| Reducing complexity of HEVC: A deep learning approach M Xu, T Li, Z Wang, X Deng, R Yang, Z Guan IEEE Transactions on Image Processing 27 (10), 5044-5059, 2018 | 372 | 2018 |
| Hinet: Deep image hiding by invertible network J Jing, X Deng, M Xu, J Wang, Z Guan Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 214 | 2021 |
| Deep convolutional neural network for multi-modal image restoration and fusion X Deng, PL Dragotti IEEE transactions on pattern analysis and machine intelligence 43 (10), 3333 …, 2020 | 214 | 2020 |
| DeepMIH: Deep invertible network for multiple image hiding Z Guan, J Jing, X Deng, M Xu, L Jiang, Z Zhang, Y Li IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 372-390, 2022 | 168 | 2022 |
| Region-of-interest based conversational HEVC coding with hierarchical perception model of face M Xu, X Deng, S Li, Z Wang IEEE Journal of Selected Topics in Signal Processing 8 (3), 475-489, 2014 | 113 | 2014 |
| Deep coupled feedback network for joint exposure fusion and image super-resolution X Deng, Y Zhang, M Xu, S Gu, Y Duan IEEE Transactions on Image Processing 30, 3098-3112, 2021 | 102 | 2021 |
| A deep convolutional neural network approach for complexity reduction on intra-mode HEVC T Li, M Xu, X Deng 2017 IEEE International Conference on Multimedia and Expo (ICME), 1255-1260, 2017 | 98 | 2017 |
| Wavelet domain style transfer for an effective perception-distortion tradeoff in single image super-resolution X Deng, R Yang, M Xu, PL Dragotti Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 90 | 2019 |
| A subjective visual quality assessment method of panoramic videos M Xu, C Li, Y Liu, X Deng, J Lu 2017 IEEE International Conference on Multimedia and Expo (ICME), 517-522, 2017 | 84 | 2017 |
| NTIRE 2023 challenge on stereo image super-resolution: Methods and results L Wang, Y Guo, Y Wang, J Li, S Gu, R Timofte, M Cheng, H Ma, Q Ma, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 81 | 2023 |
| Multimodal image super-resolution via joint sparse representations induced by coupled dictionaries P Song, X Deng, JFC Mota, N Deligiannis, PL Dragotti, MRD Rodrigues IEEE Transactions on Computational Imaging 6, 57-72, 2019 | 79 | 2019 |
| Interpretable multi-modal image registration network based on disentangled convolutional sparse coding X Deng, E Liu, S Li, Y Duan, M Xu IEEE Transactions on Image Processing 32, 1078-1091, 2023 | 73 | 2023 |
| Joint learning of 3D lesion segmentation and classification for explainable COVID-19 diagnosis X Wang, L Jiang, L Li, M Xu, X Deng, L Dai, X Xu, T Li, Y Guo, Z Wang, ... IEEE transactions on medical imaging 40 (9), 2463-2476, 2021 | 72 | 2021 |
| Deep coupled ISTA network for multi-modal image super-resolution X Deng, PL Dragotti IEEE Transactions on Image Processing 29, 1683-1698, 2019 | 71 | 2019 |
| Weight-based R-λ rate control for perceptual HEVC coding on conversational videos S Li, M Xu, X Deng, Z Wang Signal Processing: Image Communication 38, 127-140, 2015 | 59 | 2015 |
| Enhancing image quality via style transfer for single image super-resolution X Deng IEEE Signal Processing Letters 25 (4), 571-575, 2018 | 56 | 2018 |
| Multi-level wavelet-based generative adversarial network for perceptual quality enhancement of compressed video J Wang, X Deng, M Xu, C Chen, Y Song European Conference on Computer Vision, 405-421, 2020 | 55 | 2020 |
| Lau-net: Latitude adaptive upscaling network for omnidirectional image super-resolution X Deng, H Wang, M Xu, Y Guo, Y Song, L Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 53 | 2021 |
| Deep homography for efficient stereo image compression X Deng, W Yang, R Yang, M Xu, E Liu, Q Feng, R Timofte Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 52 | 2021 |
| Subjective-driven complexity control approach for HEVC X Deng, M Xu, L Jiang, X Sun, Z Wang IEEE Transactions on Circuits and Systems for Video Technology 26 (1), 91-106, 2016 | 46 | 2016 |
Mai XuBeihang Univeristy, Tsinghua Univeristy, Imperial College LondonΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα buaa.edu.cn
