Computed tomography (CT) has become an essential part of modern science ...
In environments with sparse rewards, finding a good inductive bias for
e...
Learning meaningful representations is at the heart of many tasks in the...
Deep neural networks have been successful in many reinforcement learning...
Very large state spaces with a sparse reward signal are difficult to exp...
Many production processes are characterized by numerous and complex
caus...
Image blur and image noise are imaging artifacts intrinsically arising i...
Phase retrieval is the problem of reconstructing images from magnitude-o...
In this paper, we present our approach for the Helsinki Deblur Challenge...
Reconstructing images from their Fourier magnitude measurements is a pro...
Fourier phase retrieval is the problem of reconstructing a signal given ...
We propose a new approach to increase inference performance in environme...
We present a conceptually simple framework for object instance segmentat...
Cytoarchitecture describes the spatial organization of neuronal cells in...
Cytoarchitectonic maps provide microstructural reference parcellations o...
Human brain atlases provide spatial reference systems for data character...
Sample efficiency remains a fundamental issue of reinforcement learning....
Alpha matting aims to estimate the translucency of an object in a given
...
An important step of many image editing tasks is to extract specific obj...
In this paper, we propose the application of conditional generative
adve...
This paper extensively evaluates the vulnerability of capsule networks t...
Cytoarchitectonic parcellations of the human brain serve as anatomical
r...
Microscopic analysis of histological sections is considered the "gold
st...
We describe a learning-based approach to blind image deconvolution. It u...
We establish a link between Fourier optics and a recent construction fro...
Image denoising can be described as the problem of mapping from a noisy ...
Image denoising can be described as the problem of mapping from a noisy ...
After building a classifier with modern tools of machine learning we
typ...