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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
Jiachen Li
Hengbo Ma
Zhihao Zhang
Masayoshi Tomizuka
ArXivPDFHTML

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

17 / 17 papers shown
Title
How Does Traffic Environment Quantitatively Affect the Autonomous
  Driving Prediction?
How Does Traffic Environment Quantitatively Affect the Autonomous Driving Prediction?
Wenbo Shao
Yan Xu
Jun Yu Li
Chen Lv
Weida Wang
Hong Wang
29
9
0
11 Jan 2023
Safety-compliant Generative Adversarial Networks for Human Trajectory
  Forecasting
Safety-compliant Generative Adversarial Networks for Human Trajectory Forecasting
Parth Kothari
Alexandre Alahi
27
25
0
25 Sep 2022
Graph-based Spatial Transformer with Memory Replay for Multi-future
  Pedestrian Trajectory Prediction
Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction
Lihuan Li
M. Pagnucco
Yang Song
29
58
0
12 Jun 2022
Graph Neural Networks in IoT: A Survey
Graph Neural Networks in IoT: A Survey
Guimin Dong
Mingyue Tang
Zhiyuan Wang
Jiechao Gao
Sikun Guo
Lihua Cai
Robert Gutierrez
Brad Campbell
Laura E. Barnes
M. Boukhechba
GNN
AI4CE
40
96
0
29 Mar 2022
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph
  Convolutional Neural Networks and Multi-Head Self-Attention
CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention
Julian Schmidt
Julian Jordan
Franz Gritschneder
Klaus C. J. Dietmayer
27
47
0
09 Feb 2022
Exploring Social Posterior Collapse in Variational Autoencoder for
  Interaction Modeling
Exploring Social Posterior Collapse in Variational Autoencoder for Interaction Modeling
Chen Tang
Wei Zhan
Masayoshi Tomizuka
DRL
31
19
0
01 Dec 2021
Prediction of Pedestrian Spatiotemporal Risk Levels for Intelligent
  Vehicles: A Data-driven Approach
Prediction of Pedestrian Spatiotemporal Risk Levels for Intelligent Vehicles: A Data-driven Approach
Zheyu Zhang
Boyang Wang
Chao Lu
Jinghang Li
Cheng Gong
Jian-wei Gong
25
1
0
06 Nov 2021
Are socially-aware trajectory prediction models really socially-aware?
Are socially-aware trajectory prediction models really socially-aware?
Saeed Saadatnejad
Mohammadhossein Bahari
Pedram J. Khorsandi
Mohammad Saneian
Seyed-Mohsen Moosavi-Dezfooli
Alexandre Alahi
AAML
32
42
0
24 Aug 2021
Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent
  Trajectory Prediction
Heterogeneous Edge-Enhanced Graph Attention Network For Multi-Agent Trajectory Prediction
Xiaoyu Mo
Yang Xing
Chen Lv
27
24
0
14 Jun 2021
Spectral Temporal Graph Neural Network for Multivariate Time-series
  Forecasting
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting
Defu Cao
Yujing Wang
Juanyong Duan
Ce Zhang
Xia Zhu
...
Yunhai Tong
Bixiong Xu
Jing Bai
Jie Tong
Qi Zhang
AI4TS
16
498
0
13 Mar 2021
Injecting Knowledge in Data-driven Vehicle Trajectory Predictors
Injecting Knowledge in Data-driven Vehicle Trajectory Predictors
Mohammadhossein Bahari
Ismail Nejjar
Alexandre Alahi
28
49
0
08 Mar 2021
Self-Growing Spatial Graph Network for Context-Aware Pedestrian
  Trajectory Prediction
Self-Growing Spatial Graph Network for Context-Aware Pedestrian Trajectory Prediction
Sirin Haddad
S. Lam
GNN
19
8
0
11 Dec 2020
ReCoG: A Deep Learning Framework with Heterogeneous Graph for
  Interaction-Aware Trajectory Prediction
ReCoG: A Deep Learning Framework with Heterogeneous Graph for Interaction-Aware Trajectory Prediction
Xiaoyu Mo
Yang Xing
Chen Lv
GNN
16
43
0
09 Dec 2020
Reinforcement Learning for Autonomous Driving with Latent State
  Inference and Spatial-Temporal Relationships
Reinforcement Learning for Autonomous Driving with Latent State Inference and Spatial-Temporal Relationships
Xiaobai Ma
Jiachen Li
Mykel J. Kochenderfer
David Isele
K. Fujimura
18
61
0
09 Nov 2020
Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
Human Trajectory Forecasting in Crowds: A Deep Learning Perspective
Parth Kothari
S. Kreiss
Alexandre Alahi
HAI
AI4TS
27
237
0
07 Jul 2020
Autonomous Driving with Deep Learning: A Survey of State-of-Art
  Technologies
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
Yu Huang
Yue Chen
3DPC
49
83
0
10 Jun 2020
Interaction Networks for Learning about Objects, Relations and Physics
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
280
1,401
0
01 Dec 2016
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