Wayformer: Motion Forecasting via Simple and Efficient Attention Networks

Abstract

Wayformer proposes a simple and efficient attention-based architecture for motion forecasting in autonomous driving.

Publication
Proceedings of the IEEE International Conference on Robotics and Automation
Rami Al-Rfou
Rami Al-Rfou
Member of Technical Staff - TLM

My research interests include language modeling, embodied AI, motion forecasting, and multilingual modeling.

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