Leonidas J. Guibas

ORCID

Publication Activity (10 Years)

Years Active: 1974-2024
Publications (10 Years): 388

Top Venues

Publications

Xinglong Sun, Adam W. Harley, Leonidas J. Guibas
Refining Pre-Trained Motion Models. ICRA (2024)
Sara Sabour, Lily Goli, George Kopanas, Mark J. Matthews, Dmitry Lagun, Leonidas J. Guibas, Alec Jacobson, David J. Fleet, Andrea Tagliasacchi
SpotlessSplats: Ignoring Distractors in 3D Gaussian Splatting. CoRR (2024)
Haodi He, Colton Stearns, Adam W. Harley, Leonidas J. Guibas
View-Consistent Hierarchical 3D SegmentationUsing Ultrametric Feature Fields. CoRR (2024)
Boxiao Pan, Zhan Xu, Chun-Hao Paul Huang, Krishna Kumar Singh, Yang Zhou, Leonidas J. Guibas, Jimei Yang
ActAnywhere: Subject-Aware Video Background Generation. CoRR (2024)
Colton Stearns, Adam W. Harley, Mikaela Uy, Florian Dubost, Federico Tombari, Gordon Wetzstein, Leonidas J. Guibas
Dynamic Gaussian Marbles for Novel View Synthesis of Casual Monocular Videos. CoRR (2024)
Xinle Cheng, Congyue Deng, Adam W. Harley, Yixin Zhu, Leonidas J. Guibas
Zero-Shot Image Feature Consensus with Deep Functional Maps. CoRR (2024)
Jia-Mu Sun, Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao
Haisor: Human-aware Indoor Scene Optimization via Deep Reinforcement Learning. ACM Trans. Graph. 43 (2) (2024)
Ian Huang, Guandao Yang, Leonidas J. Guibas
BlenderAlchemy: Editing 3D Graphics with Vision-Language Models. CoRR (2024)
Wen-Hsuan Chu, Adam W. Harley, Pavel Tokmakov, Achal Dave, Leonidas J. Guibas, Katerina Fragkiadaki
Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models. ICRA (2024)
Jingyun Yang, Congyue Deng, Jimmy Wu, Rika Antonova, Leonidas J. Guibas, Jeannette Bohg
EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation. ICRA (2024)
Boyang Deng, Richard Tucker, Zhengqi Li, Leonidas J. Guibas, Noah Snavely, Gordon Wetzstein
Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion. CoRR (2024)
Bokui Shen, Zhenyu Jiang, Christopher Bongsoo Choy, Silvio Savarese, Leonidas J. Guibas, Anima Anandkumar, Yuke Zhu
Action-conditional implicit visual dynamics for deformable object manipulation. Int. J. Robotics Res. 43 (4) (2024)
Yijia Weng, Bowen Wen, Jonathan Tremblay, Valts Blukis, Dieter Fox, Leonidas J. Guibas, Stan Birchfield
Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects. CoRR (2024)
Tong Wu, Guandao Yang, Zhibing Li, Kai Zhang, Ziwei Liu, Leonidas J. Guibas, Dahua Lin, Gordon Wetzstein
GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation. CoRR (2024)
Songlin Li, Despoina Paschalidou, Leonidas J. Guibas
PASTA: Controllable Part-Aware Shape Generation with Autoregressive Transformers. CoRR (2024)
Zilu Li, Guandao Yang, Qingqing Zhao, Xi Deng, Leonidas J. Guibas, Bharath Hariharan, Gordon Wetzstein
Neural Control Variates with Automatic Integration. SIGGRAPH (Conference Paper Track) (2024)
Xinglong Sun, Adam W. Harley, Leonidas J. Guibas
Refining Pre-Trained Motion Models. CoRR (2024)
Zhengfei Kuang, Shengqu Cai, Hao He, Yinghao Xu, Hongsheng Li, Leonidas J. Guibas, Gordon Wetzstein
Collaborative Video Diffusion: Consistent Multi-video Generation with Camera Control. CoRR (2024)
Yunchao Zhang, Guandao Yang, Leonidas J. Guibas, Yanchao Yang
InfoGaussian: Structure-Aware Dynamic Gaussians through Lightweight Information Shaping. CoRR (2024)
Qianxu Wang, Haotong Zhang, Congyue Deng, Yang You, Hao Dong, Yixin Zhu, Leonidas J. Guibas
SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation. ICLR (2024)
