Research in our lab focuses on two intimately connected branches of vision research: computer vision and human vision. In both fields, we are intrigued by visual functionalities that give rise to semantically meaningful interpretations of the visual world.
In computer vision, we aspire to develop intelligent algorithms that perform important visual perception tasks such as object recognition, scene categorization, integrative scene understanding, human motion recognition, material recognition, etc.
In human vision, our curiosity leads us to study the underlying neural mechanisms that enable the human visual system to perform high level visual tasks with amazing speed and efficiency.
Fei-Fei Li: If we want our machines to think, we need to teach them to see.WIRED, 2015
Building an AI with the intelligence of a toddler: Fei-Fei Li at TED2015TED Blog, 2015