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2020 – today
- 2024
[j81]Peng Wang
, Fanwei Zeng, Yuntao Qian:
A survey on deep learning-based spatio-temporal action detection. Int. J. Wavelets Multiresolution Inf. Process. 22(4): 2350066:1-2350066:35 (2024)- [j80]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) - [j79]Yang Chu, Minchao Ye, Yuntao Qian:
Fine-Grained Image Recognition Methods and Their Applications in Remote Sensing Images: A Review. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 19640-19667 (2024) - [j78]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) - [j77]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) - [j76]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) - [j75]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) - [j74]Minchao Ye, Junbin Chen, Fengchao Xiong, Yuntao Qian:
Adaptive Graph Modeling With Self-Training for Heterogeneous Cross-Scene Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j73]Minchao Ye, Jiawei Ling, Wanli Huo, Zhaojuan Zhang, Fengchao Xiong, Yuntao Qian:
Discriminative Vision Transformer for Heterogeneous Cross-Domain Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j72]Minchao Ye, Zhihao Meng, Yuntao Qian:
Building Cross-Domain Mapping Chains From Multi-CycleGAN for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j71]Jin Ye, Fengchao Xiong, Jun Zhou, Yuntao Qian:
Iterative Low-Rank Network for Hyperspectral Image Denoising. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [c106]Keli Deng, Peng Wang, Yuntao Qian:
RGB Images Enhancing Hyperspectral Image Denoising with Diffusion Model. ICASSP 2024: 2960-2964 - [c105]Yijun Zhang, Fengchao Xiong, Jianfeng Lu, Minchao Ye, Jun Zhou, Yuntao Qian:
Semantic-Aware Alignment Network for Cross-Resolution Change Detection. IGARSS 2024: 8594-8598 - [c104]Yang Chu, Yuntao Qian:
Incremental Classification of Remote Sensing Images with Feature Pyramid and Class Hierarchy. IGARSS 2024: 8797-8800 - [i17]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) - [i16]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) - 2023
- [j70]Minchao Ye, Chenglong Wang, Zhihao Meng, Fengchao Xiong, Yuntao Qian:
Domain-invariant attention network for transfer learning between cross-scene hyperspectral images. IET Comput. Vis. 17(7): 739-749 (2023) - [j69]Ling Lei, Binqian Huang, Minchao Ye, Futian Yao, Yuntao Qian:
Cross-domain residual deep NMF for transfer learning between different hyperspectral image scenes. Int. J. Wavelets Multiresolution Inf. Process. 21(2): 2250046:1-2250046:16 (2023) - [j68]Zhijian Luo, Siyu Chen, Yueen Hou, Yanzeng Gao, Yuntao Qian:
An aggressive reduction on the complexity of optimization for non-strongly convex objectives. Int. J. Wavelets Multiresolution Inf. Process. 21(5): 2350017:1-2350017:16 (2023) - [j67]Peng Wang, Jingzhou Chen, Yuntao Qian:
Semantic guided level-category hybrid prediction network for hierarchical image classification. Int. J. Wavelets Multiresolution Inf. Process. 21(6) (2023) - [j66]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) - [j65]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) - [j64]Min Ye, Bohan Li, Jie Nie, Yuntao Qian, Lie-Liang Yang:
Ca-STANet: Spatiotemporal Attention Network for Chlorophyll-a Prediction With Gap-Filled Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j63]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) - [c103]Fengchao Xiong, Jun Zhou, Zhuang Zhao, Yuntao Qian:
Iterative Refinement Network for Hyperspectral Image Denoising. ICME 2023: 2753-2758 - [c102]Zhongshun Jiang, Qipeng Qian, Yi Qiu, Yuntao Qian:
Hierarchical Superpixel Relation Graph Combined with Convolutional Sparse Coding for Self-Supervised Hyperspectral Image Denoising. IGARSS 2023: 5379-5382 - [c101]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 - [c100]Yushan Li, Minchao Ye, Yuntao Qian, Qipeng Qian:
