fang Liu, Yongke Li, Liang Xiao:
Computational Oriented Proposal for Fine-Grained Ship Detection in Complex Remote Sensing Images. IEEE Trans. Instrum. Meas. 73: 1-18 (2024) - [j130]Qichao Liu, Liang Xiao, Nan Huang, Jinhui Tang:
Composite Neighbor-Aware Convolutional Metric Networks for Hyperspectral Image Classification. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9297-9311 (2024) - [j129]Jingxiang Yang, Liang Xiao, Yong-Qiang Zhao, Jonathan Cheung-Wai Chan:
Unsupervised Deep Tensor Network for Hyperspectral-Multispectral Image Fusion. IEEE Trans. Neural Networks Learn. Syst. 35(9): 13017-13031 (2024) - [c99]Wentao Qu, Yuantian Shao, Lingwu Meng, Xiaoshui Huang, Liang Xiao:
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling. CVPR 2024: 20786-20795 - [c98]Kanghua Yin, Fang Liu, Jia Liu, Liang Xiao:
Vision-Language Joint Learning for Box-Supervised Change Detection in Remote Sensing. IGARSS 2024: 10254-10258 - [c97]Xia Zhang, Jia Liu, Wenhua Zhang, Fang Liu, Jingxiang Yang, Liang Xiao:
Spectral-Spatial Attentions and Deep Supervision for Change Detection in Remote Sensing Images. IGARSS 2024: 10306-10310 - [c96]Tingting Yang, Liang Xiao, Yizhe Zhang:
TSBP: Improving Object Detection in Histology Images via Test-Time Self-guided Bounding-Box Propagation. MICCAI (4) 2024: 525-534 - 2023
- [j128]Ghulam Farooque, Qichao Liu, Allah Bux Sargano, Liang Xiao:
Swin transformer with multiscale 3D atrous convolution for hyperspectral image classification. Eng. Appl. Artif. Intell. 126: 107070 (2023) - [j127]Jia Sun, Jia Liu, Liang Xiao:
Intrinsic Decomposition Model-Guided Two-Stream Coupled Autoencoder for Unsupervised Hyperspectral Image Change Detection. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j126]Pengfei Liu, Lanlan Liu, Liang Xiao:
A Novel Tensor-Based Hyperspectral Image Restoration Method With Low-Rank Modeling in Gradient Domains. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 581-597 (2023) - [j125]Jian Fang, Jingxiang Yang, Abdolraheem Khader, Liang Xiao:
A Multiresolution Details Enhanced Attentive Dual-UNet for Hyperspectral and Multispectral Image Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 638-655 (2023) - [j124]Yuantian Shao, Qichao Liu, Liang Xiao:
IVIU-Net: Implicit Variable Iterative Unrolling Network for Hyperspectral Sparse Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 1756-1770 (2023) - [j123]Abdolraheem Khader, Jingxiang Yang, Liang Xiao:
Model-Guided Deep Unfolded Fusion Network With Nonlocal Spatial-Spectral Priors for Hyperspectral Image Super-Resolution. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 4607-4625 (2023) - [j122]Yangguang Liu, Fang Liu, Jia Liu, Xu Tang, Liang Xiao:
Adaptive Spatial and Difference Learning for Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 7447-7461 (2023) - [j121]Wenxiu Diao, Mengying Jin, Kai Zhang, Liang Xiao:
Unsupervised Single-Generator CycleGAN-Based Pansharpening With Spatial-Spectral Degradation Modeling. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 10246-10263 (2023) - [j120]Wenfei Gao, Fang Liu, Jia Liu, Liang Xiao, Xu Tang:
Spatial-Spectral Adaptive Learning With Pixelwise Filtering for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j119]Ling Hu, Qichao Liu, Jia Liu, Liang Xiao:
PRBCD-Net: Predict-Refining-Involved Bidirectional Contrastive Difference Network for Unsupervised Change Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j118]Nan Huang, Liang Xiao, Qichao Liu, Jocelyn Chanussot:
S2DMSC: A Self-Supervised Deep Multilevel Subspace Clustering Approach for Large Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j117]Kaixuan Jiang, Jia Liu, Wenhua Zhang, Fang Liu, Liang Xiao:
MANet: An Efficient Multidimensional Attention-Aggregated Network for Remote Sensing Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [j116]Fang Liu, Wenfei Gao, Jia Liu, Xu Tang, Liang Xiao:
Adversarial Domain Alignment With Contrastive Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-20 (2023) - [j115]Pengfei Liu, Jiahui Liu, Liang Xiao, Zhizhong Zheng:
Multiresolution Analysis-Inspired Spatial and Spectral Details Preserved Model for Variational Pansharpening. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j114]Qichao Liu, Liang Xiao, Nan Huang, Jinhui Tang:
Learning Transferable Discriminative Knowledge From Attribute-Aligned Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j113]Lingwu Meng, Jing Wang, Yang Yang, Liang Xiao:
Prior Knowledge-Guided Transformer for Remote Sensing Image Captioning. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j112]Wenzhen Wang, Fang Liu, Jia Liu, Liang Xiao:
Cross-Domain Few-Shot Hyperspectral Image Classification With Class-Wise Attention. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [j111]Wenzhen Wang, Fang Liu, Wenzhi Liao, Liang Xiao:
Cross-Modal Graph Knowledge Representation and Distillation Learning for Land Cover Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [j110]Jingxiang Yang, Tian Lin, Xiaoyang Chen, Liang Xiao:
Multiple Deep Proximal Learning for Hyperspectral-Multispectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j109]Jingxiang Yang, Tian Lin, Fang Liu, Liang Xiao:
Learning Degradation-Aware Deep Prior for Hyperspectral Image Reconstruction. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j108]Jie Song, Zhichao Lian, Liang Xiao:
Deep Open-Curve Snake for Discriminative 3D Neuron Tracking. IEEE J. Biomed. Health Informatics 27(12): 5815-5826 (2023) - [j107]Huicong Wu, Liang Xiao, Le Sun, Byeungwoo Jeon:
A Novel Video Stabilization Model With Motion Morphological Component Priors. IEEE Trans. Multim. 25: 389-404 (2023) - [j106]Hao Chen, Xiu-Shen Wei, Liang Xiao:
