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Publications associées (8)

Multi-temporal forest monitoring in the Swiss Alps with knowledge-guided deep learning

Devis Tuia, Gaston Jean Lenczner, Thiên-Anh Claris Nguyen, Marc Conrad Russwurm

Monitoring forests, in particular their response to climate and land use change, requires studying long time scales. While efficient deep learning methods have been developed to process short time series of satellite imagery, leveraging long time series of ...

Elsevier Science Inc2024

AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration

Mathieu Salzmann, Zheng Dang

In the current deep learning paradigm, the amount and quality of training data are as critical as the network architecture and its training details. However, collecting, processing, and annotating real data at scale is difficult, expensive, and time-consum ...

Ieee Computer Soc2023

Smart Textiles that Teach: Fabric‐Based Haptic Device Improves the Rate of Motor Learning

Dario Floreano, Vivek Ramachandran, Amy Roning Wu, Fabian Maximilian Schilling

People learn motor activities best when they are conscious of their errors and make a concerted effort to correct them. While haptic interfaces can facilitate motor training, existing interfaces are often bulky and do not always ensure post-training skill ...

2021

Unsupervised classification of snowflake images using a generative adversarial network and K-medoids classification

Alexis Berne, Jussi Sakari Leinonen

The increasing availability of sensors imaging cloud and precipitation particles, like the Multi-Angle Snowflake Camera (MASC), has resulted in datasets comprising millions of images of falling snowflakes. Automated classification is required for effective ...

2020

Massive Open Online Labs (MOOLs): An Innovative Solution to Achieving SDGs in the Global South

Denis Gillet, Christophe Salzmann, Yves Henri Philippe Piguet, Rayana Jaafar

In engineering education, laboratories represent an important academic resource as they provide practical training in addition to the fundamental theories. However, the acquisition of new machinery and the maintenance of the equipment imply a large investm ...

IEEE2019

The wheelchair as a full-body tool extending the peripersonal space

Olaf Blanke, Andrea Serino, Jean-Paul Noel, Elisa Canzoneri

Dedicated multisensory mechanisms in the brain represent peripersonal space (PPS), a limited portion of space immediately surrounding the body. Previous studies have illustrated the malleability of PPS representation through hand-object interaction, showin ...

Frontiers Research Foundation2015

eMersion: A New Paradigm for Web-Based Training in Mechanical Engineering Education

Denis Gillet

The Board of the Swiss Federal Institutes of Technology has launched in 2000 a new programme to promote the use of New Learning Technologies (NLT) at the Swiss Federal Institutes of Technology. The goal of this programme is to encourage a reform of traditi ...

2001

Evaluation Protocol for the extended M2VTS Database (XM2VTSDB)

This document describes a proposal for an evaluation protocol for the extended {M2VTS} database ({XM2VTSDB}) including the training of experts and supervisor. ...

IDIAP1998

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