Computer Perception

Overview

Much of the research in Computer Vision has focused on solving individual tasks like image or video classification, object detection, object tracking, to name only a few. These settings are suitable for narrow applications, but for complex applications like embodied intelligent assistants or self-driving cars we will need full perception models that deal with multiple modalities and have integrated scene understanding and reasoning capabilities comparable to humans.

In this workshop, we propose to zoom out from Computer Vision and discuss more generally about Computer Perception, with leading thinkers from Computer Vision/Machine Learning and Cognitive Sciences.

We will cover both modelling challenges and evaluation best practices.

For evaluation, among others, we will discuss the recently released Perception Test, that you can try yourself here.