Cross-Domain Hyperspectral Image Classification Based on Graph Convolutional Networks. IGARSS 2023: 5974-5977 - [c99]Yang Chu, Peng Wang, Yuntao Qian:
Incremental Learning of Remote Sensing Target Classification with Class Hierarchy. IGARSS 2023: 6254-6257 - [c98]Keli Deng, Zhongshun Jiang, Qipeng Qian, Yi Qiu, Yuntao Qian:
A Noise-Model-Free Hyperspectral Image Denoising Method Based on Diffusion Model. IGARSS 2023: 7308-7311 - [c97]Jiawei Ling, Minchao Ye, Yuntao Qian, Qipeng Qian:
Cross-Domain Hyperspectral Image Classification Based on Transformer. IGARSS 2023: 7629-7632 - [c96]Yuheng Jin, Minchao Ye, Fengchao Xiong, Yuntao Qian:
Cross-Domain Heterogeneous Hyperspectral Image Classification Based on Meta-Learning with Task-Adaptive Loss Function. WHISPERS 2023: 1-5 - [i15]Peng Wang, Fanwei Zeng, Yuntao Qian:
A Survey on Deep Learning-based Spatio-temporal Action Detection. CoRR abs/2308.01618 (2023) - 2022
- [j62]Ling Chen, Jun Cui, Xing Tang, Yuntao Qian, Yansheng Li, Yongjun Zhang:
RLPath: a knowledge graph link prediction method using reinforcement learning based attentive relation path searching and representation learning. Appl. Intell. 52(4): 4715-4726 (2022) - [j61]Qian Xu, Jinshan Pan, Yuntao Qian:
Learning an Occlusion-Aware Network for Video Deblurring. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4312-4323 (2022) - [j60]Qian Xu, Yuntao Qian:
Bidirectional Transformer for Video Deblurring. IEEE Trans. Circuits Syst. Video Technol. 32(12): 8450-8461 (2022) - [j59]Jingzhou Chen, Yuntao Qian:
Hierarchical Multilabel Ship Classification in Remote Sensing Images Using Label Relation Graphs. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j58]Jingzhou Chen, Shihao Wang, Ling Chen, Haibin Cai, Yuntao Qian:
Incremental Detection of Remote Sensing Objects With Feature Pyramid and Knowledge Distillation. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j57]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) - [j56]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) - [j55]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) - [j54]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) - [j53]Minchao Ye, Junbin Chen, Fengchao Xiong, Yuntao Qian:
Learning a Deep Structural Subspace Across Hyperspectral Scenes With Cross-Domain VAE. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j52]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) - [j51]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) - [j50]Peng Wang, Jun Wen, Chenyang Si, Yuntao Qian, Liang Wang:
Contrast-Reconstruction Representation Learning for Self-Supervised Skeleton-Based Action Recognition. IEEE Trans. Image Process. 31: 6224-6238 (2022) - [j49]Ling Chen, Xing Tang, Weiqi Chen, Yuntao Qian, Yansheng Li, Yongjun Zhang:
DACHA: A Dual Graph Convolution Based Temporal Knowledge Graph Representation Learning Method Using Historical Relation. ACM Trans. Knowl. Discov. Data 16(3): 46:1-46:18 (2022) - [c95]Jingzhou Chen, Peng Wang, Jian Liu, Yuntao Qian:
Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification. CVPR 2022: 4848-4857 - [c94]Fengchao Xiong, Minchao Ye, Jun Zhou, Jianfeng Lu, Yuntao Qian:
Multitask Sparse Neural Network for Hyperspectral Image Denoising. ICASSP 2022: 2799-2803 - [c93]Zhuanfeng Li, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian:
Material-Guided Siamese Fusion Network for Hyperspectral Object Tracking. ICASSP 2022: 2809-2813 - [c92]Fengchao Xiong, Minchao Ye, Jun Zhou, Yuntao Qian:
Spatial-Spectral Convolutional Sparse Neural Network for Hyperspectral Image Denoising. IGARSS 2022: 1225-1228 - [c91]Chenglong Wang, Minchao Ye, Ling Lei, Fengchao Xiong, Yuntao Qian:
