Publications related to Time-Varying Segmentation for Mapping of Land Cover Changes

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy

Georges Wagnières, Xiaokang Wang, Sharib Ali

We present a comprehensive analysis of the submissions to the first edition of the Endoscopy Artefact Detection challenge (EAD). Using crowd-sourcing, this initiative is a step towards understanding the limitations of existing state-of-the-art computer vis ...

NATURE PUBLISHING GROUP2020

The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models

André Anjos

The segmentation of the retinal vasculature from eye fundus images represents one of the most fundamental tasks in retinal image analysis. Over recent years, increasingly complex approaches based on sophisticated Convolutional Neural Network architectures ...

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

Geometry in active learning for binary and multi-class image segmentation

Pascal Fua, Raphael Sznitman, Ksenia Konyushkova

We propose an active learning approach to image segmentation that exploits geometric priors to speed up and streamline the annotation process. It can be applied for both background foreground and multi-class segmentation tasks in 2D images and 3D image vol ...

2019

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Fei Pu

In this thesis, we study systems of linear and/or non-linear stochastic heat equations and fractional heat equations in spatial dimension

1

driven by space-time white noise. The main topic is the study of hitting probabilities for the solutions to these ...

EPFL2018

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models

Sylvain Calinon, Ajay Kumar Tanwani, Swati Krishnan

Generalizing manipulation skills to new situations requires extracting invariant patterns from demonstrations. For example, the robot needs to understand the demonstrations at a higher level while being invariant to the appearance of the objects, geometric ...

2018

Mean-Field methods for Structured Deep-Learning in Computer Vision

Pierre Bruno Baqué

In recent years, Machine Learning based Computer Vision techniques made impressive progress. These algorithms proved particularly efficient for image classification or detection of isolated objects. From a probabilistic perspective, these methods can predi ...

EPFL2018

Measurement and determinants of consistency across key pro-environmental consumption behaviours in EPFL community

Mehdi Tarik

This project focuses on the consistency and the reasons linked with some of the Environmental behaviors of EPFL community. A statistical and segmentation analysis will be performed, at first to investigate the consistency between people's behaviors and the ...

2018

Large-Scale Image Segmentation with Convolutional Networks

Pedro Henrique Oliveira Pinheiro

Object recognition is one of the most important problems in computer vision. However, visual recognition poses many challenges when tried to be reproduced by artificial systems. A main challenge is the problem of variability: objects can appear across huge ...

EPFL2017

Time-Varying Segmentation for Mapping of Land Cover Changes

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An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy

The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models

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

Geometry in active learning for binary and multi-class image segmentation

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models

Mean-Field methods for Structured Deep-Learning in Computer Vision

Measurement and determinants of consistency across key pro-environmental consumption behaviours in EPFL community

Large-Scale Image Segmentation with Convolutional Networks

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy

The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models

The stochastic heat equation: hitting probabilities and the probability density function of the supremum via Malliavin calculus

Measurement and determinants of consistency across key pro-environmental consumption behaviours in EPFL community

Mean-Field methods for Structured Deep-Learning in Computer Vision

Large-Scale Image Segmentation with Convolutional Networks

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

Generalizing Robot Imitation Learning with Invariant Hidden Semi-Markov Models

Geometry in active learning for binary and multi-class image segmentation

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