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Li Yi
Li Yi
Tsinghua University
Подтвержден адрес электронной почты в домене mail.tsinghua.edu.cn - Главная страница
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Год
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
136052017
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
62312015
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
12922016
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
7922019
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
5552017
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
4962020
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
3752019
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
3292019
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
2352019
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
2262020
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
203
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
1702021
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
160
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
1432022
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
1342019
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
1232023
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
1192020
Dreamllm: Synergistic multimodal comprehension and creation
R Dong, C Han, Y Peng, Z Qi, Z Ge, J Yang, L Zhao, J Sun, H Zhou, H Wei, ...
arXiv preprint arXiv:2309.11499, 2023
1122023
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
1102018
Unidexgrasp: Universal robotic dexterous grasping via learning diverse proposal generation and goal-conditioned policy
Y Xu, W Wan, J Zhang, H Liu, Z Shan, H Shen, R Wang, H Geng, Y Weng, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
982023
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