Trajectory Prediction using Equivariant Continuous Convolution

21 October 2020

Papers citing "Trajectory Prediction using Equivariant Continuous Convolution"

32 / 32 papers shown

Title
Spherical Tree-Sliced Wasserstein Distance Hoang V. Tran Thanh T. Chu K. Nguyen Trang Pham Tam Le T. Nguyen OT 59 3 0 14 Mar 2025
MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving Haicheng Liao Zhenning Li Chengyue Wang Huanming Shen Bonan Wang Dongping Liao Guofa Li Chengzhong Xu 22 13 0 02 May 2024
Pioneering SE(2)-Equivariant Trajectory Planning for Automated Driving Steffen Hagedorn Marcel Milich A. P. Condurache 38 4 0 17 Mar 2024
Latent Field Discovery In Interacting Dynamical Systems With Neural Fields Miltiadis Kofinas Erik J. Bekkers N. S. Nagaraja E. Gavves AI4CE 31 7 0 31 Oct 2023
Neurosymbolic Grounding for Compositional World Models Atharva Sehgal Arya Grayeli Jennifer J. Sun Swarat Chaudhuri 27 5 0 19 Oct 2023
Discovering Symmetry Breaking in Physical Systems with Relaxed Group Convolution Rui Wang E. Hofgard Han Gao Robin Walters Tess E. Smidt AI4CE 30 9 0 03 Oct 2023
Efficient Baselines for Motion Prediction in Autonomous Driving Carlos Gómez-Huélamo Marcos V. Conde R. Barea Manuel Ocaña L. Bergasa 19 4 0 06 Sep 2023
On Robot Grasp Learning Using Equivariant Models Xu Zhu Dian Wang Guanang Su Ondrej Biza Robin G. Walters Robert W. Platt 21 9 0 10 Jun 2023
EDGI: Equivariant Diffusion for Planning with Embodied Agents Johann Brehmer Joey Bose P. D. Haan Taco S. Cohen DiffM 23 32 0 22 Mar 2023
A General Theory of Correct, Incorrect, and Extrinsic Equivariance Dian Wang Xu Zhu Jung Yeon Park Mingxi Jia Guanang Su Robert W. Platt Robin G. Walters 24 13 0 08 Mar 2023
Lorentz group equivariant autoencoders Zichun Hao Raghav Kansal Javier Mauricio Duarte N. Chernyavskaya BDL DRL AI4CE 12 23 0 14 Dec 2022
The Surprising Effectiveness of Equivariant Models in Domains with Latent Symmetry Dian Wang Jung Yeon Park Neel Sortur Lawson L. S. Wong Robin G. Walters Robert W. Platt AAML 25 33 0 16 Nov 2022
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics L. Prantl Benjamin Ummenhofer V. Koltun Nils Thuerey AI4CE PINN 24 29 0 12 Oct 2022
Exploring Map-based Features for Efficient Attention-based Vehicle Motion Prediction Carlos Gómez-Huélamo Marcos V. Conde Miguel Ortiz 24 6 0 25 May 2022
Probabilistic Symmetry for Multi-Agent Dynamics S. Sun Robin G. Walters Jinxi Li Rose Yu 6 1 0 04 May 2022
Learning Symmetric Embeddings for Equivariant World Models Jung Yeon Park Ondrej Biza Linfeng Zhao Jan Willem van de Meent Robin G. Walters 23 42 0 24 Apr 2022
On-Robot Learning With Equivariant Models Dian Wang Ming Jia Xu Zhu Robin G. Walters Robert W. Platt OffRL SSL 28 35 0 09 Mar 2022
Sample Efficient Grasp Learning Using Equivariant Models Xu Zhu Dian Wang Ondrej Biza Guanang Su Robin G. Walters Robert W. Platt DRL 81 66 0 18 Feb 2022
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration M. Rath A. P. Condurache 25 8 0 08 Feb 2022
Approximately Equivariant Networks for Imperfectly Symmetric Dynamics Rui Wang Robin G. Walters Rose Yu 27 73 0 28 Jan 2022
Symmetry-aware Neural Architecture for Embodied Visual Navigation Shuang Liu Takayuki Okatani 15 1 0 17 Dec 2021
Physics-enhanced Neural Networks in the Small Data Regime Jonas Eichelsdörfer Sebastian Kaltenbach P. Koutsourelakis AI4CE PINN 6 5 0 19 Nov 2021
Equivariant Deep Dynamical Model for Motion Prediction Bahar Azari Deniz Erdoğmuş 19 1 0 02 Nov 2021
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems Miltiadis Kofinas N. S. Nagaraja E. Gavves AI4CE 19 32 0 28 Oct 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 34 64 0 02 Jul 2021
TridentNet: A Conditional Generative Model for Dynamic Trajectory Generation David Paz Hengyuan Zhang Henrik I. Christensen 20 20 0 16 Jan 2021
Boosting Deep Neural Networks with Geometrical Prior Knowledge: A Survey M. Rath A. P. Condurache ViT AI4CE 27 9 0 30 Jun 2020
Scenario-Transferable Semantic Graph Reasoning for Interaction-Aware Probabilistic Prediction Yeping Hu Wei Zhan M. Tomizuka 13 36 0 07 Apr 2020
A General Theory of Equivariant CNNs on Homogeneous Spaces Taco S. Cohen Mario Geiger Maurice Weiler MLT AI4CE 149 308 0 05 Nov 2018
SPNets: Differentiable Fluid Dynamics for Deep Neural Networks Connor Schenck D. Fox PINN 3DPC AI4CE 167 161 0 15 Jun 2018
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters Yifan Xu Tianqi Fan Mingye Xu Long Zeng Yu Qiao 3DV 3DPC 150 768 0 30 Mar 2018
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 224 7,902 0 13 Jun 2015