Kaustubh Neelathalli

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Many promising embedded computer vision applications, such as stereo estimation, rely on inference computation on Markov Random Fields (MRFs). Sequential Tree-Reweighted Message passing (TRW-S) is a superior MRF solving method, which provides better convergence and energy than others (e.g., belief propagation). Since software TRW-S solvers are slow, custom(More)
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