Vision & Robotics
PhD student Jeremy Klotz talks about winning a Best Paper Award at ECCV2024 for developing the Minimalist Camera, which is designed to prioritize efficiency and privacy over unnecessary detail.
PhD student Didac Suris talks about his research and winning a Microsoft Research Fellowship.
Assistant Professor Carl Vondrick, Didac Souris, and Ruoshi Liu developed a computer vision algorithm for predicting human interactions and body language in video, a capability that could have applications for assistive technology, autonomous vehicles, and collaborative robots.
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 
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