Artigos com autorizações de acesso público - Leonidas GuibasSaiba mais
1 artigo não disponível publicamente
Consistent shape matching via coupled optimization
O Azencot, A Dubrovina, L Guibas
Computer Graphics Forum 38 (5), 13-25, 2019
Autorizações: US National Science Foundation, US Department of Defense, European Commission
183 artigos disponíveis publicamente
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
Autorizações: US National Science Foundation, US Department of Defense
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
Autorizações: US National Science Foundation, US Department of Defense
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
Autorizações: US National Science Foundation, US Department of Defense
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
Autorizações: US National Science Foundation, US Department of Defense
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
Autorizações: US National Science Foundation, US Department of Defense
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
Autorizações: US National Science Foundation
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
Autorizações: US National Science Foundation
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
Autorizações: US National Institutes of Health
Deep knowledge tracing
C Piech, J Bassen, J Huang, S Ganguli, M Sahami, LJ Guibas, ...
Advances in neural information processing systems 28, 2015
Autorizações: National Natural Science Foundation of China
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
Autorizações: US National Science Foundation, US Department of Defense
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
Autorizações: US National Science Foundation, US Department of Defense
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
Autorizações: US National Science Foundation, US Department of Defense
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
Autorizações: US Department of Defense
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
Autorizações: US National Science Foundation, Natural Sciences and Engineering Research …
Normalized object coordinate space for category-level 6d object pose and size estimation
H Wang, S Sridhar, J Huang, J Valentin, S Song, LJ Guibas
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Autorizações: US National Science Foundation, US Department of Defense
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
Autorizações: US National Science Foundation, US Department of Defense
Convolutional wasserstein distances: Efficient optimal transportation on geometric domains
J Solomon, F De Goes, G Peyré, M Cuturi, A Butscher, A Nguyen, T Du, ...
ACM Transactions on Graphics (ToG) 34 (4), 1-11, 2015
Autorizações: European Commission
Pointcontrast: Unsupervised pre-training for 3d point cloud understanding
S Xie, J Gu, D Guo, CR Qi, L Guibas, O Litany
Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020
Autorizações: US National Science Foundation, US Department of Defense
Which tasks should be learned together in multi-task learning?
T Standley, A Zamir, D Chen, L Guibas, J Malik, S Savarese
International conference on machine learning, 9120-9132, 2020
Autorizações: US National Science Foundation, US Department of Defense
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