| Hyperspectral image classification with Markov random fields and a convolutional neural network X Cao, F Zhou, L Xu, D Meng, Z Xu, J Paisley IEEE Transactions on image processing 27 (5), 2354-2367, 2018 | 324 | 2018 |
| Hyperspectral image classification with convolutional neural network and active learning X Cao, J Yao, Z Xu, D Meng IEEE Transactions on Geoscience and Remote Sensing 58 (7), 4604-4616, 2020 | 303 | 2020 |
| Denoising hyperspectral image with non-iid noise structure Y Chen, X Cao, Q Zhao, D Meng, Z Xu IEEE Transactions on Cybernetics 48 (3), 1054-1066, 2017 | 177 | 2017 |
| Underwater image enhancement with global-local networks and compressed-histogram equalization X Fu, X Cao* Signal Processing: Image Communication, 2020 | 167 | 2020 |
| Integration of 3-dimensional discrete wavelet transform and Markov random field for hyperspectral image classification X Cao, L Xu, D Meng, Q Zhao, Z Xu Neurocomputing 226, 90-100, 2017 | 116 | 2017 |
| Robust Low-Rank Matrix Factorization Under General Mixture Noise Distributions X Cao, Q Zhao, D Meng, Y Chen, Z Xu IEEE Transactions on Image Processing 25 (10), 4677-4690, 2016 | 111 | 2016 |
| Deep Spatial-Spectral Global Reasoning Network for Hyperspectral Image Denoising X Cao, X Fu, C Xu, D Meng IEEE Transactions on Geoscience and Remote Sensing, 2021 | 107 | 2021 |
| Polarimetric SAR Image Semantic Segmentation with 3D Discrete Wavelet Transform and Markov Random Field H Bi, L Xu, X Cao, Y Xue, X Zongben IEEE Transactions on Image Processing, 2020 | 98 | 2020 |
| Low-rank matrix factorization under general mixture noise distributions X Cao, Y Chen, Q Zhao, D Meng, Y Wang, D Wang, Z Xu IEEE International Conference on Computer Vision (ICCV), 1493-1501, 2015 | 92 | 2015 |
| PanCSC-Net: A model-driven deep unfolding method for pansharpening X Cao, X Fu, D Hong, Z Xu, D Meng IEEE Transactions on Geoscience and Remote Sensing 60, 1-13, 2021 | 62 | 2021 |
| Online Rain/Snow Removal from Surveillance Videos M Li, X Cao, Q Zhao, L Zhang, D Meng IEEE Transactions on Image Processing, 2021 | 50* | 2021 |
| A Model-Driven Deep Unfolding Method for JPEG Artifacts Removal X Fu, M Wang, X Cao*, X Ding, Z Zha IEEE Transactions on Neural Network and Learning System, 2021 | 47 | 2021 |
| Semi-active convolutional neural networks for hyperspectral image classification J Yao, X Cao, D Hong, X Wu, D Meng, J Chanussot, Z Xu IEEE Transactions on Geoscience and Remote Sensing 60, 1-15, 2022 | 46 | 2022 |
| Memory-augmented Deep Unfolding Network for Guided Image Super-resolution M Zhou, K Yan, J Pan, W Ren, Q Xie, X Cao* International Journal of Computer Vision, 2022 | 46 | 2022 |
| An Enhanced 3-D Discrete Wavelet Transform for Hyperspectral Image Classification X Cao, J Yao, X Fu, H Bi, D Hong IEEE Geoscience and Remote Sensing Letters, 2020 | 45 | 2020 |
| New Interpretations of Normalization Methods in Deep Learning J Sun, X Cao, H Liang, W Huang, Z Chen, Z Li Proceedings of the AAAI Conference on Artificial Intelligence, 2020 | 42 | 2020 |
| SRAF-Net: A Scene-Relevant Anchor-Free Object Detection Network in Remote Sensing Images J Liu, S Li, C Zhou, X Cao, Y Gao, B Wang IEEE Transactions on Geoscience and Remote Sensing, 2021 | 35 | 2021 |
| TRQ3DNet: A 3D Quasi-Recurrent and Transformer Based Network for Hyperspectral Image Denoising L Pang, W Gu, X Cao* Remote Sensing 14 (18), 4598, 2022 | 30 | 2022 |
| A Low-rank Matching Attention based Cross-modal Feature Fusion Method for Conversational Emotion Recognition Y Shou, X Cao*, D Meng, B Dong, Q Zheng arXiv:2306.17799, 2023 | 28 | 2023 |
| Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field X Cao, Z Xu, D Meng Remote Sensing 11 (13), 1565, 2019 | 28 | 2019 |
Deyu MengProfessor, Xi'an Jiaotong University在 mail.xjtu.edu.cn 的电子邮件经过验证
