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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.

 

Publications

Gerard Pons-Moll, Jonathan Taylor, Jamie Shotton, Aaron Hertzmann, and Andrew Fitzgibbon, Metric Regression Forests for Correspondence Estimation, in IJCV, Springer, August 2015.

Cha Zhang, Dinei Florencio, and Philip Chou, Graph Signal Processing - A Probabilistic Framework, no. MSR-TR-2015-31, April 2015.

Dinei Florencio and Zhengyou Zhang, Maximum a posteriori estimation of room impulse responses, IEEE – Institute of Electrical and Electronics Engineers, April 2015.

Lijun Zhu and Dinei Florencio, 3D numerical modeling of parametric speaker using finite-difference time-domain, IEEE – Institute of Electrical and Electronics Engineers, April 2015.

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