Leonidas J. Guibas
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
305
Venues
45
Active years
1976–2026
Best venue rank
A*
Where they publish
- A*CVPR82 papers
- A*ICCV34 papers
- A*ECCV26 papers
- A*SODA17 papers
- A*SIGGRAPH12 papers
- A*FOCS10 papers
- A*STOC10 papers
- A*ICLR9 papers
- A*ICRA9 papers
- A*ICML8 papers
- A*INFOCOM8 papers
- BSGP8 papers
- UnrankedCoRL6 papers
- A*ICALP5 papers
- BICIP4 papers
- A*MOBICOM4 papers
- BDCOSS4 papers
- A*SiggraphA3 papers
- AWACV3 papers
- BSCA3 papers
- AESA3 papers
- AIROS2 papers
- AALENEX2 papers
- AICDCS2 papers
- NationalPSB2 papers
- UnrankedSENSYS2 papers
- MulticonferenceICCS2 papers
- BMOBIHOC2 papers
- BISAAC2 papers
- BRECOMB1 paper
- A*EMNLP1 paper
- A*IJCAI1 paper
- A*KDD1 paper
- AMICCAI1 paper
- A*WWW1 paper
- AAIED1 paper
- BEWSN1 paper
- BSECON1 paper
- CFUSION1 paper
- BICPR1 paper
- CGMP1 paper
- BWCNC1 paper
- BACCV1 paper
- CARITH1 paper
- A*POPL1 paper
Papers
Showing the 300 most recent indexed papers.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGGRAPH | MeshFlow: Mesh Generation with Equivariant Flow Matching. | Qi Sun, Kiyohiro Nakayama, Jing Nathan Yan, Qixing Huang, Alexander Rush, Leonidas J. Guibas, Gordon Wetzstein, Jing Liao, Guandao Yang |
| 2025 | CVPR | Feature4X: Bridging Any Monocular Video to 4D Agentic AI with Versatile Gaussian Feature Fields. | Shijie Zhou, Hui Ren, Yijia Weng, Shuwang Zhang, Zhen Wang, Dejia Xu, Zhiwen Fan, Suya You, Zhangyang Wang, Leonidas J. Guibas, Achuta Kadambi |
| 2025 | CVPR | Diffusion Self-Distillation for Zero-Shot Customized Image Generation. | Shengqu Cai, Eric Ryan Chan, Yunzhi Zhang, Leonidas J. Guibas, Jiajun Wu, Gordon Wetzstein |
| 2025 | CVPR | BlenderGym: Benchmarking Foundational Model Systems for Graphics Editing. | Yunqi Gu, Ian Huang, Jihyeon Je, Guandao Yang, Leonidas J. Guibas |
| 2025 | CVPR | FirePlace: Geometric Refinements of LLM Common Sense Reasoning for 3D Object Placement. | Ian Huang, Yanan Bao, Karen Truong, Howard Zhou, Cordelia Schmid, Leonidas J. Guibas, Alireza Fathi |
| 2025 | CVPR | MoSca: Dynamic Gaussian Fusion from Casual Videos via 4D Motion Scaffolds. | Jiahui Lei, Yijia Weng, Adam W. Harley, Leonidas J. Guibas, Kostas Daniilidis |
| 2025 | CVPR | AIpparel: A Multimodal Foundation Model for Digital Garments. | Kiyohiro Nakayama, Jan Ackermann, Timur Levent Kesdogan, Yang Zheng, Maria Korosteleva, Olga Sorkine-Hornung, Leonidas J. Guibas, Guandao Yang, Gordon Wetzstein |
| 2025 | CVPR | GroomLight: Hybrid Inverse Rendering for Relightable Human Hair Appearance Modeling. | Yang Zheng, Menglei Chai, Delio Vicini, Yuxiao Zhou, Yinghao Xu, Leonidas J. Guibas, Gordon Wetzstein, Thabo Beeler |
| 2025 | CVPR | SceneCrafter: Controllable Multi-View Driving Scene Editing. | Zehao Zhu, Yuliang Zou, Chiyu Max Jiang, Bo Sun, Vincent Casser, Xiukun Huang, Jiahao Wang, Zhenpei Yang, Ruiqi Gao, Leonidas J. Guibas, Mingxing Tan, Dragomir Anguelov |
| 2025 | ICCV | CL-Splats: Continual Learning of Gaussian Splatting with Local Optimization. | Jan Ackermann, Jonas Kulhanek, Shengqu Cai, Haofei Xu, Marc Pollefeys, Gordon Wetzstein, Leonidas J. Guibas, Songyou Peng |
| 2025 | ICCV | Visual Chronicles: Using Multimodal LLMs to Analyze Massive Collections of Images. | Boyang Deng, Songyou Peng, Kyle Genova, Gordon Wetzstein, Noah Snavely, Leonidas J. Guibas, Thomas A. Funkhouser |
| 2025 | ICCV | Self-Calibrating Gaussian Splatting for Large Field-of-View Reconstruction. | Youming Deng, Wenqi Xian, Guandao Yang, Leonidas J. Guibas, Gordon Wetzstein, Steve Marschner, Paul Debevec |
| 2025 | ICCV | SuperDec: 3D Scene Decomposition with Superquadric Primitives. | Elisabetta Fedele, Boyang Sun, Leonidas J. Guibas, Marc Pollefeys, Francis Engelmann |
| 2025 | ICCV | AllTracker: Efficient Dense Point Tracking at High Resolution. | Adam W. Harley, Yang You, Xinglong Sun, Yang Zheng, Nikhil Raghuraman, Yunqi Gu, Sheldon Liang, Wen-Hsuan Chu, Achal Dave, Suya You, Rares Ambrus, Katerina Fragkiadaki, Leonidas J. Guibas |
| 2025 | ICCV | Perspective-Aware Reasoning in Vision-Language Models via Mental Imagery Simulation. | Phillip Y. Lee, Jihyeon Je, Chanho Park, Leonidas J. Guibas, Mikaela Angelina Uy, Minhyuk Sung |
| 2025 | ICCV | MoMaps: Semantics-Aware Scene Motion Generation with Motion Maps. | Jiahui Lei, Kyle Genova, George Kopanas, Noah Snavely, Leonidas J. Guibas |
| 2025 | ICCV | Global Motion Corresponder for 3D Point-Based Scene Interpolation Under Large Motion. | Junru Lin, Chirag Vashist, Mikaela Angelina Uy, Colton Stearns, Xuan Luo, Leonidas J. Guibas, Ke Li |
| 2025 | ICCV | LookOut: Real-World Humanoid Egocentric Navigation. | Boxiao Pan, Adam W. Harley, Francis Engelmann, C. Karen Liu, Leonidas J. Guibas |
| 2025 | ICCV | Splattalk: 3D VQA with Gaussian Splatting. | Anh Thai, Songyou Peng, Kyle Genova, Leonidas J. Guibas, Thomas A. Funkhouser |
| 2025 | ICLR | Multiview Equivariance Improves 3D Correspondence Understanding with Minimal Feature Finetuning. | Yang You, Yixin Li, Congyue Deng, Yue Wang, Leonidas J. Guibas |
| 2025 | ICLR | InfoGS: Efficient Structure-Aware 3D Gaussians via Lightweight Information Shaping. | Yunchao Zhang, Guandao Yang, Leonidas J. Guibas, Yanchao Yang |
| 2025 | ICML | Gaussian Mixture Flow Matching Models. | Hansheng Chen, Kai Zhang, Hao Tan, Zexiang Xu, Fujun Luan, Leonidas J. Guibas, Gordon Wetzstein, Sai Bi |
| 2025 | ICRA | PhysPart: Physically Plausible Part Completion for Interactable Objects. | Rundong Luo, Haoran Geng, Congyue Deng, Puhao Li, Zan Wang, Baoxiong Jia, Leonidas J. Guibas, Siyuan Huang |
| 2025 | RECOMB | Orientation-Aware Networks for Protein Structure Representation Learning. | Jiahan Li, Shitong Luo, Congyue Deng, Chaoran Cheng, Jiaqi Guan, Leonidas J. Guibas, Jian Peng, Jianzhu Ma |
| 2025 | SiggraphA | Img2CAD: Reverse Engineering 3D CAD Models from Images through VLM-Assisted Conditional Factorization. | Yang You, Mikaela Angelina Uy, Jiaqi Han, Rahul Krishna Thomas, Haotong Zhang, Yi Du, Hansheng Chen, Francis Engelmann, Suya You, Leonidas J. Guibas |
| 2024 | CoRL | RAM: Retrieval-Based Affordance Transfer for Generalizable Zero-Shot Robotic Manipulation. | Yuxuan Kuang, Junjie Ye, Haoran Geng, Jiageng Mao, Congyue Deng, Leonidas J. Guibas, He Wang, Yue Wang |
