Leonidas Guibas

Short CV

​Leonidas Guibas is the Paul Pigott Professor of Computer Science (and by courtesy), Electrical Engineering at Stanford University, where he heads the Geometric Computation group.  Dr. Guibas obtained his Ph.D. from Stanford University  under the supervision of Donald Knuth. His main subsequent employers were Xerox PARC, DEC/SRC, MIT, and Stanford. He has also held appointments at the National U. of Singapore, ETH Zurich, U. of Athens, Google Research, the Advanced Study Institute at Hong Kong University of Science and Technology, the Tsinghua-Berkeley Shenzhen Institute, and Facabook AI Research. At Stanford he is a member and past acting director of the Stanford Artificial Intelligence Laboratory and a member of the Computer Graphics Laboratory, the Institute for Computational and Mathematical Engineering (iCME) and the Bio-X program. Dr. Guibas has been elected to the US National Academy of Engineering and the American Academy of Arts and Sciences, and is an ACM Fellow, an IEEE Fellow and winner of the ACM Allen Newell award and the ICCV Helmholtz prize. He is also a recent recipient of a DoD Vannevar Bush Faculty Fellowship and a Technical University of Munich Hans Fischer Senior Fellowship.


Selected Awards

  • 2018, Technical University of Munich Hans Fischer Senior Fellow
  • 2018, Vannevar Bush Faculty Fellow
  • 2018, Member, American Academy of Arts and Sciences
  • 2017, Member, National Academy of Engineering
  • 2015, IEEE Fellow
  • 1999, ACM Fellow

Research Interests

Professor Guibas has a long record of theoretical and experimental work in computer science and applied mathematics. His research centers on algorithms for sensing, modeling, reasoning, rendering, and acting on the physical world. Professor Guibas' interests span  computer vision, computer graphics, machine learning, computational geometry, geometric modeling, sensor networks, robotics, and discrete algorithms --- all areas in which he has published and lectured extensively.

Current areas of active research include:

  • 3D computer vision: deep architectures for processing 3D data, including shape and scene analysis
  • generative models for shape synthesis, ab initio or conditional
  • learning over spatiotemporal data and multi-modal sensor combinations (e.g., geometry and appearance)
  • the interaction of language and geometry
  • joint learning over data, tasks, and representations for reduced supervision

Selected Publications

  • 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).
  • 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.
  • 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.
  • Charles R. Qi, Or Litany, Kaiming He, Leonidas J. Guibas. Deep Hough Voting for 3D Object Detection in Point Clouds. ICCV  (2019).
  • [update for 2020]
  • 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).
  • Zan Gojcic, Caifa Zhou, Jan D. Wegner, Leonidas J. Guibas, Tolga Birdal. Learning Multiview 3D Point Cloud Registration. CVPR 2020: 1756-1766.
  • 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.
  • Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas J. Guibas. Deformation-Aware 3D Model Embedding and Retrieval. ECCV (7) 2020: 397-413.
  • 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.
  • Davis Rempe, Tolga Birdal, Yongheng Zhao, Zan Gojcic, Srinath Sridhar, Leonidas J. Guibas. CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations. NeurIPS 2020.

Publications as TUM-IAS Fellow

2021

  • Gojcic, Zan; Litany, Or; Wieser, Andreas; Guibas, Leonidas J.; Birdal, Tolga: Weakly Supervised Learning of Rigid 3D Scene Flow. , 2021 more… BibTeX Full text ( DOI )
  • Huang, Jiahui; Wang, He; Birdal, Tolga; Sung, Minhyuk; Arrigoni, Federica; Hu, Shi-Min; Guibas, Leonidas: MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization. , 2021 more… BibTeX Full text ( DOI )
  • Leszczyk, Aleksandra; Máté, Mihály; Legeza, Örs; Boguslawski, Katharina: Assessing the Accuracy of Tailored Coupled Cluster Methods Corrected by Electronic Wave Functions of Polynomial Cost. Journal of Chemical Theory and Computation 18 (1), 2021, 96-117 more… BibTeX Full text ( DOI )
  • Mo, Kaichun; Qin, Yuzhe; Xiang, Fanbo; Su, Hao; Guibas, Leonidas: O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning. , 2021 more… BibTeX Full text ( DOI )
  • Weng, Yijia; Wang, He; Zhou, Qiang; Qin, Yuzhe; Duan, Yueqi; Fan, Qingnan; Chen, Baoquan; Su, Hao; Guibas, Leonidas J.: CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds. , 2021 more… BibTeX Full text ( DOI )

