More from the Same Authors

• 2022 : Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks »
  Sidhika Balachandar · Adrien Poulenard · Congyue Deng · Leonidas Guibas
• 2022 Poster: NeuForm: Adaptive Overfitting for Neural Shape Editing »
  Connor Lin · Niloy Mitra · Gordon Wetzstein · Leonidas Guibas · Paul Guerrero
• 2022 Poster: Object Scene Representation Transformer »
  Mehdi S. M. Sajjadi · Daniel Duckworth · Aravindh Mahendran · Sjoerd van Steenkiste · Filip Pavetic · Mario Lucic · Leonidas Guibas · Klaus Greff · Thomas Kipf
• 2021 Poster: Intrinsic Dimension, Persistent Homology and Generalization in Neural Networks »
  Tolga Birdal · Aaron Lou · Leonidas Guibas · Umut Simsekli
• 2021 Poster: Leveraging SE(3) Equivariance for Self-supervised Category-Level Object Pose Estimation from Point Clouds »
  Xiaolong Li · Yijia Weng · Li Yi · Leonidas Guibas · A. Abbott · Shuran Song · He Wang
• 2021 Poster: SketchGen: Generating Constrained CAD Sketches »
  Wamiq Para · Shariq Bhat · Paul Guerrero · Tom Kelly · Niloy Mitra · Leonidas Guibas · Peter Wonka
• 2020 : QA: Leonidas J. Guibas »
  Leonidas Guibas
• 2020 Poster: Generative 3D Part Assembly via Dynamic Graph Learning »
  jialei huang · Guanqi Zhan · Qingnan Fan · Kaichun Mo · Lin Shao · Baoquan Chen · Leonidas Guibas · Hao Dong
• 2020 Poster: CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations »
  Davis Rempe · Tolga Birdal · Yongheng Zhao · Zan Gojcic · Srinath Sridhar · Leonidas Guibas
• 2020 Poster: ShapeFlow: Learnable Deformation Flows Among 3D Shapes »
  Chiyu Jiang · Jingwei Huang · Andrea Tagliasacchi · Leonidas Guibas
• 2020 Spotlight: ShapeFlow: Learnable Deformation Flows Among 3D Shapes »
  Chiyu Jiang · Jingwei Huang · Andrea Tagliasacchi · Leonidas Guibas
• 2020 Spotlight: CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations »
  Davis Rempe · Tolga Birdal · Yongheng Zhao · Zan Gojcic · Srinath Sridhar · Leonidas Guibas
• 2019 Poster: Multiview Aggregation for Learning Category-Specific Shape Reconstruction »
  Srinath Sridhar · Davis Rempe · Julien Valentin · Bouaziz Sofien · Leonidas Guibas
• 2019 Poster: A Condition Number for Joint Optimization of Cycle-Consistent Networks »
  Leonidas Guibas · Qixing Huang · Zhenxiao Liang
• 2019 Spotlight: A Condition Number for Joint Optimization of Cycle-Consistent Networks »
  Leonidas Guibas · Qixing Huang · Zhenxiao Liang
• 2018 Poster: Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions »
  Minhyuk Sung · Hao Su · Ronald Yu · Leonidas Guibas
• 2017 Poster: PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space »
  Charles Ruizhongtai Qi · Li Yi · Hao Su · Leonidas Guibas
• 2016 Poster: FPNN: Field Probing Neural Networks for 3D Data »
  Yangyan Li · Soeren Pirk · Hao Su · Charles R Qi · Leonidas Guibas
• 2015 Poster: Deep Knowledge Tracing »
  Chris Piech · Jonathan Bassen · Jonathan Huang · Surya Ganguli · Mehran Sahami · Leonidas Guibas · Jascha Sohl-Dickstein
• 2013 Poster: Wavelets on Graphs via Deep Learning »
  Raif Rustamov · Leonidas Guibas
• 2013 Demonstration: Codewebs: a Pedagogical Search Engine for Code Submissions to a MOOC »
  Jonathan Huang · Chris Piech · Andy Nguyen · Leonidas Guibas
• 2007 Oral: Efficient Inference forDistributions on Permutations »
  Jonathan Huang · Carlos Guestrin · Leonidas Guibas
• 2007 Poster: Efficient Inference forDistributions on Permutations »
  Jonathan Huang · Carlos Guestrin · Leonidas Guibas