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Deep learning based data manifold projection - a new regularization for inverse problems17 Oct 2017

Harshit Gupta
EPFL STI LIB

14:00

In this talk, I will present CNN-based projection on the data manifold as a new regularization scheme. Classical and iterative algorithms regularize the inverse problems by imposing prior on the real world data which is not true (like smoothness by $\ell_2$-norm and sharp edges by TV-norm). This results in solutions which are increasingly far from the true solutions as the ill-posedness of the problem increases. CNNs trained as high-dimensional (image-to-image) regressors have recently been used to efficiently solve inverse problems in imaging. However, these approaches not only lack any regularization but also are not able to enforce data fidelity and therefore, are unreliable in terms of the prior they impose and the measurement consistency of their solution. I will show that our scheme is built on the framework of Projected Gradient Descent (PGD) where the projector is replaced by the trained CNN. The gradient descent enforces the data fidelity, while the CNN recursively projects the solution closer to the space of desired reconstruction images. Since the projector is replaced with a CNN, I will present a relaxed PGD, which always converges. I will discuss a simple scheme to train a CNN to act like a projector. Finally, I will present experiments on sparse view Computed Tomography (CT) reconstruction for both noiseless and noisy measurements which show an improvement over the total-variation (TV) method and a recent CNN based technique.

GlobalBioIm Lib - v2: new tools, more flexibility, and improved composition rules.03 Oct 2017

Emmanuel Soubies
EPFL STI LIB

Exact Discretization of Continuous-Domain Linear Inverse Problems with Generalized TV Regularization Using B-Splines​24 Aug 2017

Thomas Debarre
EPFL STI LIB

Fractional Integral transforms and Time-Frequency Representations02 Jun 2017

Prof. Ahmed I. Zayed
Department of Mathematical Sciences DePaul University

First steps toward fast PET reconstruction30 May 2017

Mike McCann
EPFL STI LIB

Lipid membranes and surface reconstruction - a biologically inspired method for 3D segmentation16 May 2017

Nicolas Chiaruttini
University of Geneva

Optical Diffraction Tomography: Principles and Algorithms09 May 2017

Thanh-an Pham
EPFL STI LIB

Compressed Sensing for Dose Reduction in STEM Tomography11 Apr 2017

Laurène Donati
EPFL STI LIB

Chasing Mycobacteria10 Apr 2017

Virginie Uhlmann
EPFL STI LIB

Multifractal analysis for signal and image classification23 Mar 2017

Stéphane Jaffard
UPEC

3D SIM and measurements time-reallocation for scanning based systems: Introduction and preliminary results on these two problems14 Mar 2017

Emmanuel Soubies
EPFL STI LIB

Inverse problems and multimodality for biological imaging28 Feb 2017

Denis Fortun
EPFL STI LIB

RKHS to find the Representer Theorem for regularization operators whose null space is not finite dimensional09 Feb 2017

Harshit Gupta
EPFL STI LIB

A unified reconstruction framework for coherent imaging24 Jan 2017

Ferréol Soulez
EPFL STI LIB

BPConvNet for compressed sensing recovery in bioimaging10 Jan 2017

Kyong Jin
EPFL STI LIB

Steerable template detection based on maximum correlation: preliminary results13 Dec 2016

Adrien Depeursinge
EPFL STI LIB

Opportunities in Computational Imaging for Biomicroscopy06 Dec 2016

Prof. Michael Leibling
Idap Research Institute

A multiple scattering approach to diffraction tomography30 Nov 2016

Luc Zeng
EPFL STI LIB

Learning Optimal Shrinkage Splines for ADMM Algorithms22 Nov 2016

Ha Nguyen
EPFL STI LIB

SIGGRAPH ASIA 201601 Nov 2016

Daniel Schmitter
EPFL STI LIB

Lévy's Persian summers18 Oct 2016

Julien Fageot
EPFL STI LIB

High-quality parallel-ray X-ray CT back projection using optimized interpolation11 Oct 2016

Mike McCann
EPFL STI LIB

Algorithmic Aspects of Compressive Sensing03 Oct 2016

Verner Vlacic
Cambridge University

ICIP 201620 Sep 2016

Anaïs Badoual
EPFL STI LIB

Machine Vision forum in Heidelberg17 Aug 2016

Virginie Uhlmann
EPFL STI LIB

K-space interpolation using CV(complex valued)-CNN & sparse and low-rank model of ALOHA09 Aug 2016

Kyong Jin
EPFL STI LIB

Complete Compressed Sensing Framework for STEM Tomography19 Jul 2016

Laurène Donati
EPFL STI LIB

Trainable shrinkage splines: inverse problems meet deep learning28 Jun 2016

Ha Nguyen
EPFL STI LIB

A reconstruction framework for coherent imaging31 May 2016

Ferréol Soulez
EPFL STI LIB

Shape-Constrained Tracking with Active Contours17 May 2016

Virginie Uhlmann
EPFL STI LIB

Steerable Wavelet Machines (SWM): Learning Moving Frames for Texture Classification / Some results on MA-TIRF reconstruction and exact continuous penalties for l2-l0 minimization03 May 2016

Adrien Depeursinge, Emmanuel Soubies
EPFL STI LIB

Learning-Based approach in Single Molecule localization microscopy19 Apr 2016

Silvia Colabrese
Italian Institute of Technology, Genova, Italy