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Graphics and Multimedia

Addressing challenges in geometric compression and multiresolution representations

We focus on new multimedia and graphics experiences made possible with the growth in computing power and storage. Our research focus spans the linear and interactive media spectrum, across television, broadband, and gaming. We seek to address the challenges involved in the high computational cost of producing, transmitting, and displaying complex models and multimedia signals, by researching multiresolution representations, signal enhancement, and compression of geometry and multimedia data.



Xian-Sheng Hua and Jin Li, Prajna: Towards Recognizing Whatever You Want from Images without Image Labeling, AAAI - Association for the Advancement of Artificial Intelligence, January 2015

Phil Pitts, Arrigo Benedetti, Malcolm Slaney, and Phil Chou, Time of Flight Tracer, no. MSR-TR-2014-142, 8 November 2014

Daniel Khashabi, Sebastian Nowozin, Jeremy Jancsary, and Andrew Fitzgibbon, Joint Demosaicing and Denoising via Learned Non-parametric Random Fields, in Transactions on Image Processing, IEEE – Institute of Electrical and Electronics Engineers, 1 October 2014

Pengfei Wan, Gene Cheung, Dinei Florencio, Cha Zhang, and Oscar Au, Image bit depth enhancement via maximum-a-posteriori estimation of graph AC component, IEEE – Institute of Electrical and Electronics Engineers, October 2014

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