Obserwuj
Leonidas Guibas
Leonidas Guibas
Professor of Computer Science, Stanford University
Zweryfikowany adres z cs.stanford.edu
Tytuł
Cytowane przez
Cytowane przez
Rok
Pointnet: Deep learning on point sets for 3d classification and segmentation
CR Qi, H Su, K Mo, LJ Guibas
Proceedings of the IEEE conference on computer vision and pattern …, 2017
154222017
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
128612017
The earth mover's distance as a metric for image retrieval
Y Rubner, C Tomasi, LJ Guibas
International journal of computer vision 40, 99-121, 2000
67042000
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
59602015
PointNet: Deep learning on point sets for 3D classification and segmentation
RQ Charles, H Su, M Kaichun, LJ Guibas
2017 IEEE conference on computer vision and pattern recognition (CVPR), 77-85, 2017
31142017
Kpconv: Flexible and deformable convolution for point clouds
H Thomas, CR Qi, JE Deschaud, B Marcotegui, F Goulette, LJ Guibas
Proceedings of the IEEE/CVF international conference on computer vision …, 2019
29522019
Frustum pointnets for 3d object detection from rgb-d data
CR Qi, W Liu, C Wu, H Su, LJ Guibas
Proceedings of the IEEE conference on computer vision and pattern …, 2018
29152018
A point set generation network for 3d object reconstruction from a single image
H Fan, H Su, LJ Guibas
Proceedings of the IEEE conference on computer vision and pattern …, 2017
25692017
A metric for distributions with applications to image databases
Y Rubner, C Tomasi, LJ Guibas
Sixth international conference on computer vision (IEEE Cat. No. 98CH36271 …, 1998
24201998
Primitives for the manipulation of general subdivisions and the computation of Voronoi
L Guibas, J Stolfi
ACM transactions on graphics (TOG) 4 (2), 74-123, 1985
21461985
Wireless sensor networks: an information processing approach
F Zhao, LJ Guibas
Morgan Kaufmann, 2004
20742004
Volumetric and multi-view cnns for object classification on 3d data
CR Qi, H Su, M Nießner, A Dai, M Yan, LJ Guibas
Proceedings of the IEEE conference on computer vision and pattern …, 2016
19922016
Handbook of discrete and computational geometry
CD Toth, J O'Rourke, JE Goodman
CRC press, 2017
19662017
A concise and provably informative multi‐scale signature based on heat diffusion
J Sun, M Ovsjanikov, L Guibas
Computer graphics forum 28 (5), 1383-1392, 2009
19642009
Learning representations and generative models for 3d point clouds
P Achlioptas, O Diamanti, I Mitliagkas, L Guibas
International conference on machine learning, 40-49, 2018
16192018
Deep knowledge tracing
C Piech, J Bassen, J Huang, S Ganguli, M Sahami, LJ Guibas, ...
Advances in neural information processing systems 28, 2015
15992015
Taskonomy: Disentangling task transfer learning
AR Zamir, A Sax, W Shen, LJ Guibas, J Malik, S Savarese
Proceedings of the IEEE conference on computer vision and pattern …, 2018
14472018
Deep hough voting for 3d object detection in point clouds
CR Qi, O Litany, K He, LJ Guibas
proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
14382019
Efficient geometry-aware 3d generative adversarial networks
ER Chan, CZ Lin, MA Chan, K Nagano, B Pan, S De Mello, O Gallo, ...
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
12662022
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
12452016
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