| 2024 | CoRL | Neural Attention Field: Emerging Point Relevance in 3D Scenes for One-Shot Dexterous Grasping. | Qianxu Wang, Congyue Deng, Tyler Ga Wei Lum, Yuanpei Chen, Yaodong Yang, Jeannette Bohg, Yixin Zhu, Leonidas J. Guibas |
| 2024 | CoRL | D | Songlin Wei, Haoran Geng, Jiayi Chen, Congyue Deng, Wenbo Cui, Chengyang Zhao, Xiaomeng Fang, Leonidas J. Guibas, He Wang |
| 2024 | CVPR | SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities. | Boyuan Chen, Zhuo Xu, Sean Kirmani, Brian Ichter, Dorsa Sadigh, Leonidas J. Guibas, Fei Xia |
| 2024 | CVPR | Category-Level Multi-Part Multi-Joint 3D Shape Assembly. | Yichen Li, Kaichun Mo, Yueqi Duan, He Wang, Jiequan Zhang, Lin Shao, Wojciech Matusik, Leonidas J. Guibas |
| 2024 | CVPR | 4D-fy: Text-to-4D Generation Using Hybrid Score Distillation Sampling. | Sherwin Bahmani, Ivan Skorokhodov, Victor Rong, Gordon Wetzstein, Leonidas J. Guibas, Peter Wonka, Sergey Tulyakov, Jeong Joon Park, Andrea Tagliasacchi, David B. Lindell |
| 2024 | CVPR | Probing the 3D Awareness of Visual Foundation Models. | Mohamed El Banani, Amit Raj, Kevis-Kokitsi Maninis, Abhishek Kar, Yuanzhen Li, Michael Rubinstein, Deqing Sun, Leonidas J. Guibas, Justin Johnson, Varun Jampani |
| 2024 | CVPR | NIFTY: Neural Object Interaction Fields for Guided Human Motion Synthesis. | Nilesh Kulkarni, Davis Rempe, Kyle Genova, Abhijit Kundu, Justin Johnson, David Fouhey, Leonidas J. Guibas |
| 2024 | CVPR | CurveCloudNet: Processing Point Clouds with 1D Structure. | Colton Stearns, Alex Fu, Jiateng Liu, Jeong Joon Park, Davis Rempe, Despoina Paschalidou, Leonidas J. Guibas |
| 2024 | CVPR | MultiPhys: Multi-Person Physics-Aware 3D Motion Estimation. | Nicolas Ugrinovic, Boxiao Pan, Georgios Pavlakos, Despoina Paschalidou, Bokui Shen, Jordi Sanchez-Riera, Francesc Moreno-Noguer, Leonidas J. Guibas |
| 2024 | CVPR | CAD : Photorealistic 3D Generation via Adversarial Distillation. | Ziyu Wan, Despoina Paschalidou, Ian Huang, Hongyu Liu, Bokui Shen, Xiaoyu Xiang, Jing Liao, Leonidas J. Guibas |
| 2024 | CVPR | Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects. | Yijia Weng, Bowen Wen, Jonathan Tremblay, Valts Blukis, Dieter Fox, Leonidas J. Guibas, Stan Birchfield |
| 2024 | CVPR | GPT-4V(ision) is a Human-Aligned Evaluator for Text-to-3D Generation. | Tong Wu, Guandao Yang, Zhibing Li, Kai Zhang, Ziwei Liu, Leonidas J. Guibas, Dahua Lin, Gordon Wetzstein |
| 2024 | ECCV | Zero-Shot Image Feature Consensus with Deep Functional Maps. | Xinle Cheng, Congyue Deng, Adam W. Harley, Yixin Zhu, Leonidas J. Guibas |
| 2024 | ECCV | View-Consistent Hierarchical 3D Segmentation Using Ultrametric Feature Fields. | Haodi He, Colton Stearns, Adam W. Harley, Leonidas J. Guibas |
| 2024 | ECCV | BlenderAlchemy: Editing 3D Graphics with Vision-Language Models. | Ian Huang, Guandao Yang, Leonidas J. Guibas |
| 2024 | ECCV | Denoising Vision Transformers. | Jiawei Yang, Katie Z. Luo, Jiefeng Li, Congyue Deng, Leonidas J. Guibas, Dilip Krishnan, Kilian Q. Weinberger, Yonglong Tian, Yue Wang |
| 2024 | ECCV | PACE: A Large-Scale Dataset with Pose Annotations in Cluttered Environments. | Yang You, Kai Xiong, Zhening Yang, Zhengxiang Huang, Junwei Zhou, Ruoxi Shi, Zhou Fang, Adam W. Harley, Leonidas J. Guibas, Cewu Lu |
| 2024 | ECCV | CONDENSE: Consistent 2D/3D Pre-training for Dense and Sparse Features from Multi-View Images. | Xiaoshuai Zhang, Zhicheng Wang, Howard Zhou, Soham Ghosh, Danushen Gnanapragasam, Varun Jampani, Hao Su, Leonidas J. Guibas |
| 2024 | ECCV | PhysAvatar: Learning the Physics of Dressed 3D Avatars from Visual Observations. | Yang Zheng, Qingqing Zhao, Guandao Yang, Wang Yifan, Donglai Xiang, Florian Dubost, Dmitry Lagun, Thabo Beeler, Federico Tombari, Leonidas J. Guibas, Gordon Wetzstein |
| 2024 | ECCV | ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling. | William Yicheng Zhu, Keren Ye, Junjie Ke, Jiahui Yu, Leonidas J. Guibas, Peyman Milanfar, Feng Yang |
| 2024 | ICLR | SparseDFF: Sparse-View Feature Distillation for One-Shot Dexterous Manipulation. | Qianxu Wang, Haotong Zhang, Congyue Deng, Yang You, Hao Dong, Yixin Zhu, Leonidas J. Guibas |
| 2024 | ICRA | Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models. | Wen-Hsuan Chu, Adam W. Harley, Pavel Tokmakov, Achal Dave, Leonidas J. Guibas, Katerina Fragkiadaki |
| 2024 | IROS | AO-Grasp: Articulated Object Grasp Generation. | Carlota Pars-Morlans, Claire Chen, Yijia Weng, Michelle Yi, Yuying Huang, Nick Heppert, Linqi Zhou, Leonidas J. Guibas, Jeannette Bohg |
| 2024 | ICRA | Refining Pre-Trained Motion Models. | Xinglong Sun, Adam W. Harley, Leonidas J. Guibas |
| 2024 | ICRA | EquivAct: SIM(3)-Equivariant Visuomotor Policies beyond Rigid Object Manipulation. | Jingyun Yang, Congyue Deng, Jimmy Wu, Rika Antonova, Leonidas J. Guibas, Jeannette Bohg |
| 2024 | SIGGRAPH | Streetscapes: Large-scale Consistent Street View Generation Using Autoregressive Video Diffusion. | Boyang Deng, Richard Tucker, Zhengqi Li, Leonidas J. Guibas, Noah Snavely, Gordon Wetzstein |
| 2024 | SIGGRAPH | Neural Control Variates with Automatic Integration. | Zilu Li, Guandao Yang, Qingqing Zhao, Xi Deng, Leonidas J. Guibas, Bharath Hariharan, Gordon Wetzstein |
| 2024 | SiggraphA | Robust Symmetry Detection via Riemannian Langevin Dynamics. | Jihyeon Je, Jiayi Liu, Guandao Yang, Boyang Deng, Shengqu Cai, Gordon Wetzstein, Or Litany, Leonidas J. Guibas |
| 2024 | SiggraphA | Dynamic Gaussian Marbles for Novel View Synthesis of Casual Monocular Videos. | Colton Stearns, Adam W. Harley, Mikaela Angelina Uy, Florian Dubost, Federico Tombari, Gordon Wetzstein, Leonidas J. Guibas |
| 2023 | CoRL | FindThis: Language-Driven Object Disambiguation in Indoor Environments. | Arjun Majumdar, Fei Xia, Brian Ichter, Dhruv Batra, Leonidas J. Guibas |
| 2023 | CVPR | SinGRAF: Learning a 3D Generative Radiance Field for a Single Scene. | Minjung Son, Jeong Joon Park, Leonidas J. Guibas, Gordon Wetzstein |
| 2023 | CVPR | ShapeTalk: A Language Dataset and Framework for 3D Shape Edits and Deformations. | Panos Achlioptas, Ian Huang, Minhyuk Sung, Sergey Tulyakov, Leonidas J. Guibas |
