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ORCIDLeonidas J. Guibas
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- affiliation: Stanford University, USA
- award (2007): ACM - AAAI Allen Newell Award
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2020 – today
- 2021
[c312]Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas J. Guibas:
Continuous Geodesic Convolutions for Learning on 3D Shapes. WACV 2021: 134-144- [c311]Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman:
Representation Learning Through Latent Canonicalizations. WACV 2021: 645-654 - [i122]Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani:
Where2Act: From Pixels to Actions for Articulated 3D Objects. CoRR abs/2101.02692 (2021) - [i121]Jiahui Huang, He Wang, Tolga Birdal, Minhyuk Sung, Federica Arrigoni, Shi-Min Hu, Leonidas J. Guibas:
MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization. CoRR abs/2101.06605 (2021) - [i120]Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov, Mohamed Elhoseiny, Leonidas J. Guibas:
ArtEmis: Affective Language for Visual Art. CoRR abs/2101.07396 (2021) - [i119]Tolga Birdal, Vladislav Golyanik, Christian Theobalt, Leonidas J. Guibas:
Quantum Permutation Synchronization. CoRR abs/2101.07755 (2021) - [i118]Mikaela Angelina Uy, Vladimir G. Kim, Minhyuk Sung, Noam Aigerman, Siddhartha Chaudhuri, Leonidas J. Guibas:
Joint Learning of 3D Shape Retrieval and Deformation. CoRR abs/2101.07889 (2021) - [i117]Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal:
Weakly Supervised Learning of Rigid 3D Scene Flow. CoRR abs/2102.08945 (2021) - [i116]Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà:
Spectral Unions of Partial Deformable 3D Shapes. CoRR abs/2104.00514 (2021) - [i115]Yijia Weng, He Wang, Qiang Zhou, Yuzhe Qin, Yueqi Duan, Qingnan Fan, Baoquan Chen, Hao Su, Leonidas J. Guibas:
CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds. CoRR abs/2104.03437 (2021) - [i114]Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas J. Guibas:
Vector Neurons: A General Framework for SO(3)-Equivariant Networks. CoRR abs/2104.12229 (2021) - [i113]Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, Leonidas J. Guibas:
HuMoR: 3D Human Motion Model for Robust Pose Estimation. CoRR abs/2105.04668 (2021) - [i112]Ge Zhang, Or Litany, Srinath Sridhar, Leonidas J. Guibas:
StrobeNet: Category-Level Multiview Reconstruction of Articulated Objects. CoRR abs/2105.08016 (2021) - [i111]Wamiq Reyaz Para, Shariq Farooq Bhat, Paul Guerrero, Tom Kelly, Niloy J. Mitra, Leonidas J. Guibas, Peter Wonka:
SketchGen: Generating Constrained CAD Sketches. CoRR abs/2106.02711 (2021) - [i110]Ruihai Wu, Yan Zhao, Kaichun Mo, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas J. Guibas, Hao Dong:
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects. CoRR abs/2106.14440 (2021) - [i109]Kaichun Mo, Yuzhe Qin, Fanbo Xiang, Hao Su, Leonidas J. Guibas:
O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning. CoRR abs/2106.15087 (2021) - [i108]Hong-Xing Yu, Leonidas J. Guibas, Jiajun Wu:
Unsupervised Discovery of Object Radiance Fields. CoRR abs/2107.07905 (2021) - 2020
- [j215]Rickard Brüel Gabrielsson, Vignesh Ganapathi-Subramanian, Primoz Skraba, Leonidas J. Guibas:
Topology-Aware Surface Reconstruction for Point Clouds. Comput. Graph. Forum 39(5): 197-207 (2020) - [j214]Christiane Sommer
, Yumin Sun, Leonidas J. Guibas, Daniel Cremers, Tolga Birdal:
From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds. IEEE Robotics Autom. Lett. 5(2): 1764-1771 (2020) - [j213]Minhyuk Sung, Zhenyu Jiang, Panos Achlioptas, Niloy J. Mitra, Leonidas J. Guibas:
DeformSyncNet: Deformation transfer via synchronized shape deformation spaces. ACM Trans. Graph. 39(6): 261:1-261:16 (2020) - [c310]Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu Max Jiang, Leonidas J. Guibas, Matthias Nießner, Thomas A. Funkhouser:
Adversarial Texture Optimization From RGB-D Scans. CVPR 2020: 1556-1565 - [c309]Tolga Birdal, Michael Arbel, Umut Simsekli, Leonidas J. Guibas:
Synchronizing Probability Measures on Rotations via Optimal Transport. CVPR 2020: 1566-1576 - [c308]Zan Gojcic, Caifa Zhou, Jan D. Wegner, Leonidas J. Guibas, Tolga Birdal:
Learning Multiview 3D Point Cloud Registration. CVPR 2020: 1756-1766 - [c307]Xiaolong Li, He Wang, Li Yi, Leonidas J. Guibas, A. Lynn Abbott, Shuran Song:
Category-Level Articulated Object Pose Estimation. CVPR 2020: 3703-3712 - [c306]Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas:
ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes. CVPR 2020: 4403-4412 - [c305]Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas J. Guibas, Hao Zhang:
AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss. CVPR 2020: 8540-8549 - [c304]Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas:
StructEdit: Learning Structural Shape Variations. CVPR 2020: 8856-8865 - [c303]Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, Hao Su:
SAPIEN: A SimulAted Part-Based Interactive ENvironment. CVPR 2020: 11094-11104 - [c302]Amir Roshan Zamir, Alexander Sax, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, Leonidas J. Guibas:
Robust Learning Through Cross-Task Consistency. CVPR 2020: 11194-11203 - [c301]Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas J. Guibas, Federico Tombari:
Quaternion Equivariant Capsule Networks for 3D Point Clouds. ECCV (1) 2020: 1-19 - [c300]Yueqi Duan, Haidong Zhu, He Wang, Li Yi, Ram Nevatia, Leonidas J. Guibas:
Curriculum DeepSDF. ECCV (8) 2020: 51-67 - [c299]Davis Rempe, Leonidas J. Guibas, Aaron Hertzmann, Bryan C. Russell, Ruben Villegas, Jimei Yang:
Contact and Human Dynamics from Monocular Video. ECCV (5) 2020: 71-87 - [c298]Jiahui Lei, Srinath Sridhar, Paul Guerrero, Minhyuk Sung, Niloy J. Mitra, Leonidas J. Guibas:
Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images. ECCV (18) 2020: 121-138 - [c297]Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas J. Guibas, Slobodan Ilic, Nassir Navab:
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference. ECCV (18) 2020: 139-157 - [c296]Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas J. Guibas, Ron Kimmel:
Towards Precise Completion of Deformable Shapes. ECCV (24) 2020: 359-377 - [c295]Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas J. Guibas:
Deformation-Aware 3D Model Embedding and Retrieval. ECCV (7) 2020: 397-413 - [c294]Panos Achlioptas, Ahmed Abdelreheem, Fei Xia, Mohamed Elhoseiny, Leonidas J. Guibas:
ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes. ECCV (1) 2020: 422-440 - [c293]Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany:
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. ECCV (3) 2020: 574-591 - [c292]Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas J. Guibas:
Learning 3D Part Assembly from a Single Image. ECCV (6) 2020: 664-682 - [c291]Kaichun Mo, He Wang, Xinchen Yan, Leonidas J. Guibas:
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions. ECCV (6) 2020: 683-701 - [c290]Jeffrey O. Zhang, Alexander Sax, Amir Roshan Zamir, Leonidas J. Guibas, Jitendra Malik:
Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks. ECCV (3) 2020: 698-714 - [c289]Trevor Standley, Amir Roshan Zamir, Dawn Chen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Which Tasks Should Be Learned Together in Multi-task Learning? ICML 2020: 9120-9132 - [c288]Chiyu Max Jiang, Jingwei Huang, Andrea Tagliasacchi, Leonidas J. Guibas:
ShapeFlow: Learnable Deformation Flows Among 3D Shapes. NeurIPS 2020 - [c287]Davis Rempe, Tolga Birdal, Yongheng Zhao, Zan Gojcic, Srinath Sridhar, Leonidas J. Guibas:
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations. NeurIPS 2020 - [c286]Guanqi Zhan, Qingnan Fan, Kaichun Mo, Lin Shao, Baoquan Chen, Leonidas J. Guibas, Hao Dong:
Generative 3D Part Assembly via Dynamic Graph Learning. NeurIPS 2020 - [c285]Davis Rempe, Leonidas J. Guibas, Aaron Hertzmann, Bryan C. Russell, Ruben Villegas, Jimei Yang:
Contact and Human Dynamics from Monocular Video. SCA (Showcases) 2020: 3-5 - [c284]Davis Rempe, Srinath Sridhar, He Wang, Leonidas J. Guibas:
Predicting the Physical Dynamics of Unseen 3D Objects. WACV 2020: 2823-2832 - [i107]Zan Gojcic, Caifa Zhou, Jan D. Wegner, Leonidas J. Guibas, Tolga Birdal:
Learning multiview 3D point cloud registration. CoRR abs/2001.05119 (2020) - [i106]Davis Rempe, Srinath Sridhar, He Wang, Leonidas J. Guibas:
Predicting the Physical Dynamics of Unseen 3D Objects. CoRR abs/2001.06291 (2020) - [i105]Christiane Sommer, Yumin Sun, Leonidas J. Guibas, Daniel Cremers, Tolga Birdal:
From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds. CoRR abs/2001.07360 (2020) - [i104]Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas J. Guibas, Ron Kimmel:
The Whole Is Greater Than the Sum of Its Nonrigid Parts. CoRR abs/2001.09650 (2020) - [i103]Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas:
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes. CoRR abs/2001.10692 (2020) - [i102]Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas J. Guibas:
Continuous Geodesic Convolutions for Learning on 3D Shapes. CoRR abs/2002.02506 (2020) - [i101]Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman:
Representation Learning Through Latent Canonicalizations. CoRR abs/2002.11829 (2020) - [i100]Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu Max Jiang, Leonidas J. Guibas, Matthias Nießner, Thomas A. Funkhouser:
Adversarial Texture Optimization from RGB-D Scans. CoRR abs/2003.08400 (2020) - [i99]Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, Hao Su:
SAPIEN: A SimulAted Part-based Interactive ENvironment. CoRR abs/2003.08515 (2020) - [i98]Yueqi Duan, Haidong Zhu, He Wang, Li Yi, Ram Nevatia, Leonidas J. Guibas:
Curriculum DeepSDF. CoRR abs/2003.08593 (2020) - [i97]Kaichun Mo, He Wang, Xinchen Yan, Leonidas J. Guibas:
PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions. CoRR abs/2003.08624 (2020) - [i96]Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas J. Guibas:
Learning 3D Part Assembly from a Single Image. CoRR abs/2003.09754 (2020) - [i95]Tolga Birdal, Michael Arbel, Umut Simsekli, Leonidas J. Guibas:
Synchronizing Probability Measures on Rotations via Optimal Transport. CoRR abs/2004.00663 (2020) - [i94]Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas J. Guibas:
Deformation-Aware 3D Model Embedding and Retrieval. CoRR abs/2004.01228 (2020) - [i93]Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas J. Guibas, Slobodan Ilic, Nassir Navab:
6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference. CoRR abs/2004.04807 (2020) - [i92]Jingwei Huang, Chiyu Max Jiang, Baiqiang Leng, Bin Wang, Leonidas J. Guibas:
MeshODE: A Robust and Scalable Framework for Mesh Deformation. CoRR abs/2005.11617 (2020) - [i91]Jingwei Huang, Yichao Zhou, Leonidas J. Guibas:
ManifoldPlus: A Robust and Scalable Watertight Manifold Surface Generation Method for Triangle Soups. CoRR abs/2005.11621 (2020) - [i90]Amir Roshan Zamir, Alexander Sax, Teresa Yeo, Oguzhan Fatih Kar, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, Leonidas J. Guibas:
Robust Learning Through Cross-Task Consistency. CoRR abs/2006.04096 (2020) - [i89]He Wang, Zetian Jiang, Li Yi, Kaichun Mo, Hao Su, Leonidas J. Guibas:
Rethinking Sampling in 3D Point Cloud Generative Adversarial Networks. CoRR abs/2006.07029 (2020) - [i88]Jialei Huang, Guanqi Zhan, Qingnan Fan, Kaichun Mo, Lin Shao, Baoquan Chen, Leonidas J. Guibas, Hao Dong:
Generative 3D Part Assembly via Dynamic Graph Learning. CoRR abs/2006.07793 (2020) - [i87]Chiyu Max Jiang, Jingwei Huang, Andrea Tagliasacchi, Leonidas J. Guibas:
ShapeFlow: Learnable Deformations Among 3D Shapes. CoRR abs/2006.07982 (2020) - [i86]Shubham Tulsiani, Or Litany, Charles R. Qi, He Wang, Leonidas J. Guibas:
Object-Centric Multi-View Aggregation. CoRR abs/2007.10300 (2020) - [i85]Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany:
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. CoRR abs/2007.10985 (2020) - [i84]Davis Rempe, Leonidas J. Guibas, Aaron Hertzmann, Bryan C. Russell, Ruben Villegas, Jimei Yang:
Contact and Human Dynamics from Monocular Video. CoRR abs/2007.11678 (2020) - [i83]Davis Rempe, Tolga Birdal, Yongheng Zhao, Zan Gojcic, Srinath Sridhar, Leonidas J. Guibas:
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations. CoRR abs/2008.02792 (2020) - [i82]Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao:
DSM-Net: Disentangled Structured Mesh Net for Controllable Generation of Fine Geometry. CoRR abs/2008.05440 (2020) - [i81]Jiahui Lei, Srinath Sridhar, Paul Guerrero, Minhyuk Sung, Niloy J. Mitra, Leonidas J. Guibas:
Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images. CoRR abs/2008.07760 (2020) - [i80]Minhyuk Sung, Zhenyu Jiang, Panos Achlioptas, Niloy J. Mitra, Leonidas J. Guibas:
DeformSyncNet: Deformation Transfer via Synchronized Shape Deformation Spaces. CoRR abs/2009.01456 (2020) - [i79]Ziyi Wu, Yueqi Duan, He Wang, Qingnan Fan, Leonidas J. Guibas:
IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration. CoRR abs/2010.05272 (2020) - [i78]Ali Kashefi, Davis Rempe, Leonidas J. Guibas:
A Point-Cloud Deep Learning Framework for Prediction of Fluid Flow Fields on Irregular Geometries. CoRR abs/2010.09469 (2020) - [i77]Wamiq Reyaz Para, Paul Guerrero, Tom Kelly, Leonidas J. Guibas, Peter Wonka:
Generative Layout Modeling using Constraint Graphs. CoRR abs/2011.13417 (2020) - [i76]Yingda Yin, Qingnan Fan, Fei Xia, Qihang Fang, Siyan Dong, Leonidas J. Guibas, Baoquan Chen:
Active Visual Localization in Partially Calibrated Environments. CoRR abs/2012.04263 (2020) - [i75]He Wang, Yezhen Cong, Or Litany, Yue Gao, Leonidas J. Guibas:
3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection. CoRR abs/2012.04355 (2020) - [i74]Siyan Dong, Qingnan Fan, He Wang, Ji Shi, Li Yi, Thomas A. Funkhouser, Baoquan Chen, Leonidas J. Guibas:
Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments. CoRR abs/2012.04746 (2020) - [i73]Haowen Deng, Mai Bui, Nassir Navab, Leonidas J. Guibas, Slobodan Ilic, Tolga Birdal:
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation. CoRR abs/2012.11002 (2020)
2010 – 2019
- 2019
- [j212]He Wang, Sören Pirk, Ersin Yumer, Vladimir G. Kim, Ozan Sener, Srinath Sridhar, Leonidas J. Guibas:
Learning a Generative Model for Multi-Step Human-Object Interactions from Videos. Comput. Graph. Forum 38(2): 367-378 (2019) - [j211]Omri Azencot, Anastasia Dubrovina, Leonidas J. Guibas:
Consistent Shape Matching via Coupled Optimization. Comput. Graph. Forum 38(5): 13-25 (2019) - [j210]Ruqi Huang, Panos Achlioptas, Leonidas J. Guibas, Maks Ovsjanikov:
Limit Shapes - A Tool for Understanding Shape Differences and Variability in 3D Model Collections. Comput. Graph. Forum 38(5): 187-202 (2019) - [j209]Tal Shnitzer, Mirela Ben-Chen, Leonidas J. Guibas, Ronen Talmon, Hau-Tieng Wu:
Recovering Hidden Components in Multimodal Data with Composite Diffusion Operators. SIAM J. Math. Data Sci. 1(3): 588-616 (2019) - [j208]Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas:
StructureNet: hierarchical graph networks for 3D shape generation. ACM Trans. Graph. 38(6): 242:1-242:19 (2019) - [j207]Yang Li, Dimitrios Gunopulos, Cewu Lu, Leonidas J. Guibas:
Personalized Travel Time Prediction Using a Small Number of Probe Vehicles. ACM Trans. Spatial Algorithms Syst. 5(1): 4:1-4:27 (2019) - [c283]Alexander Sax, Jeffrey O. Zhang, Bradley Emi, Amir Roshan Zamir, Silvio Savarese, Leonidas J. Guibas, Jitendra Malik:
Learning to Navigate Using Mid-Level Visual Priors. CoRL 2019: 791-812 - [c282]Davis Rempe, Srinath Sridhar, He Wang, Leonidas J. Guibas:
Learning Generalizable Final-State Dynamics of 3D Rigid Objects. CVPR Workshops 2019: 17-20 - [c281]Xingyu Liu, Charles R. Qi, Leonidas J. Guibas:
FlowNet3D: Learning Scene Flow in 3D Point Clouds. CVPR 2019: 529-537 - [c280]Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, Hao Su:
PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding. CVPR 2019: 909-918 - [c279]He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song, Leonidas J. Guibas:
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation. CVPR 2019: 2642-2651 - [c278]Lingxiao Li, Minhyuk Sung, Anastasia Dubrovina, Li Yi, Leonidas J. Guibas:
Supervised Fitting of Geometric Primitives to 3D Point Clouds. CVPR 2019: 2652-2660 - [c277]Li Yi, Wang Zhao, He Wang, Minhyuk Sung, Leonidas J. Guibas:
GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud. CVPR 2019: 3947-3956 - [c276]Jingwei Huang, Haotian Zhang, Li Yi, Thomas A. Funkhouser, Matthias Nießner, Leonidas J. Guibas:
TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes. CVPR 2019: 4440-4449 - [c275]Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou, Yao Xie, Leonidas J. Guibas, Qixing Huang:
Learning Transformation Synchronization. CVPR 2019: 8082-8091 - [c274]Michael M. Bronstein, Leonidas J. Guibas, Iasonas Kokkinos, Or Litany, Niloy J. Mitra, Federico Monti, Emanuele Rodolà:
Deep Learning for Computer Graphics and Geometry Processing. Eurographics (Tutorials) 2019: 43 - [c273]Nikolaos Zygouras, Nikolaos Panagiotou, Yang Li, Dimitrios Gunopulos, Leonidas J. Guibas:
HTTE: A Hybrid Technique For Travel Time Estimation In Sparse Data Environments. SIGSPATIAL/GIS 2019: 99-108 - [c272]Raphaël Groscot, Laurent Cohen, Leonidas J. Guibas:
Shape Part Transfer via Semantic Latent Space Factorization. GSI 2019: 511-519 - [c271]William B. Shen, Danfei Xu, Yuke Zhu, Fei-Fei Li, Leonidas J. Guibas, Silvio Savarese:
Situational Fusion of Visual Representation for Visual Navigation. ICCV 2019: 2881-2890 - [c270]Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, François Goulette, Leonidas J. Guibas:
KPConv: Flexible and Deformable Convolution for Point Clouds. ICCV 2019: 6410-6419 - [c269]Anastasia Dubrovina, Fei Xia, Panos Achlioptas, Mira Shalah, Raphaël Groscot, Leonidas J. Guibas:
Composite Shape Modeling via Latent Space Factorization. ICCV 2019: 8139-8148 - [c268]Ruqi Huang, Marie-Julie Rakotosaona, Panos Achlioptas, Leonidas J. Guibas, Maks Ovsjanikov:
OperatorNet: Recovering 3D Shapes From Difference Operators. ICCV 2019: 8587-8596 - [c267]Jingwei Huang, Yichao Zhou, Thomas A. Funkhouser, Leonidas J. Guibas:
FrameNet: Learning Local Canonical Frames of 3D Surfaces From a Single RGB Image. ICCV 2019: 8637-8646 - [c266]Manuel Dahnert, Angela Dai, Leonidas J. Guibas, Matthias Nießner:
Joint Embedding of 3D Scan and CAD Objects. ICCV 2019: 8748-8757 - [c265]Panos Achlioptas, Leonidas J. Guibas, Noah D. Goodman, Judy Fan, Robert X. D. Hawkins:
Shapeglot: Learning Language for Shape Differentiation. ICCV 2019: 8937-8946 - [c264]Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas:
Deep Hough Voting for 3D Object Detection in Point Clouds. ICCV 2019: 9276-9285 - [c263]Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir Roshan Zamir, Leonidas J. Guibas:
An Information-Theoretic Approach to Transferability in Task Transfer Learning. ICIP 2019: 2309-2313 - [c262]Jan Svoboda, Jonathan Masci, Federico Monti, Michael M. Bronstein, Leonidas J. Guibas:
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks. ICLR (Poster) 2019 - [c261]Amir Roshan Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese:
Taskonomy: Disentangling Task Transfer Learning. IJCAI 2019: 6241-6245 - [c260]Leonidas J. Guibas, Qixing Huang, Zhenxiao Liang:
A Condition Number for Joint Optimization of Cycle-Consistent Networks. NeurIPS 2019: 1005-1015 - [c259]Srinath Sridhar, Davis Rempe, Julien Valentin, Sofien Bouaziz, Leonidas J. Guibas:
Multiview Aggregation for Learning Category-Specific Shape Reconstruction. NeurIPS 2019: 2348-2359 - [c258]Niloy J. Mitra, Iasonas Kokkinos, Paul Guerrero, Nils Thuerey, Vladimir G. Kim, Leonidas J. Guibas:
CreativeAI: deep learning for graphics. SIGGRAPH Courses 2019: 8:1-8:265 - [i72]Davis Rempe, Srinath Sridhar, He Wang, Leonidas J. Guibas:
Learning Generalizable Physical Dynamics of 3D Rigid Objects. CoRR abs/1901.00466 (2019) - [i71]Anastasia Dubrovina, Fei Xia, Panos Achlioptas, Mira Shalah, Leonidas J. Guibas:
Composite Shape Modeling via Latent Space Factorization. CoRR abs/1901.02968 (2019) - [i70]He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song, Leonidas J. Guibas:
Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation. CoRR abs/1901.02970 (2019) - [i69]Jun Gao, Chengcheng Tang, Vignesh Ganapathi-Subramanian, Jiahui Huang, Hao Su, Leonidas J. Guibas:
DeepSpline: Data-Driven Reconstruction of Parametric Curves and Surfaces. CoRR abs/1901.03781 (2019) - [i68]Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou, Yao Xie, Leonidas J. Guibas, Qixing Huang:
Learning Transformation Synchronization. CoRR abs/1901.09458 (2019) - [i67]Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas J. Guibas, Hao Zhang:
CoSegNet: Deep Co-Segmentation of 3D Shapes with Group Consistency Loss. CoRR abs/1903.10297 (2019) - [i66]Jingwei Huang, Yichao Zhou, Thomas A. Funkhouser, Leonidas J. Guibas:
FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image. CoRR abs/1903.12305 (2019) - [i65]