Grains: Generative recursive autoencoders for indoor scenes M Li, AG Patil, K Xu, S Chaudhuri, O Khan, A Shamir, C Tu, B Chen, ... ACM Transactions on Graphics (TOG) 38 (2), 1-16, 2019 | 153 | 2019 |
Language-driven synthesis of 3D scenes from scene databases R Ma, AG Patil, M Fisher, M Li, S Pirk, BS Hua, SK Yeung, X Tong, ... ACM Transactions on Graphics (TOG) 37 (6), 1-16, 2018 | 59 | 2018 |
D2im-net: Learning detail disentangled implicit fields from single images M Li, H Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 35 | 2021 |
Layoutgmn: Neural graph matching for structural layout similarity AG Patil, M Li, M Fisher, M Savva, H Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 17 | 2021 |
CAPRI-Net: learning compact CAD shapes with adaptive primitive assembly F Yu, Z Chen, M Li, A Sanghi, H Shayani, A Mahdavi-Amiri, H Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 16 | 2022 |
Game-based mobile learning system for campus on android platform L Wang, X Wang, Q Ju, Q Li, M Li, W Zhang Edutainment Technologies. Educational Games and Virtual Reality/Augmented …, 2011 | 10 | 2011 |
Sparse RBF surface representations M Li, F Chen, W Wang, C Tu Computer Aided Geometric Design 48, 49-59, 2016 | 5 | 2016 |
RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures C Niu, M Li, K Xu, H Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 2 | 2022 |
Class-sensitive shape dissimilarity metric M Li, N Fish, L Cheng, C Tu, D Cohen-Or, H Zhang, B Chen Graphical Models 98, 33-42, 2018 | 2 | 2018 |