Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein
Graph Double-Attention Network

Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network

14 February 2020

Masayoshi Tomizuka

Papers citing "Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network"

11 / 11 papers shown

Title
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction Yuning Chai Benjamin Sapp Mayank Bansal Dragomir Anguelov 63 659 0 12 Oct 2019
Looking to Relations for Future Trajectory Forecast Chiho Choi Behzad Dariush 32 63 0 21 May 2019
Conditional Generative Neural System for Probabilistic Trajectory Prediction Jiachen Li Hengbo Ma Masayoshi Tomizuka 34 173 0 05 May 2019
Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs Javad Amirian J. Hayet J. Pettré GAN 36 271 0 20 Apr 2019
Peeking into the Future: Predicting Future Person Activities and Locations in Videos Junwei Liang Lu Jiang Juan Carlos Niebles Alexander G. Hauptmann Li Fei-Fei 22 376 0 11 Feb 2019
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents Sungwon Kim Sang-gil Lee Sibo Zhang Ruigang Yang Jaehyeon Kim Tianyi Zhou 55 419 0 06 Nov 2018
Generic Probabilistic Interactive Situation Recognition and Prediction: From Virtual to Real Jiachen Li Hengbo Ma Wei Zhan Masayoshi Tomizuka 18 31 0 09 Sep 2018
Probabilistic Prediction of Interactive Driving Behavior via Hierarchical Inverse Reinforcement Learning Liting Sun Wei Zhan Masayoshi Tomizuka 12 112 0 09 Sep 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 243 3,101 0 04 Jun 2018
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents Namhoon Lee Wongun Choi Paul Vernaza Chris Choy Philip Torr Manmohan Chandraker AI4TS 67 987 0 14 Apr 2017
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 401 1,405 0 01 Dec 2016

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