58 citations · 86 across the 4 of their papers we have counts for
4 papers
Learning to Deblur
Christian J. Schuler, Michael Hirsch, Stefan Harmeling +1
We describe a learning-based approach to blind image deconvolution. It uses a deep layered architecture, parts of which are borrowed from recent work on neural network learning, an…
Image denoising with multi-layer perceptrons, part 1: comparison with existing algorithms and with bounds
Harold Christopher Burger, Christian J. Schuler, Stefan Harmeling
Image denoising can be described as the problem of mapping from a noisy image to a noise-free image. The best currently available denoising methods approximate this mapping with cl…
Image denoising with multi-layer perceptrons, part 2: training trade-offs and analysis of their mechanisms
Harold Christopher Burger, Christian J. Schuler, Stefan Harmeling
Image denoising can be described as the problem of mapping from a noisy image to a noise-free image. In another paper, we show that multi-layer perceptrons can achieve outstanding…
Entropy Search for Information-Efficient Global Optimization
Philipp Hennig, Christian J. Schuler
Contemporary global optimization algorithms are based on local measures of utility, rather than a probability measure over location and value of the optimum. They thus attempt to c…