Object Dynamics Modeling with Hierarchical Point Cloud-based Representations

9 April 2024

Papers citing "Object Dynamics Modeling with Hierarchical Point Cloud-based Representations"

22 / 22 papers shown

Title
HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics Artur Grigorev B. Thomaszewski Michael J. Black Otmar Hilliges 3DH AI4CE 83 64 0 14 Dec 2022
Point Transformer V2: Grouped Vector Attention and Partition-based Pooling Xiaoyang Wu Yixing Lao Li Jiang Xihui Liu Hengshuang Zhao 3DPC ViT 99 392 0 11 Oct 2022
Unified Fourier-based Kernel and Nonlinearity Design for Equivariant Networks on Homogeneous Spaces Yinshuang Xu Jiahui Lei Yan Sun Kostas Daniilidis 64 20 0 16 Jun 2022
Fast Point Transformer Chunghyun Park Yoonwoo Jeong Minsu Cho Jaesik Park 3DPC ViT 72 171 0 09 Dec 2021
FCAF3D: Fully Convolutional Anchor-Free 3D Object Detection D. Rukhovich Anna Vorontsova Anton Konushin 3DPC 109 117 0 01 Dec 2021
Physion: Evaluating Physical Prediction from Vision in Humans and Machines Daniel M. Bear E. Wang Damian Mrowca Felix Binder Hsiau-Yu Fish Tung ... Li Fei-Fei Nancy Kanwisher J. Tenenbaum Daniel L. K. Yamins Judith E. Fan OOD 109 97 0 15 Jun 2021
Deep Parametric Continuous Convolutional Neural Networks Shenlong Wang Simon Suo Wei-Chiu Ma A. Pokrovsky R. Urtasun 3DPC 87 467 0 17 Jan 2021
Point Transformer Nico Engel Vasileios Belagiannis Klaus C. J. Dietmayer 3DPC 178 1,994 0 02 Nov 2020
Learning Mesh-Based Simulation with Graph Networks Tobias Pfaff Meire Fortunato Alvaro Sanchez-Gonzalez Peter W. Battaglia AI4CE 82 790 0 07 Oct 2020
Learning Long-term Visual Dynamics with Region Proposal Interaction Networks Haozhi Qi Xiaolong Wang Deepak Pathak Yi-An Ma Jitendra Malik 81 59 0 05 Aug 2020
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez Jonathan Godwin Tobias Pfaff Rex Ying J. Leskovec Peter W. Battaglia PINN AI4CE 141 1,091 0 21 Feb 2020
Rotation Invariant Convolutions for 3D Point Clouds Deep Learning Zhiyuan Zhang Binh-Son Hua D. Rosen Sai-Kit Yeung 3DPC 61 169 0 17 Aug 2019
KPConv: Flexible and Deformable Convolution for Point Clouds Hugues Thomas C. Qi Jean-Emmanuel Deschaud B. Marcotegui F. Goulette Leonidas Guibas 3DPC 169 2,536 0 18 Apr 2019
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks Chris Choy JunYoung Gwak Silvio Savarese 3DPC 152 1,791 0 18 Apr 2019
ConvPoint: Continuous Convolutions for Point Cloud Processing Alexandre Boulch 3DPC 116 242 0 04 Apr 2019
PointConv: Deep Convolutional Networks on 3D Point Clouds Wenxuan Wu Zhongang Qi Fuxin Li 3DPC 131 1,564 0 17 Nov 2018
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li Jiajun Wu Russ Tedrake J. Tenenbaum Antonio Torralba PINN AI4CE 80 397 0 03 Oct 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 761 3,121 0 04 Jun 2018
3D Semantic Segmentation with Submanifold Sparse Convolutional Networks Benjamin Graham Martin Engelcke Laurens van der Maaten 3DPC 105 1,516 0 28 Nov 2017
Visual Interaction Networks Nicholas Watters Andrea Tacchetti T. Weber Razvan Pascanu Peter W. Battaglia Daniel Zoran PINN 3DH 96 279 0 05 Jun 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 593 7,455 0 04 Apr 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 490 14,320 0 02 Dec 2016