| SurfaceNet: An End-to-end 3D Neural Network for Multiview Stereopsis M Ji, J Gall, H Zheng, Y Liu, L Fang Proceedings of the IEEE International Conference on Computer Vision, 2307-2315, 2017 | 453 | 2017 |
| Crossnet: An end-to-end reference-based super resolution network using cross-scale warping H Zheng, M Ji, H Wang, Y Liu, L Fang Proceedings of the European conference on computer vision (ECCV), 88-104, 2018 | 242 | 2018 |
| Deep learning for surface material classification using haptic and visual information H Zheng, L Fang, M Ji, M Strese, Y Özer, E Steinbach IEEE Transactions on Multimedia 18 (12), 2407-2416, 2016 | 133 | 2016 |
| Learning Cross-scale Correspondence and Patch-based Synthesis for Reference-based Super-Resolution. H Zheng, M Ji, L Han, Z Xu, H Wang, Y Liu, L Fang BMVC 1, 2, 2017 | 70 | 2017 |
| A modular hierarchical array camera X Yuan, M Ji, J Wu, DJ Brady, Q Dai, L Fang Light: Science & Applications (Nature LSA, Cover Paper) 10 (1), 1-9, 2021 | 39 | 2021 |
| SurfaceNet+: An End-to-end 3D Neural Network for Very Sparse Multi-view Stereopsis M Ji*, J Zhang*, Q Dai, L Fang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 33 | 2020 |
| Local stereo matching with adaptive shape support window based cost aggregation Y Xu, Y Zhao, M Ji Applied optics 53 (29), 6885-6892, 2014 | 31 | 2014 |
| A Learning-Based Model to Evaluate Hospitalization Priority in COVID-19 Pandemics Y Zheng*, Y Zhu*, M Ji, R Wang, X Liu, M Zhang, J Liu, X Zhang, CH Qin, ... Cell Patterns 1 (6), 100092, 2020 | 28 | 2020 |
| Preprocessing-free surface material classification using convolutional neural networks pretrained by sparse autoencoder M Ji, L Fang, H Zheng, M Strese, E Steinbach 2015 IEEE 25th International Workshop on Machine Learning for Signal …, 2015 | 26 | 2015 |
| Regnet: Learning the optimization of direct image-to-image pose registration L Han, M Ji, L Fang, M Nießner arXiv preprint arXiv:1812.10212, 2018 | 21 | 2018 |
| Augmenting Vascular Disease Diagnosis by Vasculature-aware Unsupervised Learning Y WANG*, M JI*, S JIANG*, X WANG, J WU, F DUAN, J FAN, L HUANG, ... Nature Machine Intelligence 2 (6), 337-346, 2020 | 19 | 2020 |
| GigaMVS: a benchmark for ultra-large-scale gigapixel-level 3D reconstruction J Zhang, J Zhang, S Mao, M Ji, G Wang, Z Chen, T Zhang, X Yuan, Q Dai, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 7534 …, 2021 | 17 | 2021 |
| Learning high-level prior with convolutional neural networks for semantic segmentation H Zheng, Y Liu, M Ji, F Wu, L Fang arXiv preprint arXiv:1511.06988, 2015 | 11 | 2015 |
| SurRF: Unsupervised multi-view stereopsis by learning surface radiance field J Zhang, M Ji, G Wang, Z Xue, S Wang, L Fang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 7912 …, 2021 | 10 | 2021 |
| EFENet: Reference-based video super-resolution with enhanced flow estimation Y Zhao, M Ji, R Huang, B Wang, S Wang Artificial Intelligence: First CAAI International Conference, CICAI 2021 …, 2021 | 10 | 2021 |
| Zoom in to the details of human-centric videos G Li, Y Zhao, M Ji, X Yuan, L Fang 2020 IEEE International Conference on Image Processing (ICIP), 3089-3093, 2020 | 7 | 2020 |
| SPI-Optimizer: An Integral-Separated PI Controller for Stochastic Optimization D Wang*, M Ji*, Y Wang, H Wang, L Fang 2019 IEEE International Conference on Image Processing (ICIP), 2129-2133, 2019 | 7 | 2019 |
| A comprehensive study on digital image matting H Yang, OC Au, J Zeng, M Ji, Y Yuan, SP Jaiswal 2014 IEEE China Summit & International Conference on Signal and Information …, 2014 | 7 | 2014 |
| Surface material perception through multimodal learning S Mao, M Ji, B Wang, Q Dai, L Fang IEEE Journal of Selected Topics in Signal Processing 16 (4), 843-853, 2022 | 6 | 2022 |
| Cross-camera deep colorization Y Zhao, H Zheng, M Ji, R Huang CAAI International Conference on Artificial Intelligence, 3-17, 2022 | 5 | 2022 |
Lu FANGTsinghua UniversityVerified email at tsinghua.edu.cn
