SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks

8 June 2016

Papers citing "SE3-Nets: Learning Rigid Body Motion using Deep Neural Networks"

49 / 49 papers shown

Title
Collective Intelligence for 2D Push Manipulations with Mobile Robots So Kuroki T. Matsushima Jumpei Arima Hiroki Furuta Yutaka Matsuo S. Gu Yujin Tang 69 5 0 28 Jan 2025
Deep Extrinsic Manifold Representation for Vision Tasks Tongtong Zhang Xian Wei Yuanxiang Li 45 0 0 31 Mar 2024
Precise Object Sliding with Top Contact via Asymmetric Dual Limit Surfaces Xili Yi Nima Fazeli 11 6 0 23 May 2023
Long-horizon video prediction using a dynamic latent hierarchy Alexey Zakharov Qinghai Guo Z. Fountas 28 4 0 29 Dec 2022
Learning Interpretable Dynamics from Images of a Freely Rotating 3D Rigid Body J. Mason Christine Allen-Blanchette Nicholas Zolman Elizabeth Davison Naomi Ehrich Leonard 3DH AI4CE 38 8 0 23 Sep 2022
T3VIP: Transformation-based 3D Video Prediction Iman Nematollahi Erick Rosete-Beas Seyed Mahdi B. Azad Raghunandan Rajan Frank Hutter Wolfram Burgard VGen 52 1 0 19 Sep 2022
A Review on Visual-SLAM: Advancements from Geometric Modelling to Learning-based Semantic Scene Understanding Tin Lai 3DGS 21 21 0 12 Sep 2022
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation Bokui Shen Zhenyu Jiang Chris Choy Leonidas J. Guibas Silvio Savarese Anima Anandkumar Yuke Zhu AI4CE 14 41 0 14 Mar 2022
ChiTransformer:Towards Reliable Stereo from Cues Qing Su Shihao Ji MDE ViT 16 12 0 09 Mar 2022
Building Affordance Relations for Robotic Agents - A Review Paola Ardón Éric Pairet Katrin S. Lohan S. Ramamoorthy Ronald P. A. Petrick 14 15 0 14 May 2021
Pushing it out of the Way: Interactive Visual Navigation Kuo-Hao Zeng Luca Weihs Ali Farhadi Roozbeh Mottaghi 23 30 0 28 Apr 2021
GEM: Group Enhanced Model for Learning Dynamical Control Systems Philippe Hansen-Estruch Wenling Shang Lerrel Pinto Pieter Abbeel Stas Tiomkin AI4CE 25 2 0 07 Apr 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction Bohan Wu Suraj Nair Roberto Martin-Martin Li Fei-Fei Chelsea Finn DRL 24 99 0 06 Mar 2021
Graph-based Task-specific Prediction Models for Interactions between Deformable and Rigid Objects Zehang Weng Fabian Paus Anastasiia Varava Hang Yin Tamim Asfour Danica Kragic AI4CE 16 18 0 04 Mar 2021
Unsupervised part representation by Flow Capsules S. Sabour Andrea Tagliasacchi S. Yazdani Geoffrey E. Hinton David J. Fleet 3DPC OCL 22 37 0 27 Nov 2020
A Long Horizon Planning Framework for Manipulating Rigid Pointcloud Objects Anthony Simeonov Yilun Du Beomjoon Kim F. Hogan J. Tenenbaum Pulkit Agrawal Alberto Rodriguez 3DPC 22 49 0 16 Nov 2020
Unseen Object Instance Segmentation for Robotic Environments Christopher Xie Yu Xiang Arsalan Mousavian D. Fox 28 131 0 16 Jul 2020
VDO-SLAM: A Visual Dynamic Object-aware SLAM System Jun Zhang M. Henein Robert E. Mahony V. Ila 28 148 0 22 May 2020
Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning Yaofeng Desmond Zhong Biswadip Dey Amit Chakraborty PINN AI4CE 34 78 0 20 Feb 2020
Experience-Embedded Visual Foresight Yen-Chen Lin Maria Bauzá Phillip Isola 22 35 0 12 Nov 2019
Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control Yaofeng Desmond Zhong Biswadip Dey Amit Chakraborty PINN 39 267 0 26 Sep 2019
Belief Regulated Dual Propagation Nets for Learning Action Effects on Groups of Articulated Objects Ahmet E. Tekden Aykut Erdem Erkut Erdem Mert Imre M. Seker Emre Ugur AI4CE 24 17 0 09 Sep 2019
Learning Hybrid Object Kinematics for Efficient Hierarchical Planning Under Uncertainty Ajinkya Jain S. Niekum 16 19 0 21 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum G. Konidaris 24 355 0 06 Jul 2019
