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Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction
  and Tracking

Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking

18 February 2021
Jiachen Li
Hengbo Ma
Zhihao Zhang
Jinning Li
Masayoshi Tomizuka
ArXiv (abs)PDFHTML

Papers citing "Spatio-Temporal Graph Dual-Attention Network for Multi-Agent Prediction and Tracking"

42 / 42 papers shown
Title
CMP: Cooperative Motion Prediction with Multi-Agent Communication
CMP: Cooperative Motion Prediction with Multi-Agent Communication
Zhuoyuan Wu
Yuping Wang
Hengbo Ma
Zhaowei Li
Hang Qiu
Jiachen Li
Jiachen Li
80
9
0
26 Mar 2024
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting
Collaborative Uncertainty Benefits Multi-Agent Multi-Modal Trajectory Forecasting
Bohan Tang
Yiqi Zhong
Chenxin Xu
Wei Wu
Ulrich Neumann
Yanfeng Wang
Ya Zhang
Siheng Chen
93
10
0
11 Jul 2022
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
81
61
0
09 Nov 2020
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
Shared Cross-Modal Trajectory Prediction for Autonomous Driving
Chiho Choi
Joon Hee Choi
Srikanth Malla
Jiachen Li
102
65
0
01 Apr 2020
Diverse and Admissible Trajectory Forecasting through Multimodal Context
  Understanding
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
175
120
0
06 Mar 2020
Decision-Making with Auto-Encoding Variational Bayes
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
BDL
407
10,591
0
17 Feb 2020
Potential Field: Interpretable and Unified Representation for Trajectory
  Prediction
Potential Field: Interpretable and Unified Representation for Trajectory Prediction
Shan Su
Cheng Peng
Jianbo Shi
Chiho Choi
42
11
0
18 Nov 2019
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for
  Behavior Prediction
MultiPath: Multiple Probabilistic Anchor Trajectory Hypotheses for Behavior Prediction
Yuning Chai
Benjamin Sapp
Mayank Bansal
Dragomir Anguelov
100
667
0
12 Oct 2019
INTERACTION Dataset: An INTERnational, Adversarial and Cooperative
  moTION Dataset in Interactive Driving Scenarios with Semantic Maps
INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps
Wei Zhan
Liting Sun
Di Wang
Haojie Shi
Aubrey Clausse
...
Julius Kümmerle
Hendrik Königshof
Christoph Stiller
A. de La Fortelle
Masayoshi Tomizuka
3DV
49
470
0
30 Sep 2019
Generic Tracking and Probabilistic Prediction Framework and Its
  Application in Autonomous Driving
Generic Tracking and Probabilistic Prediction Framework and Its Application in Autonomous Driving
Jiachen Li
Wei Zhan
Yeping Hu
Masayoshi Tomizuka
63
43
0
23 Aug 2019
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and
  Graph Attention Networks
Social-BiGAT: Multimodal Trajectory Forecasting using Bicycle-GAN and Graph Attention Networks
V. Kosaraju
Amir Sadeghian
Roberto Martín-Martín
Ian Reid
S. Hamid Rezatofighi
Silvio Savarese
69
608
0
04 Jul 2019
Rules of the Road: Predicting Driving Behavior with a Convolutional
  Model of Semantic Interactions
Rules of the Road: Predicting Driving Behavior with a Convolutional Model of Semantic Interactions
Joey Hong
Benjamin Sapp
James Philbin
88
248
0
21 Jun 2019
Looking to Relations for Future Trajectory Forecast
Looking to Relations for Future Trajectory Forecast
Chiho Choi
Behzad Dariush
51
64
0
21 May 2019
Human Motion Trajectory Prediction: A Survey
Human Motion Trajectory Prediction: A Survey
Andrey Rudenko
Luigi Palmieri
Michael Herman
Kris Kitani
D. Gavrila
Kai O. Arras
97
734
0
15 May 2019
Conditional Generative Neural System for Probabilistic Trajectory
  Prediction
Conditional Generative Neural System for Probabilistic Trajectory Prediction
Jiachen Li
Hengbo Ma
Masayoshi Tomizuka
76
175
0
05 May 2019
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
Nicholas Rhinehart
R. McAllister
Kris Kitani
Sergey Levine
63
373
0
03 May 2019
Multi-Agent Tensor Fusion for Contextual Trajectory Prediction
Multi-Agent Tensor Fusion for Contextual Trajectory Prediction
Tianyang Zhao
Yifei Xu
Mathew Monfort
Wongun Choi
Chris L. Baker
Yibiao Zhao
Yizhou Wang
Ying Nian Wu
48
398
0
09 Apr 2019
Interaction-aware Multi-agent Tracking and Probabilistic Behavior
  Prediction via Adversarial Learning
Interaction-aware Multi-agent Tracking and Probabilistic Behavior Prediction via Adversarial Learning
Jiachen Li
Hengbo Ma
Masayoshi Tomizuka
46
56
0
04 Apr 2019
SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory
  Prediction
SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory Prediction
