default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDLeyuan Fang
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j138]Hao Feng, Leyuan Fang, Shuaiyu Ding, Junwu Yu, Min He, Lin Tang:
Statistical adaptive modeling for kitchen waste detection in complex scenes. Appl. Soft Comput. 161: 111743 (2024)- [j137]Zhen Yang
, Jun Yue, Pedram Ghamisi, Shiliang Zhang, Jiayi Ma, Leyuan Fang:
Open Set Recognition in Real World. Int. J. Comput. Vis. 132(8): 3208-3231 (2024) - [j136]Lihan Ouyang, Leyuan Fang, Qi Tang, Shuaiyu Ding, Junwu Yu, Jiaxing Lin, Lin Tang:
Prototypical contrastive learning based oriented detector for kitchen waste. Neurocomputing 601: 128239 (2024) - [j135]Jianhang Zhou, Hengmin Zhang, Shuyi Li, Bob Zhang, Leyuan Fang, David Zhang:
Dual low-rank structure embedding for robust visual information processing. Knowl. Based Syst. 296: 111821 (2024) - [j134]Jianhang Zhou, Qi Zhang, Shaoning Zeng, Bob Zhang, Leyuan Fang:
Latent Linear Discriminant Analysis for feature extraction via Isometric Structural Learning. Pattern Recognit. 149: 110218 (2024) - [j133]Yuhan Kang, Jie Wu, Qiang Liu, Jun Yue, Leyuan Fang:
Trans-Diff: Heterogeneous Domain Adaptation for Remote Sensing Segmentation With Transfer Diffusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 18413-18426 (2024) - [j132]Jie Wu, Leyuan Fang, Jun Yue:
TAKD: Target-Aware Knowledge Distillation for Remote Sensing Scene Classification. IEEE Trans. Circuits Syst. Video Technol. 34(9): 8188-8200 (2024) - [j131]Daixun Li, Weiying Xie, Zixuan Wang, Yibing Lu, Yunsong Li, Leyuan Fang:
FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients. IEEE Trans. Circuits Syst. Video Technol. 34(10): 10353-10367 (2024) - [j130]Ning Chen, Leyuan Fang, Yang Xia, Shaobo Xia, Hui Liu, Jun Yue:
Spectral Query Spatial: Revisiting the Role of Center Pixel in Transformer for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j129]Leyuan Fang, Yiqi Jiang, Hongfeng Yu, Yingying Zhang, Jun Yue:
Point Label Meets Remote Sensing Change Detection: A Consistency-Aligned Regional Growth Network. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j128]Wei Fu, Kai Xie, Leyuan Fang:
Complementarity-Aware Local-Global Feature Fusion Network for Building Extraction in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j127]Ben Li, Leyuan Fang, Ning Chen, Jitong Kang, Jun Yue:
Enhancing Hyperspectral Image Classification: Leveraging Unsupervised Information With Guided Group Contrastive Learning. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j126]Daixun Li, Weiying Xie, Yunsong Li, Leyuan Fang:
FedFusion: Manifold-Driven Federated Learning for Multi-Satellite and Multi-Modality Fusion. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j125]Qiang Liu, Jun Yue, Yi Fang, Shaobo Xia, Leyuan Fang:
HyperMamba: A Spectral-Spatial Adaptive Mamba for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j124]Yidan Liu, Jun Yue, Shaobo Xia, Pedram Ghamisi, Weiying Xie, Leyuan Fang:
Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives. IEEE Trans. Geosci. Remote. Sens. 62: 1-22 (2024) - [j123]Jie Xie, Leyuan Fang, Cheng Wu, Feng Xie, Jocelyn Chanussot:
Blind Spectral Super-Resolution by Estimating Spectral Degradation Between Unpaired Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j122]Yinglong Yan, Jun Yue, Jiaxing Lin, Zhengyang Guo, Yi Fang, Zhenhao Li, Weiying Xie, Leyuan Fang:
When Vectorization Meets Change Detection. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j121]Aitao Yang, Min Li, Yao Ding, Leyuan Fang, Yaoming Cai, Yujie He:
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j120]Bin Yang, Zhulian Wang, Xinxin Liu, Leyuan Fang, Licheng Liu:
Reciprocal Transformation-Based Joint Deep and Broad Learning for Change Detection With Heterogeneous Images. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j119]Xia Yue, Anfeng Liu, Ning Chen, Shaobo Xia, Jun Yue, Leyuan Fang:
HyperMLL: Toward Robust Hyperspectral Image Classification With Multisource Label Learning. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j118]Ruijun Ma, Yaoxuan Zhang, Bob Zhang, Leyuan Fang, Dong Huang, Long Qi:
Learning Attention in the Frequency Domain for Flexible Real Photograph Denoising. IEEE Trans. Image Process. 33: 3707-3721 (2024) - [j117]Qiang Liu, Jun Yue, Yang Kuang, Weiying Xie, Leyuan Fang:
SemiRS-COC: Semi-Supervised Classification for Complex Remote Sensing Scenes With Cross-Object Consistency. IEEE Trans. Image Process. 33: 3855-3870 (2024) - [j116]Bin Yang, Yin Mao, Licheng Liu, Leyuan Fang, Xinxin Liu:
Change Representation and Extraction in Stripes: Rethinking Unsupervised Hyperspectral Image Change Detection With an Untrained Network. IEEE Trans. Image Process. 33: 5098-5113 (2024) - [j115]Leyuan Fang, Peng Zhou, Xinxin Liu, Pedram Ghamisi, Si-Wei Chen:
Context Enhancing Representation for Semantic Segmentation in Remote Sensing Images. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4138-4152 (2024) - [j114]Mingkui Tan, Zhiquan Wen, Leyuan Fang, Qi Wu:
Transformer-Based Relational Inference Network for Complex Visual Relational Reasoning. ACM Trans. Multim. Comput. Commun. Appl. 20(1): 10:1-10:23 (2024) - [c30]Weiying Xie, Haowei Li, Jitao Ma, Yunsong Li, Jie Lei, Donglai Liu, Leyuan Fang:
JointSQ: Joint Sparsification-Quantization for Distributed Learning. CVPR 2024: 5778-5787 - [c29]Wei Fu, Kai Xie, Xingbei Du, Leyuan Fang:
Semantic Alignment Network For Building Extraction From Remote Sensing Images. IGARSS 2024: 8127-8130 - [c28]Hebaixu Wang, Hao Zhang, Xunpeng Yi, Xinyu Xiang, Leyuan Fang, Jiayi Ma:
TeRF: Text-driven and Region-aware Flexible Visible and Infrared Image Fusion. ACM Multimedia 2024: 935-944 - [i21]Daixun Li, Weiying Xie, Zixuan Wang, Yibing Lu, Yunsong Li, Leyuan Fang:
FedDiff: Diffusion Model Driven Federated Learning for Multi-Modal and Multi-Clients. CoRR abs/2401.02433 (2024) - [i20]Yidan Liu, Jun Yue, Shaobo Xia, Pedram Ghamisi, Weiying Xie, Leyuan Fang:
Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives. CoRR abs/2404.08926 (2024) - [i19]Yidan Liu, Weiying Xie, Kai Jiang, Jiaqing Zhang, Yunsong Li, Leyuan Fang:
Hyperspectral Anomaly Detection with Self-Supervised Anomaly Prior. CoRR abs/2404.13342 (2024) - [i18]Aitao Yang, Min Li, Yao Ding, Leyuan Fang, Yaoming Cai, Yujie He:
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification. CoRR abs/2407.08255 (2024) - [i17]Daixun Li, Weiying Xie, Mingxiang Cao, Yunke Wang, Jiaqing Zhang, Yunsong Li, Leyuan Fang, Chang Xu:
FusionSAM: Latent Space driven Segment Anything Model for Multimodal Fusion and Segmentation. CoRR abs/2408.13980 (2024) - [i16]Yuhan Kang, Qingpeng Li, Leyuan Fang, Jian Zhao, Xuelong Li:
SurANet: Surrounding-Aware Network for Concealed Object Detection via Highly-Efficient Interactive Contrastive Learning Strategy. CoRR abs/2410.06842 (2024) - [i15]Qingpeng Li, Yuxin Zhang, Leyuan Fang, Yuhan Kang, Shutao Li, Xiao Xiang Zhu:
DREB-Net: Dual-stream Restoration Embedding Blur-feature Fusion Network for High-mobility UAV Object Detection. CoRR abs/2410.17822 (2024) - 2023
- [j113]Guancheng Wang, Zhihao Hao, Bob Zhang, Leyuan Fang, Dianhui Mao:
A robust newton iterative algorithm for acoustic location based on solving linear matrix equations in the presence of various noises. Appl. Intell. 53(2): 1219-1232 (2023) - [j112]Ashkan Abbasi, Amirhassan Monadjemi, Leyuan Fang, Hossein Rabbani, Bhavna Josephine Antony, Hiroshi Ishikawa:
Mixed multiscale BM4D for three-dimensional optical coherence tomography denoising. Comput. Biol. Medicine 155: 106658 (2023) - [j111]Jie Wu, Runmin Cong, Leyuan Fang, Chunle Guo, Bob Zhang, Pedram Ghamisi:
Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network. Sci. China Inf. Sci. 66(1) (2023) - [j110]Zhihao Hao, Guancheng Wang, Bob Zhang, Leyuan Fang, Haisheng Li:
An Isomerism Learning Model to Solve Time-Varying Problems Through Intelligent Collaboration. IEEE CAA J. Autom. Sinica 10(8): 1772-1774 (2023) - [j109]Hui Wang, Guangcheng Wang, Wenjun Xia, Ziyuan Yang, Hui Yu, Leyuan Fang, Yi Zhang:
Blind Image Quality Assessment via Deep Response Feature Decomposition and Aggregation. IEEE J. Sel. Top. Signal Process. 17(6): 1165-1177 (2023) - [j108]Yong Dai, Weiwei Song, Zhi Gao, Leyuan Fang:
Global-guided weakly-supervised learning for multi-label image classification. J. Vis. Commun. Image Represent. 93: 103823 (2023) - [j107]Linshan Wu, Leyuan Fang, Xingxin He, Min He, Jiayi Ma, Zhun Zhong:
Querying Labeled for Unlabeled: Cross-Image Semantic Consistency Guided Semi-Supervised Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8827-8844 (2023) - [j106]Junzhe Lu, Guangjun He, Hongkun Dou, Qing Gao, Leyuan Fang, Yue Deng:
ScoreSeg: Leveraging Score-Based Generative Model for Self-Supervised Semantic Segmentation of Remote Sensing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 8818-8833 (2023) - [j105]Ruijun Ma, Shuyi Li, Bob Zhang, Leyuan Fang, Zhengming Li:
Flexible and Generalized Real Photograph Denoising Exploiting Dual Meta Attention. IEEE Trans. Cybern. 53(10): 6395-6407 (2023) - [j104]Ning Chen, Jun Yue, Leyuan Fang, Shaobo Xia:
SpectralDiff: A Generative Framework for Hyperspectral Image Classification With Diffusion Models. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j103]Leyuan Fang, Yifan Jiang, Yinglong Yan, Jun Yue, Yue Deng:
Hyperspectral Image Instance Segmentation Using Spectral-Spatial Feature Pyramid Network. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j102]Leyuan Fang, Yang Kuang, Qiang Liu, Yi Yang, Jun Yue:
Rethinking Remote Sensing Pretrained Model: Instance-Aware Visual Prompting for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j101]Leyuan Fang, Yinglong Yan, Jun Yue, Yue Deng:
Toward the Vectorization of Hyperspectral Imagery. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j100]Qiang Liu, Min He, Yang Kuang, Linshan Wu, Jun Yue, Leyuan Fang:
A Multi-Level Label-Aware Semi-Supervised Framework for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j99]Lihan Ouyang, Guangmiao Guo, Leyuan Fang, Pedram Ghamisi, Jun Yue:
PCLDet: Prototypical Contrastive Learning for Fine-Grained Object Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [j98]Weiwei Song, Yong Dai, Zhi Gao, Leyuan Fang, Yongjun Zhang:
Hashing-Based Deep Metric Learning for the Classification of Hyperspectral and LiDAR Data. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j97]Shao Xiang, Qiaokang Liang, Leyuan Fang:
Discrete Wavelet Transform-Based Gaussian Mixture Model for Remote Sensing Image Compression. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j96]Weiying Xie, Xiaoyi Fan, Xin Zhang, Yunsong Li, Min Sheng, Leyuan Fang:
Co-Compression via Superior Gene for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j95]Bo Peng, Yuxuan Yao, Jianjun Lei, Leyuan Fang, Qingming Huang:
Graph-Based Structural Deep Spectral-Spatial Clustering for Hyperspectral Image. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j94]Xingxin He, Zhun Zhong, Leyuan Fang, Min He, Nicu Sebe:
Structure-Guided Cross-Attention Network for Cross-Domain OCT Fluid Segmentation. IEEE Trans. Image Process. 32: 309-320 (2023) - [j93]Xin Zhang, Weiying Xie, Yunsong Li, Kai Jiang, Leyuan Fang:
REAF: Remembering Enhancement and Entropy-Based Asymptotic Forgetting for Filter Pruning. IEEE Trans. Image Process. 32: 3912-3923 (2023) - [j92]Jie Wu, Dingshun Zhu, Leyuan Fang, Yue Deng, Zhun Zhong:
Efficient Layer Compression Without Pruning. IEEE Trans. Image Process. 32: 4689-4700 (2023) - [j91]Jun Yue, Leyuan Fang, Shaobo Xia, Yue Deng, Jiayi Ma:
Dif-Fusion: Toward High Color Fidelity in Infrared and Visible Image Fusion With Diffusion Models. IEEE Trans. Image Process. 32: 5705-5720 (2023) - [c27]Linshan Wu, Zhun Zhong, Leyuan Fang, Xingxin He, Qiang Liu, Jiayi Ma, Hao Chen:
Sparsely Annotated Semantic Segmentation with Adaptive Gaussian Mixtures. CVPR 2023: 15454-15464 - [c26]Yifan Lu, Jiayi Ma, Leyuan Fang, Xin Tian, Junjun Jiang:
Robust and Scalable Gaussian Process Regression and Its Applications. CVPR 2023: 21950-21959 - [c25]Wen-jin Guo, Weiying Xie, Kai Jiang, Yunsong Li, Jie Lei, Leyuan Fang:
Toward Stable, Interpretable, and Lightweight Hyperspectral Super-Resolution. CVPR 2023: 22272-22281 - [c24]Weiwei Song, Zhi Gao, Leyuan Fang, Yongjun Zhang:
A New Multi-Level Attention Feature Fusion Method for Hyperspectral and Lidar Data Joint Classification. IGARSS 2023: 5978-5981 - [i14]Jun Yue, Leyuan Fang, Shaobo Xia, Yue Deng, Jiayi Ma:
Dif-Fusion: Towards High Color Fidelity in Infrared and Visible Image Fusion with Diffusion Models. CoRR abs/2301.08072 (2023) - [i13]Ning Chen, Jun Yue, Leyuan Fang, Shaobo Xia:
SpectralDiff: Hyperspectral Image Classification with Spectral-Spatial Diffusion Models. CoRR abs/2304.05961 (2023) - [i12]Jitao Ma, Weiying Xie, Yunsong Li, Leyuan Fang:
BSDM: Background Suppression Diffusion Model for Hyperspectral Anomaly Detection. CoRR abs/2307.09861 (2023) - [i11]Daixun Li, Weiying Xie, Yunsong Li, Leyuan Fang:
FedFusion: Manifold Driven Federated Learning for Multi-satellite and Multi-modality Fusion. CoRR abs/2311.09540 (2023) - [i10]Weiying Xie, Xiaoyi Fan, Xin Zhang, Yunsong Li, Jie Lei, Leyuan Fang:
Physics Inspired Criterion for Pruning-Quantization Joint Learning. CoRR abs/2312.00851 (2023) - [i9]Shaobo Xia, Jun Yue, Kacper Kania, Leyuan Fang, Andrea Tagliasacchi, Kwang Moo Yi, Weiwei Sun:
Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation. CoRR abs/2312.06799 (2023) - 2022
- [j90]Leyuan Fang, Dingshun Zhu, Jun Yue, Bob Zhang, Min He:
Geometric-Spectral Reconstruction Learning for Multi-Source Open-Set Classification With Hyperspectral and LiDAR Data. IEEE CAA J. Autom. Sinica 9(10): 1892-1895 (2022) - [j89]Minghui Wang, Qingpeng Li, Yunchao Gu, Leyuan Fang, Xiao Xiang Zhu:
SCAF-Net: Scene Context Attention-Based Fusion Network for Vehicle Detection in Aerial Imagery. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j88]Leyuan Fang, Jiahuan Guo, Xingxin He, Muxing Li:
Self-supervised patient-specific features learning for OCT image classification. Medical Biol. Eng. Comput. 60(10): 2851-2863 (2022) - [j87]Yaowei Wang, Zhouxin Yang, Rui Liu, Deng Li, Yuandu Lai, Lihan Ouyang, Leyuan Fang, Yahong Han:
Multi-attribute object detection benchmark for smart city. Multim. Syst. 28(6): 2423-2435 (2022) - [j86]Tan Guo, Fulin Luo, Leyuan Fang, Bob Zhang:
Meta-Pixel-Driven Embeddable Discriminative Target and Background Dictionary Pair Learning for Hyperspectral Target Detection. Remote. Sens. 14(3): 481 (2022) - [j85]Ziwen Kan, Suhang Li, Mingzheng Hou, Leyuan Fang, Yi Zhang:
Attention-Based Octave Network for Hyperspectral Image Denoising. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1089-1102 (2022) - [j84]Jiahui Ni, Zhimin Shao, Zhongzhou Zhang, Mingzheng Hou, Jiliu Zhou, Leyuan Fang, Yi Zhang:
LDP-Net: An Unsupervised Pansharpening Network Based on Learnable Degradation Processes. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 5468-5479 (2022) - [j83]Lihan Ouyang, Leyuan Fang, Xinyu Ji:
Multigranularity Self-Attention Network for Fine-Grained Ship Detection in Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 9722-9732 (2022) - [j82]Runmin Cong, Yumo Zhang, Leyuan Fang, Jun Li, Yao Zhao, Sam Kwong:
RRNet: Relational Reasoning Network With Parallel Multiscale Attention for Salient Object Detection in Optical Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j81]Zezhou Li, Jun Yue, Leyuan Fang:
Adaptive Regional Multiple Features for Large-Scale High-Resolution Remote Sensing Image Registration. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j80]Ming Lu, Leyuan Fang, Muxing Li, Bob Zhang, Yi Zhang, Pedram Ghamisi:
NFANet: A Novel Method for Weakly Supervised Water Extraction From High-Resolution Remote-Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j79]Ting Lu, Yaochen Hu, Wei Fu, Kexing Ding, Beifang Bai, Leyuan Fang:
SCL-Net: An End-to-End Supervised Contrastive Learning Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j78]Linshan Wu, Ming Lu, Leyuan Fang:
Deep Covariance Alignment for Domain Adaptive Remote Sensing Image Segmentation. IEEE Trans. Geosci. Remote. Sens. 60: 1-11 (2022) - [j77]Jie Xie, Leyuan Fang, Bob Zhang, Jocelyn Chanussot, Shutao Li:
Super Resolution Guided Deep Network for Land Cover Classification From Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j76]Jun Yue, Leyuan Fang, Hossein Rahmani, Pedram Ghamisi:
Self-Supervised Learning With Adaptive Distillation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j75]Jun Yue, Dingshun Zhu, Leyuan Fang, Pedram Ghamisi, Yaowei Wang:
Adaptive Spatial Pyramid Constraint for Hyperspectral Image Classification With Limited Training Samples. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j74]Ying Zhang, Puhong Duan, Jianxu Mao, Xudong Kang, Leyuan Fang, Pedram Ghamisi:
Contour Structural Profiles: An Edge-Aware Feature Extractor for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j73]Xingxin He, Leyuan Fang, Mingkui Tan, Xiangdong Chen:
Intra- and Inter-Slice Contrastive Learning for Point Supervised OCT Fluid Segmentation. IEEE Trans. Image Process. 31: 1870-1881 (2022) - [j72]Jun Yue, Leyuan Fang, Min He:
Spectral-Spatial Latent Reconstruction for Open-Set Hyperspectral Image Classification. IEEE Trans. Image Process. 31: 5227-5241 (2022) - [j71]Linshan Wu, Leyuan Fang, Jun Yue, Bob Zhang, Pedram Ghamisi, Min He:
Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images. IEEE Trans. Image Process. 31: 7419-7434 (2022) - [i8]Ming Lu, Leyuan Fang, Muxing Li, Bob Zhang, Yi Zhang, Pedram Ghamisi:
NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery. CoRR abs/2201.03686 (2022) - [i7]Yaowei Wang, Zhouxin Yang, Rui Liu, Deng Li, Yuandu Lai, Leyuan Fang, Yahong Han:
Peng Cheng Object Detection Benchmark for Smart City. CoRR abs/2203.05949 (2022) - [i6]Jun Yue, Leyuan Fang, Pedram Ghamisi, Weiying Xie, Jun Li, Jocelyn Chanussot, Antonio J. Plaza:
Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives. CoRR abs/2204.09120 (2022) - 2021
- [j70]Ran Cao, Leyuan Fang, Ting Lu, Nanjun He:
Self-Attention-Based Deep Feature Fusion for Remote Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. 18(1): 43-47 (2021) - [j69]Jie Xie, Nanjun He, Leyuan Fang, Pedram Ghamisi:
Multiscale Densely-Connected Fusion Networks for Hyperspectral Images Classification. IEEE Trans. Circuits Syst. Video Technol. 31(1): 246-259 (2021) - [j68]Jianjun Lei, Xinyu Li, Bo Peng, Leyuan Fang, Nam Ling, Qingming Huang:
Deep Spatial-Spectral Subspace Clustering for Hyperspectral Image. IEEE Trans. Circuits Syst. Video Technol. 31(7): 2686-2697 (2021) - [j67]Anjing Guo, Leyuan Fang, Min Qi, Shutao Li:
Unsupervised Denoising of Optical Coherence Tomography Images With Nonlocal-Generative Adversarial Network. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j66]Xingxin He, Ying Deng, Leyuan Fang, Qinghua Peng:
Multi-Modal Retinal Image Classification With Modality-Specific Attention Network. IEEE Trans. Medical Imaging 40(6): 1591-1602 (2021) - [j65]Yongqiang Huang, Wenjun Xia, Zexin Lu, Yan Liu, Hu Chen, Jiliu Zhou, Leyuan Fang, Yi Zhang:
Noise-Powered Disentangled Representation for Unsupervised Speckle Reduction of Optical Coherence Tomography Images. IEEE Trans. Medical Imaging 40(10): 2600-2614 (2021) - [j64]He Zhao, Yuexiang Li, Nanjun He, Kai Ma, Leyuan Fang, Huiqi Li, Yefeng Zheng:
Anomaly Detection for Medical Images Using Self-Supervised and Translation-Consistent Features. IEEE Trans. Medical Imaging 40(12): 3641-3651 (2021) - [c23]Ming Lu, Leyuan Fang, Yi Zhang:
Point-Based Weakly Supervised Deep Learning for Water Extraction from High-Resolution Remote Sensing Imagery. CIKM Workshops 2021 - [c22]Guangmiao Guo, Leyuan Fang, Jun Yue:
Oriented Spatial Correlative Aligned Feature for Remote Sensing Object Detection. IGARSS 2021: 5319-5322 - [i5]Runmin Cong, Yumo Zhang, Leyuan Fang, Jun Li, Chunjie Zhang, Yao Zhao, Sam Kwong:
RRNet: Relational Reasoning Network with Parallel Multi-scale Attention for Salient Object Detection in Optical Remote Sensing Images. CoRR abs/2110.14223 (2021) - [i4]Jiahui Ni, Zhimin Shao, Zhongzhou Zhang, Mingzheng Hou, Jiliu Zhou, Leyuan Fang, Yi Zhang:
LDP-Net: An Unsupervised Pansharpening Network Based on Learnable Degradation Processes. CoRR abs/2111.12483 (2021) - 2020
- [j63]Nanjun He, Leyuan Fang, Antonio Plaza:
Hybrid first and second order attention Unet for building segmentation in remote sensing images. Sci. China Inf. Sci. 63(4) (2020) - [j62]Xingxin He, Leyuan Fang, Hossein Rabbani, Xiangdong Chen, Zhimin Liu:
Retinal optical coherence tomography image classification with label smoothing generative adversarial network. Neurocomputing 405: 37-47 (2020) - [j61]Zhimin Shao, Zexin Lu, Maosong Ran, Leyuan Fang, Jiliu Zhou, Yi Zhang:
Residual Encoder-Decoder Conditional Generative Adversarial Network for Pansharpening. IEEE Geosci. Remote. Sens. Lett. 17(9): 1573-1577 (2020) - [j60]Leyuan Fang, Wenke Zhao, Nanjun He, Jian Zhu:
Multiscale CNNs Ensemble Based Self-Learning for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 17(9): 1593-1597 (2020) - [j59]Yun Lin, Shutao Li, Leyuan Fang, Pedram Ghamisi:
Multispectral Change Detection With Bilinear Convolutional Neural Networks. IEEE Geosci. Remote. Sens. Lett. 17(10): 1757-1761 (2020) - [j58]Renwei Dian, Shutao Li, Leyuan Fang, Ting Lu, José M. Bioucas-Dias:
Nonlocal Sparse Tensor Factorization for Semiblind Hyperspectral and Multispectral Image Fusion. IEEE Trans. Cybern. 50(10): 4469-4480 (2020) - [j57]Jianjun Lei, Xiaowei Luo, Leyuan Fang, Mengyuan Wang, Yanfeng Gu:
Region-Enhanced Convolutional Neural Network for Object Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 58(8): 5693-5702 (2020) - [j56]Zhihong Huang, Leyuan Fang, Shutao Li:
Subpixel-Pixel-Superpixel Guided Fusion for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 58(9): 5998-6007 (2020) - [j55]Nanjun He, Leyuan Fang, Shutao Li, Javier Plaza, Antonio Plaza:
Skip-Connected Covariance Network for Remote Sensing Scene Classification. IEEE Trans. Neural Networks Learn. Syst. 31(5): 1461-1474 (2020) - [c21]Qiaobo Hao, Shutao Li, Leyuan Fang, Xudong Kang:
Multiscale Feature Extraction with Gaussian Curvature Filter for Hyperspectral Image Classification. IGARSS 2020: 80-83 - [c20]Yongqiang Huang, Wenjun Xia, Zexin Lu, Yan Liu, Jiliu Zhou, Leyuan Fang, Yi Zhang:
Disentanglement Network for Unsupervised Speckle Reduction of Optical Coherence Tomography Images. MICCAI (5) 2020: 675-684 - [i3]Ashkan Abbasi, Amirhassan Monadjemi, Leyuan Fang, Hossein Rabbani, Neda Noormohammadi:
Multiscale Sparsifying Transform Learning for Image Denoising. CoRR abs/2003.11265 (2020)
2010 – 2019
- 2019
- [j54]Ashkan Abbasi, Amirhassan Monadjemi, Leyuan Fang, Hossein Rabbani, Yi Zhang:
Three-dimensional optical coherence tomography image denoising through multi-input fully-convolutional networks. Comput. Biol. Medicine 108: 1-8 (2019) - [j53]Guangzhe Zhao, Guangyun Liu, Leyuan Fang, Bing Tu, Pedram Ghamisi:
Multiple convolutional layers fusion framework for hyperspectral image classification. Neurocomputing 339: 149-160 (2019) - [j52]Renwei Dian, Shutao Li, Leyuan Fang, Qi Wei:
Multispectral and hyperspectral image fusion with spatial-spectral sparse representation. Inf. Fusion 49: 262-270 (2019) - [j51]Marzieh Mokhtari, Hossein Rabbani, Alireza Mehri Dehnavi, Raheleh Kafieh, Mohammadreza Akhlaghi, Mohsen Pourazizi, Leyuan Fang:
Local comparison of cup to disc ratio in right and left eyes based on fusion of color fundus images and OCT B-scans. Inf. Fusion 51: 30-41 (2019) - [j50]Leyuan Fang, Yuxuan Jin, Laifeng Huang, Siyu Guo, Guangzhe Zhao, Xiangdong Chen:
Iterative fusion convolutional neural networks for classification of optical coherence tomography images. J. Vis. Commun. Image Represent. 59: 327-333 (2019) - [j49]Leyuan Fang, Zhiliang Liu, Weiwei Song:
Deep Hashing Neural Networks for Hyperspectral Image Feature Extraction. IEEE Geosci. Remote. Sens. Lett. 16(9): 1412-1416 (2019) - [j48]Bing Tu, Nanying Li, Leyuan Fang, Xianchang Yang, Jianhui Wu:
Hyperspectral image classification with a class-dependent spatial-spectral mixed metric. Pattern Recognit. Lett. 123: 16-22 (2019) - [j47]Bing Tu, Nanying Li, Leyuan Fang, Danbing He, Pedram Ghamisi:
Hyperspectral Image Classification with Multi-Scale Feature Extraction. Remote. Sens. 11(5): 534 (2019) - [j46]Laifeng Huang, Xingxin He, Leyuan Fang, Hossein Rabbani, Xiangdong Chen:
Automatic Classification of Retinal Optical Coherence Tomography Images With Layer Guided Convolutional Neural Network. IEEE Signal Process. Lett. 26(7): 1026-1030 (2019) - [j45]Ting Xie, Shutao Li, Leyuan Fang, Licheng Liu:
Tensor Completion via Nonlocal Low-Rank Regularization. IEEE Trans. Cybern. 49(6): 2344-2354 (2019) - [j44]Nanjun He, Mercedes Eugenia Paoletti, Juan Mario Haut, Leyuan Fang, Shutao Li, Antonio Plaza, Javier Plaza:
Feature Extraction With Multiscale Covariance Maps for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(2): 755-769 (2019) - [j43]Leyuan Fang, Guangyun Liu, Shutao Li, Pedram Ghamisi, Jón Atli Benediktsson:
Hyperspectral Image Classification With Squeeze Multibias Network. IEEE Trans. Geosci. Remote. Sens. 57(3): 1291-1301 (2019) - [j42]Shutao Li, Weiwei Song, Leyuan Fang, Yushi Chen, Pedram Ghamisi, Jón Atli Benediktsson:
Deep Learning for Hyperspectral Image Classification: An Overview. IEEE Trans. Geosci. Remote. Sens. 57(9): 6690-6709 (2019) - [j41]Jie Xie, Nanjun He, Leyuan Fang, Antonio Plaza:
Scale-Free Convolutional Neural Network for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 57(9): 6916-6928 (2019) - [j40]Yue Wu, Leyuan Fang, Shutao Li:
Weighted Tensor Rank-1 Decomposition for Nonlocal Image Denoising. IEEE Trans. Image Process. 28(6): 2719-2730 (2019) - [j39]Leyuan Fang, Chong Wang, Shutao Li, Hossein Rabbani, Xiangdong Chen, Zhimin Liu:
Attention to Lesion: Lesion-Aware Convolutional Neural Network for Retinal Optical Coherence Tomography Image Classification. IEEE Trans. Medical Imaging 38(8): 1959-1970 (2019) - [j38]Renwei Dian, Shutao Li, Leyuan Fang:
Learning a Low Tensor-Train Rank Representation for Hyperspectral Image Super-Resolution. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2672-2683 (2019) - [c19]Nanjun He, Leyuan Fang, Yi Li, Antonio Plaza:
High-Order Self-Attention Network for Remote Sensing Scene Classification. IGARSS 2019: 3013-3016 - [i2]Shutao Li, Weiwei Song, Leyuan Fang, Yushi Chen, Pedram Ghamisi, Jón Atli Benediktsson:
Deep Learning for Hyperspectral Image Classification: An Overview. CoRR abs/1910.12861 (2019) - 2018
- [j37]Zhihong Huang, Shutao Li, Leyuan Fang, Huali Li, Jón Atli Benediktsson:
Hyperspectral Image Denoising With Group Sparse and Low-Rank Tensor Decomposition. IEEE Access 6: 1380-1390 (2018) - [j36]Leyuan Fang, Haijie Zhuo, Shutao Li:
Super-resolution of hyperspectral image via superpixel-based sparse representation. Neurocomputing 273: 171-177 (2018) - [j35]Bing Tu, Nanying Li, Leyuan Fang, Hongyan Fei, Danbing He:
Classification of hyperspectral images via weighted spatial correlation representation. J. Vis. Commun. Image Represent. 56: 160-166 (2018) - [j34]Jian Zhu, Leyuan Fang, Pedram Ghamisi:
Deformable Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 15(8): 1254-1258 (2018) - [j33]Bing Tu, Siyuan Huang, Leyuan Fang, Guoyun Zhang, Jinping Wang, Binxin Zheng:
Hyperspectral Image Classification via Weighted Joint Nearest Neighbor and Sparse Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(11): 4063-4075 (2018) - [j32]Wei Fu, Shutao Li, Leyuan Fang, Jón Atli Benediktsson:
Contextual Online Dictionary Learning for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(3): 1336-1347 (2018) - [j31]Leyuan Fang, Nanjun He, Shutao Li, Pedram Ghamisi, Jón Atli Benediktsson:
Extinction Profiles Fusion for Hyperspectral Images Classification. IEEE Trans. Geosci. Remote. Sens. 56(3): 1803-1815 (2018) - [j30]Weiwei Song, Shutao Li, Leyuan Fang, Ting Lu:
Hyperspectral Image Classification With Deep Feature Fusion Network. IEEE Trans. Geosci. Remote. Sens. 56(6): 3173-3184 (2018) - [j29]Leyuan Fang, Nanjun He, Shutao Li, Antonio J. Plaza, Javier Plaza:
