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Li Yi
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Year
Pointnet++: Deep hierarchical feature learning on point sets in a metric space
CR Qi, L Yi, H Su, LJ Guibas
Advances in neural information processing systems 30, 2017
115202017
Shapenet: An information-rich 3d model repository
AX Chang, T Funkhouser, L Guibas, P Hanrahan, Q Huang, Z Li, ...
arXiv preprint arXiv:1512.03012, 2015
54732015
A scalable active framework for region annotation in 3d shape collections
L Yi, VG Kim, D Ceylan, IC Shen, M Yan, H Su, C Lu, Q Huang, A Sheffer, ...
ACM Transactions on Graphics (ToG) 35 (6), 1-12, 2016
11672016
Partnet: A large-scale benchmark for fine-grained and hierarchical part-level 3d object understanding
K Mo, S Zhu, AX Chang, L Yi, S Tripathi, LJ Guibas, H Su
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
6872019
Syncspeccnn: Synchronized spectral cnn for 3d shape segmentation
L Yi, H Su, X Guo, LJ Guibas
Proceedings of the IEEE conference on computer vision and pattern …, 2017
5322017
Sapien: A simulated part-based interactive environment
F Xiang, Y Qin, K Mo, Y Xia, H Zhu, F Liu, M Liu, H Jiang, Y Yuan, H Wang, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
3992020
Gspn: Generative shape proposal network for 3d instance segmentation in point cloud
L Yi, W Zhao, H Wang, M Sung, LJ Guibas
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019
3502019
Structurenet: Hierarchical graph networks for 3d shape generation
K Mo, P Guerrero, L Yi, H Su, P Wonka, N Mitra, LJ Guibas
arXiv preprint arXiv:1908.00575, 2019
3012019
Supervised fitting of geometric primitives to 3d point clouds
L Li, M Sung, A Dubrovina, L Yi, LJ Guibas
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
2012019
Category-level articulated object pose estimation
X Li, H Wang, L Yi, LJ Guibas, AL Abbott, S Song
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
1842020
Shapenet: An information-rich 3d model repository. arXiv 2015
AX Chang, T Funkhouser, L Guibas, P Hanrahan, Q Huang, Z Li, ...
arXiv preprint arXiv:1512.03012, 0
163
Pointnet++: Deep hierarchical feature learning on point sets in a metric space. arXiv 2017
CR Qi, L Yi, H Su, LJ Guibas
arXiv preprint arXiv:1706.02413, 0
147
Complete & label: A domain adaptation approach to semantic segmentation of lidar point clouds
L Yi, B Gong, T Funkhouser
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021
1452021
Texturenet: Consistent local parametrizations for learning from high-resolution signals on meshes
J Huang, H Zhang, L Yi, T Funkhouser, M Nießner, LJ Guibas
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1252019
HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction
Y Liu, Y Liu, C Jiang, K Lyu, W Wan, H Shen, B Liang, Z Fu, H Wang, L Yi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
1042022
Curriculum deepsdf
Y Duan, H Zhu, H Wang, L Yi, R Nevatia, LJ Guibas
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
1032020
Deep part induction from articulated object pairs
L Yi, H Huang, D Liu, E Kalogerakis, H Su, L Guibas
arXiv preprint arXiv:1809.07417, 2018
962018
Contrast with reconstruct: Contrastive 3d representation learning guided by generative pretraining
Z Qi, R Dong, G Fan, Z Ge, X Zhang, K Ma, L Yi
International Conference on Machine Learning, 28223-28243, 2023
712023
Large-scale 3d shape reconstruction and segmentation from shapenet core55
L Yi, L Shao, M Savva, H Huang, Y Zhou, Q Wang, B Graham, M Engelcke, ...
arXiv preprint arXiv:1710.06104, 2017
712017
Autoencoders as cross-modal teachers: Can pretrained 2d image transformers help 3d representation learning?
R Dong, Z Qi, L Zhang, J Zhang, J Sun, Z Ge, L Yi, K Ma
arXiv preprint arXiv:2212.08320, 2022
652022
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