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Object-Centric Multi-View Aggregation

Jul 20, 2020
Shubham Tulsiani, Or Litany, Charles Qi, Leonidas Guibas


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ShapeFlow: Learnable Deformations Among 3D Shapes

Jun 14, 2020
Chiyu "Max" Jiang, Jingwei Huang, Andrea Tagliasacchi, Leonidas Guibas


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Generative 3D Part Assembly via Dynamic Graph Learning

Jun 14, 2020
Jialei Huang, Guanqi Zhan, Qingnan Fan, Kaichun Mo, Lin Shao, Baoquan Chen, Leonidas Guibas, Hao Dong


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Robust Learning Through Cross-Task Consistency

Jun 07, 2020
Amir Zamir, Alexander Sax, Teresa Yeo, O─čuzhan Kar, Nikhil Cheerla, Rohan Suri, Zhangjie Cao, Jitendra Malik, Leonidas Guibas

* CVPR 2020 (Oral). Project website, models, live demo at http://consistency.epfl.ch/ 

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6D Camera Relocalization in Ambiguous Scenes via Continuous Multimodal Inference

Apr 09, 2020
Mai Bui, Tolga Birdal, Haowen Deng, Shadi Albarqouni, Leonidas Guibas, Slobodan Ilic, Nassir Navab

* project page under https://multimodal3dvision.github.io 

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Deformation-Aware 3D Model Embedding and Retrieval

Apr 02, 2020
Mikaela Angelina Uy, Jingwei Huang, Minhyuk Sung, Tolga Birdal, Leonidas Guibas


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Synchronizing Probability Measures on Rotations via Optimal Transport

Apr 01, 2020
Tolga Birdal, Michael Arbel, Umut ┼×im┼čekli, Leonidas Guibas

* Accepted for publication at CVPR 2020, includes supplementary material. Project website: https://github.com/SynchInVision/probsync 

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Learning 3D Part Assembly from a Single Image

Mar 24, 2020
Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, Leonidas Guibas


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Adversarial Texture Optimization from RGB-D Scans

Mar 18, 2020
Jingwei Huang, Justus Thies, Angela Dai, Abhijit Kundu, Chiyu Max Jiang, Leonidas Guibas, Matthias Nie├čner, Thomas Funkhouser


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Representation Learning Through Latent Canonicalizations

Feb 26, 2020
Or Litany, Ari Morcos, Srinath Sridhar, Leonidas Guibas, Judy Hoffman


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Continuous Geodesic Convolutions for Learning on 3D Shapes

Feb 06, 2020
Zhangsihao Yang, Or Litany, Tolga Birdal, Srinath Sridhar, Leonidas Guibas


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The Whole Is Greater Than the Sum of Its Nonrigid Parts

Jan 27, 2020
Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas Guibas, Ron Kimmel


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From Planes to Corners: Multi-Purpose Primitive Detection in Unorganized 3D Point Clouds

Jan 21, 2020
Christiane Sommer, Yumin Sun, Leonidas Guibas, Daniel Cremers, Tolga Birdal

* Accepted to IEEE Robotics and Automation Letters 2020 | Video: https://youtu.be/nHWJrA6RcB0 | Code: https://github.com/c-sommer/orthogonal-planes 

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Side-Tuning: Network Adaptation via Additive Side Networks

Dec 31, 2019
Jeffrey O Zhang, Alexander Sax, Amir Zamir, Leonidas Guibas, Jitendra Malik

* See project website at http://sidetuning.berkeley.edu 

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Quaternion Equivariant Capsule Networks for 3D Point Clouds

Dec 27, 2019
Yongheng Zhao, Tolga Birdal, Jan Eric Lenssen, Emanuele Menegatti, Leonidas Guibas, Federico Tombari


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Category-Level Articulated Object Pose Estimation

Dec 26, 2019
Xiaolong Li, He Wang, Li Yi, Leonidas Guibas, A. Lynn Abbott, Shuran Song

* 13 pages, 7 figures 

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Learning to Navigate Using Mid-Level Visual Priors

Dec 23, 2019
Alexander Sax, Jeffrey O. Zhang, Bradley Emi, Amir Zamir, Silvio Savarese, Leonidas Guibas, Jitendra Malik

* In Conference on Robot Learning, 2019. See project website and demos at http://perceptual.actor/ 

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Joint Embedding of 3D Scan and CAD Objects

Aug 19, 2019
Manuel Dahnert, Angela Dai, Leonidas Guibas, Matthias Nie├čner


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Which Tasks Should Be Learned Together in Multi-task Learning?

May 21, 2019
Trevor Standley, Amir R. Zamir, Dawn Chen, Leonidas Guibas, Jitendra Malik, Silvio Savarese

* See project website at http://taskgrouping.stanford.edu/ 

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OperatorNet: Recovering 3D Shapes From Difference Operators

Apr 24, 2019
Ruqi Huang, Marie-Julie Rakotosaona, Panos Achlioptas, Leonidas Guibas, Maks Ovsjanikov

* 13 pages, 14 figures and 2 tables 

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FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image

Mar 29, 2019
Jingwei Huang, Yichao Zhou, Thomas Funkhouser, Leonidas Guibas


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CoSegNet: Deep Co-Segmentation of 3D Shapes with Group Consistency Loss

Mar 27, 2019
Chenyang Zhu, Kai Xu, Siddhartha Chaudhuri, Li Yi, Leonidas Guibas, Hao Zhang


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Learning Transformation Synchronization

Jan 27, 2019
Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou, Yao Xie, Leonidas Guibas, Qixing Huang


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Composite Shape Modeling via Latent Space Factorization

Jan 09, 2019
Anastasia Dubrovina, Fei Xia, Panos Achlioptas, Mira Shalah, Leonidas Guibas


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Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Active Tasks

Dec 31, 2018
Alexander Sax, Bradley Emi, Amir R. Zamir, Leonidas Guibas, Silvio Savarese, Jitendra Malik

* See project website and demos at http://perceptual.actor 

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GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud

Dec 08, 2018
Li Yi, Wang Zhao, He Wang, Minhyuk Sung, Leonidas Guibas


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TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes

Nov 30, 2018
Jingwei Huang, Haotian Zhang, Li Yi, Thomas Funkhouser, Matthias Nie├čner, Leonidas Guibas


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Supervised Fitting of Geometric Primitives to 3D Point Clouds

Nov 22, 2018
Lingxiao Li, Minhyuk Sung, Anastasia Dubrovina, Li Yi, Leonidas Guibas


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Deep Functional Dictionaries: Learning Consistent Semantic Structures on 3D Models from Functions

Oct 25, 2018
Minhyuk Sung, Hao Su, Ronald Yu, Leonidas Guibas

* NIPS 2018 

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Deep Part Induction from Articulated Object Pairs

Sep 19, 2018
Li Yi, Haibin Huang, Difan Liu, Evangelos Kalogerakis, Hao Su, Leonidas Guibas


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