| 2023 | CVPR | Affection: Learning Affective Explanations for Real-World Visual Data. | Panos Achlioptas, Maks Ovsjanikov, Leonidas J. Guibas, Sergey Tulyakov |
| 2023 | CVPR | MetaCLUE: Towards Comprehensive Visual Metaphors Research. | 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 |
| 2023 | CVPR | NeRDi: Single-View NeRF Synthesis with Language-Guided Diffusion as General Image Priors. | Congyue Deng, Chiyu Max Jiang, Charles R. Qi, Xinchen Yan, Yin Zhou, Leonidas J. Guibas, Dragomir Anguelov |
| 2023 | CVPR | EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision. | Jiahui Lei, Congyue Deng, Karl Schmeckpeper, Leonidas J. Guibas, Kostas Daniilidis |
| 2023 | CVPR | GINA-3D: Learning to Generate Implicit Neural Assets in the Wild. | Bokui Shen, Xinchen Yan, Charles R. Qi, Mahyar Najibi, Boyang Deng, Leonidas J. Guibas, Yin Zhou, Dragomir Anguelov |
| 2023 | CVPR | Generating Part-Aware Editable 3D Shapes without 3D Supervision. | Konstantinos Tertikas, Despoina Paschalidou, Boxiao Pan, Jeong Joon Park, Mikaela Angelina Uy, Ioannis Z. Emiris, Yannis Avrithis, Leonidas J. Guibas |
| 2023 | CVPR | SCADE: NeRFs from Space Carving with Ambiguity-Aware Depth Estimates. | Mikaela Angelina Uy, Ricardo Martin-Brualla, Leonidas J. Guibas, Ke Li |
| 2023 | CVPR | ALTO: Alternating Latent Topologies for Implicit 3D Reconstruction. | Zhen Wang, Shijie Zhou, Jeong Joon Park, Despoina Paschalidou, Suya You, Gordon Wetzstein, Leonidas J. Guibas, Achuta Kadambi |
| 2023 | CVPR | LEGO-Net: Learning Regular Rearrangements of Objects in Rooms. | Qiuhong Anna Wei, Sijie Ding, Jeong Joon Park, Rahul Sajnani, Adrien Poulenard, Srinath Sridhar, Leonidas J. Guibas |
| 2023 | CVPR | JacobiNeRF: NeRF Shaping with Mutual Information Gradients. | Xiaomeng Xu, Yanchao Yang, Kaichun Mo, Boxiao Pan, Li Yi, Leonidas J. Guibas |
| 2023 | CVPR | Nerflets: Local Radiance Fields for Efficient Structure-Aware 3D Scene Representation from 2D Supervision. | Xiaoshuai Zhang, Abhijit Kundu, Thomas A. Funkhouser, Leonidas J. Guibas, Hao Su, Kyle Genova |
| 2023 | CVPR | VDN-NeRF: Resolving Shape-Radiance Ambiguity via View-Dependence Normalization. | Bingfan Zhu, Yanchao Yang, Xulong Wang, Youyi Zheng, Leonidas J. Guibas |
| 2023 | ICCV | CC3D: Layout-Conditioned Generation of Compositional 3D Scenes. | Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas J. Guibas, Andrea Tagliasacchi |
| 2023 | ICCV | DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion. | George Kiyohiro Nakayama, Mikaela Angelina Uy, Jiahui Huang, Shi-Min Hu, Ke Li, Leonidas J. Guibas |
| 2023 | ICCV | COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos. | Boxiao Pan, Bokui Shen, Davis Rempe, Despoina Paschalidou, Kaichun Mo, Yanchao Yang, Leonidas J. Guibas |
| 2023 | ICCV | PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking. | Yang Zheng, Adam W. Harley, Bokui Shen, Gordon Wetzstein, Leonidas J. Guibas |
| 2023 | ICML | Towards Learning Geometric Eigen-Lengths Crucial for Fitting Tasks. | Yijia Weng, Kaichun Mo, Ruoxi Shi, Yanchao Yang, Leonidas J. Guibas |
| 2023 | SIGGRAPH | Single-Shot Implicit Morphable Faces with Consistent Texture Parameterization. | Connor Z. Lin, Koki Nagano, Jan Kautz, Eric R. Chan, Umar Iqbal, Leonidas J. Guibas, Gordon Wetzstein, Sameh Khamis |
| 2022 | CVPR | Efficient Geometry-aware 3D Generative Adversarial Networks. | Eric R. Chan, Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J. Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, Gordon Wetzstein |
| 2022 | CVPR | Projective Manifold Gradient Layer for Deep Rotation Regression. | Jiayi Chen, Yingda Yin, Tolga Birdal, Baoquan Chen, Leonidas J. Guibas, He Wang |
| 2022 | CVPR | Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction. | Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan |
| 2022 | CVPR | PartGlot: Learning Shape Part Segmentation from Language Reference Games. | Juil Koo, Ian Huang, Panos Achlioptas, Leonidas J. Guibas, Minhyuk Sung |
| 2022 | CVPR | Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation. | Abhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas J. Guibas, Andrea Tagliasacchi, Frank Dellaert, Thomas A. Funkhouser |
| 2022 | CVPR | Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior. | Davis Rempe, Jonah Philion, Leonidas J. Guibas, Sanja Fidler, Or Litany |
| 2022 | CVPR | ADeLA: Automatic Dense Labeling with Attention for Viewpoint Shift in Semantic Segmentation. | Hanxiang Ren, Yanchao Yang, He Wang, Bokui Shen, Qingnan Fan, Youyi Zheng, C. Karen Liu, Leonidas J. Guibas |
| 2022 | CVPR | ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes. | Rahul Sajnani, Adrien Poulenard, Jivitesh Jain, Radhika Dua, Leonidas J. Guibas, Srinath Sridhar |
| 2022 | CVPR | Domain Adaptation on Point Clouds via Geometry-Aware Implicits. | Yuefan Shen, Yanchao Yang, Mi Yan, He Wang, Youyi Zheng, Leonidas J. Guibas |
| 2022 | CVPR | Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders. | Mikaela Angelina Uy, Yen-Yu Chang, Minhyuk Sung, Purvi Goel, Joseph Lambourne, Tolga Birdal, Leonidas J. Guibas |
| 2022 | ECCV | Towards Accurate Active Camera Localization. | Qihang Fang, Yingda Yin, Qingnan Fan, Fei Xia, Siyan Dong, Sheng Wang, Jue Wang, Leonidas J. Guibas, Baoquan Chen |
| 2022 | ECCV | SpOT: Spatiotemporal Modeling for 3D Object Tracking. | Colton Stearns, Davis Rempe, Jie Li, Rares Ambrus, Sergey Zakharov, Vitor Guizilini, Yanchao Yang, Leonidas J. Guibas |
| 2022 | ECCV | AdaAfford: Learning to Adapt Manipulation Affordance for 3D Articulated Objects via Few-Shot Interactions. | Yian Wang, Ruihai Wu, Kaichun Mo, Jiaqi Ke, Qingnan Fan, Leonidas J. Guibas, Hao Dong |
| 2022 | ECCV | GIMO: Gaze-Informed Human Motion Prediction in Context. | Yang Zheng, Yanchao Yang, Kaichun Mo, Jiaman Li, Tao Yu, Yebin Liu, C. Karen Liu, Leonidas J. Guibas |
| 2022 | EMNLP | LADIS: Language Disentanglement for 3D Shape Editing. | Ian Huang, Panos Achlioptas, Tianyi Zhang, Sergey Tulyakov, Minhyuk Sung, Leonidas J. Guibas |
| 2022 | ICLR | IFR-Explore: Learning Inter-object Functional Relationships in 3D Indoor Scenes. | Qi Li, Kaichun Mo, Yanchao Yang, Hang Zhao, Leonidas J. Guibas |