Mohamed El Banani, Amit Raj, Kevis-Kokitsi Maninis, Abhishek Kar, Yuanzhen Li, Michael Rubinstein, Deqing Sun, Leonidas J. Guibas, Justin Johnson, Varun Jampani
Probing the 3D Awareness of Visual Foundation Models. CoRR (2024)
Yang Zheng, Qingqing Zhao, Guandao Yang, Wang Yifan, Donglai Xiang, Florian Dubost, Dmitry Lagun, Thabo Beeler, Federico Tombari, Leonidas J. Guibas, Gordon Wetzstein
PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations. CoRR (2024)
Yuxuan Kuang, Junjie Ye, Haoran Geng, Jiageng Mao, Congyue Deng, Leonidas J. Guibas, He Wang, Yue Wang
RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation. CoRR (2024)
Jiahui Lei, Yijia Weng, Adam W. Harley, Leonidas J. Guibas, Kostas Daniilidis
MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds. CoRR (2024)
Kiyohiro Nakayama, Mikaela Angelina Uy, Yang You, Ke Li, Leonidas J. Guibas
ProvNeRF: Modeling per Point Provenance in NeRFs as a Stochastic Process. CoRR (2024)
Francis Engelmann, Ayça Takmaz, Jonas Schult, Elisabetta Fedele, Johanna Wald, Songyou Peng, Xi Wang, Or Litany, Siyu Tang, Federico Tombari, Marc Pollefeys, Leonidas J. Guibas, Hongbo Tian, Chunjie Wang, Xiaosheng Yan, Bingwen Wang, Xuanyang Zhang, Xiao Liu, Phuc Nguyen, Khoi Nguyen, Anh Tran, Cuong Pham, Zhening Huang, Xiaoyang Wu, Xi Chen, Hengshuang Zhao, Lei Zhu, Joan Lasenby
OpenSUN3D: 1st Workshop Challenge on Open-Vocabulary 3D Scene Understanding. CoRR (2024)
Boyang Deng, Richard Tucker, Zhengqi Li, Leonidas J. Guibas, Noah Snavely, Gordon Wetzstein
Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion. SIGGRAPH (Conference Paper Track) (2024)
Nicolas Ugrinovic, Boxiao Pan, Georgios Pavlakos, Despoina Paschalidou, Bokui Shen, Jordi Sanchez-Riera, Francesc Moreno-Noguer, Leonidas J. Guibas
MultiPhys: Multi-Person Physics-aware 3D Motion Estimation. CoRR (2024)
Hansheng Chen, Ruoxi Shi, Yulin Liu, Bokui Shen, Jiayuan Gu, Gordon Wetzstein, Hao Su, Leonidas J. Guibas
Generic 3D Diffusion Adapter Using Controlled Multi-View Editing. CoRR (2024)
Boyuan Chen, Zhuo Xu, Sean Kirmani, Brian Ichter, Danny Driess, Pete Florence, Dorsa Sadigh, Leonidas J. Guibas, Fei Xia
SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities. CoRR (2024)
Mikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang, Rahul Krishna Thomas, Leonidas J. Guibas, Ke Li
NeRF Revisited: Fixing Quadrature Instability in Volume Rendering. NeurIPS (2023)
Ian Huang, Vrishab Krishna, Omoruyi Atekha, Leonidas J. Guibas
Aladdin: Zero-Shot Hallucination of Stylized 3D Assets from Abstract Scene Descriptions. CoRR (2023)
Nilesh Kulkarni, Davis Rempe, Kyle Genova, Abhijit Kundu, Justin Johnson, David Fouhey, Leonidas J. Guibas
NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis. CoRR (2023)
Kiyohiro Nakayama, Mikaela Angelina Uy, Jiahui Huang, Shi-Min Hu, Ke Li, Leonidas J. Guibas
DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion. CoRR (2023)
Colton Stearns, Jiateng Liu, Davis Rempe, Despoina Paschalidou, Jeong Joon Park, Sebastien Mascha, Leonidas J. Guibas
CurveCloudNet: Processing Point Clouds with 1D Structure. CoRR (2023)
Xiaomeng Xu, Yanchao Yang, Kaichun Mo, Boxiao Pan, Li Yi, Leonidas J. Guibas
JacobiNeRF: NeRF Shaping with Mutual Information Gradients. CVPR (2023)
Ali Kashefi, Leonidas J. Guibas, Tapan Mukerji
Physics-informed PointNet: On how many irregular geometries can it solve an inverse problem simultaneously? Application to linear elasticity. CoRR (2023)
Mikaela Angelina Uy, Kiyohiro Nakayama, Guandao Yang, Rahul Krishna Thomas, Leonidas J. Guibas, Ke Li
NeRF Revisited: Fixing Quadrature Instability in Volume Rendering. CoRR (2023)
