Vision & Robotics
Research papers from the Computer Vision Group were accepted to the International Conference on Computer Vision (ICCV '23), the premiere international conference that includes computer vision workshops and tutorials.
Second-year PhD student Cheng Chi talks about how his second project won a Best Paper Award at RSS 2022.
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.
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.
The Barnard Accessible and Accelerated Robotics Lab 
Computer-Enabled Abilities Laboratory 
Digital Video and Multimedia 
Robotics Laboratory 
Add to GMail