| 2022 | ICLR | Object Pursuit: Building a Space of Objects via Discriminative Weight Generation. | Chuanyu Pan, Yanchao Yang, Kaichun Mo, Yueqi Duan, Leonidas J. Guibas |
| 2022 | ICLR | VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated Objects. | Ruihai Wu, Yan Zhao, Kaichun Mo, Zizheng Guo, Yian Wang, Tianhao Wu, Qingnan Fan, Xuelin Chen, Leonidas J. Guibas, Hao Dong |
| 2022 | ICLR | Unsupervised Discovery of Object Radiance Fields. | Hong-Xing Yu, Leonidas J. Guibas, Jiajun Wu |
| 2021 | CoRL | O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning. | Kaichun Mo, Yuzhe Qin, Fanbo Xiang, Hao Su, Leonidas J. Guibas |
| 2021 | CVPR | 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection. | He Wang, Yezhen Cong, Or Litany, Yue Gao, Leonidas J. Guibas |
| 2021 | CVPR | ArtEmis: Affective Language for Visual Art. | Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov, Mohamed Elhoseiny, Leonidas J. Guibas |
| 2021 | CVPR | Quantum Permutation Synchronization. | Tolga Birdal, Vladislav Golyanik, Christian Theobalt, Leonidas J. Guibas |
| 2021 | CVPR | Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments. | Siyan Dong, Qingnan Fan, He Wang, Ji Shi, Li Yi, Thomas A. Funkhouser, Baoquan Chen, Leonidas J. Guibas |
| 2021 | CVPR | Weakly Supervised Learning of Rigid 3D Scene Flow. | Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal |
| 2021 | CVPR | MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization. | Jiahui Huang, He Wang, Tolga Birdal, Minhyuk Sung, Federica Arrigoni, Shi-Min Hu, Leonidas J. Guibas |
| 2021 | CVPR | A Functional Approach to Rotation Equivariant Non-Linearities for Tensor Field Networks. | Adrien Poulenard, Leonidas J. Guibas |
| 2021 | CVPR | Joint Learning of 3D Shape Retrieval and Deformation. | Mikaela Angelina Uy, Vladimir G. Kim, Minhyuk Sung, Noam Aigerman, Siddhartha Chaudhuri, Leonidas J. Guibas |
| 2021 | ICCV | Vector Neurons: A General Framework for SO(3)-Equivariant Networks. | Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas J. Guibas |
| 2021 | ICCV | Where2Act: From Pixels to Actions for Articulated 3D Objects. | Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani |
| 2021 | ICCV | Generative Layout Modeling using Constraint Graphs. | Wamiq Para, Paul Guerrero, Tom Kelly, Leonidas J. Guibas, Peter Wonka |
| 2021 | ICCV | HuMoR: 3D Human Motion Model for Robust Pose Estimation. | Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, Leonidas J. Guibas |
| 2021 | ICCV | CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds. | Yijia Weng, He Wang, Qiang Zhou, Yuzhe Qin, Yueqi Duan, Qingnan Fan, Baoquan Chen, Hao Su, Leonidas J. Guibas |
| 2021 | WACV | Representation Learning Through Latent Canonicalizations. | Or Litany, Ari Morcos, Srinath Sridhar, Leonidas J. Guibas, Judy Hoffman |
| 2021 | WACV | Continuous Geodesic Convolutions for Learning on 3D Shapes. | Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas J. Guibas |
| 2020 | CVPR | AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss. | Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas J. Guibas, Hao Zhang |
| 2020 | CVPR | Synchronizing Probability Measures on Rotations via Optimal Transport. | Tolga Birdal, Michael Arbel, Umut Simsekli, Leonidas J. Guibas |
| 2020 | CVPR | Learning Multiview 3D Point Cloud Registration. | Zan Gojcic, Caifa Zhou, Jan D. Wegner, Leonidas J. Guibas, Tolga Birdal |
| 2020 | CVPR | Adversarial Texture Optimization From RGB-D Scans. | Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu Max Jiang, Leonidas J. Guibas, Matthias Niener, Thomas A. Funkhouser |
| 2020 | CVPR | Category-Level Articulated Object Pose Estimation. | Xiaolong Li, He Wang, Li Yi, Leonidas J. Guibas, A. Lynn Abbott, Shuran Song |
| 2020 | CVPR | StructEdit: Learning Structural Shape Variations. | Kaichun Mo, Paul Guerrero, Li Yi, Hao Su, Peter Wonka, Niloy J. Mitra, Leonidas J. Guibas |
| 2020 | CVPR | ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes. | Charles R. Qi, Xinlei Chen, Or Litany, Leonidas J. Guibas |
| 2020 | CVPR | SAPIEN: A SimulAted Part-Based Interactive ENvironment. | 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 |
| 2020 | CVPR | Robust Learning Through Cross-Task Consistency. | Amir R. Zamir, Alexander Sax, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, Leonidas J. Guibas |
| 2020 | ECCV | ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes. | Panos Achlioptas, Ahmed Abdelreheem, Fei Xia, Mohamed Elhoseiny, Leonidas J. Guibas |
| 2020 | ECCV | 6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference. | Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas J. Guibas, Slobodan Ilic, Nassir Navab |
| 2020 | ECCV | Curriculum DeepSDF. | Yueqi Duan, Haidong Zhu, He Wang, Li Yi, Ram Nevatia, Leonidas J. Guibas |
| 2020 | ECCV | Towards Precise Completion of Deformable Shapes. | Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodol, Leonidas J. Guibas, Ron Kimmel |
| 2020 | ECCV | Pix2Surf: Learning Parametric 3D Surface Models of Objects from Images. | Jiahui Lei, Srinath Sridhar, Paul Guerrero, Minhyuk Sung, Niloy J. Mitra, Leonidas J. Guibas |
| 2020 | ECCV | Learning 3D Part Assembly from a Single Image. | Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas J. Guibas |
| 2020 | ECCV | PT2PC: Learning to Generate 3D Point Cloud Shapes from Part Tree Conditions. | Kaichun Mo, He Wang, Xinchen Yan, Leonidas J. Guibas |
| 2020 | ECCV | Contact and Human Dynamics from Monocular Video. | Davis Rempe, Leonidas J. Guibas, Aaron Hertzmann, Bryan C. Russell, Ruben Villegas, Jimei Yang |
| 2020 | ECCV | Deformation-Aware 3D Model Embedding and Retrieval. | Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas J. Guibas |
| 2020 | ECCV | PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding. | Saining Xie, Jiatao Gu, Demi Guo, Charles R. Qi, Leonidas J. Guibas, Or Litany |
| 2020 | ECCV | Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks. | Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas J. Guibas, Jitendra Malik |
| 2020 | ECCV | Quaternion Equivariant Capsule Networks for 3D Point Clouds. | Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas J. Guibas, Federico Tombari |
