| Dehazenet: An end-to-end system for single image haze removal B Cai, X Xu, K Jia, C Qing, D Tao IEEE transactions on image processing 25 (11), 5187-5198, 2016 | 2751 | 2016 |
| Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging J Zabalza, J Ren, J Zheng, H Zhao, C Qing, Z Yang, P Du, S Marshall Neurocomputing 185, 1-10, 2016 | 388 | 2016 |
| Interpretable emotion recognition using EEG signals C Qing, R Qiao, X Xu, Y Cheng Ieee Access 7, 94160-94170, 2019 | 139 | 2019 |
| Hierarchical lifelong learning by sharing representations and integrating hypothesis T Zhang, G Su, C Qing, X Xu, B Cai, X Xing IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (2), 1004-1014, 2019 | 94 | 2019 |
| Simple to complex transfer learning for action recognition F Liu, X Xu, S Qiu, C Qing, D Tao IEEE Transactions on Image Processing 25 (2), 949-960, 2015 | 64 | 2015 |
| Superpoint transformer for 3d scene instance segmentation J Sun, C Qing, J Tan, X Xu Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 2393-2401, 2023 | 54 | 2023 |
| A novel deep-learning based framework for multi-subject emotion recognition R Qiao, C Qing, T Zhang, X Xing, X Xu 2017 4th International Conference on Information, Cybernetics and …, 2017 | 53 | 2017 |
| Cross parallax attention network for stereo image super-resolution C Chen, C Qing, X Xu, P Dickinson IEEE Transactions on Multimedia 24, 202-216, 2021 | 37 | 2021 |
| Fast implementation of two-dimensional singular spectrum analysis for effective data classification in hyperspectral imaging J Zabalza, C Qing, P Yuen, G Sun, H Zhao, J Ren Journal of the Franklin Institute 355 (4), 1733-1751, 2018 | 31 | 2018 |
| High speed deep networks based on discrete cosine transformation X Zou, X Xu, C Qing, X Xing 2014 IEEE International Conference on Image Processing (ICIP), 5921-5925, 2014 | 31 | 2014 |
| Spatial‐spectral classification of hyperspectral images: a deep learning framework with Markov Random fields based modelling C Qing, J Ruan, X Xu, J Ren, J Zabalza IET Image Processing 13 (2), 235-245, 2019 | 28 | 2019 |
| Underwater video dehazing based on spatial–temporal information fusion C Qing, F Yu, X Xu, W Huang, J Jin Multidimensional Systems and Signal Processing 27, 909-924, 2016 | 28 | 2016 |
| A method to eliminate riding waves appearing in the empirical AM/FM demodulation Z Yang, L Yang, C Qing, D Huang Digital Signal Processing 18 (4), 488-504, 2008 | 28 | 2008 |
| Accelerating flexible manifold embedding for scalable semi-supervised learning S Qiu, F Nie, X Xu, C Qing, D Xu IEEE transactions on circuits and systems for video technology 29 (9), 2786-2795, 2018 | 26 | 2018 |
| Image and video dehazing using view-based cluster segmentation F Yu, C Qing, X Xu, B Cai 2016 Visual Communications and Image Processing (VCIP), 1-4, 2016 | 22 | 2016 |
| Multi-level context pyramid network for visual sentiment analysis H Ou, C Qing, X Xu, J Jin Sensors 21 (6), 2136, 2021 | 20 | 2021 |
| An oblique-extrema-based approach for empirical mode decomposition Z Yang, L Yang, C Qing Digital signal processing 20 (3), 699-714, 2010 | 19 | 2010 |
| Temporal variance analysis for action recognition J Miao, X Xu, S Qiu, C Qing, D Tao IEEE Transactions on Image Processing 24 (12), 5904-5915, 2015 | 18 | 2015 |
| Salbinet360: Saliency prediction on 360 images with local-global bifurcated deep network D Chen, C Qing, X Xu, H Zhu 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 92-100, 2020 | 14 | 2020 |
| Automatic nesting seabird detection based on boosted HOG-LBP descriptors C Qing, P Dickinson, S Lawson, R Freeman 2011 18th IEEE International Conference on Image Processing, 3577-3580, 2011 | 14 | 2011 |
