Motion forecasting plays a critical role in enabling robots to anticipat...
Recent advances in self-supervised visual representation learning have p...
Nowadays, deep vision models are being widely deployed in safety-critica...
Recent works in autonomous driving have widely adopted the bird's-eye-vi...
As deep learning models are increasingly used in safety-critical
applica...
Learning-based trajectory prediction models have encountered great succe...
Vision-based depth estimation is a key feature in autonomous systems, wh...
This survey reviews explainability methods for vision-based self-driving...
In this era of active development of autonomous vehicles, it becomes cru...
In Computer Vision, Zero-Shot Learning (ZSL) aims at classifying unseen
...
Language grounding is an active field aiming at enriching textual
repres...
Zero-Shot Learning (ZSL) aims at classifying unlabeled objects by levera...
Representing the semantics of words is a long-standing problem for the
n...