Li Yi
標題引用次數年份
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
9382015
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, 5099-5108, 2017
8902017
A scalable active framework for region annotation in 3d shape collections
L Yi, VG Kim, D Ceylan, I Shen, M Yan, H Su, C Lu, Q Huang, A Sheffer, ...
ACM Transactions on Graphics (TOG) 35 (6), 210, 2016
1762016
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
1662017
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
302015
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
282013
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
232017
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
192017
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 Conference on Computer Vision and Pattern …, 2019
182019
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 Conference on Computer Vision and Pattern …, 2019
162019
Supervised fitting of geometric primitives to 3d point clouds
L Li, M Sung, A Dubrovina, L Yi, LJ Guibas
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
92019
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 Conference on Computer Vision and Pattern …, 2019
82019
Deep part induction from articulated object pairs
L Yi, H Huang, D Liu, E Kalogerakis, H Su, L Guibas
ACM Transactions on Graphics (TOG) 37 (6), 209, 2019
62019
Beyond holistic object recognition: Enriching image understanding with part states
C Lu, H Su, Y Li, Y Lu, L Yi, CK Tang, LJ Guibas
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
62018
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
42019
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 Conference on Computer Vision and Pattern …, 2019
42019
CoSegNet: Deep Co-Segmentation of 3D Shapes with Group Consistency Loss
C Zhu, K Xu, S Chaudhuri, L Yi, L Guibas, H Zhang
arXiv preprint arXiv:1903.10297, 2019
22019
StructEdit: Learning Structural Shape Variations
K Mo, P Guerrero, L Yi, H Su, P Wonka, N Mitra, LJ Guibas
arXiv preprint arXiv:1911.11098, 2019
2019
Segmenting three-dimensional shapes into labeled component shapes
V Kim, A Hertzmann, M Yumer, L Yi
US Patent 10,467,760, 2019
2019
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud–Supplementary Material
L Yi, W Zhao, H Wang, M Sung, L Guibas
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