Publications related to Beyond KernelBoost

Data for: "A Neural-Network-Based Convex Regularizer for Inverse Problems"

Michaël Unser, Pakshal Narendra Bohra, Alexis Marie Frederic Goujon, Sebastian Jonas Neumayer, Stanislas Ducotterd

Data for: "A Neural-Network-Based Convex Regularizer for Inverse Problems". The corresponding scripts can be accessed on GitHub (https://github.com/axgoujon/convex_ridge_regularizers). The data is organized as follows: - ct_data_sets.tar.gz: contains prepr ...

EPFL Infoscience2023

An Ultra Low-Noise Micropower PPG Sensor

Antonino Caizzone

Nowadays, efficient and remote health monitoring is becoming increasingly important, given both the ageing of population and the combined action of an increase in obesity level and cardiovascular diseases. The healthcare industry is becoming more reliant o ...

EPFL2020

On the 2D Post-Processing of Brillouin Optical Time-Domain Analysis

Luc Thévenaz, Zhisheng Yang, Simon Adrien Zaslawski

The benefits and limitations inherent to the 2D post-processing of measurements from Brillouin optical time-domain analyzers are investigated from a fundamental point of view. In a preliminary step, the impact of curve fitting on the precision of the estim ...

2020

Achieving high-resolution thermal imagery in low-contrast lake surface waters by aerial remote sensing and image registration

David Andrew Barry, Ulrich Lemmin, Daniel Sage, Abolfazl Irani Rahaghi

A two-platform measurement system for realizing airborne thermography of the Lake Surface Water Temperature (LSWT) with ~0.8 m pixel resolution (sub-pixel satellite scale) is presented. It consists of a tethered Balloon Launched Imaging and Monitoring Plat ...

2019

Achieving high-resolution thermal imagery in low-contrast lake surface waters by aerial remote sensing and image registration

David Andrew Barry, Ulrich Lemmin, Daniel Sage, Abolfazl Irani Rahaghi

A two-platform measurement system for realizing airborne thermography of the Lake Surface Water Temperature (LSWT) with ~0.8 m pixel resolution (sub-pixel satellite scale) is presented. It consists of a tethered Balloon Launched Imaging and Monitoring Plat ...

2019

A Bit Too Much? High Speed Imaging from Sparse Photon Counts

Edoardo Charbon, Claudio Bruschini, Samuel Burri

Recent advances in photographic sensing technologies have made it possible to achieve light detection in terms of a single photon. Photon counting sensors are being increasingly used in many diverse applications. We address the problem of jointly recoverin ...

IEEE2019

A mobile measurement platform and an image processing procedure for high-resolution aerial thermal imagery of lake surface water temperatures

David Andrew Barry, Ulrich Lemmin, Daniel Sage, Abolfazl Irani Rahaghi

A mobile platform for carrying out Lake Surface Water Temperature (LSWT) thermography with O(1 m) pixel resolution is presented. It consists of (i) a small balloon carrying a thermal and RGB imagery package tethered to a winch on a boat, and (ii) an autono ...

2018

Extracting Maya Glyphs from Degraded Ancient Documents via Image Segmentation

Daniel Gatica-Perez, Jean-Marc Odobez, Rui Hu

We present a system for automatically extracting hieroglyph strokes from images of degraded ancient Maya codices. Our system adopts a region-based image segmentation framework. Multi-resolution super-pixels are first extracted to represent each image. A Su ...

2017

A method for reducing noise in measurements taken by a distributed sensor

Marcelo Alfonso Soto Hernandez

According to the present invention there is provided a method of sensing comprising the steps of, (a) acquiring plurality of measurement values using a distributed optical fibre sensor; (b) arranging the plurality of measurement values in a matrix having a ...

2016

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Martin Vetterli, Arash Amini, Mitra Fatemi

We present a sampling theory for a class of binary images with finite rate of innovation (FRI). Every image in our model is the restriction of

\mathds{1}_{\{p\leq0\}}

to the image plane, where

\mathds{1}

denotes the indicator function and

p

is some r ...

2016

Beyond KernelBoost

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Data for: "A Neural-Network-Based Convex Regularizer for Inverse Problems"

An Ultra Low-Noise Micropower PPG Sensor

On the 2D Post-Processing of Brillouin Optical Time-Domain Analysis

Achieving high-resolution thermal imagery in low-contrast lake surface waters by aerial remote sensing and image registration

Achieving high-resolution thermal imagery in low-contrast lake surface waters by aerial remote sensing and image registration

A Bit Too Much? High Speed Imaging from Sparse Photon Counts

A mobile measurement platform and an image processing procedure for high-resolution aerial thermal imagery of lake surface water temperatures

Extracting Maya Glyphs from Degraded Ancient Documents via Image Segmentation

A method for reducing noise in measurements taken by a distributed sensor

Sampling and Reconstruction of Shapes with Algebraic Boundaries

An Ultra Low-Noise Micropower PPG Sensor

Data for: "A Neural-Network-Based Convex Regularizer for Inverse Problems"

On the 2D Post-Processing of Brillouin Optical Time-Domain Analysis

A Bit Too Much? High Speed Imaging from Sparse Photon Counts

A method for reducing noise in measurements taken by a distributed sensor

Sampling and Reconstruction of Shapes with Algebraic Boundaries

Achieving high-resolution thermal imagery in low-contrast lake surface waters by aerial remote sensing and image registration

Achieving high-resolution thermal imagery in low-contrast lake surface waters by aerial remote sensing and image registration

Extracting Maya Glyphs from Degraded Ancient Documents via Image Segmentation

A mobile measurement platform and an image processing procedure for high-resolution aerial thermal imagery of lake surface water temperatures