Stochastic Prediction of Multi-Agent Interactions from Partial
Observations

Stochastic Prediction of Multi-Agent Interactions from Partial Observations

25 February 2019

Jiajun Wu

Kevin Patrick Murphy

Papers citing "Stochastic Prediction of Multi-Agent Interactions from Partial Observations"

15 / 15 papers shown

Title
Unified Uncertainty-Aware Diffusion for Multi-Agent Trajectory Modeling Guillem Capellera Antonio Rubio Luis Ferraz Antonio Agudo 45 1 0 24 Mar 2025
Neural Relational Inference with Fast Modular Meta-learning Ferran Alet Erica Weng Tomás Lozano Pérez L. Kaelbling 47 55 0 10 Oct 2023
ObjectFolder: A Dataset of Objects with Implicit Visual, Auditory, and Tactile Representations Ruohan Gao Yen-Yu Chang Shivani Mall Li Fei-Fei Jiajun Wu 22 78 0 16 Sep 2021
Learning Temporal Dynamics from Cycles in Narrated Video Dave Epstein Jiajun Wu Cordelia Schmid Chen Sun AI4TS 28 14 0 07 Jan 2021
Game Plan: What AI can do for Football, and What Football can do for AI K. Tuyls Shayegan Omidshafiei Paul Muller Zhe Wang Jerome T. Connor ... Simon Bouton Nathalie Beauguerlange Jackson Broshear T. Graepel Demis Hassabis 33 78 0 18 Nov 2020
Multi-agent Trajectory Prediction with Fuzzy Query Attention Nitin Kamra Hao Zhu Dweep Trivedi Ming Zhang Yan Liu AI4CE 19 31 0 29 Oct 2020
TNT: Target-driveN Trajectory Prediction Hang Zhao Jiyang Gao Tian-Shing Lan Chen Sun Benjamin Sapp ... Yi Shen Yuning Chai Cordelia Schmid Congcong Li Dragomir Anguelov 34 533 0 19 Aug 2020
AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction Alessia Bertugli Simone Calderara Pasquale Coscia Lamberto Ballan Rita Cucchiara 22 28 0 17 May 2020
SimAug: Learning Robust Representations from Simulation for Trajectory Prediction Junwei Liang Lu Jiang Alexander G. Hauptmann 28 18 0 04 Apr 2020
Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding Seonguk Park Gyubok Lee Manoj Bhat Jimin Seo Minseok Kang Jonathan M Francis Ashwin R. Jadhav Paul Pu Liang Louis-Philippe Morency 128 118 0 06 Mar 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 51 1,045 0 21 Feb 2020
Multiple Futures Prediction Yichuan Tang Ruslan Salakhutdinov 17 346 0 04 Nov 2019
Unsupervised Learning of Object Structure and Dynamics from Videos Matthias Minderer Chen Sun Ruben Villegas Forrester Cole Kevin Patrick Murphy Honglak Lee 11 149 0 19 Jun 2019
A Compositional Object-Based Approach to Learning Physical Dynamics Michael Chang T. Ullman Antonio Torralba J. Tenenbaum AI4CE OCL 236 438 0 01 Dec 2016
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 275 1,400 0 01 Dec 2016