Cross-Domain Attention Network for Hyperspectral Image Classification. IGARSS 2022: 1564-1567 - [c90]Honglin Zhu, Minchao Ye, Yi Qiu, Yuntao Qian:
Self-Supervised Learning Hyperspectral Image Denoiser with Separated Spectral-Spatial Feature Extraction. IGARSS 2022: 1748-1751 - [c89]Zhongshun Jiang, Honglin Zhu, Yi Qiu, Yuntao Qian:
A Self-Supervised Hyperspectral Image Restoration Method Based on Convolutional Sparse Coding and Superpixel Segmentation. IGARSS 2022: 1760-1763 - [c88]Zhihao Meng, Minchao Ye, Futian Yao, Fengchao Xiong, Yuntao Qian:
Cross-Scene Hyperspectral Image Classification Based on Cycle-Consistent Adversarial Networks. IGARSS 2022: 1912-1915 - [c87]Yang Chu, Minchao Ye, Yuntao Qian:
Incorporating Attention Mechanism And Graph Regularization Into Cnns For Hyperspectral Image Classification. WHISPERS 2022: 1-5 - [i14]Jingzhou Chen, Peng Wang, Jian Liu, Yuntao Qian:
Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification. CoRR abs/2201.03194 (2022) - [i13]Peng Wang, Jingzhou Chen, Yuntao Qian:
Semantic Guided Level-Category Hybrid Prediction Network for Hierarchical Image Classification. CoRR abs/2211.12277 (2022) - 2021
- [j48]Zhijian Luo, Siyu Chen, Yuntao Qian, Yueen Hou:
Multi-stage stochastic gradient method with momentum acceleration. Signal Process. 188: 108201 (2021) - [j47]Jianxi Wang, Minchao Ye, Fengchao Xiong, Yuntao Qian:
Cross-Scene Hyperspectral Feature Selection via Hybrid Whale Optimization Algorithm With Simulated Annealing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 2473-2483 (2021) - [j46]Chengjie Zhang, Minchao Ye, Ling Lei, Yuntao Qian:
Feature Selection for Cross-Scene Hyperspectral Image Classification Using Cross-Domain I-ReliefF. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 5932-5949 (2021) - [c86]Shide Zou, Fengchao Xiong, Haonan Luo, Jianfeng Lu, Yuntao Qian:
AF-Net: All-scale Feature Fusion Network for Road Extraction from Remote Sensing Images. DICTA 2021: 1-8 - [c85]Fengchao Xiong, Jun Zhou, Minchao Ye, Jianfeng Lu, Yuntao Qian:
NMF-SAE: An Interpretable Sparse Autoencoder for Hyperspectral Unmixing. ICASSP 2021: 1865-1869 - [c84]Xiaotian Fan, Jingzhou Chen, Yuntao Qian:
Graph Regularized Autoencoder Based Feature Extraction for Hyperspectral Image Classification. IGARSS 2021: 2166-2169 - [c83]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 - [c82]Jingzhou Chen, Yuntao Qian:
Hierarchical Multi-Label Ship Recognition in Remote Sensing Images Using Label Relation Graphs. IGARSS 2021: 4968-4971 - [c81]Ling Lei, Binqian Huang, Minchao Ye, Hong Chen, Yuntao Qian:
A Graph-Regularized Non-local Hyperspectral Image Denoising Method. ISGV 2021: 327-340 - [c80]Jiongye Zhu, Xiaohan Wang, Ling Lei, Minchao Ye, Yuntao Qian:
Random Convolutional Network for Hyperspectral Image Classification. ISGV 2021: 341-353 - [c79]Zhuanfeng Li, Xinhai Ye, Fengchao Xiong, Jianfeng Lu, Jun Zhou, Yuntao Qian:
Spectral-Spatial-Temporal Attention Network for Hyperspectral Tracking. WHISPERS 2021: 1-5 - [i12]Ling Chen, Jiahui Xu, Binqing Wu, Yuntao Qian, Zhenhong Du, Yansheng Li, Yongjun Zhang:
Group-Aware Graph Neural Network for Nationwide City Air Quality Forecasting. CoRR abs/2108.12238 (2021) - [i11]Ling Chen, Jun Cui, Xing Tang, Chaodu Song, Yuntao Qian, Yansheng Li, Yongjun Zhang:
RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining. CoRR abs/2111.00658 (2021) - [i10]Peng Wang, Jun Wen, Chenyang Si, Yuntao Qian, Liang Wang:
Contrast-reconstruction Representation Learning for Self-supervised Skeleton-based Action Recognition. CoRR abs/2111.11051 (2021) - 2020
- [j45]Minchao Ye, Chenxi Ji, Hong Chen, Ling Lei, Huijuan Lu, Yuntao Qian:
Residual deep PCA-based feature extraction for hyperspectral image classification. Neural Comput. Appl. 32(18): 14287-14300 (2020) - [j44]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) - [j43]Hong Chen, Minchao Ye, Ling Lei, Huijuan Lu, Yuntao Qian:
Semisupervised Dual-Dictionary Learning for Heterogeneous Transfer Learning on Cross-Scene Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 3164-3178 (2020) - [j42]Wenhong Wang, Yuntao Qian, Hongfu Liu:
Multiple Clustering Guided Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 5162-5179 (2020) - [j41]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) - [j40]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) - [j39]Fengchao Xiong, Jun Zhou, Yuntao Qian:
Material Based Object Tracking in Hyperspectral Videos. IEEE Trans. Image Process. 29: 3719-3733 (2020) - [c78]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 - [c77]Qian Zhong, Ling Chen, Yuntao Qian:
Few-Shot Learning for Remote Sensing Image Retrieval With MAML. ICIP 2020: 2446-2450 - [c76]Hong Chen, Kewei Gong, Ling Lei, Minchao Ye, Yuntao Qian:
Multi-layer Cross-domain Non-negative Matrix Factorization for Cross-scene Dimension Reduction on Hyperspectral Images. ICPRAI 2020: 547-554 - [c75]Yingyu Diao, Jingzhou Chen, Yuntao Qian:
Multi-Label Remote Sensing Image Classification with Deformable Convolutions and Graph Neural Networks. IGARSS 2020: 521-524 - [c74]Fengchao Xiong, Kun Qian, Jianfeng Lu, Jun Zhou, Yuntao Qian:
Nonlocal Low-Rank Nonnegative Tensor Factorization for Hyperspectral Unmixing. IGARSS 2020: 2157-2160 - [i9]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
- [j38]Jingzhou Chen, Siyu Chen, Peilin Zhou, Yuntao Qian:
Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation. IEEE Access 7: 81407-81418 (2019) - [j37]Zhijian Luo, Siyu Chen, Yuntao Qian:
Stochastic Momentum Method With Double Acceleration for Regularized Empirical Risk Minimization. IEEE Access 7: 166551-166563 (2019) - [j36]Minchao Ye, Yongqiu Xu, Chenxi Ji, Hong Chen, Huijuan Lu, Yuntao Qian:
Feature selection for cross-scene hyperspectral image classification using cross-domain ReliefF. Int. J. Wavelets Multiresolution Inf. Process. 17(5): 1950039:1-1950039:17 (2019) - [j35]Zhijian Luo, Yuntao Qian:
Stochastic sub-sampled Newton method with variance reduction. Int. J. Wavelets Multiresolution Inf. Process. 17(6): 1950041:1-1950041:23 (2019) - [j34]Zhijian Luo, Siyu Chen, Yuntao Qian:
Learning deep optimizer for blind image deconvolution. Int. J. Wavelets Multiresolution Inf. Process. 17(6): 1950044:1-1950044:24 (2019) - [j33]Danping Liao, Yuntao Qian:
Paper evolution graph: multi-view structural retrieval for academic literature. Frontiers Inf. Technol. Electron. Eng. 20(2): 187-205 (2019) - [j32]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) - [j31]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) - [c73]Minchao Ye, Hong Chen, Chenxi Ji, Ling Lei, Yuntao Qian:
Spectral-Spatial Joint Noise Estimation for Hyperspectral Images. IGARSS 2019: 230-233 - [c72]Chenxi Ji, Minchao Ye, Huijuan Lu, Futian Yao, Yuntao Qian:
Feature Extraction of Hyperspectral Imagery Based on Deep NMF. IGARSS 2019: 1092-1095 - [c71]Hong Chen, Minchao Ye, Huijuan Lu, Ling Lei, Yuntao Qian:
Dual Dictionary Learning for Mining a Unified Feature Subspace between Different Hyperspectral Image Scenes. IGARSS 2019: 1096-1099 - [c70]Fengchao Xiong, Jun Zhou, Jocelyn Chanussot, Yuntao Qian:
Dynamic Material-Aware Object Tracking in Hyperspectral Videos. WHISPERS 2019: 1-6 - [i8]Jingzhou Chen, Siyu Chen, Peilin Zhou, Yuntao Qian:
Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation. CoRR abs/1904.07461 (2019) - [i7]Zhijian Luo, Siyu Chen, Yuntao Qian:
A Deep Optimization Approach for Image Deconvolution. CoRR abs/1904.07516 (2019) - 2018
- [j30]Danping Liao, Yuntao Qian, Yuan Yan Tang:
Constrained Manifold Learning for Hyperspectral Imagery Visualization. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(4): 1213-1226 (2018) - [j29]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) - [c69]Fengchao Xiong, Jun Zhou, Yuntao Qian:
Hyperspectral Imagery Denoising via Reweighed Sparse Low-Rank Nonnegative Tensor Factorization. ICIP 2018: 3219-3223 - [c68]Danping Liao, Siyu Chen, Yuntao Qian:
Visualization of Hyperspectral Images Using Moving Least Squares. ICPR 2018: 2851-2856 - [c67]Wei Zhang, Shihao Wang, Sophanyouly Thachan, Jingzhou Chen, Yuntao Qian:
Deconv R-CNN for Small Object Detection on Remote Sensing Images. IGARSS 2018: 2483-2486 - [c66]Minchao Ye, Yongqiu Xu, Huijuan Lu, Ke Yan, Yuntao Qian:
Cross-Scene Feature Selection for Hyperspectral Images Based on Cross-Domain Information Gain. IGARSS 2018: 4764-4767 - [c65]Jingzhou Chen, Wei Zhang, Yuntao Qian, Minchao Ye:
Deep Tensor Factorization for Hyperspectral Image Classification. IGARSS 2018: 4788-4791 - [c64]Fengchao Xiong, Jingzhou Chen, Jun Zhou, Yuntao Qian:
Superpixel-Based Nonnegative Tensor Factorization for Hyperspectral Unmixing. IGARSS 2018: 6392-6395 - [c63]Siyu Chen, Danping Liao, Yuntao Qian:
Spectral Image Visualization Using Generative Adversarial Networks. PRICAI (1) 2018: 388-401 - [i6]Danping Liao, Siyu Chen, Yuntao Qian:
Visualization of Hyperspectral Images Using Moving Least Squares. CoRR abs/1801.06635 (2018) - [i5]Siyu Chen, Danping Liao, Yuntao Qian:
Spectral Image Visualization Using Generative Adversarial Networks. CoRR abs/1802.02290 (2018) - [i4]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
- [j28]Reehan Ali Shah, Yuntao Qian, Dileep Kumar, Munwar Ali, Muhammad Bux Alvi:
Network Intrusion Detection through Discriminative Feature Selection by Using Sparse Logistic Regression. Future Internet 9(4): 81 (2017) - [j27]Minchao Ye, Wenbin Zheng, Huijuan Lu, Xianting Zeng, Yuntao Qian:
Cross-scene hyperspectral image classification based on DWT and manifold-constrained subspace learning. Int. J. Wavelets Multiresolution Inf. Process. 15(6): 1750062:1-1750062:16 (2017) - [j26]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) - [j25]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) - [j24]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) - [j23]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) - [j22]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) - [i3]Danping Liao, Yuntao Qian:
Paper evolution graph: Multi-view structural retrieval for academic literature. CoRR abs/1711.08913 (2017) - [i2]Danping Liao, Yuntao Qian, Yuan Yan Tang:
Constrained Manifold Learning for Hyperspectral Imagery Visualization. CoRR abs/1712.01657 (2017) - 2016
- [j21]Xianbao Wang, Wenxiu He, Xingang Wang, Minghai Yao, Yuntao Qian:
基于堆叠降噪自动编码器的胶囊缺陷检测方法 (Capsule Defects Detection Based on Stacked Denoising Autoencoders). 计算机科学 43(2): 64-67 (2016) - [j20]Bin Ju, Yuntao Qian, Minchao Ye:
Preference transfer model in collaborative filtering for implicit data. Frontiers Inf. Technol. Electron. Eng. 17(6): 489-500 (2016) - [j19]Wenhong Wang, Yuntao Qian, Yuan Yan Tang:
Hypergraph-Regularized Sparse NMF for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(2): 681-694 (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) - [c62]Reehan Ali Shah, Yuntao Qian, Ghulam Mahdi:
Group Feature Selection via Structural Sparse Logistic Regression for IDS. HPCC/SmartCity/DSS 2016: 594-600 - [c61]Danping Liao, Yuntao Qian, Ze-Nian Li:
Semisupervised manifold learning for color transfer between multiview images. ICPR 2016: 259-264 - [c60]Zhijian Luo, Danping Liao, Yuntao Qian:
Bound analysis of natural gradient descent in stochastic optimization setting. ICPR 2016: 4166-4171 - [c59]Wenhong Wang, Yuntao Qian:
Parallel adaptive sparsity-constrained NMF algorithm for hyperspectral unmixing. IGARSS 2016: 6137-6140 - [c58]Yangyang Xu, Yuntao Qian:
Group sparse nonnegative matrix factorization for hyperspectral image denoising. IGARSS 2016: 6958-6961 - [c57]Wenhong Wang, Yuntao Qian:
Kernel based sparse NMF algorithm for hyperspectral unmixing. IGARSS 2016: 6970-6973 - [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]Wenhong Wang, Yuntao Qian:
Adaptive L1/2 Sparsity-Constrained NMF With Half-Thresholding Algorithm for Hyperspectral Unmixing. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2618-2631 (2015) - [j15]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) - [j14]Wenbin Zheng, Hong Tang, Yuntao Qian:
Collaborative work with linear classifier and extreme learning machine for fast text categorization. World Wide Web 18(2): 235-252 (2015) - [c56]Jialu Fang, Yuntao Qian:
Local detail enhanced hyperspectral image visualization. IGARSS 2015: 1092-1095 - [c55]Lei Tong, Jun Zhou, Yuntao Qian, Yongsheng Gao:
Multiple graph regularized NMF for hyperspectral unmixing. WHISPERS 2015: 1-4 - [c54]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
- [j13]Li-chun Yang, Yuntao Qian:
Speech enhancement with a GSC-like structure employing sparse coding. J. Zhejiang Univ. Sci. C 15(12): 1154-1163 (2014) - [c53]Bin Ju, Mincao Ye, Yuntao Qian, Rong Ni, Chenxi Zhu:
Modeling Behaviors of Browsing and Buying for Alidata Discovery Using Joint Non-negative Matrix Factorization. CIS 2014: 114-118 - [c52]Danping Liao, Yuntao Qian, Jun Zhou:
Visualization of Hyperspectral Imaging Data Based on Manifold Alignment. ICPR 2014: 70-75 - 2013
- [j12]Wenbin Zheng, Yuntao Qian, Huijuan Lu:
Text categorization based on regularization extreme learning machine. Neural Comput. Appl. 22(3-4): 447-456 (2013) - [j11]Yuntao Qian, Minchao Ye:
Hyperspectral Imagery Restoration Using Nonlocal Spectral-Spatial Structured Sparse Representation With Noise Estimation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6(2-2): 499-515 (2013) - [j10]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) - [c51]Lei Tong, Jun Zhou, Chengyuan Xu, Yuntao Qian, Yongsheng Gao:
Soil Biochar Quantification via Hyperspectral Unmixing. DICTA 2013: 1-8 - [c50]Yuntao Qian, Danping Liao, Jun Zhou:
Manifold alignment based color transfer for multiview image stitching. ICIP 2013: 1341-1345 - [c49]Jie Liang, Jun Zhou, Xiao Bai, Yuntao Qian:
Salient object detection in hyperspectral imagery. ICIP 2013: 2393-2397 - [c48]Minchao Ye, Yuntao Qian, Qi Wang:
MT-OMP for hyperspectral imagery denoising with model parameter estimation. IGARSS 2013: 1079-1082 - [c47]Danping Liao, Minchao Ye, Sen Jia, Yuntao Qian:
Noise reduction of hyperspectral imagery based on nonlocal tensor factorization. IGARSS 2013: 1083-1086 - [c46]Danping Liao, Minchao Ye, Sen Jia, Yuntao Qian:
Visualization of hyperspectral imagery based on manifold learning. IGARSS 2013: 1979-1982 - [c45]Minchao Ye, Yuntao Qian, Qi Wang:
Panchromatic image based dictionary learning for hyperspectral imagery denoising. IGARSS 2013: 4130-4133 - 2012
- [j9]Wenbin Zheng, Yuntao Qian, Minchao Ye:
A Grouped Structure-based Regularized Regression Model for Text Categorization. J. Softw. 7(9): 2119-2124 (2012) - [j8]Sen Jia, Zhen Ji, Yuntao Qian, Linlin Shen:
Unsupervised Band Selection for Hyperspectral Imagery Classification Without Manual Band Removal. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 5(2): 531-543 (2012) - [c44]Ping Lv, Jin Qian, Yuntao Qian:
Knowledge reduction in decision-theoretic rough set model based on connection degree. FSKD 2012: 943-947 - [c43]Wenbin Zheng, Yuntao Qian:
Non-negative Sparse Semantic Coding for text categorization. ICPR 2012: 409-412 - [c42]Yuntao Qian, Yanhao Shen, Minchao Ye, Qi Wang:
3-D nonlocal means filter with noise estimation for hyperspectral imagery denoising. IGARSS 2012: 1345-1348 - [c41]Yuntao Qian, Minchao Ye, Qi Wang:
Noise reduction of hyperspectral imagery using nonlocal sparse representation with spectral-spatial structure. IGARSS 2012: 3467-3470 - [c40]Sen Jia, Jinquan Liang, Lin Deng, Yuntao Qian:
Minimum variance block-based nonnegative matrix factorization algorithm for hyperspectral unmixing. WHISPERS 2012: 1-4 - [c39]Minchao Ye, Yuntao Qian:
Mixed Poisson-Gaussian noise model based sparse denoising for hyperspectral imagery. WHISPERS 2012: 1-4 - 2011
- [j7]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) - [c38]Wenbin Zheng, Yuntao Qian, Hong Tang:
Dimensionality Reduction with Category Information Fusion and Non-negative Matrix Factorization for Text Categorization. AICI (3) 2011: 505-512 - [c37]Kai Wang, Yuntao Qian:
Fast and accurate iris segmentation based on linear basis function and RANSAC. ICIP 2011: 3205-3208 - [c36]Yuntao Qian, Jun Zhou, Minchao Ye, Qi Wang:
Structured sparse model based feature selection and classification for hyperspectral imagery. IGARSS 2011: 1771-1774 - [c35]Jiming Li, Yuntao Qian:
Dimension reduction of hyperspectral images with sparse linear discriminant analysis. IGARSS 2011: 2927-2930 - 2010
- [c34]Wenbin Zheng, Yuntao Qian:
Aggressive Dimensionality Reduction with Reinforcement Local Feature Selection for Text Categorization. AICI (1) 2010: 365-372 - [c33]Yuntao Qian, Sen Jia, Jun Zhou, Antonio Robles-Kelly:
L1/2 Sparsity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing. DICTA 2010: 447-453 - [c32]Sen Jia, Yuntao Qian, Jiming Li, Yan Li, Zhong Ming:
Hierarchical alternating least squares algorithm with Sparsity Constraint for hyperspectral unmixing. ICIP 2010: 2305-2308 - [c31]Jiming Li, Yuntao Qian, Sen Jia:
Regularized logistic regression method for change detection in multispectral data via Pathwise Coordinate optimization. ICIP 2010: 2309-2312 - [c30]Sen Jia, Yuntao Qian, Jiming Li, Weixiang Liu, Zhen Ji:
Feature extraction and selection hybrid algorithm for hyperspectral imagery classification. IGARSS 2010: 72-75 - [c29]Yuntao Qian, Qi Wang:
Noise-robust subband decomposition blind signal separation for hyperspectral unmixing. IGARSS 2010: 983-986 - [c28]Futian Yao, Yuntao Qian, Zhenfang Hu, Jiming Li:
A novel hyperspectral remote sensing images classification using Gaussian Processes with conditional random fields. ISKE 2010: 197-202
2000 – 2009
- 2009
- [j6]Sen Jia, Yuntao Qian:
Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 47(1-1): 161-173 (2009) - [c27]Jiming Li, Yuntao Qian:
Regularized Multinomial Regression Method for Hyperspectral Data Classification via Pathwise Coordinate Optimization. DICTA 2009: 540-545 - [c26]Futian Yao, Xiaozhu Chen, Yuntao Qian, Jiming Li:
Design and Implementation of an Embedded Quality Control System. ICESS 2009: 423-428 - [c25]Jiming Li, Zhenfang Hu, Yuntao Qian:
Hyperspectral data classification using Margin Infused Relaxed Algorithm. ICIP 2009: 1689-1692 - [c24]Futian Yao, Yuntao Qian:
Band selection based gaussian processes for hyperspectral remote sensing images classification. ICIP 2009: 2845-2848 - 2008
- [j5]Yuntao Qian, Robert F. Murphy:
Improved recognition of figures containing fluorescence microscope images in online journal articles using graphical models. Bioinform. 24(4): 569-576 (2008) - [c23]Sen Jia, Yuntao Qian, Zhen Ji:
Band Selection for Hyperspectral Imagery Using Affinity Propagation. DICTA 2008: 137-141 - [c22]Qiuhua Zheng, Weihua Hu, Yuntao Qian, Min Yao, Xianglin Wang, Jing Chen:
A Novel Approach for Network Event Correlation Based on Set Covering. FSKD (3) 2008: 122-126 - 2007
- [j4]Sen Jia, Yuntao Qian:
Mrf-ICA Mixture Model for Hyperspectral Imagery Unmixing. Int. J. Wavelets Multiresolution Inf. Process. 5(1): 113-127 (2007) - [j3]Guang Dai, Dit-Yan Yeung, Yuntao Qian:
Face recognition using a kernel fractional-step discriminant analysis algorithm. Pattern Recognit. 40(1): 229-243 (2007) - [j2]Sen Jia, Yuntao Qian:
Spectral and Spatial Complexity-Based Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 45(12-1): 3867-3879 (2007) - [c21]Sen Jia, Yuntao Qian:
A Complexity Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing. ICA 2007: 268-276 - 2006
- [c20]Yao Chen, Yuntao Qian:
Semi-supervised Dynamic Counter Propagation Network. ADMA 2006: 533-541 - [c19]Guangjie Ling, Yuntao Qian, Sen Jia:
Segmental Semi-Markov Model Based Online Series Pattern Detection Under Arbitrary Time Scaling. ADMA 2006: 731-740 - [c18]Sen Jia, Yuntao Qian:
Improved Stone's Complexity Pursuit for Hyperspectral Imagery Unmixing. ICPR (4) 2006: 817-820 - [c17]Qiuhua Zheng, Yuntao Qian, Min Yao:
A Network Event Correlation Algorithm Based on Fault Filtration. PRICAI 2006: 864-869 - [c16]Sen Jia, Yuntao Qian:
MRF Based Spatial Complexity for Hyperspectral Imagery Unmixing. SSPR/SPR 2006: 531-540 - 2005
- [c15]Qiuhua Zheng, Yuntao Qian:
An Event Correlation Approach Based on the Combination of IHU and Codebook. CIS (2) 2005: 757-763 - [c14]Qiuhua Zheng, Yuntao Qian, Min Yao:
Non-deterministic Event Correlation Based on C-F Model. FSKD (2) 2005: 1107-1117 - [c13]Yuntao Qian, Wenwu Si:
A semi-supervised color image segmentation method. ICIP (2) 2005: 1194-1197 - [c12]Sen Jia, Yuntao Qian:
An MRF-ICA Based Algorithm for Image Separation. ICNC (2) 2005: 391-395 - 2004
- [c11]Guang Dai, Yuntao Qian:
Face Recognition Using Novel LDA-Based Algorithms. ECAI 2004: 455-459 - [c10]Guang Dai, Yuntao Qian, Sen Jia:
Modified kernel-based nonlinear feature extraction [face recognition example]. ICASSP (5) 2004: 721-724 - [c9]Guang Dai, Yuntao Qian:
Kernel generalized nonlinear discriminant analysis algorithm for pattern recognition. ICIP 2004: 2697-2700 - [c8]Guang Dai, Yuntao Qian:
A Gabor direct fractional-step LDA algorithm for face recognition. ICME 2004: 61-64 - [c7]Guang Dai, Yuntao Qian, Sen Jia:
A Kernel Fractional-Step Nonlinear Discriminant Analysis for Pattern Recognition. ICPR (2) 2004: 431-434 - [c6]Sen Jia, Yuntao Qian, Guang Dai:
An Advanced Segmental Semi-Markov Model Based Online Series Pattern Detection. ICPR (3) 2004: 634-637 - [c5]Guang Dai, Yuntao Qian:
Face recognition with the robust feature extracted by the generalized Foley-Sammon transform. ISCAS (2) 2004: 109-112 - [c4]Guang Dai, Yuntao Qian:
By normalizing to improve generalized Foley-Sammon transform in high-dimensional spaces - with application to face recognition. SMC (3) 2004: 2175-2179 - 2002
- [j1]Yuntao Qian, Ching Y. Suen, Yuan Yan Tang:
Sequential Combination Methods for Data Clustering Analysis. J. Comput. Sci. Technol. 17(2): 118-128 (2002) - 2000
- [c3]Yuntao Qian, Ching Y. Suen:
Clustering Combination Method. ICPR 2000: 2732-2735
1990 – 1999
- 1999
- [c2]Yuntao Qian:
Image Interpretation with Fuzzy-Graph Based Genetic Algorithm. ICIP (1) 1999: 545-549 - 1997
- [c1]Yuntao Qian, Rongchun Zhao:
Image Segmentation Based on Combination of Global and Local Information. ICIP (1) 1997: 204-207
Coauthor Index
Minchao Ye
aka: Mincao Ye
aka: Mincao Ye
[j80] [j78] [j77] [j76] [j75] [j71] [c105] [i17] [i16] [j66] [j65] [j63] [c103] [c101] [j57] [j56] [j55] [j54] [j52] [j51] [c94] [c93] [c92] [c85] [c83] [c79] [j44] [j41] [j40] [j39] [c78] [c74] [i9] [j32] [j31] [c70] [j29] [c69] [c64] [i4] [j26] [j25] [j24] [j23] [j22] [j18] [j17] [i1] [j15] [c55] [c54] [c52] [j10] [c51] [c50] [c49] [j7] [c36] [c33]
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