Prototype Learning for Automatic Check-Out. IEEE Trans. Multim. 25: 9147-9160 (2023) - [c95]Jie Song, Ziyun Cai, Yurong Song, Guoping Jiang, Zhichao Lian, Liang Xiao:
Learnable Snake R-CNN for Instance-Level Biomedical Image Segmentation. ICIP 2023: 2920-2924 - [c94]Hengyi Huang, Wenzhen Wang, Wenzhi Liao, Liang Xiao:
A Multi-Scale Deep Feature Learning and Semantic Enhancement Approach for Remote Sensing Scene Classification. IGARSS 2023: 5419-5422 - [c93]Jiaqi An, Fang Liu, Jia Liu, Liang Xiao, Xu Tang:
Spatial-Preserving and Edge-Orienting High-Resolution Network for Remote Sensing Change Detection. IGARSS 2023: 5515-5518 - [c92]Hejun Luo, Jia Liu, Fang Liu, Wenhua Zhang, Jingxiang Yang, Liang Xiao:
Edge-Guided Feature Dense Fusion Network for Remote Sensing Image Change Detection. IGARSS 2023: 6684-6687 - [c91]Chengwei Huang, Ling Hu, Wenzhi Liao, Liang Xiao:
Siamese Recurrent Residual Refinement Network for High-Resolution Image Change Detection. IGARSS 2023: 6696-6699 - [c90]Keming Liu, Fang Liu, Jia Liu, Liang Xiao, Xu Tang:
Unsupervised Domain Adaption for Remote Sensing Semantic Segmentation with Self-Attention Mechanism. IGARSS 2023: 6916-6919 - [c89]Wenfei Gao, Fang Liu, Jia Liu, Liang Xiao, Xu Tang:
Domain-Specific and Domain-Common Feature Enhancement for Cross-Domain Few-Shot Hyperspectral Image Classification. IGARSS 2023: 7661-7664 - [c88]Yang Hao, Zhifei Chen, Liang Xiao:
Detecting Adversarial Examples for Hyperspectral Image Classification Via Mutation Testing. WHISPERS 2023: 1-5 - [c87]Ling Hu, Ran Meng, Qichao Liu, Jia Liu, Liang Xiao:
Novel Contrastive Regularized Bipartite Network for Unsupervised Change Detection. WHISPERS 2023: 1-5 - [c86]Kai Shi, Qichao Liu, Zhizhong Zheng, Liang Xiao:
Efficient Implementation for Composite CNN-Based HSI Classification Algorithm with Huawei Ascend Framework. WHISPERS 2023: 1-5 - [i8]Jianjun Liu, Zebin Wu, Liang Xiao:
A Spectral Diffusion Prior for Hyperspectral Image Super-Resolution. CoRR abs/2311.08955 (2023) - [i7]Sitong Liu, Zhichao Lian, Shuangquan Zhang, Liang Xiao:
Adversarial Purification of Information Masking. CoRR abs/2311.15339 (2023) - [i6]Wentao Qu, Yuantian Shao, Lingwu Meng, Xiaoshui Huang, Liang Xiao:
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling. CoRR abs/2312.02719 (2023) - 2022
- [j105]Xiu-Shen Wei, Shu-Lin Xu, Hao Chen, Liang Xiao, Yuxin Peng:
Prototype-based classifier learning for long-tailed visual recognition. Sci. China Inf. Sci. 65(6): 1-15 (2022) - [j104]Xiaoyang Chen, Jingxiang Yang, Liang Xiao:
Learning Deep Subspace Projection Prior for Dual-Camera Compressive Hyperspectral Imaging. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j103]Zhikang Xiang, Liang Xiao, Wenzhi Liao, Wilfried Philips:
MC-JAFN: Multilevel Contexts-Based Joint Attentive Fusion Network for Pansharpening. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j102]Andi Zhang, Fang Liu, Jia Liu, Xu Tang, Wenfei Gao, Donghui Li, Liang Xiao:
Domain-Adaptive Few-Shot Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j101]Jia Sun, Jia Liu, Ling Hu, Zhihui Wei, Liang Xiao:
A Mutual Teaching Framework with Momentum Correction for Unsupervised Hyperspectral Image Change Detection. Remote. Sens. 14(4): 1000 (2022) - [j100]Fazal Hadi, Jingxiang Yang, Matee Ullah, Irfan Ahmad, Ghulam Farooque, Liang Xiao:
DHCAE: Deep Hybrid Convolutional Autoencoder Approach for Robust Supervised Hyperspectral Unmixing. Remote. Sens. 14(18): 4433 (2022) - [j99]Jianjun Liu, Dunbin Shen, Zebin Wu, Liang Xiao, Jun Sun, Hong Yan:
Patch-Aware Deep Hyperspectral and Multispectral Image Fusion by Unfolding Subspace-Based Optimization Model. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1024-1038 (2022) - [j98]Abdolraheem Khader, Jingxiang Yang, Liang Xiao:
NMF-DuNet: Nonnegative Matrix Factorization Inspired Deep Unrolling Networks for Hyperspectral and Multispectral Image Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 5704-5720 (2022) - [j97]Jia Liu, Maoguo Gong, Liang Xiao, Wenhua Zhang, Fang Liu:
Evolving Connections in Group of Neurons for Robust Learning. IEEE Trans. Cybern. 52(5): 3069-3082 (2022) - [j96]Ling Hu, Jia Liu, Liang Xiao:
A Total Variation Regularized Bipartite Network for Unsupervised Change Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j95]Nan Huang, Liang Xiao, Jianjun Liu, Jocelyn Chanussot:
Graph Convolutional Sparse Subspace Coclustering With Nonnegative Orthogonal Factorization for Large Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j94]Nan Huang, Liang Xiao, Yang Xu, Jocelyn Chanussot:
A Bipartite Graph Partition-Based Coclustering Approach With Graph Nonnegative Matrix Factorization for Large Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j93]Kaixuan Jiang, Wenhua Zhang, Jia Liu, Fang Liu, Liang Xiao:
Joint Variation Learning of Fusion and Difference Features for Change Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j92]Pengfei Liu, Jiahui Liu, Liang Xiao:
A Unified Pansharpening Method With Structure Tensor Driven Spatial Consistency and Deep Plug-and-Play Priors. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j91]Fang Liu, Jingya Wang, Xu Tang, Jia Liu, Xiangrong Zhang, Liang Xiao:
Adaptive Graph Convolutional Network for PolSAR Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j90]Jianjun Liu, Zebin Wu, Liang Xiao, Xiaojun Wu:
Model Inspired Autoencoder for Unsupervised Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j89]Pengfei Liu, Liang Xiao:
