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Wayformer: Motion Forecasting via Simple & Efficient Attention Networks

Wayformer: Motion Forecasting via Simple & Efficient Attention Networks

12 July 2022
Nigamaa Nayakanti
Rami Al-Rfou
Aurick Zhou
Kratarth Goel
Khaled S. Refaat
Benjamin Sapp
    AI4TS
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Papers citing "Wayformer: Motion Forecasting via Simple & Efficient Attention Networks"

13 / 163 papers shown
Title
Inference from Real-World Sparse Measurements
Inference from Real-World Sparse Measurements
Arnaud Pannatier
Kyle Matoba
F. Fleuret
AI4TS
20
0
0
20 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A
  Comprehensive Survey
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey
Huiyun Cao
Wenlong Zou
Yinkun Wang
Ting Song
Mengjun Liu
AAML
35
4
0
19 Oct 2022
Exploiting map information for self-supervised learning in motion
  forecasting
Exploiting map information for self-supervised learning in motion forecasting
Caio Azevedo
Thomas Gilles
S. Sabatini
D. Tsishkou
SSL
42
9
0
10 Oct 2022
LOPR: Latent Occupancy PRediction using Generative Models
LOPR: Latent Occupancy PRediction using Generative Models
Bernard Lange
Masha Itkina
Mykel J. Kochenderfer
AI4CE
39
5
0
03 Oct 2022
GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction
  Model
GATraj: A Graph- and Attention-based Multi-Agent Trajectory Prediction Model
Hao Cheng
Mengmeng Liu
Linyuan Chen
Hellward Broszio
Monika Sester
M. Yang
44
54
0
16 Sep 2022
ViP3D: End-to-end Visual Trajectory Prediction via 3D Agent Queries
ViP3D: End-to-end Visual Trajectory Prediction via 3D Agent Queries
Junru Gu
Chenxu Hu
Tian-Yi Zhang
Xuanyao Chen
Yilun Wang
Yue Wang
Hang Zhao
15
97
0
02 Aug 2022
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
286
5,723
0
29 Apr 2021
Large Scale Interactive Motion Forecasting for Autonomous Driving : The
  Waymo Open Motion Dataset
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
528
0
20 Apr 2021
Bottleneck Transformers for Visual Recognition
Bottleneck Transformers for Visual Recognition
A. Srinivas
Tsung-Yi Lin
Niki Parmar
Jonathon Shlens
Pieter Abbeel
Ashish Vaswani
SLR
267
973
0
27 Jan 2021
IntentNet: Learning to Predict Intention from Raw Sensor Data
IntentNet: Learning to Predict Intention from Raw Sensor Data
Sergio Casas
Wenjie Luo
R. Urtasun
3DPC
152
363
0
20 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
114
115
0
24 Aug 2020
Scaling Laws for Neural Language Models
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
226
4,424
0
23 Jan 2020
Spatially-Aware Graph Neural Networks for Relational Behavior
  Forecasting from Sensor Data
Spatially-Aware Graph Neural Networks for Relational Behavior Forecasting from Sensor Data
Sergio Casas
Cole Gulino
Renjie Liao
R. Urtasun
AI4CE
160
211
0
18 Oct 2019
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