| 2020 | ICML | Which Tasks Should Be Learned Together in Multi-task Learning? | Trevor Standley, Amir Zamir, Dawn Chen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese |
| 2020 | WACV | Predicting the Physical Dynamics of Unseen 3D Objects. | Davis Rempe, Srinath Sridhar, He Wang, Leonidas J. Guibas |
| 2020 | SCA | Contact and Human Dynamics from Monocular Video. | Davis Rempe, Leonidas J. Guibas, Aaron Hertzmann, Bryan C. Russell, Ruben Villegas, Jimei Yang |
| 2019 | CoRL | Learning to Navigate Using Mid-Level Visual Priors. | Alexander Sax, Jeffrey O. Zhang, Bradley Emi, Amir Zamir, Silvio Savarese, Leonidas J. Guibas, Jitendra Malik |
| 2019 | CVPR | Learning Transformation Synchronization. | Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou, Yao Xie, Leonidas J. Guibas, Qixing Huang |
| 2019 | CVPR | TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes. | Jingwei Huang, Haotian Zhang, Li Yi, Thomas A. Funkhouser, Matthias Niener, Leonidas J. Guibas |
| 2019 | CVPR | Supervised Fitting of Geometric Primitives to 3D Point Clouds. | Lingxiao Li, Minhyuk Sung, Anastasia Dubrovina, Li Yi, Leonidas J. Guibas |
| 2019 | CVPR | FlowNet3D: Learning Scene Flow in 3D Point Clouds. | Xingyu Liu, Charles R. Qi, Leonidas J. Guibas |
| 2019 | CVPR | PartNet: A Large-Scale Benchmark for Fine-Grained and Hierarchical Part-Level 3D Object Understanding. | Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, Hao Su |
| 2019 | CVPR | Learning Generalizable Final-State Dynamics of 3D Rigid Objects. | Davis Rempe, Srinath Sridhar, He Wang, Leonidas J. Guibas |
| 2019 | CVPR | Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation. | He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song, Leonidas J. Guibas |
| 2019 | CVPR | GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud. | Li Yi, Wang Zhao, He Wang, Minhyuk Sung, Leonidas J. Guibas |
| 2019 | ICCV | Shapeglot: Learning Language for Shape Differentiation. | Panos Achlioptas, Leonidas J. Guibas, Noah D. Goodman, Judy Fan, Robert X. D. Hawkins |
| 2019 | ICCV | Joint Embedding of 3D Scan and CAD Objects. | Manuel Dahnert, Angela Dai, Leonidas J. Guibas, Matthias Niener |
| 2019 | ICCV | Composite Shape Modeling via Latent Space Factorization. | Anastasia Dubrovina, Fei Xia, Panos Achlioptas, Mira Shalah, Raphal Groscot, Leonidas J. Guibas |
| 2019 | ICCV | OperatorNet: Recovering 3D Shapes From Difference Operators. | Ruqi Huang, Marie-Julie Rakotosaona, Panos Achlioptas, Leonidas J. Guibas, Maks Ovsjanikov |
| 2019 | ICCV | FrameNet: Learning Local Canonical Frames of 3D Surfaces From a Single RGB Image. | Jingwei Huang, Yichao Zhou, Thomas A. Funkhouser, Leonidas J. Guibas |
| 2019 | ICCV | Deep Hough Voting for 3D Object Detection in Point Clouds. | Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas |
| 2019 | ICCV | Situational Fusion of Visual Representation for Visual Navigation. | William B. Shen, Danfei Xu, Yuke Zhu, Li Fei-Fei, Leonidas J. Guibas, Silvio Savarese |
| 2019 | ICCV | KPConv: Flexible and Deformable Convolution for Point Clouds. | Hugues Thomas, Charles R. Qi, Jean-Emmanuel Deschaud, Beatriz Marcotegui, Franois Goulette, Leonidas J. Guibas |
| 2019 | ICIP | An Information-Theoretic Approach to Transferability in Task Transfer Learning. | Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir Zamir, Leonidas J. Guibas |
| 2019 | ICLR | PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks. | Jan Svoboda, Jonathan Masci, Federico Monti, Michael M. Bronstein, Leonidas J. Guibas |
| 2019 | IJCAI | Taskonomy: Disentangling Task Transfer Learning. | Amir Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese |
| 2019 | SIGGRAPH | CreativeAI: deep learning for graphics. | Niloy J. Mitra, Iasonas Kokkinos, Paul Guerrero, Nils Thuerey, Vladimir G. Kim, Leonidas J. Guibas |
| 2018 | CVPR | Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning. | Chuang Gan, Boqing Gong, Kun Liu, Hao Su, Leonidas J. Guibas |
| 2018 | CVPR | Distributable Consistent Multi-Object Matching. | Nan Hu, Qixing Huang, Boris Thibert, Leonidas J. Guibas |
| 2018 | CVPR | Beyond Holistic Object Recognition: Enriching Image Understanding With Part States. | Cewu Lu, Hao Su, Yonglu Li, Yongyi Lu, Li Yi, Chi-Keung Tang, Leonidas J. Guibas |
| 2018 | CVPR | Frustum PointNets for 3D Object Detection From RGB-D Data. | Charles R. Qi, Wei Liu, Chenxia Wu, Hao Su, Leonidas J. Guibas |
| 2018 | CVPR | Taskonomy: Disentangling Task Transfer Learning. | Amir R. Zamir, Alexander Sax, William B. Shen, Leonidas J. Guibas, Jitendra Malik, Silvio Savarese |
| 2018 | ICLR | Learning Representations and Generative Models for 3D Point Clouds. | Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, Leonidas J. Guibas |
| 2018 | ICML | Learning Representations and Generative Models for 3D Point Clouds. | Panos Achlioptas, Olga Diamanti, Ioannis Mitliagkas, Leonidas J. Guibas |
| 2017 | CVPR | A Point Set Generation Network for 3D Object Reconstruction from a Single Image. | Haoqiang Fan, Hao Su, Leonidas J. Guibas |
| 2017 | CVPR | PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. | Charles Ruizhongtai Qi, Hao Su, Kaichun Mo, Leonidas J. Guibas |
| 2017 | CVPR | Learning Shape Abstractions by Assembling Volumetric Primitives. | Shubham Tulsiani, Hao Su, Leonidas J. Guibas, Alexei A. Efros, Jitendra Malik |
| 2017 | CVPR | SyncSpecCNN: Synchronized Spectral CNN for 3D Shape Segmentation. | Li Yi, Hao Su, Xingwen Guo, Leonidas J. Guibas |
| 2017 | ICIP | Shape-aware spatio-temporal descriptors for interaction classification. | Sren Pirk, Olga Diamanti, Boris Thibert, Danfei Xu, Leonidas J. Guibas |
| 2017 | ICIP | 3D convolutional neural networks by modal fusion. | Yusuke Yoshiyasu, Eiichi Yoshida, Sren Pirk, Leonidas J. Guibas |
| 2017 | SIGGRAPH | Computing and processing correspondences with functional maps. | Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodol, Mirela Ben-Chen, Leonidas J. Guibas, Frdric Chazal, Alexander M. Bronstein |
| 2016 | CVPR | Volumetric and Multi-view CNNs for Object Classification on 3D Data. | Charles Ruizhongtai Qi, Hao Su, Matthias Niener, Angela Dai, Mengyuan Yan, Leonidas J. Guibas |
