Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data

18 October 2019

Papers citing "Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data"

37 / 37 papers shown

Title
TrACT: A Training Dynamics Aware Contrastive Learning Framework for Long-tail Trajectory Prediction Junrui Zhang Mozhgan Pourkeshavarz Amir Rasouli 42 3 0 18 Apr 2024
MGTR: Multi-Granular Transformer for Motion Prediction with LiDAR Yi Gan Hao Xiao Yizhe Zhao Ethan Zhang Zhe Huang Xin Ye Lingting Ge 26 15 0 05 Dec 2023
Tracing the Influence of Predecessors on Trajectory Prediction Mengmeng Liu Hao Cheng M. Yang 33 2 0 10 Aug 2023
DEGREE: Decomposition Based Explanation For Graph Neural Networks Qizhang Feng Ninghao Liu Fan Yang Ruixiang Tang Mengnan Du Xia Hu 19 22 0 22 May 2023
WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting K. Chen Runzhou Ge Hang Qiu Rami Ai-Rfou C. Qi ... Mustafa A. Mustafa Ivan Bogun Weiyue Wang Mingxing Tan Drago Anguelov 27 20 0 07 Apr 2023
Data Distillation: A Survey Noveen Sachdeva Julian McAuley DD 32 73 0 11 Jan 2023
JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving Wenjie Luo C. Park Andre Cornman Benjamin Sapp Drago Anguelov 14 37 0 16 Dec 2022
InterSim: Interactive Traffic Simulation via Explicit Relation Modeling Q. Sun Xin Huang B. Williams Hang Zhao 27 36 0 26 Oct 2022
3D VSG: Long-term Semantic Scene Change Prediction through 3D Variable Scene Graphs Sam Looper Javier Rodriguez Puigvert Roland Siegwart César Cadena L. Schmid 3DPC 13 22 0 16 Sep 2022
BITS: Bi-level Imitation for Traffic Simulation Danfei Xu Yuxiao Chen B. Ivanovic Marco Pavone 12 80 0 26 Aug 2022
Learning an Interpretable Model for Driver Behavior Prediction with Inductive Biases Salar Arbabi D. Tavernini Saber Fallah Richard Bowden 20 6 0 31 Jul 2022
Tuning the Geometry of Graph Neural Networks Sowon Jeong Claire Donnat AI4CE 32 1 0 12 Jul 2022
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks Nigamaa Nayakanti Rami Al-Rfou Aurick Zhou Kratarth Goel Khaled S. Refaat Benjamin Sapp AI4TS 40 234 0 12 Jul 2022
MPA: MultiPath++ Based Architecture for Motion Prediction S. Konev 19 14 0 20 Jun 2022
ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning Yuxiao Chen B. Ivanovic Marco Pavone 19 76 0 18 Jun 2022
MotionCNN: A Strong Baseline for Motion Prediction in Autonomous Driving S. Konev Kirill Brodt A. Sanakoyeu 3DPC 37 39 0 05 Jun 2022
TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving Kashyap Chitta Aditya Prakash Bernhard Jaeger Zehao Yu Katrin Renz Andreas Geiger ViT 89 295 0 31 May 2022
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 26 96 0 29 Mar 2022
RTGNN: A Novel Approach to Model Stochastic Traffic Dynamics Ke Sun Stephen M. Chaves Paul D. Martin Vijay R. Kumar GNN 30 1 0 21 Feb 2022
GARNET: Reduced-Rank Topology Learning for Robust and Scalable Graph Neural Networks Chenhui Deng Xiuyu Li Zhuobo Feng Zhiru Zhang AAML 48 21 0 30 Jan 2022
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction Balakrishnan Varadarajan Ahmed S. Hefny A. Srivastava Khaled S. Refaat Nigamaa Nayakanti ... K. Chen B. Douillard C. Lam Drago Anguelov Benjamin Sapp 35 306 0 29 Nov 2021
SStaGCN: Simplified stacking based graph convolutional networks Jia Cai Zhilong Xiong Shaogao Lv GNN 30 1 0 16 Nov 2021
Raising context awareness in motion forecasting H. Ben-younes Éloi Zablocki Mickaël Chen P. Pérez Matthieu Cord TTA 29 11 0 16 Sep 2021
Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty B. Ivanovic Kuan-Hui Lee P. Tokmakov Blake Wulfe R. McAllister Adrien Gaidon Marco Pavone 22 35 0 26 Apr 2021
MVFuseNet: Improving End-to-End Object Detection and Motion Forecasting through Multi-View Fusion of LiDAR Data A. Laddha Shivam Gautam Stefan Palombo Shreyash Pandey Carlos Vallespi-Gonzalez 3DPC 83 29 0 21 Apr 2021
Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset Scott Ettinger Shuyang Cheng Benjamin Caine Chenxi Liu Hang Zhao ... Jiquan Ngiam Vijay Vasudevan Alexander McCauley Jonathon Shlens Drago Anguelov 129 530 0 20 Apr 2021
Multi-Modal Fusion Transformer for End-to-End Autonomous Driving Aditya Prakash Kashyap Chitta Andreas Geiger ViT 28 508 0 19 Apr 2021
On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors Osama Makansi Özgün Çiçek Yassine Marrakchi Thomas Brox 27 46 0 23 Mar 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data Sergio Casas Wenjie Luo R. Urtasun 3DPC 152 365 0 20 Jan 2021
Deep Structured Reactive Planning Jerry Liu Wenyuan Zeng R. Urtasun Ersin Yumer 64 30 0 18 Jan 2021
LaneRCNN: Distributed Representations for Graph-Centric Motion Forecasting Wenyuan Zeng Ming Liang Renjie Liao R. Urtasun GNN 20 176 0 17 Jan 2021
LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving Alexander Cui Sergio Casas Abbas Sadat Renjie Liao R. Urtasun 103 126 0 16 Jan 2021
Trajectory Prediction in Autonomous Driving with a Lane Heading Auxiliary Loss Ross Greer Nachiket Deo Mohan M. Trivedi 25 46 0 12 Nov 2020
End-to-end Contextual Perception and Prediction with Interaction Transformer Lingyun Luke Li Binh Yang Ming Liang Wenyuan Zeng Mengye Ren Sean Segal R. Urtasun ViT 24 117 0 13 Aug 2020
Implicit Latent Variable Model for Scene-Consistent Motion Forecasting Sergio Casas Cole Gulino Simon Suo Katie Z Luo Renjie Liao R. Urtasun 147 155 0 23 Jul 2020
Arbitrary-Oriented Scene Text Detection via Rotation Proposals Jianqi Ma Weiyuan Shao Hao Ye Li Wang Hong Wang Yingbin Zheng Xiangyang Xue 156 1,175 0 03 Mar 2017
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks Martin Engelcke Dushyant Rao Dominic Zeng Wang Chi Hay Tong Ingmar Posner 3DPC 190 520 0 21 Sep 2016