Visual Computing

Modern CV and ARVR research requires high-end compute and storage support. In the current world, the solutions are primarily driven by deep learning-based algorithms which require large amounts of data for training Given the state-of-the-art technologies, it is apparent that most of the members in the consortium will be using deep learning algorithms which are computationally intensive and require specialized graphical processing unit based computing facilities. Setting up individual labs with every partner allows the purchase of limited compute power. Therefore, we propose to establish the Visual Computing lab with high powered servers and GPUs, which will serve as a central hub supporting the computational requirements of all the members of the TIH, including academic collaborators across the nation and startups.