| 2016 | ECCV | ObjectNet3D: A Large Scale Database for 3D Object Recognition. | Yu Xiang, Wonhui Kim, Wei Chen, Jingwei Ji, Christopher B. Choy, Hao Su, Roozbeh Mottaghi, Leonidas J. Guibas, Silvio Savarese |
| 2016 | KDD | City-Scale Map Creation and Updating using GPS Collections. | Chen Chen, Cewu Lu, Qixing Huang, Qiang Yang, Dimitrios Gunopulos, Leonidas J. Guibas |
| 2016 | SIGGRAPH | Computing and processing correspondences with functional maps. | Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodol, Mirela Ben-Chen, Leonidas J. Guibas, Frdric Chazal, Alexander M. Bronstein |
| 2015 | ICCV | Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views. | Hao Su, Charles Ruizhongtai Qi, Yangyan Li, Leonidas J. Guibas |
| 2015 | ICCV | 3D-Assisted Feature Synthesis for Novel Views of an Object. | Hao Su, Fan Wang, Eric Yi, Leonidas J. Guibas |
| 2015 | ICML | Learning Program Embeddings to Propagate Feedback on Student Code. | Chris Piech, Jonathan Huang, Andy Nguyen, Mike Phulsuksombati, Mehran Sahami, Leonidas J. Guibas |
| 2014 | CVPR | Stable and Informative Spectral Signatures for Graph Matching. | Nan Hu, Raif M. Rustamov, Leonidas J. Guibas |
| 2014 | CVPR | Unsupervised Multi-class Joint Image Segmentation. | Fan Wang, Qixing Huang, Maks Ovsjanikov, Leonidas J. Guibas |
| 2014 | ICML | Near-Optimal Joint Object Matching via Convex Relaxation. | Yuxin Chen, Leonidas J. Guibas, Qi-Xing Huang |
| 2014 | ICML | Scalable Semidefinite Relaxation for Maximum A Posterior Estimation. | Qi-Xing Huang, Yuxin Chen, Leonidas J. Guibas |
| 2014 | ICML | Wasserstein Propagation for Semi-Supervised Learning. | Justin Solomon, Raif M. Rustamov, Leonidas J. Guibas, Adrian Butscher |
| 2014 | MICCAI | Compact and Informative Representation of Functional Connectivity for Predictive Modeling. | Raif M. Rustamov, David Romano, Allan L. Reiss, Leonidas J. Guibas |
| 2014 | SIGGRAPH | Data-driven visual computing. | Kai Xu, Leonidas J. Guibas, Alexei A. Efros, Shi-Min Hu, Ariel Shamir, Jun-Yan Zhu |
| 2014 | WWW | Codewebs: scalable homework search for massive open online programming courses. | Andy Nguyen, Christopher Piech, Jonathan Huang, Leonidas J. Guibas |
| 2013 | AIED | Syntactic and Functional Variability of a Million Code Submissions in a Machine Learning MOOC. | Jonathan Huang, Chris Piech, Andy Nguyen, Leonidas J. Guibas |
| 2013 | CVPR | Graph Matching with Anchor Nodes: A Learning Approach. | Nan Hu, Raif M. Rustamov, Leonidas J. Guibas |
| 2013 | ICCV | Image Co-segmentation via Consistent Functional Maps. | Fan Wang, Qixing Huang, Leonidas J. Guibas |
| 2012 | ECCV | Supervised Earth Mover's Distance Learning and Its Computer Vision Applications. | Fan Wang, Leonidas J. Guibas |
| 2011 | ALENEX | Approximate Map Matching with respect to the Frchet Distance. | Daniel Chen, Anne Driemel, Leonidas J. Guibas, Andy Nguyen, Carola Wenk |
| 2011 | EWSN | The Impact of Network Topology on Collection Performance. | Daniele Puccinelli, Omprakash Gnawali, SunHee Yoon, Silvia Santini, Ugo Maria Colesanti, Silvia Giordano, Leonidas J. Guibas |
| 2011 | ICCV | Human action recognition by learning bases of action attributes and parts. | Bangpeng Yao, Xiaoye Jiang, Aditya Khosla, Andy Lai Lin, Leonidas J. Guibas, Li Fei-Fei |
| 2011 | ICIP | Select informative features for recognition. | Zixuan Wang, Qi Zhao, David Chu, Feng Zhao, Leonidas J. Guibas |
| 2011 | INFOCOM | Network warehouses: Efficient information distribution to mobile users. | Arik Motskin, Ian Downes, Branislav Kusy, Omprakash Gnawali, Leonidas J. Guibas |
| 2011 | SECON | Inferring mobile trajectories using a network of binary proximity sensors. | Eunjoon Cho, Kevin Wong, Omprakash Gnawali, Martin Wicke, Leonidas J. Guibas |
| 2010 | CVPR | Image webs: Computing and exploiting connectivity in image collections. | Kyle Heath, Natasha Gelfand, Maks Ovsjanikov, Mridul Aanjaneya, Leonidas J. Guibas |
| 2010 | CVPR | Persistence-based segmentation of deformable shapes. | Primoz Skraba, Maks Ovsjanikov, Frdric Chazal, Leonidas J. Guibas |
| 2010 | ICDCS | Fingerprinting Mobile User Positions in Sensor Networks. | Mo Li, Xiaoye Jiang, Leonidas J. Guibas |
| 2010 | MOBICOM | A case for evaluating sensor network protocols concurrently. | Omprakash Gnawali, Leonidas J. Guibas, Philip Alexander Levis |
| 2010 | PSB | Constructing Multi-Resolution Markov State Models (MSMs) to Elucidate RNA Hairpin Folding Mechanisms. | Xuhui Huang, Yuan Yao, Gregory R. Bowman, Jian Sun, Leonidas J. Guibas, Gunnar E. Carlsson, Vijay S. Pande |
| 2010 | SODA | Road Network Reconstruction for Organizing Paths. | Daniel Chen, Leonidas J. Guibas, John Hershberger, Jian Sun |
| 2010 | SENSYS | END: a topology-aware collection metric for sensor networks. | Daniele Puccinelli, Omprakash Gnawali, SunHee Yoon, Silvia Giordano, Leonidas J. Guibas |
| 2009 | INFOCOM | Interference-Aware MAC Protocol for Wireless Networks by a Game-Theoretic Approach. | HyungJune Lee, Hyukjoon Kwon, Arik Motskin, Leonidas J. Guibas |
| 2009 | INFOCOM | Lightweight Coloring and Desynchronization for Networks. | Arik Motskin, Tim Roughgarden, Primoz Skraba, Leonidas J. Guibas |
| 2009 | SODA | Analysis of scalar fields over point cloud data. | Frdric Chazal, Leonidas J. Guibas, Steve Oudot, Primoz Skraba |
| 2009 | SENSYS | Recovering network topology with binary sensors. | Eunjoon Cho, Ian Downes, Martin Wicke, Branislav Kusy, Leonidas J. Guibas |
| 2008 | FUSION | The identity management problem - A short survey. | Leonidas J. Guibas |
| 2008 | ICPR | Robust extraction of 1D skeletons from grayscale 3D images. | Emilio R. Antnez, Leonidas J. Guibas |
| 2008 | INFOCOM | Iso-Contour Queries and Gradient Descent with Guaranteed Delivery in Sensor Networks. | Rik Sarkar, Xianjin Zhu, Jie Gao, Leonidas J. Guibas, Joseph S. B. Mitchell |
| 2008 | MOBICOM | Localization of mobile users using trajectory matching. | HyungJune Lee, Martin Wicke, Branislav Kusy, Leonidas J. Guibas |
| 2008 | SODA | Geodesic Delaunay triangulation and witness complex in the plane. | Jie Gao, Leonidas J. Guibas, Steve Oudot, Yue Wang |
