ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2202.04488
  4. Cited By
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

9 February 2022
Julian Schmidt
Julian Jordan
Franz Gritschneder
Klaus C. J. Dietmayer
ArXivPDFHTML

Papers citing "CRAT-Pred: Vehicle Trajectory Prediction with Crystal Graph Convolutional Neural Networks and Multi-Head Self-Attention"

23 / 23 papers shown
Title
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of
  Dynamic Agents
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents
Byeoungdo Kim
Seonghyeon Park
S. Lee
Elbek Khoshimjonov
Dongsuk Kum
Junsoo Kim
Jeong Soo Kim
J. Choi
56
105
0
01 Apr 2021
Multimodal Motion Prediction with Stacked Transformers
Multimodal Motion Prediction with Stacked Transformers
Yicheng Liu
Jinghuai Zhang
Liangji Fang
Qinhong Jiang
Bolei Zhou
59
358
0
22 Mar 2021
TPCN: Temporal Point Cloud Networks for Motion Forecasting
TPCN: Temporal Point Cloud Networks for Motion Forecasting
Maosheng Ye
Tongyi Cao
Qifeng Chen
3DPC
55
147
0
04 Mar 2021
LaneRCNN: Distributed Representations for Graph-Centric Motion
  Forecasting
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting
Wenyuan Zeng
Ming Liang
Renjie Liao
R. Urtasun
GNN
71
183
0
17 Jan 2021
What-If Motion Prediction for Autonomous Driving
What-If Motion Prediction for Autonomous Driving
Siddhesh Khandelwal
William Qi
Jagjeet Singh
Andrew Hartnett
Deva Ramanan
161
115
0
24 Aug 2020
Learning Lane Graph Representations for Motion Forecasting
Learning Lane Graph Representations for Motion Forecasting
Ming Liang
Binh Yang
Rui Hu
Yun Chen
Renjie Liao
Song Feng
R. Urtasun
66
572
0
27 Jul 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting
Sergio Casas
Cole Gulino
Simon Suo
Katie Z Luo
Renjie Liao
R. Urtasun
192
158
0
23 Jul 2020
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized
  Representation
VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation
Jiyang Gao
Chen Sun
Hang Zhao
Yi Shen
Dragomir Anguelov
Congcong Li
Cordelia Schmid
118
813
0
08 May 2020
Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein
  Graph Double-Attention Network
Social-WaGDAT: Interaction-aware Trajectory Prediction via Wasserstein Graph Double-Attention Network
Jiachen Li
Hengbo Ma
Zhihao Zhang
Masayoshi Tomizuka
84
53
0
14 Feb 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
406
42,393
0
03 Dec 2019
Argoverse: 3D Tracking and Forecasting with Rich Maps
Argoverse: 3D Tracking and Forecasting with Rich Maps
Ming-Fang Chang
John Lambert
Patsorn Sangkloy
Jagjeet Singh
Sławomir Bąk
...
De Wang
Peter Carr
Simon Lucey
Deva Ramanan
James Hays
3DPC
135
1,294
0
06 Nov 2019
Multiple Futures Prediction
Multiple Futures Prediction
Yichuan Tang
Ruslan Salakhutdinov
70
353
0
04 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
94
667
0
12 Oct 2019
Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting
Multi-Head Attention for Multi-Modal Joint Vehicle Motion Forecasting
Jean Pierre Mercat
Thomas Gilles
N. Zoghby
G. Sandou
D. Beauvois
Guillermo Pita Gil
55
172
0
08 Oct 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
86
248
0
21 Jun 2019
What the Constant Velocity Model Can Teach Us About Pedestrian Motion
  Prediction
What the Constant Velocity Model Can Teach Us About Pedestrian Motion Prediction
Christoph Schöller
Vincent Aravantinos
F. Lay
Alois C. Knoll
59
221
0
19 Mar 2019
Fast Graph Representation Learning with PyTorch Geometric
Fast Graph Representation Learning with PyTorch Geometric
Matthias Fey
J. E. Lenssen
3DH
GNN
3DPC
216
4,334
0
06 Mar 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
82
421
0
06 Nov 2018
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for
  Autonomous Driving
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving
Nemanja Djuric
Vladan Radosavljevic
Henggang Cui
Thi Nguyen
Fang-Chieh Chou
Tsung-Han Lin
Nitin Singh
J. Schneider
76
206
0
17 Aug 2018
Convolutional Social Pooling for Vehicle Trajectory Prediction
Convolutional Social Pooling for Vehicle Trajectory Prediction
Nachiket Deo
Mohan M. Trivedi
62
787
0
15 May 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
658
131,414
0
12 Jun 2017
Neural Message Passing for Quantum Chemistry
Neural Message Passing for Quantum Chemistry
Justin Gilmer
S. Schoenholz
Patrick F. Riley
Oriol Vinyals
George E. Dahl
566
7,441
0
04 Apr 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
1