A New Spatial-Spectral Feature Extraction Method for Hyperspectral Images Using Local Covariance Matrix Representation. IEEE Trans. Geosci. Remote. Sens. 56(6): 3534-3546 (2018) - [j28]Nanjun He, Leyuan Fang, Shutao Li, Antonio Plaza, Javier Plaza:
Remote Sensing Scene Classification Using Multilayer Stacked Covariance Pooling. IEEE Trans. Geosci. Remote. Sens. 56(12): 6899-6910 (2018) - [j27]Shutao Li, Renwei Dian, Leyuan Fang, José M. Bioucas-Dias:
Fusing Hyperspectral and Multispectral Images via Coupled Sparse Tensor Factorization. IEEE Trans. Image Process. 27(8): 4118-4130 (2018) - [j26]Renwei Dian, Shutao Li, Anjing Guo, Leyuan Fang:
Deep Hyperspectral Image Sharpening. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5345-5355 (2018) - [c18]Zhihong Huang, Shutao Li, Leyuan Fang:
Fusing Information from Subpixel to Superpixel for Hyperspectral Anomaly Detection. IGARSS 2018: 1260-1263 - [c17]Ting Xie, Shutao Li, Leyuan Fang, Licheng Liu:
A Novel Nonconvex Sparsity Measure for Hyperspectral Images Restoration. IGARSS 2018: 2729-2732 - [c16]Nanjun He, Leyuan Fang, Shutao Li, Antonio J. Plaza:
Covariance Matrix Based Feature Fusion for Scene Classification. IGARSS 2018: 3587-3590 - [c15]Weiwei Song, Leyuan Fang, Shutao Li:
Similarity-Preserving Deep Features for Hyperspectral Image Classification. IGARSS 2018: 3595-3598 - [c14]Renwei Dian, Shutao Li, Leyuan Fang, José M. Bioucas-Dias:
Hyperspectral Image Super-Resolution via Local Low-Rank and Sparse Representations. IGARSS 2018: 4003-4006 - [i1]Ashkan Abbasi, Amirhassan Monadjemi, Leyuan Fang, Hossein Rabbani, Yi Zhang:
Three-dimensional Optical Coherence Tomography Image Denoising via Multi-input Fully-Convolutional Networks. CoRR abs/1811.09022 (2018) - 2017
- [j25]Shutao Li, Xudong Kang, Leyuan Fang, Jianwen Hu, Haitao Yin:
Pixel-level image fusion: A survey of the state of the art. Inf. Fusion 33: 100-112 (2017) - [j24]Shuzhen Zhang, Shutao Li, Wei Fu, Leyuan Fang:
Multiscale Superpixel-Based Sparse Representation for Hyperspectral Image Classification. Remote. Sens. 9(2): 139 (2017) - [j23]Wei Fu, Shutao Li, Leyuan Fang, Jón Atli Benediktsson:
Adaptive Spectral-Spatial Compression of Hyperspectral Image With Sparse Representation. IEEE Trans. Geosci. Remote. Sens. 55(2): 671-682 (2017) - [j22]Ting Lu, Shutao Li, Leyuan Fang, Xiuping Jia, Jón Atli Benediktsson:
From Subpixel to Superpixel: A Novel Fusion Framework for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(8): 4398-4411 (2017) - [j21]Leyuan Fang, Cheng Wang, Shutao Li, Jón Atli Benediktsson:
Hyperspectral Image Classification via Multiple-Feature-Based Adaptive Sparse Representation. IEEE Trans. Instrum. Meas. 66(7): 1646-1657 (2017) - [j20]Leyuan Fang, Shutao Li, David Cunefare, Sina Farsiu:
Segmentation Based Sparse Reconstruction of Optical Coherence Tomography Images. IEEE Trans. Medical Imaging 36(2): 407-421 (2017) - [c13]Renwei Dian, Leyuan Fang, Shutao Li:
Hyperspectral Image Super-Resolution via Non-local Sparse Tensor Factorization. CVPR 2017: 3862-3871 - [c12]Nanjun He, Leyuan Fang, Shutao Li, Pedram Ghamisi, Jón Atli Benediktsson:
Hyperspectral images classification by fusing extinction profiles feature. IGARSS 2017: 2267-2270 - [c11]Wei Fu, Shutao Li, Leyuan Fang, Jón Atli Benediktsson:
Spectral-spatial online dictionary learning for hyperspectral image classification. IGARSS 2017: 3724-3727 - 2016
- [j19]Wei Fu, Shutao Li, Leyuan Fang, Xudong Kang, Jón Atli Benediktsson:
Hyperspectral Image Classification Via Shape-Adaptive Joint Sparse Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(2): 556-567 (2016) - [j18]Ting Lu, Shutao Li, Leyuan Fang, Yi Ma, Jón Atli Benediktsson:
Spectral-Spatial Adaptive Sparse Representation for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 54(1): 373-385 (2016) - [j17]Ting Lu, Shutao Li, Leyuan Fang, Lorenzo Bruzzone, Jón Atli Benediktsson:
Set-to-Set Distance-Based Spectral-Spatial Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 54(12): 7122-7134 (2016) - [j16]Shutao Li, Ting Lu, Leyuan Fang, Xiuping Jia, Jón Atli Benediktsson:
Probabilistic Fusion of Pixel-Level and Superpixel-Level Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 54(12): 7416-7430 (2016) - [c10]Renwei Dian, Shutao Li, Leyuan Fang:
Non-local sparse representation for hyperspectral image super-resolution. ICIP 2016: 2832-2835 - [c9]Ting Lu, Shutao Li, Leyuan Fang:
Decision fusion of pixel-level and superpixel-level hyperspectral image classifiers. IGARSS 2016: 1524-1527 - 2015
- [j15]Xudong Kang, Shutao Li, Leyuan Fang, Meixiu Li, Jón Atli Benediktsson:
Extended Random Walker-Based Classification of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 53(1): 144-153 (2015) - [j14]Xudong Kang, Shutao Li, Leyuan Fang, Jón Atli Benediktsson:
Intrinsic Image Decomposition for Feature Extraction of Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 53(4): 2241-2253 (2015) - [j13]Leyuan Fang, Shutao Li, Xudong Kang, Jón Atli Benediktsson:
Spectral-Spatial Classification of Hyperspectral Images With a Superpixel-Based Discriminative Sparse Model. IEEE Trans. Geosci. Remote. Sens. 53(8): 4186-4201 (2015) - [j12]Leyuan Fang, Shutao Li, Wuhui Duan, Jinchang Ren, Jón Atli Benediktsson:
Classification of Hyperspectral Images by Exploiting Spectral-Spatial Information of Superpixel via Multiple Kernels. IEEE Trans. Geosci. Remote. Sens. 53(12): 6663-6674 (2015) - [j11]Leyuan Fang, Shutao Li:
Face Recognition by Exploiting Local Gabor Features With Multitask Adaptive Sparse Representation. IEEE Trans. Instrum. Meas. 64(10): 2605-2615 (2015) - [j10]Haicang Liu, Shutao Li, Leyuan Fang:
Robust Object Tracking Based on Principal Component Analysis and Local Sparse Representation. IEEE Trans. Instrum. Meas. 64(11): 2863-2875 (2015) - [j9]Leyuan Fang, Shutao Li, Xudong Kang, Joseph A. Izatt, Sina Farsiu:
3-D Adaptive Sparsity Based Image Compression With Applications to Optical Coherence Tomography. IEEE Trans. Medical Imaging 34(6): 1306-1320 (2015) - [c8]Xudong Kang, Shutao Li, Leyuan Fang, Jón Atli Benediktsson:
High resolution visible image completion of urban region using corresponding hyperspectral image. IGARSS 2015: 1155-1158 - [c7]Wuhui Duan, Shutao Li, Leyuan Fang:
Superpixel-based composite kernel for hyperspectral image classification. IGARSS 2015: 1698-1701 - [c6]Wei Fu, Shutao Li, Leyuan Fang:
Spectral-spatial hyperspectral image classification via superpixel merging and sparse representation. IGARSS 2015: 4971-4974 - 2014
- [j8]Leyuan Fang, Shutao Li, Xudong Kang, Jón Atli Benediktsson:
Spectral-Spatial Hyperspectral Image Classification via Multiscale Adaptive Sparse Representation. IEEE Trans. Geosci. Remote. Sens. 52(12): 7738-7749 (2014) - [c5]Dan Liu, Shutao Li, Leyuan Fang:
Hyperspectral Image Classification by Exploiting the Spectral-Spatial Correlations in the Sparse Coefficients. CCPR (1) 2014: 151-158 - [c4]Wuhui Duan, Shutao Li, Leyuan Fang:
Spectral-Spatial Hyperspectral Image Classification Using Superpixel and Extreme Learning Machines. CCPR (1) 2014: 159-167 - [c3]Wei Fu, Shutao Li, Leyuan Fang, Xudong Kang, Jón Atli Benediktsson:
Spectral-spatial hyperspectral classification via shape-adaptive sparse representation. IGARSS 2014: 3430-3433 - 2013
- [j7]Haitao Yin, Shutao Li, Leyuan Fang:
Simultaneous image fusion and super-resolution using sparse representation. Inf. Fusion 14(3): 229-240 (2013) - [j6]Shutao Li, Haitao Yin, Leyuan Fang:
Remote Sensing Image Fusion via Sparse Representations Over Learned Dictionaries. IEEE Trans. Geosci. Remote. Sens. 51(9): 4779-4789 (2013) - [j5]Leyuan Fang, Shutao Li, Ryan P. McNabb, Qing Nie, Anthony N. Kuo, Cynthia A. Toth, Joseph A. Izatt, Sina Farsiu:
Fast Acquisition and Reconstruction of Optical Coherence Tomography Images via Sparse Representation. IEEE Trans. Medical Imaging 32(11): 2034-2049 (2013) - 2012
- [j4]Shutao Li, Leyuan Fang, Haitao Yin:
Multitemporal Image Change Detection Using a Detail-Enhancing Approach With Nonsubsampled Contourlet Transform. IEEE Geosci. Remote. Sens. Lett. 9(5): 836-840 (2012) - [j3]Shutao Li, Leyuan Fang, Haitao Yin:
An Efficient Dictionary Learning Algorithm and Its Application to 3-D Medical Image Denoising. IEEE Trans. Biomed. Eng. 59(2): 417-427 (2012) - [j2]Shutao Li, Haitao Yin, Leyuan Fang:
Group-Sparse Representation With Dictionary Learning for Medical Image Denoising and Fusion. IEEE Trans. Biomed. Eng. 59(12): 3450-3459 (2012) - [j1]Shutao Li, Leyuan Fang:
Signal Denoising With Random Refined Orthogonal Matching Pursuit. IEEE Trans. Instrum. Meas. 61(1): 26-34 (2012) - 2011
- [c2]Leyuan Fang, Shutao Li, Jianwen Hu:
Multitemporal image change detection with compressed sparse representation. ICIP 2011: 2673-2676 - 2010
- [c1]Shutao Li, Leyuan Fang:
An efficient learned dictionary and its application to non-local denoising. ICIP 2010: 1945-1948
Coauthor Index
[i15] [j77] [j67] [j59] [j58] [j56] [j55] [c21] [j52] [j45] [j44] [j43] [j42] [j40] [j39] [j38] [i2] [j37] [j36] [j32] [j31] [j30] [j29] [j28] [j27] [j26] [c18] [c17] [c16] [c15] [c14] [j25] [j24] [j23] [j22] [j21] [j20] [c13] [c12] [c11] [j19] [j18] [j17] [j16] [c10] [c9] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [c8] [c7] [c6] [j8] [c5] [c4] [c3] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c2] [c1]
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 2024-12-23 19:35 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
