jingyao16's Stars
datawhalechina/pumpkin-book
《机器学习》（西瓜书）公式详解
cszn/USRNet
Deep Unfolding Network for Image Super-Resolution (CVPR, 2020) (PyTorch)
Event-AHU/Mamba_State_Space_Model_Paper_List
[Mamba-Survey-2024] Paper list for State-Space-Model/Mamba and it's Applications
danfenghong/IEEE_TGRS_GCN
Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Graph Convolutional Networks for Hyperspectral Image Classification, IEEE Trans. Geosci. Remote Sens., 2021, 59(7): 5966-5978.
Yangzhangcst/Mamba-in-CV
A paper list of some recent Mamba-based CV works.
danfenghong/IEEE_TGRS_SpectralFormer
Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Spectralformer: Rethinking hyperspectral image classification with transformers, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021
danfenghong/IEEE_TPAMI_SpectralGPT
Hong, D., Zhang, B., Li, X., Li, Y., Li, C., Yao, J., Yokoya, N., Li, H., Ghamisi, P., Jia, X., Plaza, A. and Gamba, P., Benediktsson, J., Chanussot, J. (2024). SpectralGPT: Spectral remote sensing foundation model. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024. DOI:10.1109/TPAMI.2024.3362475.
danfenghong/IEEE_TIP_UIU-Net
Xin Wu, Danfeng Hong, Jocelyn Chanussot. UIU-Net: U-Net in U-Net for Infrared Small Object Detection, IEEE Trans. Image. Process., 2022, 32: 364-376.
danfenghong/IEEE_TGRS_MDL-RS
Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang. More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification, IEEE TGRS, 2021, 59(5): 4340-4354.
danfenghong/ISPRS_S2FL
Danfeng Hong, JIngliang Hu, Jing Yao, Jocelyn Chanussot, Xiao Xiang Zhu. Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification with A Shared and Specific Feature Learning Model, ISPRS JP&RS, 2021.
danfenghong/ECCV2020_CUCaNet
Cross-Attention in Coupled Unmixing Nets for Unsupervised Hyperspectral Super-Resolution, ECCV, 2020. (PyTorch)
danfenghong/SpectralMamba
Yao, Jing, Danfeng Hong, Chenyu Li, and Jocelyn Chanussot. "SpectralMamba: Efficient Mamba for Hyperspectral Image Classification." arXiv preprint arXiv:2404.08489, 2024.
danfenghong/IEEE_TNNLS_EGU-Net
Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang. Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing, IEEE TNNLS, 2021.
danfenghong/RSE_Cross-city
Danfeng Hong, Bing Zhang, Hao Li, Yuxuan Li, Jing Yao, Chenyu Li, Martin Werner, Jocelyn Chanussot, Alexander Zipf, Xiao Xiang Zhu. Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation using High-Resolution Domain Adapation Networks, Remote Sensing of Enviroment, 2023.
danfenghong/IEEE_GRSL_EndNet
Danfeng Hong, Lianru Gao, Renlong Hang, Bing Zhang, Jocelyn Chanussot. Deep Encoder-Decoder Networks for Classification of Hyperspectral and LiDAR Data, IEEE GRSL, 2020.
danfenghong/IEEE_TGRS_CCR-Net
Xin Wu, Danfeng Hong, Jocelyn Chanussot. Convolutional Neural Networks for Multimodal Remote Sensing Data Classification, IEEE Transactions on Geoscience and Remote Sensing, 2021.
satellogic/iquaflow
Image Quality Framework
xiangyongcao/CNN-AL-MRF
This is the code of "Hyperspectral Image Classification with Convolutional Neural Network and Active Learning".
jingyao16/ExViT
danfenghong/IEEE_TGRS_J-SLoL
Lianru Gao, Danfeng Hong, Jing Yao, Bing Zhang, Paolo Gamba, Jocelyn Chanussot. Spectral Superresolution of Multispectral Imagery with Joint Sparse and Low-Rank Learning, IEEE TGRS, 2020.
danfenghong/IEEE_TGRS_SeCoDe
Matlab code of the TGRS paper entitled "Sparsity-Enhanced Convolutional Decomposition: A Novel Tensor-Based Paradigm for Blind Hyperspectral Unmixing".
danfenghong/HyFTech
Behnood Rasti, Danfeng Hong, Renlong Hang, Pedram Ghamisi, Xudong Kang, Jocelyn Chanussot, Jon Atli Benediktsson. Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep (Overview and Toolbox), IEEE GRSM, 2020,
danfenghong/ALMM_TIP
Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiaoxiang Zhu. An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing, IEEE TIP, 2019.
danfenghong/ISPRS_LeMA
Danfeng Hong, Naoto Yokoya, Nan Ge, Jocelyn Chanussot, Xiaoxiang Zhu. Learnable Manifold Alignment (LeMA): A Semi-supervised Cross-modality Learning Framework for Land Cover and Land Use Classification, ISPRS JP&RS, 2019.
danfenghong/ECCV2018_J-Play
Danfeng Hong, Naoto Yokoya, Jian Xu, Xiaoxiang Zhu. Joint & Progressive Learning from High-Dimensional Data for Multi-Label Classification, ECCV, 2018.
danfenghong/IEEE_JSTARS_RLML
Danfeng Hong, Naoto Yokoya, Xiaoxiang Zhu. Learning a Robust Local Manifold Representation for Hyperspectral Dimensionality Reduction, IEEE JSTARS, 2017.
danfenghong/IEEE_TGRS_CoSpace
Danfeng Hong, Naoto Yokoya, Jocelyn Chanussot, Xiaoxiang Zhu. CoSpace: Common Subspace Learning From Hyperspectral-Multispectral Correspondences, IEEE TGRS, 2019.
danfenghong/IEEE_TGRS_IAPs
Danfeng Hong, Xin Wu, Pedram Ghamisi, Jocelyn Chanussot, Naoto Yokoya, Xiaoxiang Zhu. Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification, IEEE TGRS, 2020, 58(6): 3791-3808.
danfenghong/ComCSC
Jian Kang, Danfeng Hong, Jialin Liu, Gerald Baier, Naoto Yokoya, Begüm Demir. Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration, IEEE TNNLS, 2020.
jingyao16/UCSL