A Nonconvex Pansharpening Model With Spatial and Spectral Gradient Difference-Induced Nonconvex Sparsity Priors. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j88]Qichao Liu, Liang Xiao, Jingxiang Yang, Zhihui Wei:
Multilevel Superpixel Structured Graph U-Nets for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j87]Jia Liu, Wenhua Zhang, Fang Liu, Liang Xiao:
A Probabilistic Model Based on Bipartite Convolutional Neural Network for Unsupervised Change Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j86]Dunbin Shen, Jianjun Liu, Zebin Wu, Jinlong Yang, Liang Xiao:
ADMM-HFNet: A Matrix Decomposition-Based Deep Approach for Hyperspectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j85]Yu Shen, Sijie Zhu, Taojiannan Yang, Chen Chen, Delu Pan, Jianyu Chen, Liang Xiao, Qian Du:
BDANet: Multiscale Convolutional Neural Network With Cross-Directional Attention for Building Damage Assessment From Satellite Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j84]Zhikang Xiang, Liang Xiao, Jingxiang Yang, Wenzhi Liao, Wilfried Philips:
Detail-Injection-Model-Inspired Deep Fusion Network for Pansharpening. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j83]Jingxiang Yang, Liang Xiao, Yongqiang Zhao, Jonathan Cheung-Wai Chan:
Variational Regularization Network With Attentive Deep Prior for Hyperspectral-Multispectral Image Fusion. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j82]Hao Chen, Yangzhun Zhou, Jun Li, Xiu-Shen Wei, Liang Xiao:
Self-Supervised Multi-Category Counting Networks for Automatic Check-Out. IEEE Trans. Image Process. 31: 3004-3016 (2022) - [c85]Mengying Jin, Zhihui Wei, Liang Xiao:
Learning Texture Enhancement Prior with Deep Unfolding Network for Snapshot Compressive Imaging. ACCV (3) 2022: 357-373 - [c84]Hao Chen, Xiu-Shen Wei, Faen Zhang, Yang Shen, Hui Xu, Liang Xiao:
Automatic Check-Out via Prototype-Based Classifier Learning from Single-Product Exemplars. ECCV (25) 2022: 277-293 - [c83]Chaoyang Guo, Liang Xiao:
High Speed and Robust RGB-Thermal Tracking via Dual Attentive Stream Siamese Network. IGARSS 2022: 803-806 - [c82]Yangguang Liu, Fang Liu, Jia Liu, Xu Tang, Kaixuan Jiang, Liang Xiao:
Spatial-Adaptive and Feature-Enhanced Siamese Network for Change Detection. IGARSS 2022: 1424-1427 - [c81]Yunrui Sheng, Liang Xiao:
Manifold Augmentation Based Self-Supervised Contrastive Learning for Few-Shot Remote Sensing Scene Classification. IGARSS 2022: 2239-2242 - [c80]Kexin Zheng, Abdolraheem Khader, Liang Xiao:
An Unsupervised Hyperspectral Image Fusion Method Based on Spectral Unmixing and Deep Learning. IGARSS 2022: 2398-2401 - [c79]Mudi Duan, Ran Meng, Liang Xiao:
An Orientation-Aware Anchor-Free Detector for Aerial Object Detection. IGARSS 2022: 3075-3078 - [c78]Yu Wang, Jia Liu, Fang Liu, Wenhua Zhang, Liang Xiao, Jiao Shi:
Siamese High-Resolution Network for Change Detection. IGARSS 2022: 3239-3242 - [c77]Zhenqing Chen, Jia Liu, Fang Liu, Wenhua Zhang, Liang Xiao, Jiao Shi:
Learning Transformations between Heterogeneous SAR and Optical Images for Change Detection. IGARSS 2022: 3243-3246 - [c76]Jingxiang Yang, Liang Xiao:
Learning a Coupled Multilinear Network for Unsupervised Hyperspectral-Multispectral Image Fusion. IGARSS 2022: 4815-4818 - [i5]Sitong Liu, Zhichao Lian, Siqi Gu, Liang Xiao:
Block shuffling learning for Deepfake Detection. CoRR abs/2202.02819 (2022) - 2021
- [j81]Jia Liu, Wenhua Zhang, Fang Liu, Liang Xiao:
Deep associative learning for neural networks. Neurocomputing 443: 222-234 (2021) - [j80]Jinhuan Xu, James E. Fowler, Liang Xiao:
Hypergraph-Regularized Low-Rank Subspace Clustering Using Superpixels for Unsupervised Spatial-Spectral Hyperspectral Classification. IEEE Geosci. Remote. Sens. Lett. 18(5): 871-875 (2021) - [j79]Jingxiang Yang, Liang Xiao, Yong-Qiang Zhao, Jonathan Cheung-Wai Chan:
Hybrid Local and Nonlocal 3-D Attentive CNN for Hyperspectral Image Super-Resolution. IEEE Geosci. Remote. Sens. Lett. 18(7): 1274-1278 (2021) - [j78]Jinhuan Xu, Liang Xiao, Jingxiang Yang:
Unified Low-Rank Subspace Clustering with Dynamic Hypergraph for Hyperspectral Image. Remote. Sens. 13(7): 1372 (2021) - [j77]Ghulam Farooque, Liang Xiao, Jingxiang Yang, Allah Bux Sargano:
Hyperspectral Image Classification via a Novel Spectral-Spatial 3D ConvLSTM-CNN. Remote. Sens. 13(21): 4348 (2021) - [j76]Yu Shen, Sijie Zhu, Chen Chen, Qian Du, Liang Xiao, Jianyu Chen, Delu Pan:
Efficient Deep Learning of Nonlocal Features for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(7): 6029-6043 (2021) - [j75]Qichao Liu, Liang Xiao, Jingxiang Yang, Zhihui Wei:
CNN-Enhanced Graph Convolutional Network With Pixel- and Superpixel-Level Feature Fusion for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(10): 8657-8671 (2021) - [j74]Huicong Wu, Liang Xiao, Zhihui Wei:
Simultaneous Video Stabilization and Rolling Shutter Removal. IEEE Trans. Image Process. 30: 4637-4652 (2021) - [j73]Jie Song, Liang Xiao, Mohsen Molaei, Zhichao Lian:
Sparse Coding Driven Deep Decision Tree Ensembles for Nucleus Segmentation in Digital Pathology Images. IEEE Trans. Image Process. 30: 8088-8101 (2021) - [c75]Yuda Lu, Jingxiang Yang, Liang Xiao:
Multi-Supervised Recursive-CNN for Hyperspectral and Multispectral Image Fusion. IGARSS 2021: 2440-2443 - [c74]Zhenghui Liang, Yang Xu, Liang Xiao, Zhihui Wei:
Spatial-Spectral Total Variation Constrained Collaborative Tensor Regularization for Dual-Camera Compressive Hyperspectral Imaging. IGARSS 2021: 3873-3876 - [c73]Lu Yang, Jinhuan Xu, Liang Xiao:
Hyperspectral Image Denoising with Collaborative Total Variation and Low Rank Regularization. IGARSS 2021: 4139-4142 - [c72]Haopeng Xie, Liang Xiao, Huicong Wu:
