Concept

Harris affine region detector

Publications associées (100)

Domain adaptation via alignment of operation profile for Remaining Useful Lifetime prediction

Effective Prognostics and Health Management (PHM) relies on accurate prediction of the Remaining Useful Life (RUL). Data-driven RUL prediction techniques rely heavily on the representativeness of the available time-to-failure trajectories. Therefore, these ...

2024

Incorporating Projective Geometry into Deep Learning

Michal Jan Tyszkiewicz

In this thesis we explore the applications of projective geometry, a mathematical theory of the relation between 3D scenes and their 2D images, in modern learning-based computer vision systems. This is an interesting research question which contradicts the ...

EPFL2024

Tracking Adaptation to Improve SuperPoint for 3D Reconstruction in Endoscopy

Pascal Fua

Endoscopy is the gold standard procedure for early detection and treatment of numerous diseases. Obtaining 3D reconstructions from real endoscopic videos would facilitate the development of assistive tools for practitioners, but it is a challenging problem ...

Springer2023

Influence de la texture périurbaine sur la durabilité d’un quartier

Sophie Lufkin

Le présent chapitre a pour objectif d’évaluer la durabilité des neuf visions développées dans le cadre de l’atelier de projet du Prof. Emmanuel Rey pour la création d’une nouvelle polarité périurbaine à proximité immédiate du terminus de la ligne Lausanne- ...

Presses polytechniques et universitaires romandes2022

Image-based geometric digital twinning for stone masonry elements

Katrin Beyer, Bryan German Pantoja Rosero, Savvas Saloustros

We present an image-based pipeline for generating geometrical digital twins (GDTs) of stone masonry elements with detail down to the stone level. For this purpose, we acquire RGB images of the individual stones and of the wall during the construction phase ...

2022

Gradient-based Methods for Deep Model Interpretability

Suraj Srinivas

In this dissertation, we propose gradient-based methods for characterizing model behaviour for the purposes of knowledge transfer and post-hoc model interpretation. Broadly, gradients capture the variation of some output feature of the model upon unit vari ...

EPFL2021

From Human-Designed Convolutional Neural Networks Towards Robust Neural Architecture Search

Kaicheng Yu

Artificial intelligence has been an ultimate design goal since the inception of computers decades ago. Among the many attempts towards general artificial intelligence, modern machine learning successfully tackles many complex problems thanks to the progres ...

EPFL2021

Agito ergo sum: Correlates of spatio-temporal motion characteristics during fMRI

Dimitri Nestor Alice Van De Ville, Thomas William Arthur Bolton

The impact of in-scanner motion on functional magnetic resonance imaging (fMRI) data has a notorious reputation in the neuroimaging community. State-of-the-art guidelines advise to scrub out excessively corrupted frames as assessed by a composite framewise ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2020

Nouvelles polarités suburbaines : comment comparer des visions projectuelles sous l'angle de leur profil de durabilité ?

Sophie Lufkin

La dimension holistique inhérente au concept de durabilité a induit des transformations radicales dans les pratiques architecturales et urbanistiques. La complexité croissante qui en découle entraîne la nécessité, pour les professionnels de l'espace, de di ...

2019

Detecting the Unexpected via Image Resynthesis

Pascal Fua, Mathieu Salzmann, Krzysztof Maciej Lis, Krishna Kanth Nakka

Classical semantic segmentation methods, including the recent deep learning ones, assume that all classes observed at test time have been seen during training. In this paper, we tackle the more realistic scenario where unexpected objects of unknown classes ...

IEEE2019

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