DensePhysNet: Learning Dense Physical Object Representations via Multi-step Dynamic Interactions Zhenjia Xu Jiajun Wu Andy Zeng J. Tenenbaum Shuran Song AI4CE 11 111 0 10 Jun 2019
3DRegNet: A Deep Neural Network for 3D Point Registration Goncalo Dias Pais Srikumar Ramalingam V. Govindu Jacinto C. Nascimento Rama Chellappa Pedro Miraldo 3DPC 3DV 31 219 0 02 Apr 2019
Prospection: Interpretable Plans From Language By Predicting the Future Chris Paxton Yonatan Bisk Jesse Thomason Arunkumar Byravan D. Fox LM&Ro 18 47 0 20 Mar 2019
Taking a Deeper Look at the Inverse Compositional Algorithm Zhaoyang Lv F. Dellaert James M. Rehg Andreas Geiger 3DV 11 48 0 17 Dec 2018
Multiview Cross-supervision for Semantic Segmentation Y. Yao H. Park 14 3 0 04 Dec 2018
Visual Foresight: Model-Based Deep Reinforcement Learning for Vision-Based Robotic Control F. Ebert Chelsea Finn Sudeep Dasari Annie Xie Alex X. Lee Sergey Levine SSL 26 377 0 03 Dec 2018
Quantizing Euclidean motions via double-coset decomposition C. Wülker Gregory S. Chirikjian 15 9 0 28 Nov 2018
Future Segmentation Using 3D Structure Suhani Vora R. Mahjourian S. Pirk A. Angelova 3DPC 19 8 0 28 Nov 2018
Augmenting Physical Simulators with Stochastic Neural Networks: Case Study of Planar Pushing and Bouncing Anurag Ajay Jiajun Wu Nima Fazeli Maria Bauzá L. Kaelbling J. Tenenbaum Alberto Rodriguez 26 117 0 09 Aug 2018
Flexible Neural Representation for Physics Prediction Damian Mrowca Chengxu Zhuang E. Wang Nick Haber Li Fei-Fei J. Tenenbaum Daniel L. K. Yamins OCL AI4CE 22 248 0 21 Jun 2018
QuaterNet: A Quaternion-based Recurrent Model for Human Motion Dario Pavllo David Grangier Michael Auli 3DH 17 259 0 16 May 2018
Learning Rigidity in Dynamic Scenes with a Moving Camera for 3D Motion Field Estimation Zhaoyang Lv Kihwan Kim Alejandro J. Troccoli Deqing Sun James M. Rehg Jan Kautz 13 89 0 12 Apr 2018
Stochastic Adversarial Video Prediction Alex X. Lee Richard Y. Zhang F. Ebert Pieter Abbeel Chelsea Finn Sergey Levine DRL VGen GAN 28 450 0 04 Apr 2018
Probing Physics Knowledge Using Tools from Developmental Psychology Luis S. Piloto Ari Weinstein TB Dhruva Arun Ahuja M. Berk Mirza Greg Wayne David Amos Chia-Chun Hung M. Botvinick 27 34 0 03 Apr 2018
P2P-NET: Bidirectional Point Displacement Net for Shape Transform K. Yin Hui Huang Daniel Cohen-Or Hao Zhang 3DPC 14 46 0 25 Mar 2018
Fast Model Identification via Physics Engines for Data-Efficient Policy Search Shaojun Zhu A. Kimmel Kostas E. Bekris Abdeslam Boularias 28 14 0 24 Oct 2017
Self-Supervised Visual Planning with Temporal Skip Connections F. Ebert Chelsea Finn Alex X. Lee Sergey Levine SSL 40 317 0 15 Oct 2017
Combining Learned and Analytical Models for Predicting Action Effects from Sensory Data Alina Kloss S. Schaal Jeannette Bohg 22 85 0 11 Oct 2017
Learning Robotic Manipulation of Granular Media Connor Schenck Jonathan Tompson D. Fox Sergey Levine 20 52 0 08 Sep 2017
Learning to Singulate Objects using a Push Proposal Network Andreas Eitel Nico Hauff Wolfram Burgard 22 83 0 25 Jul 2017
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation YuXuan Liu Abhishek Gupta Pieter Abbeel Sergey Levine 19 374 0 11 Jul 2017
Adversarial Inverse Graphics Networks: Learning 2D-to-3D Lifting and Image-to-Image Translation from Unpaired Supervision H. Tung Adam W. Harley William Seto Katerina Fragkiadaki GAN 22 156 0 31 May 2017
Transformation-Based Models of Video Sequences Joost R. van Amersfoort A. Kannan MarcÁurelio Ranzato Arthur Szlam Du Tran Soumith Chintala ViT 21 75 0 29 Jan 2017
Deep Visual Foresight for Planning Robot Motion Chelsea Finn Sergey Levine 21 776 0 03 Oct 2016
Accelerating Eulerian Fluid Simulation With Convolutional Networks Jonathan Tompson Kristofer Schlachter Pablo Sprechmann Ken Perlin 41 528 0 13 Jul 2016