Intra- and Inter-frame Iterative Temporal Convolutional Networks for Video Stabilization. MMAsia 2021: 28:1-28:7 - [i4]Yu Shen, Sijie Zhu, Taojiannan Yang, Chen Chen, Delu Pan, Jianyu Chen, Liang Xiao, Qian Du:
BDANet: Multiscale Convolutional Neural Network with Cross-directional Attention for Building Damage Assessment from Satellite Images. CoRR abs/2105.07364 (2021) - [i3]Jianjun Liu, Zebin Wu, Liang Xiao, Xiao-Jun Wu:
Model Inspired Autoencoder for Unsupervised Hyperspectral Image Super-Resolution. CoRR abs/2110.11591 (2021) - 2020
- [j72]De-Qing Kong, Yonghui Fan, Jinguang Hao, Xiaofeng Zhang, Qingtang Su, Tao Yao, Caiming Zhang, Liang Xiao, Gang Wang:
Cortical thickness computation by solving tetrahedron-based harmonic field. Comput. Biol. Medicine 120: 103727 (2020) - [j71]Dunbin Shen, Jianjun Liu, Zhiyong Xiao, Jinlong Yang, Liang Xiao:
A Twice Optimizing Net With Matrix Decomposition for Hyperspectral and Multispectral Image Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4095-4110 (2020) - [j70]Jianjun Liu, Zebin Wu, Liang Xiao, Jun Sun, Hong Yan:
Generalized Tensor Regression for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(2): 1244-1258 (2020) - [j69]Qichao Liu, Liang Xiao, Jingxiang Yang, Jonathan Cheung-Wai Chan:
Content-Guided Convolutional Neural Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(9): 6124-6137 (2020) - [j68]Jianjun Liu, Zebin Wu, Liang Xiao, Jun Sun, Hong Yan:
A Truncated Matrix Decomposition for Hyperspectral Image Super-Resolution. IEEE Trans. Image Process. 29: 8028-8042 (2020) - [j67]Jianjun Liu, Zebin Wu, Liang Xiao, Hong Yan:
Learning Multiple Parameters for Kernel Collaborative Representation Classification. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5068-5078 (2020) - [c71]Fan Yang, Liang Xiao, Jingxiang Yang:
Video Deblurring Via 3d CNN and Fourier Accumulation Learning. ICASSP 2020: 2443-2447 - [c70]Haocheng Zhang, Jia Liu, Liang Xiao:
Bipartite Residual Network for Change Detection in Heterogeneous Optical and Radar Images. IGARSS 2020: 332-335 - [c69]Ning Wen, Qichao Liu, Liang Xiao:
PERONA-MALIK DIFFUSION DRIVEN CNN FOR SUPERVISED CLASSIFICATION OF HYPERSPECTRAL IMAGES. IGARSS 2020: 850-853 - [c68]Jian Yu, Qichao Liu, Liang Xiao, Zhihui Wei:
A Directional Message Propagation Convolutional Neural Network for Hyperspectral Images Classification. IGARSS 2020: 854-857 - [c67]Siyu Liu, Nan Huang, Liang Xiao:
Locally Constrained Collaborative Representation Based Fisher's LDA for Clustering of Hyperspectral Images. IGARSS 2020: 1046-1049 - [i2]Yu Shen, Sijie Zhu, Chen Chen, Qian Du, Liang Xiao, Jianyu Chen, Delu Pan:
Efficient Deep Learning of Non-local Features for Hyperspectral Image Classification. CoRR abs/2008.00542 (2020) - [i1]Jie Song, Liang Xiao, Mohsen Molaei, Zhichao Lian:
Sparse Coding Driven Deep Decision Tree Ensembles for Nuclear Segmentation in Digital Pathology Images. CoRR abs/2008.05657 (2020)
2010 – 2019
- 2019
- [j66]Yu Shen, Liang Xiao, Jianyu Chen, Delu Pan:
A Spectral-Spatial Domain-Specific Convolutional Deep Extreme Learning Machine for Supervised Hyperspectral Image Classification. IEEE Access 7: 132240-132252 (2019) - [j65]Nan Huang, Liang Xiao:
Hyperspectral image clustering via sparse dictionary-based anchored regression. IET Image Process. 13(2): 261-269 (2019) - [j64]Jie Song, Liang Xiao, Mohsen Molaei, Zhichao Lian:
Multi-layer boosting sparse convolutional model for generalized nuclear segmentation from histopathology images. Knowl. Based Syst. 176: 40-53 (2019) - [j63]Jingxiang Yang, Yong-Qiang Zhao, Jonathan Cheung-Wai Chan, Liang Xiao:
A Multi-Scale Wavelet 3D-CNN for Hyperspectral Image Super-Resolution. Remote. Sens. 11(13): 1557 (2019) - [j62]Pengfei Liu, Liang Xiao:
Multicomponent Driven Consistency Priors for Simultaneous Decomposition and Pansharpening. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(11): 4589-4605 (2019) - [j61]Nan Huang, Liang Xiao, Yang Xu:
Bipartite Graph Partition Based Coclustering With Joint Sparsity for Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(12): 4698-4711 (2019) - [j60]Yu Shen, Jianyu Chen, Liang Xiao, Delu Pan:
A Bilevel Contextual MRF Model for Supervised Classification of High Spatial Resolution Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(12): 5360-5372 (2019) - [j59]Huicong Wu, Liang Xiao, Zhichao Lian, Hiuk Jae Shim:
Locally Low-Rank Regularized Video Stabilization With Motion Diversity Constraints. IEEE Trans. Circuits Syst. Video Technol. 29(10): 2873-2887 (2019) - [c66]Chen Jia, Liang Xiao, Yue Zhang:
Cross-Domain NER using Cross-Domain Language Modeling. ACL (1) 2019: 2464-2474 - [c65]Feng Lu, Qichao Liu, Mohsen Molaei, Liang Xiao:
A Hybrid Convolutional Neural Network with Anisotropic Diffusion for Hyperspectral Image Classification. ICIG (3) 2019: 541-552 - [c64]Tianqi Yang, Yalei Gao, Zhizhong Zheng, Liang Xiao:
Hyperspectral Unmixing Via Simultaneous Dictionary Refining and Enhanced Sparse Regression. IGARSS 2019: 369-372 - [c63]Nan Huang, Liang Xiao, Songze Tang, Qichao Liu:
Clustering Hyperspectral Images Via Sparse Dictionary Learning with Joint Sparsity and Shared Wavelets. IGARSS 2019: 803-806 - [c62]Mengfei Song, Jie Song, Liang Xiao:
Supervised Hyperspectral Image Classification Via Sparse Separable Convolutional Feature Learning. IGARSS 2019: 2710-2713 - [c61]Qichao Liu, Liang Xiao, Pengfei Liu, Nan Huang:
Data Augmentation and Refining with Steering Stencils for Supervised Classification of Hyperspectral Image. IGARSS 2019: 2746-2749 - [c60]Zhikang Xiang, Liang Xiao, Pengfei Liu, Yufei Zhang:
A Multi-Scale Densely Deep Learning Method for Pansharpening. IGARSS 2019: 2786-2789 - [e2]Zhen Cui, Jinshan Pan, Shanshan Zhang, Liang Xiao, Jian Yang:
Intelligence Science and Big Data Engineering. Visual Data Engineering - 9th International Conference, IScIDE 2019, Nanjing, China, October 17-20, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11935, Springer 2019, ISBN 978-3-030-36188-4 [contents] - [e1]Zhen Cui, Jinshan Pan, Shanshan Zhang, Liang Xiao, Jian Yang:
Intelligence Science and Big Data Engineering. Big Data and Machine Learning - 9th International Conference, IScIDE 2019, Nanjing, China, October 17-20, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11936, Springer 2019, ISBN 978-3-030-36203-4 [contents] - 2018
- [j58]Min Li, Zhikang Xiang, Zhichao Lian, Liang Xiao, Jun Zhang, Zhihui Wei:
Prediction of Lung Motion From Four-Dimensional Computer Tomography (4DCT) Images Using Bayesian Registration and Trajectory Modelling. IEEE Access 6: 2803-2811 (2018) - [j57]Le Sun, Byeungwoo Jeon, Bushra Naz Soomro, Yuhui Zheng, Zebin Wu, Liang Xiao:
Fast Superpixel Based Subspace Low Rank Learning Method for Hyperspectral Denoising. IEEE Access 6: 12031-12043 (2018) - [j56]Jinhuan Xu, Heng Li, Pengfei Liu, Liang Xiao:
A Novel Hyperspectral Image Clustering Method With Context-Aware Unsupervised Discriminative Extreme Learning Machine. IEEE Access 6: 16176-16188 (2018) - [j55]Pengfei Liu, Liang Xiao:
A Novel Generalized Intensity-Hue-Saturation (GIHS) Based Pan-Sharpening Method With Variational Hessian Transferring. IEEE Access 6: 46751-46761 (2018) - [j54]Pengfei Liu, Liang Xiao, Tao Li:
Normal curvature-induced variational model for image restoration. IET Image Process. 12(5): 679-689 (2018) - [j53]Le Sun, Tianming Zhan, Zebin Wu, Liang Xiao, Byeungwoo Jeon:
Hyperspectral Mixed Denoising via Spectral Difference-Induced Total Variation and Low-Rank Approximation. Remote. Sens. 10(12): 1956 (2018) - [j52]Pengfei Wang, Zhihui Wei, Liang Xiao:
Spatial rich model steganalysis feature normalization on random feature-subsets. Soft Comput. 22(6): 1981-1992 (2018) - [j51]Pengfei Liu, Liang Xiao, Tao Li:
A Variational Pan-Sharpening Method Based on Spatial Fractional-Order Geometry and Spectral-Spatial Low-Rank Priors. IEEE Trans. Geosci. Remote. Sens. 56(3): 1788-1802 (2018) - [j50]Jie Song, Liang Xiao, Zhichao Lian:
Contour-Seed Pairs Learning-Based Framework for Simultaneously Detecting and Segmenting Various Overlapping Cells/Nuclei in Microscopy Images. IEEE Trans. Image Process. 27(12): 5759-5774 (2018) - [c59]Jinhuan Xu, Pengfei Liu, Le Sun, Liang Xiao:
Discriminative Pixel-Pairwise Constraint-Guided Extreme Learning Machine for Semi-Supervised Hyperspectral Image Classification. ICIP 2018: 1518-1522 - [c58]Le Sun, Byeungwoo Jeon, Zebin Wu, Liang Xiao:
Hyperspectral Denoising Via Cross Total Variation-Regularized Unidirectional Nonlocal Low-Rank Tensor Approximation. ICIP 2018: 2900-2904 - [c57]Shengfu Li, Liang Xiao, Zhihui Wei, Ling Qian:
Simultaneous Dictionary Sparse Pruning and Collaborative Sparse Regression for Hyperspectral Image Unmixing. IGARSS 2018: 2681-2684 - [c56]Pengfei Liu, Liang Xiao, Songze Tang:
Pan-Sharpening with Hessian Nuclear Norm Induced Spatial Consistency. IGARSS 2018: 5116-5119 - [c55]Yufei Zhang, Heng Li, Liang Xiao:
Multivariate Regression-Based Pan-Sharpening With Low Rank Regularization. IGARSS 2018: 7188-7191 - [c54]Jie Song, Jayaram K. Udupa, Yubing Tong, Liang Xiao, Caiyun Wu, Joseph M. McDonough, Anthony Capraro, Drew A. Torigian, Robert M. Campbell Jr.:
Architectural analysis on dynamic MRI to study thoracic insufficiency syndrome. Medical Imaging: Image-Guided Procedures 2018: 105762C - 2017
- [j49]Tianming Zhan, Renping Yu, Yu Zheng, Yongzhao Zhan, Liang Xiao, Zhihui Wei:
Multimodal spatial-based segmentation framework for white matter lesions in multi-sequence magnetic resonance images. Biomed. Signal Process. Control. 31: 52-62 (2017) - [j48]Min Li, Sarah Joy Castillo, Richard Castillo, Edward Castillo, Thomas Guerrero, Liang Xiao, Xiaolin Zheng:
Automated identification and reduction of artifacts in cine four-dimensional computed tomography (4DCT) images using respiratory motion model. Int. J. Comput. Assist. Radiol. Surg. 12(9): 1521-1532 (2017) - [j47]Huicong Wu, Liang Xiao, Hiuk Jae Shim, Songze Tang:
Video stabilisation with total warping variation model. IET Image Process. 11(7): 465-474 (2017) - [j46]Pengfei Wang, Zhihui Wei, Liang Xiao:
Fast projections of spatial rich model feature for digital image steganalysis. Soft Comput. 21(12): 3335-3343 (2017) - [j45]Bushra Naz Soomro, Liang Xiao, Mohsen Molaei, Lili Huang, Zhichao Lian, Shahzad Hyder Soomro:
Local and Nonlocal Context-Aware Elastic Net Representation-Based Classification for Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(6): 2922-2939 (2017) - [j44]Qi Ge, Xiao-Yuan Jing, Fei Wu, Zhi-Hui Wei, Liang Xiao, Wen-Ze Shao, Dong Yue, Haibo Li:
Structure-Based Low-Rank Model With Graph Nuclear Norm Regularization for Noise Removal. IEEE Trans. Image Process. 26(7): 3098-3112 (2017) - [j43]Jie Song, Liang Xiao, Zhichao Lian:
Boundary-to-Marker Evidence-Controlled Segmentation and MDL-Based Contour Inference for Overlapping Nuclei. IEEE J. Biomed. Health Informatics 21(2): 451-464 (2017) - [c53]Songze Tang, Nan Zhou, Liang Xiao:
Pansharpening via Locality-Constrained Sparse Representation. BMVC 2017 - [c52]Lili Huang, Xuan Wu, Wenze Shao, Hongyi Liu, Zhihui Wei, Liang Xiao:
Color demosaicking via nonlocal tensor representation. ICASSP 2017: 1812-1816 - [c51]Yu Shen, Jianyu Chen, Liang Xiao:
Supervised classification of hyperspectral images using local-receptive-fields-based kernel extreme learning machine. ICIP 2017: 3120-3124 - [c50]Min Li, Zhikang Xiang, Limei Zhang, Zhichao Lian, Liang Xiao:
Robust segmentation of brain MRI images using a novel fuzzy c-means clustering method. ICNC-FSKD 2017: 1158-1162 - [c49]Zhixin Li, Yu Shen, Nan Huang, Liang Xiao:
Supervised classification of hyperspectral images via heterogeneous deep neural networks. IGARSS 2017: 1812-1815 - [c48]Jinhuan Xu, Nan Huang, Liang Xiao:
Spectral-spatial subspace clustering for hyperspectral images VIA modulated low-rank representation. IGARSS 2017: 3202-3205 - [c47]Nie Li, Nan Huang, Liang Xiao:
PAN-Sharpening via residual deep learning. IGARSS 2017: 5133-5136 - [c46]Huicong Wu, Hiuk Jae Shim, Liang Xiao:
A Low Rank Regularization Method for Motion Adaptive Video Stabilization. IScIDE 2017: 539-548 - 2016
- [j42]Pengfei Liu, Liang Xiao, Jun Zhang:
A fast higher degree total variation minimization method for image restoration. Int. J. Comput. Math. 93(8): 1383-1404 (2016) - [j41]Jin Sun, Liang Xiao, Jiangshan Tian, He Zhou, Janet Roveda:
Surrogating circuit design solutions with robustness metrics. Integr. 52: 1-9 (2016) - [j40]Kai Wang, Liang Xiao, Zhihui Wei:
Motion blur kernel estimation in steerable gradient domain of decomposed image. Multidimens. Syst. Signal Process. 27(2): 577-596 (2016) - [j39]Pengfei Wang, Zhihui Wei, Liang Xiao:
Pure spatial rich model features for digital image steganalysis. Multim. Tools Appl. 75(5): 2897-2912 (2016) - [j38]Jun Zhang, Zhihui Wei, Liang Xiao:
Bi-component decomposition based hybrid regularization method for partly-textured CS-MR image reconstruction. Signal Process. 128: 274-290 (2016) - [j37]Kun Tan, Xiao Jin, Antonio Plaza, Xuesong Wang, Liang Xiao, Peijun Du:
Automatic Change Detection in High-Resolution Remote Sensing Images by Using a Multiple Classifier System and Spectral-Spatial Features. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(8): 3439-3451 (2016) - [j36]Bushra Naz Soomro, Liang Xiao, Lili Huang, Shahzad Hyder Soomro, Mohsen Molaei:
Bilayer Elastic Net Regression Model for Supervised Spectral-Spatial Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(9): 4102-4116 (2016) - [j35]Jianjun Liu, Zebin Wu, Jun Li, Liang Xiao, Antonio Plaza, Jón Atli Benediktsson:
Spatial-Spectral Hyperspectral Image Classification Using Random Multiscale Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(9): 4129-4141 (2016) - [j34]Pengfei Liu, Liang Xiao, Songze Tang:
A New Geometry Enforcing Variational Model for Pan-Sharpening. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(12): 5726-5739 (2016) - [j33]Pengfei Liu, Liang Xiao, Jun Zhang, Bushra Naz:
Spatial-Hessian-Feature-Guided Variational Model for Pan-Sharpening. IEEE Trans. Geosci. Remote. Sens. 54(4): 2235-2253 (2016) - [c45]Yu Shen, Liang Xiao, Mohsen Molaei:
Joint Multiview Fused ELM Learning with Propagation Filter for Hyperspectral Image Classification. ACCV Workshops (1) 2016: 374-388 - [c44]Yang Li, Zhichao Lian, Min Li, Zhonggeng Liu, Liang Xiao, Zhihui Wei:
ELM-based classification of ADHD patients using a novel local feature extraction method. BIBM 2016: 489-492 - [c43]Yu Shen, Jinhuan Xu, Heng Li, Liang Xiao:
ELM-based spectral-spatial classification of hyperspectral images using bilateral filtering information on spectral band-subsets. IGARSS 2016: 497-500 - [c42]Bushra Naz Soomro, Liang Xiao, Shahzad Hyder Soomro:
Non-local Spectral-spatial Centralized Sparse Representation for hyperspectral image classification. IGARSS 2016: 509-512 - [c41]Jianjun Liu, Xiaoqian Shi, Zebin Wu, Liang Xiao, Zhiyong Xiao, Yunhao Yuan:
Hyperspectral image classification via region-based composite kernels. IGARSS 2016: 933-936 - [c40]Jue Jiang, Lili Huang, Heng Li, Liang Xiao:
Hyperspectral image supervised classification via multi-view nuclear norm based 2D PCA feature extraction and kernel ELM. IGARSS 2016: 1496-1499 - [c39]Pengfei Liu, Liang Xiao, Songze Tang, Le Sun:
Fractional order variational pan-sharpening. IGARSS 2016: 2602-2605 - 2015
- [j32]Pengfei Liu, Liang Xiao:
Efficient multiplicative noise removal method using isotropic second order total variation. Comput. Math. Appl. 70(8): 2029-2048 (2015) - [j31]Tianming Zhan, Yongzhao Zhan, Zhe Liu, Liang Xiao, Zhihui Wei:
Automatic method for white matter lesion segmentation based on T1-fluid-attenuated inversion recovery images. IET Comput. Vis. 9(4): 447-455 (2015) - [j30]Liqian Wang, Liang Xiao, Zhihui Wei:
Image dehazing using two-dimensional canonical correlation analysis. IET Comput. Vis. 9(6): 903-913 (2015) - [j29]Liqian Wang, Liang Xiao, Hongyi Liu, Zhihui Wei:
Local brightness adaptive image colour enhancement with Wasserstein distance. IET Image Process. 9(1): 43-53 (2015) - [j28]Lili Huang, Liang Xiao, Qinghua Chen, Kai Wang:
Color demosaicking via robust adaptive sparse representation. J. Electronic Imaging 24(5): 053012 (2015) - [j27]Wei Huang, Liang Xiao, Zhihui Wei, Hongyi Liu, Songze Tang:
A New Pan-Sharpening Method With Deep Neural Networks. IEEE Geosci. Remote. Sens. Lett. 12(5): 1037-1041 (2015) - [j26]Wei Huang, Liang Xiao, Hongyi Liu, Zhihui Wei:
Hyperspectral Imagery Super-Resolution by Compressive Sensing Inspired Dictionary Learning and Spatial-Spectral Regularization. Sensors 15(1): 2041-2058 (2015) - [j25]Zhengrong Zhang, Jun Zhang, Zhihui Wei, Liang Xiao:
Cartoon-texture composite regularization based non-blind deblurring method for partly-textured blurred images with Poisson noise. Signal Process. 116: 127-140 (2015) - [j24]Le Sun, Zebin Wu, Jianjun Liu, Liang Xiao, Zhihui Wei:
Supervised Spectral-Spatial Hyperspectral Image Classification With Weighted Markov Random Fields. IEEE Trans. Geosci. Remote. Sens. 53(3): 1490-1503 (2015) - [c38]Songze Tang, Liang Xiao, Pengfei Liu, Huicong Wu:
Coupled learning based on singular-values-unique and hog for face hallucination. ICASSP 2015: 1315-1319 - [c37]Shumiao Chen, Liang Xiao, Zhihui Wei, Wei Huang:
Pan-Sharpening via Coupled Unitary Dictionary Learning. ICIG (3) 2015: 1-10 - [c36]Kai Wang, Yu Shen, Liang Xiao, Zhihui Wei, Linxue Sheng:
Blind Motion Deblurring Based on Fused l0-l1 Regularization. ICIG (2) 2015: 1-10 - [c35]Renping Yu, Liang Xiao, Zhihui Wei, Xuan Fei:
Automatic Segmentation of White Matter Lesions Using SVM and RSF Model in Multi-channel MRI. ICIG (1) 2015: 654-663 - [c34]Pengfei Liu, Liang Xiao, Songze Tang:
A new variational method for pan-sharpening. IGARSS 2015: 597-600 - [c33]Songze Tang, Liang Xiao, Bushra Naz, Pengfei Liu, Yufeng Chen:
Joint dictionary learning with ridge regression for pansharpening. IGARSS 2015: 613-616 - 2014
- [j23]Can Feng, Liang Xiao, Zhi-Hui Wei:
Compressive Sensing Inverse Synthetic Aperture Radar Imaging Based on Gini Index Regularization. Int. J. Autom. Comput. 11(4): 441-448 (2014) - [j22]Songze Tang, Liang Xiao, Pengfei Liu, Jun Zhang, Lili Huang:
Edge and color preserving single image superresolution. J. Electronic Imaging 23(3): 033002 (2014) - [j21]Songze Tang, Liang Xiao, Pengfei Liu, Huicong Wu:
Partial least-squares regression on common feature space for single image superresolution. J. Electronic Imaging 23(5): 053006 (2014) - [j20]Jianjun Liu, Zebin Wu, Le Sun, Zhihui Wei, Liang Xiao:
Hyperspectral Image Classification Using Kernel Sparse Representation and Semilocal Spatial Graph Regularization. IEEE Geosci. Remote. Sens. Lett. 11(8): 1320-1324 (2014) - [j19]Jun Zhang, Zhihui Wei, Liang Xiao:
A fast adaptive reweighted residual-feedback iterative algorithm for fractional-order total variation regularized multiplicative noise removal of partly-textured images. Signal Process. 98: 381-395 (2014) - [j18]Liqian Wang, Liang Xiao, Hongyi Liu, Zhihui Wei:
Variational Bayesian Method for Retinex. IEEE Trans. Image Process. 23(8): 3381-3396 (2014) - [j17]Nianyin Zeng, Zidong Wang, Bachar Zineddin, Yurong Li, Min Du, Liang Xiao, Xiaohui Liu, Terry Young:
Image-Based Quantitative Analysis of Gold Immunochromatographic Strip via Cellular Neural Network Approach. IEEE Trans. Medical Imaging 33(5): 1129-1136 (2014) - [c32]Hongyi Liu, Zhengrong Zhang, Liang Xiao, Zhihui Wei:
Adaptive tensor matrix based kernel regression for hyperspectral image denoising. IGARSS 2014: 4616-4619 - [c31]Wei Huang, Zebin Wu, Hongyi Liu, Liang Xiao, Zhihui Wei:
Spatial-spectral compressive sensing for hyperspectral images super-resolution over learned dictionary. IGARSS 2014: 4930-4933 - 2013
- [j16]Qi Ge, Liang Xiao, Hu Huang, Zhihui Wei:
An active contour model driven by anisotropic region fitting energy for image segmentation. Digit. Signal Process. 23(1): 238-243 (2013) - [j15]Qi Ge, Liang Xiao, Zhihui Wei:
Active contour model for simultaneous MR image segmentation and denoising. Digit. Signal Process. 23(4): 1186-1196 (2013) - [j14]Liang Xiao, Jun Shao, Lili Huang, Zhihui Wei:
A novel compound regularization and fast algorithm for compressive sensing deconvolution. Neurocomputing 119: 131-138 (2013) - [j13]Liqian Wang, Liang Xiao, Jun Zhang, Zhihui Wei:
New image restoration method associated with tetrolets shrinkage and weighted anisotropic total variation. Signal Process. 93(4): 661-670 (2013) - [j12]Xuan Fei, Zhihui Wei, Liang Xiao:
Iterative Directional Total Variation Refinement for Compressive Sensing Image Reconstruction. IEEE Signal Process. Lett. 20(11): 1070-1073 (2013) - [j11]Jianjun Liu, Zebin Wu, Zhihui Wei, Liang Xiao, Le Sun:
Spatial-Spectral Kernel Sparse Representation for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(6): 2462-2471 (2013) - [c30]Qi Ge, Liang Xiao, Liqian Wang, Zhengrong Zhang, Zhihui Wei:
A hybrid active contour model with structure feature for image segmentation. ICIP 2013: 1242-1246 - [c29]Can Feng, Liang Xiao, Zhihui Wei:
Compressive sensing ISAR imaging with stepped frequency continuous wave via Gini sparsity. IGARSS 2013: 2063-2066 - 2012
- [j10]Jun Zhang, Zhihui Wei, Liang Xiao:
Fractional-order iterative regularization method for total variation based image denoising. J. Electronic Imaging 21(4): 043005 (2012) - [j9]Jun Zhang, Zhihui Wei, Liang Xiao:
Adaptive Fractional-order Multi-scale Method for Image Denoising. J. Math. Imaging Vis. 43(1): 39-49 (2012) - [j8]Qi Ge, Liang Xiao, Jun Zhang, Zhihui Wei:
An improved region-based model with local statistical features for image segmentation. Pattern Recognit. 45(4): 1578-1590 (2012) - [j7]Qi Ge, Liang Xiao, Jun Zhang, Zhihui Wei:
A robust patch-statistical active contour model for image segmentation. Pattern Recognit. Lett. 33(12): 1549-1557 (2012) - [j6]Xuan Fei, Liang Xiao, Yubao Sun, Zhihui Wei:
Perceptual image quality assessment based on structural similarity and visual masking. Signal Process. Image Commun. 27(7): 772-783 (2012) - [c28]Can Feng, Tianming Liu, Liang Xiao, Zhihui Wei:
A Hybrid Point-Sets Clustering Approach to Identification of Resting State Functional Network. CCPR 2012: 350-358 - [c27]Jun Zhang, Zhihui Wei, Liang Xiao:
A Relaxed Split Bregman Iteration for Total Variation Regularized Image Denoising. ICIC (2) 2012: 189-197 - [c26]Jianjun Liu, Zebin Wu, Zhihui Wei, Liang Xiao, Le Sun:
A novel sparsity constrained nonnegative matrix factorization for hyperspectral unmixing. IGARSS 2012: 1389-1392 - [c25]Liang Xiao, Heng Li, Huixia Wang, Liqian Wang:
Tetrolet Regularization and Learning for Single Frame Image Super-Resolution. IScIDE 2012: 380-389 - [c24]Can Feng, Tianming Liu, Liang Xiao, Zhihui Wei:
Optimization and Fiber-Centered Prediction of Functional Network ROIs. IScIDE 2012: 390-397 - [c23]Tianming Zhan, Zhihui Wei, Liang Xiao, Ling Qian:
A parametric statistic model and fast algorithm for brain MR image segmentation and bias correction. Medical Imaging: Image Processing 2012: 83142I - 2011
- [c22]Liang Xiao, Lili Huang, Fanbiao Zhang:
Perceptual Saliency Driven Total Variation for Image Denoising Using Tensor Voting. ICIG 2011: 111-116 - [c21]Liang Xiao, Jun Shao, Lili Huang, Zhihui Wei:
Compounded Regularization and Fast Algorithm for Compressive Sensing Deconvolution. ICIG 2011: 616-621 - [c20]Haojie Li, Xiaohui Wang, Jinhui Tang, Lei Yi, Liang Xiao:
iSearch: towards precise retrieval of item image. ICIMCS 2011: 5-8 - [c19]Lili Huang, Liang Xiao, Zhihui Wei, Zhengrong Zhang:
Variational image restoration based on Poisson singular integral and curvelet-type decomposition space regularization. ICIP 2011: 685-688 - [c18]Qi Ge, Zhihui Wei, Liang Xiao, Jun Zhang:
An improved region-based model with local statistical feature. ICIP 2011: 3341-3344 - 2010
- [j5]Liang Xiao, Lili Huang, Badrinath Roysam:
Image Variational Denoising Using Gradient Fidelity on Curvelet Shrinkage. EURASIP J. Adv. Signal Process. 2010 (2010) - [j4]Liang Xiao, Lili Huang, Zhihui Wei:
A Weberized Total Variation Regularization-Based Image Multiplicative Noise Removal Algorithm. EURASIP J. Adv. Signal Process. 2010 (2010) - [j3]Lili Huang, Liang Xiao, Zhihui Wei:
Multiplicative Noise Removal via a Novel Variational Model. EURASIP J. Image Video Process. 2010 (2010) - [j2]Liang Xiao, Lili Huang, Zhihui Wei:
Comments on "Staircase effect alleviation by coupling gradient fidelity term". Image Vis. Comput. 28(11): 1569-1574 (2010) - [c17]Liang Xiao, Xiaosong Yuan, Zack Galbreath, Badrinath Roysam:
Automatic and Reliable Extraction of Dendrite Backbone from Optical Microscopy Images. LSMS/ICSEE 2010: 100-112
2000 – 2009
- 2009
- [c16]Lili Huang, Liang Xiao, Zhihui Wei:
A Nonlinear Inverse Scale Space Method for Multiplicative Noise Removal Based on Weberized Total Variation. ICIG 2009: 119-123 - [c15]Xingxiu Li, Zhihui Wei, Liang Xiao, Yubao Sun, Jian Yang:
Compressed sensing image reconstruction based on morphological component analysis. ICIP 2009: 2129-2132 - 2008
- [j1]Liang Xiao, Zhihui Wei, Jianbing Ye:
Comments on "Robust embedding of visual watermarks using discrete wavelet transform and singular value decomposition" and theoretical analysis. J. Electronic Imaging 17(4): 040501 (2008) - [c14]Xiang-wei Zhu, Liang Xiao:
Research of Multiple Watermarks Algorithm in E-commerce Copyright Protection and Tracking. CIS (1) 2008: 300-304 - 2007
- [c13]Liang Xiao, Zhihui Wei, Huizhong Wu:
Novel Method for Computer Create Van Gogh's Oil Style Painting. Edutainment 2007: 740-750 - [c12]Lei Gu, Huizhong Wu, Liang Xiao:
A Novel Classification Algorithm Based on Fuzzy Kernel Multiple Hyperspheres. FSKD (2) 2007: 114-118 - [c11]Gang Wang, Liang Xiao, Anzhi He:
A Sub-pixel Multifractal Method for the Image Segmentation. FSKD (4) 2007: 566-572 - [c10]Liang Xiao, Zhihui Wei:
A Super-resolution Reconstruction via Local and Contextual Information Driven Partial Differential Equations. FSKD (4) 2007: 726-730 - [c9]Liang Xiao, Zhihui Wei, Huizhong Wu:
Robust Orientation Diffusion Via PCA Method and Application to Image Super-Resolution Reconstruction. LSMS (1) 2007: 726-735 - 2006
- [c8]Liang Xiao, Zhihui Wei, Huizhong Wu:
Embedding Image Watermarks into Local Linear Singularity Coefficients in Ridgelet Domain. VSMM 2006: 119-127 - 2005
- [c7]Liang Xiao, Chenrong Huang, Haijun Liang, Huizhong Wu:
Concealment of Damaged Block Coded Images Using Intelligent Two-Step Best Neighborhood Matching Algorithm. CGIV 2005: 38-42 - [c6]Shenglei Chen, Huizhong Wu, Xianglan Han, Liang Xiao:
Collaborative design environment based on multi-agent. CSCWD (1) 2005: 481-485 - 2004
- [c5]Liang Xiao, Huizhong Wu, Shuchun Tang, Yang Liu:
Modeling and Simulation of Digital Scene Image Synthesis Using Image Intensified CCD Under Different Weathers in Scene Matching Simulation System. AsiaSim 2004: 607-616 - [c4]Tang Yang, Huizhong Wu, Xiao Fu, Liang Xiao:
Inverse image warping without searching. ICARCV 2004: 386-390 - [c3]Tang Yang, Huizhong Wu, Xiao Fu, Liang Xiao:
Compute visibility without depth in multi-reference images. ICARCV 2004: 815-820 - [c2]Liang Xiao, Huizhong Wu, Zhihui Wei:
Generalized Mumford-Shah model and fast algorithm for color image restoration and edge detection. ICIG 2004: 68-71 - 2000
- [c1]Zhihui Wei, Liang Xiao:
An Evaluation Method for Watermarking Techniques. IEEE International Conference on Multimedia and Expo (I) 2000: 373-376
Coauthor Index
Zhihui Wei
aka: Zhi-Hui Wei
aka: Zhi-Hui Wei
[j101] [j88] [c85] [j75] [j74] [c74] [c68] [j58] [j52] [c57] [j49] [j46] [j44] [c52] [j40] [j39] [j38] [c44] [j31] [j30] [j29] [j27] [j26] [j25] [j24] [c37] [c36] [c35] [j23] [j20] [j19] [j18] [c32] [c31] [j16] [j15] [j14] [j13] [j12] [j11] [c30] [c29] [j10] [j9] [j8] [j7] [j6] [c28] [c27] [c26] [c24] [c23] [c21] [c19] [c18] [j4] [j3] [j2] [c16] [c15] [j1] [c13] [c10] [c9] [c8] [c2] [c1]
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last updated on 2024-11-15 19:31 CET by the dblp team
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