| 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 | 229 | 2019 |
| 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 | 224 | 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, 2019 | 218 | 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 | 185 | 2018 |
| 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 | 96 | 2022 |
| DeepVS2. 0: A saliency-structured deep learning method for predicting dynamic visual attention L Jiang, M Xu, Z Wang, L Sigal International Journal of Computer Vision 129 (1), 203-224, 2021 | 93* | 2021 |
| Viewport proposal CNN for 360° video quality assessment C Li, M Xu, L Jiang, S Zhang, X Tao 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2019 | 73* | 2019 |
| Learning to detect video saliency with HEVC features M Xu, L Jiang, X Sun, Z Ye, Z Wang IEEE Transactions on Image Processing 26 (1), 369-385, 2016 | 66 | 2016 |
| 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 | 59 | 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, 2015 | 43 | 2015 |
| Joint learning of multi-level tasks for diabetic retinopathy grading on low-resolution fundus images X Wang, M Xu, J Zhang, L Jiang*, L Li, M He, N Wang, H Liu, Z Wang IEEE Journal of Biomedical and Health Informatics 26 (5), 2216-2227, 2021 | 36 | 2021 |
| NTIRE 2022 challenge on super-resolution and quality enhancement of compressed video: Dataset, methods and results R Yang, R Timofte, M Zheng, Q Xing, M Qiao, M Xu, L Jiang, H Liu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 35 | 2022 |
| Saliency-guided image translation L Jiang, M Xu, X Wang, L Sigal Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 35 | 2021 |
| Deep multi-task learning for diabetic retinopathy grading in fundus images X Wang, M Xu, J Zhang, L Jiang, L Li Proceedings of the AAAI Conference on Artificial Intelligence 35 (4), 2826-2834, 2021 | 28 | 2021 |
| Viewport-based CNN: A multi-task approach for assessing 360° video quality M Xu*, L Jiang*, C Li, Z Wang, X Tao IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (4), 2198-2215, 2020 | 26 | 2020 |
| Image Saliency Prediction in Transformed Domain: A Deep Complex Neural Network Method L Jiang, Z Wang, M Xu, Z Wang Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence 33, 2019 | 24 | 2019 |
| Bottom-up saliency detection with sparse representation of learnt texture atoms M Xu, L Jiang, Z Ye, Z Wang Pattern Recognition 60, 348-360, 2016 | 23 | 2016 |
| Attention-Based Deep Reinforcement Learning for Virtual Cinematography of 360 Videos J Wang, M Xu, L Jiang, Y Song IEEE Transactions on Multimedia 23, 3227-3238, 2020 | 9 | 2020 |
| Does text attract attention on e-commerce images: A novel saliency prediction dataset and method L Jiang, Y Li, S Li, M Xu, S Lei, Y Guo, B Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 8 | 2022 |
| DeepCT: A novel deep complex-valued network with learnable transform for video saliency prediction L Jiang, M Xu, S Zhang, L Sigal Pattern Recognition 102, 107234, 2020 | 8 | 2020 |
Mai XuBeihang Univeristy, Tsinghua Univeristy, Imperial College LondonVerified email at buaa.edu.cn