| 2008 | SCA | Meshless Modeling of Deformable Shapes and their Motion. | Bart Adams, Maks Ovsjanikov, Michael Wand, Hans-Peter Seidel, Leonidas J. Guibas |
| 2007 | DCOSS | Energy Efficient Intrusion Detection in Camera Sensor Networks. | Primoz Skraba, Leonidas J. Guibas |
| 2007 | ICCS | Compressed Sensing and Time-Parallel Reduced-Order Modeling for Structural Health Monitoring Using a DDDAS. | Julien Cortial, Charbel Farhat, Leonidas J. Guibas, M. Rajashekhar |
| 2007 | INFOCOM | Landmark Selection and Greedy Landmark-Descent Routing for Sensor Networks. | An Thanh Nguyen, Nikola Milosavljevic, Qing Fang, Jie Gao, Leonidas J. Guibas |
| 2007 | MOBICOM | The geometry of mobility. | Leonidas J. Guibas |
| 2007 | SODA | Reconstruction using witness complexes. | Leonidas J. Guibas, Steve Oudot |
| 2007 | SGP | Dynamic geometry registration. | Niloy J. Mitra, Simon Flry, Maks Ovsjanikov, Natasha Gelfand, Leonidas J. Guibas, Helmut Pottmann |
| 2007 | SGP | Reconstruction of deforming geometry from time-varying point clouds. | Michael Wand, Philipp Jenke, Qi-Xing Huang, Martin Bokeloh, Leonidas J. Guibas, Andreas Schilling |
| 2006 | DCOSS | Optimal Placement and Selection of Camera Network Nodes for Target Localization. | Ali Ozer Ercan, Danny B. Yang, Abbas El Gamal, Leonidas J. Guibas |
| 2006 | DCOSS | Distance-Sensitive Information Brokerage in Sensor Networks. | Stefan Funke, Leonidas J. Guibas, An Thanh Nguyen, Yusu Wang |
| 2006 | GMP | Towards Unsupervised Segmentation of Semi-rigid Low-Resolution Molecular Surfaces. | Yusu Wang, Leonidas J. Guibas |
| 2006 | ICCS | Towards a Dynamic Data Driven System for Structural and Material Health Monitoring. | Charbel Farhat, John G. Michopoulos, Fu-Kuo Chang, Leonidas J. Guibas, Adrian J. Lew |
| 2006 | INFOCOM | Landmark-Based Information Storage and Retrieval in Sensor Networks. | Qing Fang, Jie Gao, Leonidas J. Guibas |
| 2006 | SGP | Probabilistic fingerprints for shapes. | Niloy J. Mitra, Leonidas J. Guibas, Joachim Giesen, Mark Pauly |
| 2005 | DCOSS | Distributed Proximity Maintenance in Ad Hoc Mobile Networks. | Jie Gao, Leonidas J. Guibas, An Thanh Nguyen |
| 2005 | INFOCOM | GLIDER: gradient landmark-based distributed routing for sensor networks. | Qing Fang, Jie Gao, Leonidas J. Guibas, Vin de Silva, Li Zhang |
| 2005 | PSB | Exploring Protein Folding Trajectories Using Geometric Spanners. | Daniel Russel, Leonidas J. Guibas |
| 2005 | WCNC | Supporting group communication among interacting agents in wireless sensor networks. | Jaewon Shin, Anthony Man-Cho So, Leonidas J. Guibas |
| 2005 | SGP | Robust Global Registration. | Natasha Gelfand, Niloy J. Mitra, Leonidas J. Guibas, Helmut Pottmann |
| 2005 | SGP | Example-Based 3D Scan Completion. | Mark Pauly, Niloy J. Mitra, Joachim Giesen, Markus H. Gross, Leonidas J. Guibas |
| 2004 | ALENEX | A Computational Framework for Handling Motion. | Leonidas J. Guibas, Menelaos I. Karavelas, Daniel Russel |
| 2004 | INFOCOM | Locating and Bypassing Routing Holes in Sensor Networks. | Qing Fang, Jie Gao, Leonidas J. Guibas |
| 2004 | SCA | Quasi-rigid objects in contact. | Mark Pauly, Dinesh K. Pai, Leonidas J. Guibas |
| 2004 | SGP | Persistence Barcodes for Shapes. | Gunnar E. Carlsson, Afra Zomorodian, Anne D. Collins, Leonidas J. Guibas |
| 2004 | SGP | Shape Segmentation Using Local Slippage Analysis. | Natasha Gelfand, Leonidas J. Guibas |
| 2004 | SGP | Registration of Point Cloud Data from a Geometric Optimization Perspective. | Niloy J. Mitra, Natasha Gelfand, Helmut Pottmann, Leonidas J. Guibas |
| 2003 | ICCV | Counting People in Crowds with a Real-Time Network of Simple Image Sensors. | Danny B. Yang, Hctor H. Gonzlez-Baos, Leonidas J. Guibas |
| 2003 | MOBIHOC | Lightweight sensing and communication protocols for target enumeration and aggregation. | Qing Fang, Feng Zhao, Leonidas J. Guibas |
| 2003 | SODA | Zonotopes as bounding volumes. | Leonidas J. Guibas, An Thanh Nguyen, Li Zhang |
| 2002 | ESA | Kinetic Medians and kd-Trees. | Pankaj K. Agarwal, Jie Gao, Leonidas J. Guibas |
| 2002 | MOBICOM | A dual-space approach to tracking and sensor management in wireless sensor networks. | Jie Liu, Patrick Cheung, Feng Zhao, Leonidas J. Guibas |
| 2001 | ICRA | Disconnection Proofs for Motion Planning. | Julien Basch, Leonidas J. Guibas, David Hsu, An Thai Nguyen |
| 2001 | ICRA | Scalable Dynamical Systems for Multi-Agent Steering and Simulation. | Siome Goldenstein, Menelaos I. Karavelas, Dimitris N. Metaxas, Leonidas J. Guibas, Ambarish Goswami |
| 2001 | ICRA | Kinetic Collision Detection: Algorithms and Experiments. | Leonidas J. Guibas, Feng Xie, Li Zhang |
| 2001 | MOBIHOC | Geometric spanner for routing in mobile networks. | Jie Gao, Leonidas J. Guibas, John Hershberger, Li Zhang, An Zhu |
| 2001 | SODA | Morphing between polylines. | Alon Efrat, Sariel Har-Peled, Leonidas J. Guibas, T. M. Murali |
| 2001 | SODA | Static and kinetic geometric spanners with applications. | Menelaos I. Karavelas, Leonidas J. Guibas |
| 2000 | SODA | Sweeping simple polygons with a chain of guards. | Alon Efrat, Leonidas J. Guibas, Sariel Har-Peled, David C. Lin, Joseph S. B. Mitchell, T. M. Murali |
| 2000 | SODA | On incremental rendering of silhouette maps of polyhedral scene. | Alon Efrat, Leonidas J. Guibas, Olaf A. Hall-Holt, Li Zhang |
| 1999 | ICCV | The Earth Mover's Distance under Transformation Sets. | Scott D. Cohen, Leonidas J. Guibas |
| 1999 | IROS | A probabilistic roadmap planner for flexible objects with a workspace medial-axis-based sampling approach. | Leonidas J. Guibas, Christopher Holleman, Lydia E. Kavraki |
| 1999 | SODA | Kinetic Collision Detection Between Two Simple Polygons. | Julien Basch, Jeff Erickson, Leonidas J. Guibas, John Hershberger, Li Zhang |
| 1999 | SODA | Separation-Sensitive Collision Detection for Convex Objects. | Jeff Erickson, Leonidas J. Guibas, Jorge Stolfi, Li Zhang |
| 1998 | ACCV | Adaptive Color-Image Embeddings for Database Navigation. | Yossi Rubner, Carlo Tomasi, Leonidas J. Guibas |
| 1998 | FOCS | Parametric and Kinetic Minimum Spanning Trees. | Pankaj K. Agarwal, David Eppstein, Leonidas J. Guibas, Monika Rauch Henzinger |
