
Shortest MultiSpline Bases for Generalized Sampling
Generalized sampling consists in the recovery of a function f, from the ...
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Optimal transportbased metric for SMLM
We propose the use of Flat Metric to assess the performance of reconstru...
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Robust Phase Unwrapping via Deep Image Prior for Quantitative Phase Imaging
Quantitative phase imaging (QPI) is an emerging labelfree technique tha...
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Generating Sparse Stochastic Processes Using Matched Splines
We provide an algorithm to generate trajectories of sparse stochastic pr...
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Deep Neural Networks with Trainable Activations and Controlled Lipschitz Constant
We introduce a variational framework to learn the activation functions o...
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TimeDependent Deep Image Prior for Dynamic MRI
We propose a novel unsupervised deeplearningbased algorithm to solve t...
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Native Banach spaces for splines and variational inverse problems
We propose a systematic construction of native Banach spaces for general...
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A unifying representer theorem for inverse problems and machine learning
The standard approach for dealing with the illposedness of the training...
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SelfSupervised Deep Active Accelerated MRI
We propose to simultaneously learn to sample and reconstruct magnetic re...
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Pocket Guide to Solve Inverse Problems with GlobalBioIm
GlobalBioIm is an opensource MATLAB library for solving inverse problem...
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An L1 Representer Theorem for MultipleKernel Regression
The theory of RKHS provides an elegant framework for supervised learning...
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Principled Design and Implementation of Steerable Detectors
We provide a complete pipeline for the detection of patterns of interest...
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Direct Reconstruction of Saturated Samples in BandLimited OFDM Signals
Given a set of samples, a few of them being possibly saturated, we propo...
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Fast Rotational Sparse Coding
We propose an algorithm for rotational sparse coding along with an effic...
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Diverse MBest Solutions by Dynamic Programming
Many computer vision pipelines involve dynamic programming primitives su...
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A representer theorem for deep neural networks
We propose to optimize the activation functions of a deep neural network...
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Fast PiecewiseAffine Motion Estimation Without Segmentation
Current algorithmic approaches for piecewise affine motion estimation ar...
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ContinuousDomain Solutions of Linear Inverse Problems with Tikhonov vs. Generalized TV Regularization
We consider linear inverse problems that are formulated in the continuou...
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CNNBased Projected Gradient Descent for Consistent Image Reconstruction
We present a new method for image reconstruction which replaces the proj...
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Efficient Inversion of MultipleScattering Model for Optical Diffraction Tomography
Optical diffraction tomography relies on solving an inverse scattering p...
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Learning Convex Regularizers for Optimal Bayesian Denoising
We propose a datadriven algorithm for the maximum a posteriori (MAP) es...
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Deep Convolutional Neural Network for Inverse Problems in Imaging
In this paper, we propose a novel deep convolutional neural network (CNN...
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On The Continuous Steering of the Scale of Tight Wavelet Frames
In analogy with steerable wavelets, we present a general construction of...
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Hessian SchattenNorm Regularization for Linear Inverse Problems
We introduce a novel family of invariant, convex, and nonquadratic func...
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On the Hilbert transform of wavelets
A wavelet is a localized function having a prescribed number of vanishin...
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Fast O(1) bilateral filtering using trigonometric range kernels
It is wellknown that spatial averaging can be realized (in space or fre...
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Fast spacevariant elliptical filtering using box splines
The efficient realization of linear spacevariant (nonconvolution) filt...
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Fast adaptive elliptical filtering using box splines
We demonstrate that it is possible to filter an image with an elliptic w...
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Gabor wavelet analysis and the fractional Hilbert transform
We propose an amplitudephase representation of the dualtree complex wa...
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Construction of Hilbert Transform Pairs of Wavelet Bases and Gaborlike Transforms
We propose a novel method for constructing Hilbert transform (HT) pairs ...
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On the Shiftability of DualTree Complex Wavelet Transforms
The dualtree complex wavelet transform (DTCWT) is known to exhibit bet...
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