Our goal is to build digital representations of the world and utilise them to have a positive impact on the world. We use a range of algorithms and systems from machine learning/ AI, computer vision, and graphics.
Core Lab is a research group in the Department of Computer Science and Technology at the University of Cambridge.
Building digital representations of the world is a strategic priority for communities around the world. We are building systems for creating digital twins of people, objects, processes, and environments. We are especially interested in visual and 3D digital representations with geometry, physics, and context aware machine learning based algorithms with sound theoretical foundations and practical impact.
Brain and especially human brain is a fascinating structure. Understanding the brain more will tell us a lot about ourselves and the world. We are interested in encoding and connecting brain signals with images, video, 3D data, and text. This is a unique window into the brain and has wide applications ranging from computational visual creativity to prevention and treatment of critical health problems.
AI and in particular machine learning has been progressing so fast that we sometimes know that an algorithm works well under certain assumptions but know much less about why it works, when it fails, or how to control it intuitively and directly. Studying algorithms via first explaining them, then making predictions about their output based on our hypotheses, and finally controlling them effectively are thus fundamental problems our lab strives to solve.
Our research has diverse applications. We are running projects on digital capture and understanding of plants, healthcare, preservation of human heritage, computer assisted education tools, and artistic performance capture.