Pu Zhang
Wanli Ouyang
Pengfei Zhang
Jianru Xue
Nanning Zheng
60
462
0
07 Mar 2019
Peeking into the Future: Predicting Future Person Activities and
  Locations in Videos
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
44
379
0
11 Feb 2019
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections
Xin Huang
Stephen G. McGill
B. Williams
L. Fletcher
Guy Rosman
44
74
0
16 Jan 2019
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents
TrafficPredict: Trajectory Prediction for Heterogeneous Traffic-Agents
Sungwon Kim
Sang-gil Lee
Sibo Zhang
Ruigang Yang
Jaehyeon Kim
Tianyi Zhou
85
423
0
06 Nov 2018
Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction
  in Highly Interactive Driving Scenarios
Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios
Wei Zhan
Liting Sun
Yeping Hu
Jiachen Li
Masayoshi Tomizuka
35
29
0
10 Sep 2018
Probabilistic Prediction of Interactive Driving Behavior via
  Hierarchical Inverse Reinforcement Learning
Probabilistic Prediction of Interactive Driving Behavior via Hierarchical Inverse Reinforcement Learning
Liting Sun
Wei Zhan
Masayoshi Tomizuka
54
115
0
09 Sep 2018
Relational Deep Reinforcement Learning
Relational Deep Reinforcement Learning
V. Zambaldi
David Raposo
Adam Santoro
V. Bapst
Yujia Li
...
Victoria Langston
Razvan Pascanu
M. Botvinick
Oriol Vinyals
Peter W. Battaglia
OffRL
159
221
0
05 Jun 2018
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and
  Physical Constraints
SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints
Amir Sadeghian
V. Kosaraju
A. Sadeghian
Noriaki Hirose
S. Hamid Rezatofighi
Silvio Savarese
105
903
0
05 Jun 2018
Relational inductive biases, deep learning, and graph networks
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
AI4CENAI
761
3,121
0
04 Jun 2018
Convolutional Social Pooling for Vehicle Trajectory Prediction
Convolutional Social Pooling for Vehicle Trajectory Prediction
Nachiket Deo
Mohan M. Trivedi
67
788
0
15 May 2018
Social GAN: Socially Acceptable Trajectories with Generative Adversarial
  Networks
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
Agrim Gupta
Justin Johnson
Li Fei-Fei
Silvio Savarese
Alexandre Alahi
GAN
166
1,916
0
29 Mar 2018
How would surround vehicles move? A Unified Framework for Maneuver
  Classification and Motion Prediction
How would surround vehicles move? A Unified Framework for Maneuver Classification and Motion Prediction
Nachiket Deo
Akshay Rangesh
Mohan M. Trivedi
49
284
0
19 Jan 2018
Learning and Inferring a Driver's Braking Action in Car-Following
  Scenarios
Learning and Inferring a Driver's Braking Action in Car-Following Scenarios
Wenshuo Wang
Junqiang Xi
Ding Zhao
35
86
0
11 Jan 2018
Non-local Neural Networks
Non-local Neural Networks
Xinyu Wang
Ross B. Girshick
Abhinav Gupta
Kaiming He
OffRL
289
8,906
0
21 Nov 2017
Wasserstein Auto-Encoders
Wasserstein Auto-Encoders
Ilya O. Tolstikhin
Olivier Bousquet
Sylvain Gelly
B. Schölkopf
DRL
122
1,057
0
05 Nov 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
479
20,164
0
30 Oct 2017
Social Attention: Modeling Attention in Human Crowds
Social Attention: Modeling Attention in Human Crowds
Anirudh Vemula
Katharina Muelling
Jean Oh
HAI
62
641
0
12 Oct 2017
InfoVAE: Information Maximizing Variational Autoencoders
InfoVAE: Information Maximizing Variational Autoencoders
Shengjia Zhao
Jiaming Song
Stefano Ermon
DRL
83
446
0
07 Jun 2017
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting
  Agents
DESIRE: Distant Future Prediction in Dynamic Scenes with Interacting Agents
Namhoon Lee
Wongun Choi
Paul Vernaza
Chris Choy
Philip Torr
Manmohan Chandraker
AI4TS
91
995
0
14 Apr 2017
A Structured Self-attentive Sentence Embedding
A Structured Self-attentive Sentence Embedding
Zhouhan Lin
Minwei Feng
Cicero Nogueira dos Santos
Mo Yu
Bing Xiang
Bowen Zhou
Yoshua Bengio
115
2,139
0
09 Mar 2017
Soft + Hardwired Attention: An LSTM Framework for Human Trajectory
  Prediction and Abnormal Event Detection
Soft + Hardwired Attention: An LSTM Framework for Human Trajectory Prediction and Abnormal Event Detection
Tharindu Fernando
Simon Denman
Sridha Sridharan
Clinton Fookes
HAI
73
335
0
18 Feb 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Structural-RNN: Deep Learning on Spatio-Temporal Graphs
Ashesh Jain
Amir Zamir
Silvio Savarese
Ashutosh Saxena
GNN
145
1,093
0
17 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
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