Vision & Robotics

Professor Shree Nayar created the course that offers an interdisciplinary approach to computer vision. The specialization is designed for learners to acquire the foundational mathematical and physical underpinnings of computer vision.

The 2024 Computer Vision and Pattern Recognition (CVPR) Conference recognizes top research in computer vision, artificial intelligence (AI), machine learning (ML), augmented, virtual, and mixed reality (AR/VR/MR), deep learning, and more.

The new technology, called Neural Voice Camouflage, disguises words with custom noise.
About
The group studies the computational foundations for visual and robotic intelligence. They investigate machines that are able to perceive their surroundings and interact with them too.
The group of ten faculty often collaborate across the sciences and the arts. They leverage insights from both nature and math to advance the fundamentals of perception and interaction, and they also transfer their research to tackle practical challenges across disciplines. Several of the faculty are cross-listed with the Data Science Institute.