Bin Qian
Affiliations:- Traffic Management Research Institute of the Ministry of Public Security, Wuxi, China
- Nanjing University of Science and Technology, Department of computer science and technology, Nanjing, China (PhD 2018)
According to our database1,
Bin Qian
authored at least 15 papers
between 2016 and 2022.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2022
Superpixel Spectral-Spatial Feature Fusion Graph Convolution Network for Hyperspectral Image Classification.
IEEE Trans. Geosci. Remote. Sens., 2022
IEEE Trans. Geosci. Remote. Sens., 2022
2021
Hyperspectral Image Classification With Spectral and Spatial Graph Using Inductive Representation Learning Network.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Self-Attention-Based Conditional Variational Auto-Encoder Generative Adversarial Networks for Hyperspectral Classification.
Remote. Sens., 2021
2020
Adaptive Graph Regularized Multilayer Nonnegative Matrix Factorization for Hyperspectral Unmixing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
2018
基于稀疏表示和多特征融合的路面裂缝检测 (Pavement Crack Detection Based on Sparse Representation and Multi-feature Fusion).
计算机科学, 2018
Proceedings of the Cloud Computing and Security - 4th International Conference, 2018
2017
J. Electronic Imaging, 2017
Int. J. Wavelets Multiresolution Inf. Process., 2017
Nonnegative matrix factorization with region sparsity learning for hyperspectral unmixing.
Int. J. Wavelets Multiresolution Inf. Process., 2017
Melanoma Detection Based on Mahalanobis Distance Learning and Constrained Graph Regularized Nonnegative Matrix Factorization.
Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017
2016
Nonnegative matrix factorization with endmember sparse graph learning for hyperspectral unmixing.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016
A Semi-supervised Learning Algorithm Based on Low Rank and Weighted Sparse Graph for Face Recognition.
Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016
Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016