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Li Yi
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Cited by
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
62982017
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
33412015
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
7502016
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
4382017
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
3562019
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
2372019
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
1732019
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
1632020
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
1102019
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
95
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
932020
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
772019
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
652021
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
642017
Learning hierarchical shape segmentation and labeling from online repositories
L Yi, L Guibas, A Hertzmann, VG Kim, H Su, E Yumer
arXiv preprint arXiv:1705.01661, 2017
542017
Curriculum deepsdf
Y Duan, H Zhu, H Wang, L Yi, R Nevatia, LJ Guibas
European Conference on Computer Vision, 51-67, 2020
532020
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
502018
3D-assisted feature synthesis for novel views of an object
H Su, F Wang, E Yi, LJ Guibas
Proceedings of the IEEE International Conference on Computer Vision, 2677-2685, 2015
392015
Geonet: Deep geodesic networks for point cloud analysis
T He, H Huang, L Yi, Y Zhou, C Wu, J Wang, S Soatto
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
352019
Image super-resolution via analysis sparse prior
Q Ning, K Chen, L Yi, C Fan, Y Lu, J Wen
IEEE Signal Processing Letters 20 (4), 399-402, 2013
332013
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