Congyue Deng, Jiahui Lei, Bokui Shen, Kostas Daniilidis, Leonidas J. Guibas
Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance. CoRR (2023)
Connor Z. Lin, Koki Nagano, Jan Kautz, Eric R. Chan, Umar Iqbal, Leonidas J. Guibas, Gordon Wetzstein, Sameh Khamis
Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization. SIGGRAPH (Conference Paper Track) (2023)
Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas J. Guibas, Andrea Tagliasacchi
CC3D: Layout-Conditioned Generation of Compositional 3D Scenes. ICCV (2023)
George Kiyohiro Nakayama, Mikaela Angelina Uy, Jiahui Huang, Shi-Min Hu, Ke Li, Leonidas J. Guibas
DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion. ICCV (2023)
Mikaela Angelina Uy, Ricardo Martin-Brualla, Leonidas J. Guibas, Ke Li
SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates. CVPR (2023)
Jiahui Huang, Tolga Birdal, Zan Gojcic, Leonidas J. Guibas, Shi-Min Hu
Multiway Non-Rigid Point Cloud Registration via Learned Functional Map Synchronization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Kunho Kim, Mikaela Angelina Uy, Despoina Paschalidou, Alec Jacobson, Leonidas J. Guibas, Minhyuk Sung
OptCtrlPoints: Finding the Optimal Control Points for Biharmonic 3D Shape Deformation. CoRR (2023)
Boxiao Pan, Bokui Shen, Davis Rempe, Despoina Paschalidou, Kaichun Mo, Yanchao Yang, Leonidas J. Guibas
COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos. ICCV (2023)
Ziyu Wan, Despoina Paschalidou, Ian Huang, Hongyu Liu, Bokui Shen, Xiaoyu Xiang, Jing Liao, Leonidas J. Guibas
CAD: Photorealistic 3D Generation via Adversarial Distillation. CoRR (2023)
Xiaoshuai Zhang, Abhijit Kundu, Thomas A. Funkhouser, Leonidas J. Guibas, Hao Su, Kyle Genova
Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision. CVPR (2023)
Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao
DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation. ACM Trans. Graph. 42 (1) (2023)
Sherwin Bahmani, Ivan Skorokhodov, Victor Rong, Gordon Wetzstein, Leonidas J. Guibas, Peter Wonka, Sergey Tulyakov, Jeong Joon Park, Andrea Tagliasacchi, David B. Lindell
4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling. CoRR (2023)
Lin Gao, Jia-Mu Sun, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Jie Yang
SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation with Fine-Grained Geometry. CoRR (2023)
Qiuhong Anna Wei, Sijie Ding, Jeong Joon Park, Rahul Sajnani, Adrien Poulenard, Srinath Sridhar, Leonidas J. Guibas
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms. CoRR (2023)
Jiahui Lei, Congyue Deng, Karl Schmeckpeper, Leonidas J. Guibas, Kostas Daniilidis
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision. CVPR (2023)
Haoran Geng, Songlin Wei, Congyue Deng, Bokui Shen, He Wang, Leonidas J. Guibas
SAGE: Bridging Semantic and Actionable Parts for GEneralizable Articulated-Object Manipulation under Language Instructions. CoRR (2023)
Konstantinos Tertikas, Despoina Paschalidou, Boxiao Pan, Jeong Joon Park, Mikaela Angelina Uy, Ioannis Z. Emiris, Yannis Avrithis, Leonidas J. Guibas
Generating Part-Aware Editable 3D Shapes without 3D Supervision. CVPR (2023)
Congyue Deng, Jiawei Yang, Leonidas J. Guibas, Yue Wang
Rethinking Directional Integration in Neural Radiance Fields. CoRR (2023)
Bingfan Zhu, Yanchao Yang, Xulong Wang, Youyi Zheng, Leonidas J. Guibas
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization. CoRR (2023)
Congyue Deng, Jiahui Lei, William B. Shen, Kostas Daniilidis, Leonidas J. Guibas
Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance. NeurIPS (2023)
Connor Z. Lin, Koki Nagano, Jan Kautz, Eric R. Chan, Umar Iqbal, Leonidas J. Guibas, Gordon Wetzstein, Sameh Khamis
Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization. CoRR (2023)
Nikolaos Zygouras, Nikolaos Panagiotou, Yang Li, Dimitrios Gunopulos, Leonidas J. Guibas
HTTE: A Hybrid Technique For Travel Time Estimation In Sparse Data Environments. CoRR (2023)
Panos Achlioptas, Ian Huang, Minhyuk Sung, Sergey Tulyakov, Leonidas J. Guibas
ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations. CVPR (2023)
Wen-Hsuan Chu, Adam W. Harley, Pavel Tokmakov, Achal Dave, Leonidas J. Guibas, Katerina Fragkiadaki
Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models. CoRR (2023)
Ivica Kicic, Pantelis R. Vlachas, Georgios Arampatzis, Michail Chatzimanolakis, Leonidas J. Guibas, Petros Koumoutsakos
Adaptive learning of effective dynamics: Adaptive real-time, online modeling for complex systems. CoRR (2023)
Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Hao Tang, Gordon Wetzstein, Leonidas J. Guibas, Luc Van Gool, Radu Timofte
3D-Aware Video Generation. Trans. Mach. Learn. Res. 2023 (2023)
Yang You, Bokui Shen, Congyue Deng, Haoran Geng, He Wang, Leonidas J. Guibas
Make a Donut: Language-Guided Hierarchical EMD-Space Planning for Zero-shot Deformable Object Manipulation. CoRR (2023)
Congyue Deng, Chiyu Max Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas J. Guibas, Dragomir Anguelov
NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors. CVPR (2023)
Panos Achlioptas, Maks Ovsjanikov, Leonidas J. Guibas, Sergey Tulyakov
Affection: Learning Affective Explanations for Real-World Visual Data. CVPR (2023)
Yijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang, Leonidas J. Guibas
Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks. ICML (2023)
Yichen Li, Kaichun Mo, Yueqi Duan, He Wang, Jiequan Zhang, Lin Shao, Wojciech Matusik, Leonidas J. Guibas
Category-Level Multi-Part Multi-Joint 3D Shape Assembly. CoRR (2023)
Carlota Parés-Morlans, Claire Chen, Yijia Weng, Michelle Yi, Yuying Huang, Nick Heppert, Linqi Zhou, Leonidas J. Guibas, Jeannette Bohg
AO-Grasp: Articulated Object Grasp Generation. CoRR (2023)
Xiaomeng Xu, Yanchao Yang, Kaichun Mo, Boxiao Pan, Li Yi, Leonidas J. Guibas
JacobiNeRF: NeRF Shaping with Mutual Information Gradients. CoRR (2023)
Konstantinos Tertikas, Despoina Paschalidou, Boxiao Pan, Jeong Joon Park, Mikaela Angelina Uy, Ioannis Z. Emiris, Yannis Avrithis, Leonidas J. Guibas
PartNeRF: Generating Part-Aware Editable 3D Shapes without 3D Supervision. CoRR (2023)
Kunho Kim, Mikaela Angelina Uy, Despoina Paschalidou, Alec Jacobson, Leonidas J. Guibas, Minhyuk Sung
OptCtrlPoints: Finding the Optimal Control Points for Biharmonic 3D Shape Deformation. Comput. Graph. Forum 42 (7) (2023)
Xiaoshuai Zhang, Abhijit Kundu, Thomas A. Funkhouser, Leonidas J. Guibas, Hao Su, Kyle Genova
Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision. CoRR (2023)
Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov
GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. CVPR (2023)
Yang Zheng, Adam W. Harley, Bokui Shen, Gordon Wetzstein, Leonidas J. Guibas
PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking. ICCV (2023)
Zhen Wang, Shijie Zhou, Jeong Joon Park, Despoina Paschalidou, Suya You, Gordon Wetzstein, Leonidas J. Guibas, Achuta Kadambi
ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction. CVPR (2023)
Yang Zheng, Adam W. Harley, Bokui Shen, Gordon Wetzstein, Leonidas J. Guibas
PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking. CoRR (2023)
Jiahui Lei, Congyue Deng, William B. Shen, Leonidas J. Guibas, Kostas Daniilidis
NAP: Neural 3D Articulated Object Prior. NeurIPS (2023)
Yijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang, Leonidas J. Guibas
Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks. CoRR (2023)
Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas J. Guibas, Andrea Tagliasacchi
CC3D: Layout-Conditioned Generation of Compositional 3D Scenes. CoRR (2023)
Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas J. Guibas, William T. Freeman, Yuanzhen Li, Varun Jampani
MetaCLUE: Towards Comprehensive Visual Metaphors Research. CVPR (2023)
Minjung Son, Jeong Joon Park, Leonidas J. Guibas, Gordon Wetzstein
SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene. CVPR (2023)
Qianxu Wang, Haotong Zhang, Congyue Deng, Yang You, Hao Dong, Yixin Zhu, Leonidas J. Guibas
SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation. CoRR (2023)
Bingfan Zhu, Yanchao Yang, Xulong Wang, Youyi Zheng, Leonidas J. Guibas
VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization. CVPR (2023)
Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov
GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. CoRR (2023)
Arjun Majumdar, Fei Xia, Brian Ichter, Dhruv Batra, Leonidas J. Guibas
FindThis: Language-Driven Object Disambiguation in Indoor Environments. CoRL (2023)
Lin Gao, Jia-Mu Sun, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Jie Yang
SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Nikhil Raghuraman, Adam W. Harley, Leonidas J. Guibas
Cross-Image Context Matters for Bongard Problems. CoRR (2023)
Jingyun Yang, Congyue Deng, Jimmy Wu, Rika Antonova, Leonidas J. Guibas, Jeannette Bohg
EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation. CoRR (2023)
Qiuhong Anna Wei, Sijie Ding, Jeong Joon Park, Rahul Sajnani, Adrien Poulenard, Srinath Sridhar, Leonidas J. Guibas
LEGO-Net: Learning Regular Rearrangements of Objects in Rooms. CVPR (2023)
Guandao Yang, Abhijit Kundu, Leonidas J. Guibas, Jonathan T. Barron, Ben Poole
Learning a Diffusion Prior for NeRFs. CoRR (2023)
Jiahui Lei, Congyue Deng, Bokui Shen, Leonidas J. Guibas, Kostas Daniilidis
NAP: Neural 3D Articulation Prior. CoRR (2023)
Jiahui Lei, Congyue Deng, Karl Schmeckpeper, Leonidas J. Guibas, Kostas Daniilidis
EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision. CoRR (2023)
Mikaela Angelina Uy, Ricardo Martin-Brualla, Leonidas J. Guibas, Ke Li
SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates. CoRR (2023)
Yongheng Zhao, Guangchi Fang, Yulan Guo, Leonidas J. Guibas, Federico Tombari, Tolga Birdal
3DPointCaps++: Learning 3D Representations with Capsule Networks. Int. J. Comput. Vis. 130 (9) (2022)
Haowen Deng, Mai Bui, Nassir Navab, Leonidas J. Guibas, Slobodan Ilic, Tolga Birdal
Deep Bingham Networks: Dealing with Uncertainty and Ambiguity in Pose Estimation. Int. J. Comput. Vis. 130 (7) (2022)
Mikaela Angelina Uy, Yen-Yu Chang, Minhyuk Sung, Purvi Goel, Joseph Lambourne, Tolga Birdal, Leonidas J. Guibas
Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders. CVPR (2022)
Davis Rempe, Jonah Philion, Leonidas J. Guibas, Sanja Fidler, Or Litany
Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior. CVPR (2022)
Sidhika Balachandar, Adrien Poulenard, Congyue Deng, Leonidas J. Guibas
Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks. CoRR (2022)

Leonidas J. Guibas.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Leonidas J. Guibas