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CVPR
2004
IEEE
14 years 9 months ago
Efficient Belief Propagation for Early Vision
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
ICCV
2007
IEEE
14 years 9 months ago
Applications of parametric maxflow in computer vision
The maximum flow algorithm for minimizing energy functions of binary variables has become a standard tool in computer vision. In many cases, unary costs of the energy depend linea...
Vladimir Kolmogorov, Yuri Boykov, Carsten Rother
ECCV
2008
Springer
14 years 9 months ago
Continuous Energy Minimization Via Repeated Binary Fusion
Abstract. Variational problems, which are commonly used to solve lowlevel vision tasks, are typically minimized via a local, iterative optimization strategy, e.g. gradient descent....
Werner Trobin, Thomas Pock, Daniel Cremers, Horst ...
FPGA
2001
ACM
145views FPGA» more  FPGA 2001»
13 years 12 months ago
Simultaneous logic decomposition with technology mapping in FPGA designs
Conventional technology mapping algorithms for SRAM-based Field Programmable Gate Arrays (FPGAs) are normally carried out on a fixed logic decomposition of a circuit. The impact o...
Gang Chen, Jason Cong
DAM
2008
72views more  DAM 2008»
13 years 7 months ago
Minimization of circuit registers: Retiming revisited
In this paper, we address the following problem: given a synchronous digital circuit, is it possible to construct a new circuit computing the same function as the original one but...
Bruno Gaujal, Jean Mairesse