MotionLM: Multi-Agent Motion Forecasting as Language Modeling-Reference-Cited by-同舟云学术

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MotionLM: Multi-Agent Motion Forecasting as Language Modeling

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF International Conference on Computer Vision (ICCV)
language:
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Author:

Seff Ari¹,Cera Brian¹,Chen Dian¹,Ng Mason¹,Zhou Aurick¹,Nayakanti Nigamaa¹,Refaat Khaled S.¹,Al-Rfou Rami¹,Sapp Benjamin¹

Affiliation:

1. Waymo

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10376473/10376477/10377717.pdf?arnumber=10377717

Reference52 articles.

1. AudioLM: A Language Modeling Approach to Audio Generation

2. Language models are few-shot learners;Brown;Advances in neural information processing systems,2020

3. nuScenes: A Multimodal Dataset for Autonomous Driving

4. Intentnet: Learning to predict intention from raw sensor data;Casas

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