Wayformer: Motion Forecasting via Simple and Efficient Attention Networks
Nigamaa Nayakanti, Rami Al-Rfou, Aurick Zhou, Kratarth Goel, Khaled S. Refaat, Benjamin Sapp
May 2023Abstract
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

Member of Technical Staff - TLM
My research interests include language modeling, embodied AI, motion forecasting, and multilingual modeling.