| 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 |
| State-of-the-art in 360° Video/Image Processing: Perception, Assessment and Compression M Xu, C Li, S Zhang, PL Callet IEEE Journal of Selected Topics in Signal Processing, 2020 | 327 | 2020 |
| The Application of Cooperative Transmissions to Secrecy Communications FL Z. Ding, M. Xu, K. Cumunan Crc Press, 2013 | 320* | 2013 |
| Attention based glaucoma detection: A large-scale database and CNN model L Li, M Xu, X Wang, L Jiang, H Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 282 | 2019 |
| A large-scale database and a CNN model for attention-based glaucoma detection L Li, M Xu, H Liu, Y Li, X Wang, L Jiang, Z Wang, X Fan, N Wang IEEE transactions on medical imaging 39 (2), 413-424, 2020 | 280 | 2020 |
| Development and validation of a deep learning system to detect glaucomatous optic neuropathy using fundus photographs H Liu, L Li, IM Wormstone, C Qiao, C Zhang, P Liu, S Li, H Wang, D Mou, ... JAMA ophthalmology 137 (12), 1353-1360, 2019 | 275 | 2019 |
| Predicting head movement in panoramic video: A deep reinforcement learning approach M Xu, Y Song, J Wang, ML Qiao, L Huo, Z Wang IEEE transactions on pattern analysis and machine intelligence 41 (11), 2693 …, 2019 | 274 | 2019 |
| Multi-frame quality enhancement for compressed video R Yang, M Xu, Z Wang, T Li Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 273 | 2018 |
| Road structure refined CNN for road extraction in aerial image Y Wei, Z Wang, M Xu IEEE Geoscience and Remote Sensing Letters 14 (5), 709-713, 2017 | 250 | 2017 |
| MFQE 2.0: A new approach for multi-frame quality enhancement on compressed video Z Guan, Q Xing, M Xu, R Yang, T Liu, Z Wang IEEE transactions on pattern analysis and machine intelligence, 2021 | 247 | 2021 |
| Enhancing quality for HEVC compressed videos R Yang, M Xu, T Liu, Z Wang, Z Guan IEEE Transactions on Circuits and Systems for Video Technology 29 (7), 2039-2054, 2019 | 226 | 2019 |
| Deepvs: A deep learning based video saliency prediction approach L Jiang, M Xu, T Liu, M Qiao, Z Wang Proceedings of the european conference on computer vision (eccv), 602-617, 2018 | 216 | 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 |
| A multipath routing protocol based on clustering and ant colony optimization for wireless sensor networks J Yang, M Xu, W Zhao, B Xu Sensors 10 (5), 4521-4540, 2010 | 192 | 2010 |
| A deep learning approach for multi-frame in-loop filter of HEVC T Li, M Xu, C Zhu, R Yang, Z Wang, Z Guan IEEE Transactions on Image Processing 28 (11), 5663-5678, 2019 | 191 | 2019 |
| Assessing visual quality of omnidirectional videos M Xu, C Li, Z Chen, Z Wang, Z Guan IEEE transactions on circuits and systems for video technology 29 (12), 3516 …, 2019 | 179 | 2019 |
| 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 | 167 | 2022 |
| DeepQTMT: A deep learning approach for fast QTMT-based CU partition of intra-mode VVC T Li, M Xu, R Tang, Y Chen, Q Xing IEEE Transactions on Image Processing 30, 5377-5390, 2021 | 166 | 2021 |
| DeepMTT: A deep learning maneuvering target-tracking algorithm based on bidirectional LSTM network J Liu, Z Wang, M Xu Information Fusion 53, 289-304, 2020 | 149 | 2020 |
| Decoder-side HEVC quality enhancement with scalable convolutional neural network R Yang, M Xu, Z Wang 2017 IEEE International Conference on Multimedia and Expo (ICME), 817-822, 2017 | 139 | 2017 |
