We introduce a novel type of total variation regularizer, TVS1 , for cyclic structures such as angles or hue values. The method handles the periodicity of values in a simple and c...
Abstract – In this paper, a variational message passing framework is proposed for Markov random fields. Analogous to the traditional belief propagation algorithm, variational mes...
In this paper we propose two fast Total Variation (TV) based algorithms for image restoration by utilizing variational posterior distribution approximation. The unknown image and ...
Bruno Amizic, S. Derin Babacan, K. Michael Ng, Raf...
This paper deals with the total variation minimization problem in image restoration for convex data fidelityfunctionals.Weproposeanewandfastalgorithmwhichcomputesanexactsolutionint...
In this paper, we propose the first metal-density driven placement algorithm to reduce CMP variation and achieve higher routability. Based on an analytical placement framework, we...
Tung-Chieh Chen, Minsik Cho, David Z. Pan, Yao-Wen...