| 1998 | ICCV | A Metric for Distributions with Applications to Image Databases. | Yossi Rubner, Carlo Tomasi, Leonidas J. Guibas |
| 1998 | ISAAC | Visibility Queries in Simple Polygons and Applications. | Boris Aronov, Leonidas J. Guibas, Marek Teichmann, Li Zhang |
| 1998 | SODA | Kinetic Binary Space Partitions for Intersecting Segments and Disjoint Triangles (Extended Abstract). | Pankaj K. Agarwal, Jeff Erickson, Leonidas J. Guibas |
| 1997 | ICRA | Finding an unpredictable target in a workspace with obstacles. | Steven M. LaValle, David Lin, Leonidas J. Guibas, Jean-Claude Latombe, Rajeev Motwani |
| 1997 | SIGGRAPH | Metropolis light transport. | Eric Veach, Leonidas J. Guibas |
| 1997 | SODA | Data Structures for Mobile Data. | Julien Basch, Leonidas J. Guibas, John Hershberger |
| 1997 | SODA | Partial Matching of Planar Polylines Under Similarity Transformations. | Scott D. Cohen, Leonidas J. Guibas |
| 1996 | ESA | Reporting Red-Blue Intersections between Two Sets of Connected Line Segments. | Julien Basch, Leonidas J. Guibas, G. D. Ramkumar |
| 1995 | ESA | The Centroid of Points with Approximate Weights. | Marshall W. Bern, David Eppstein, Leonidas J. Guibas, John Hershberger, Subhash Suri, Jan Wolter |
| 1995 | ICRA | A Simple and Effeicient Procedure for Polyhedral Assembly Partitioning under Infinitesimal Motions. | Leonidas J. Guibas, Dan Halperin, Hirohisa Hirukawa, Jean-Claude Latombe, Randall H. Wilson |
| 1995 | SIGGRAPH | Optimally combining sampling techniques for Monte Carlo rendering. | Eric Veach, Leonidas J. Guibas |
| 1993 | ISAAC | Reaching a Goal with Directional Uncertainty. | Mark de Berg, Mark H. Overmars, Leonidas J. Guibas, Otfried Schwarzkopf, Monique Teillaud, Dan Halperin, Micha Sharir |
| 1993 | STOC | Improved bounds on weak epsilon-nets for convex sets. | Bernard Chazelle, Herbert Edelsbrunner, Michelangelo Grigni, Leonidas J. Guibas, Micha Sharir, Emo Welzl |
| 1992 | SODA | The Robot Localization Problem in Two Dimensions. | Leonidas J. Guibas, Rajeev Motwani, Prabhakar Raghavan |
| 1991 | ICALP | Ray Shooting in Polygons Using Geodesic Triangulations. | Bernard Chazelle, Herbert Edelsbrunner, Michelangelo Grigni, Leonidas J. Guibas, John Hershberger, Micha Sharir, Jack Snoeyink |
| 1991 | SODA | Computing a Face in an Arrangement of Line Segments. | Bernard Chazelle, Herbert Edelsbrunner, Leonidas J. Guibas, Micha Sharir, Jack Snoeyink |
| 1990 | FOCS | Counting and Cutting Cycles of Lines and Rods in Space | Bernard Chazelle, Herbert Edelsbrunner, Leonidas J. Guibas, Richard Pollack, Raimund Seidel, Micha Sharir, Jack Snoeyink |
| 1990 | ICALP | Randomized Incremental Construction of Delaunay and Voronoi Diagrams. | Leonidas J. Guibas, Donald E. Knuth, Micha Sharir |
| 1990 | SODA | Compact Interval Trees: A Data Structure for Convex Hulls. | Leonidas J. Guibas, John Hershberger, Jack Snoeyink |
| 1989 | ICALP | A Singly-Expenential Stratification Scheme for Real Semi-Algebraic Varieties and Its Applications. | Bernard Chazelle, Herbert Edelsbrunner, Leonidas J. Guibas, Micha Sharir |
| 1989 | STOC | Lines in Space-Combinatorics, Algorithms and Applications | Bernard Chazelle, Herbert Edelsbrunner, Leonidas J. Guibas, Micha Sharir |
| 1988 | FOCS | Combinatorial Complexity Bounds for Arrangements of Curves and Surfaces | Kenneth L. Clarkson, Herbert Edelsbrunner, Leonidas J. Guibas, Micha Sharir, Emo Welzl |
| 1988 | ICALP | Arrangements of Curves in the Plane - Topology, Combinatorics, and Algorithms. | Herbert Edelsbrunner, Leonidas J. Guibas, Jnos Pach, Richard Pollack, Raimund Seidel, Micha Sharir |
| 1988 | SIGGRAPH | An efficient algorithm for finding the CSG representation of a simple polygon. | David P. Dobkin, Leonidas J. Guibas, John Hershberger, Jack Snoeyink |
| 1987 | STOC | A Linear Time Algorithm for Computing the Voronoi Diagram of a Convex Polygon | Alok Aggarwal, Leonidas J. Guibas, James B. Saxe, Peter W. Shor |
| 1987 | STOC | The Complexity of Cutting Convex Polytopes | Bernard Chazelle, Herbert Edelsbrunner, Leonidas J. Guibas |
| 1986 | STOC | Topologically Sweeping an Arrangement | Herbert Edelsbrunner, Leonidas J. Guibas |
| 1985 | FOCS | Parallel Computational Geometry (Extended Abstract) | Alok Aggarwal, Bernard Chazelle, Leonidas J. Guibas, Colm 'Dnlaing, Chee-Keng Yap |
| 1985 | FOCS | Visibility-Polygon Search and Euclidean Shortest Paths | Takao Asano, Tetsuo Asano, Leonidas J. Guibas, John Hershberger, Hiroshi Imai |
| 1985 | ICALP | Fractional Cascading: A Data Structuring Technique with Geometric Applications. | Bernard Chazelle, Leonidas J. Guibas |
| 1983 | ARITH | On fast binary addition in MDS Technologies. | Leonidas J. Guibas, Jean Vuillemin |
| 1983 | FOCS | The Power of Geometric Duality | Bernard Chazelle, Leonidas J. Guibas, D. T. Lee |
| 1983 | FOCS | A Kinetic Framework for Computational Geometry | Leonidas J. Guibas, Lyle Ramshaw, Jorge Stolfi |
| 1983 | STOC | Primitives for the Manipulation of General Subdivisions and the Computation of Voronoi Diagrams | Leonidas J. Guibas, Jorge Stolfi |
| 1982 | SIGGRAPH | A language for bitmap manipulation. | Leonidas J. Guibas, Jorge Stolfi |
| 1982 | STOC | Finding Extremal Polygons | James E. Boyce, David P. Dobkin, Robert L. (Scot) Drysdale III, Leonidas J. Guibas |
| 1981 | ICDCS | Optimal Placement of Identical Resources in a Distributed Network. | Michael J. Fischer, Leonidas J. Guibas, Nancy D. Griffeth, Nancy A. Lynch |
| 1980 | STOC | On Translating a Set of Rectangles | Leonidas J. Guibas, F. Frances Yao |
| 1978 | FOCS | A Dichromatic Framework for Balanced Trees | Leonidas J. Guibas, Robert Sedgewick |
| 1978 | POPL | Compilation and Delayed Evaluation in APL. | Leonidas J. Guibas, Douglas K. Wyatt |
| 1977 | FOCS | A New Proof of the Linearity of the Boyer-Moore String Searching Algorithm | Leonidas J. Guibas, Andrew M. Odlyzko |
| 1977 | STOC | A New Representation for Linear Lists | Leonidas J. Guibas, Edward M. McCreight, Michael F. Plass, Janet R. Roberts |
| 1976 | FOCS | The Analysis of Hashing Algorithms that Exhibit k-ary Clustering | Leonidas J. Guibas |
| 1976 | STOC | The Analysis of Double Hashing (Extended Abstract) | Leonidas J. Guibas, Endre Szemerdi |