2020

  • Cozzolino, Davide; Rössler, Andreas; Thies, Justus; Nießner, Matthias; Verdoliva, Luisa: ID-Reveal: Identity-aware DeepFake Video Detection. , 2020 more… BibTeX Full text ( DOI )
  • Dong, Siyan; Fan, Qingnan; Wang, He; Shi, Ji; Yi, Li; Funkhouser, Thomas; Chen, Baoquan; Guibas, Leonidas: Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments. , 2020 more… BibTeX Full text ( DOI )
  • Huang, Jingwei; Thies, Justus; Dai, Angela; Kundu, Abhijit; Jiang, Chiyu Max; Guibas, Leonidas; Nießner, Matthias; Funkhouser, Thomas: Adversarial Texture Optimization from RGB-D Scans. 2020 more… BibTeX
  • Qi, Charles R.; Chen, Xinlei; Litany, Or; Guibas, Leonidas J.: ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes. 2020 more… BibTeX
  • Wang, He; Cong, Yezhen; Litany, Or; Gao, Yue; Guibas, Leonidas J.: 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection. , 2020 more… BibTeX Full text ( DOI )
  • Xiaolong Li, He Wang, Li Yi, Leonidas J. Guibas, A. Lynn Abbott, Shuran Song: Category-Level Articulated Object Pose Estimation. CVPR 2020, 2020, 3703-3712 more… BibTeX

2019

  • Angela Dai, Christian Diller, Matthias Nießner: SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans. 2019 more… BibTeX
  • Dahnert, Manuel; Dai, Angela; Guibas, Leonidas; Nießner, Matthias: Joint Embedding of 3D Scan and CAD Objects. 2019 more… BibTeX
  • Dong, Siyan; Xu, Kai; Zhou, Qiang; Tagliasacchi, Andrea; Xin, Shiqing; Nießner, Matthias; Chen, Baoquan: Multi-robot collaborative dense scene reconstruction. ACM Transactions on Graphics 38 (4), 2019, 1-16 more… BibTeX Full text ( DOI )
  • 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. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, 2019, pp. 2642-2651 more… BibTeX
  • Jingwei Huang, Haotian Zhang, Li Yi, Thomas Funkhouser, Matthias Niessner, Leonidas J. Guibas: TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, 2019, pp. 4440-4449 more… BibTeX
  • Manuel Dahnert, Angela Dai, Leonidas Guibas, Matthias Nießner: Joint Embedding of 3D Scan and CAD Objects. 2019 more… BibTeX
  • Qi, Charles R.; Litany, Or; He, Kaiming; Guibas, Leonidas J.: Deep Hough Voting for 3D Object Detection in Point Clouds. 2019 more… BibTeX

2018

  • Ganapathi-Subramanian, Vignesh; Diamanti, Olga; Pirk, Soeren; Tang, Chengcheng; Niessner, Matthias; Guibas, Leonidas: Parsing Geometry Using Structure-Aware Shape Templates. 2018 International Conference on 3D Vision (3DV), IEEE, 2018 more… BibTeX Full text ( DOI )
  • Jan Svoboda, Jonathan Masci, Federico Monti, Michael M. Bronstein, Leonidas Guibas: PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks. 2018 more… BibTeX
  • Jan Svoboda, Jonathan Masci, Federico Monti, Michael M. Bronstein, Leonidas Guibas: PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks. Proceedings of the International Conference on Learning Representations, 2018 more… BibTeX
  • Jingwei Huang, Haotian Zhang, Li Yi, Thomas Funkhouser, Matthias Nießner, Leonidas Guibas: TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes. 2018 more… BibTeX
  • 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. 2018 more… BibTeX
  • 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. 2018 more… BibTeX
  • Thies, Justus; Zollhöfer, Michael; Stamminger, Marc; Theobalt, Christian; Nießner, Matthias: Face2Face. Communications of the ACM 62 (1), 2018, 96-104 more… BibTeX Full text ( DOI )
  • Yi, Li; Zhao, Wang; Wang, He; Sung, Minhyuk; Guibas, Leonidas: GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud. 2018 more… BibTeX