8.8k citations · 10.6k across the 35 of their papers we have counts for
3 papers · 1 filter
Wayformer: Motion Forecasting via Simple & Efficient Attention Networks
Nigamaa Nayakanti, Rami Al-Rfou, Aurick Zhou +3
Motion forecasting for autonomous driving is a challenging task because complex driving scenarios result in a heterogeneous mix of static and dynamic inputs. It is an open problem…
Narrowing the Coordinate-frame Gap in Behavior Prediction Models: Distillation for Efficient and Accurate Scene-centric Motion Forecasting
DiJia Su, Bertrand Douillard, Rami Al-Rfou +2
Behavior prediction models have proliferated in recent years, especially in the popular real-world robotics application of autonomous driving, where representing the distribution o…
VN-Transformer: Rotation-Equivariant Attention for Vector Neurons
Serge Assaad, Carlton Downey, Rami Al-Rfou +2
Rotation equivariance is a desirable property in many practical applications such as motion forecasting and 3D perception, where it can offer benefits like sample efficiency, bette…