Publications associées (66)

A VR-based workflow to assess perception of daylit views-out with a focus on dynamism and immersion

Marilyne Andersen, Caroline Karmann, Yunjoung Cho

Amongst the elements often overlooked in existing studies, dynamic movement and temporal changes in the content of views-out have been suggested to have a high potential to improve its perceived quality and occupant satisfaction. Moreover, in past and ongo ...
2023

Tone-mapping requirements in real-time videos for studying the dynamism of views-out in virtual reality

Marilyne Andersen, Caroline Karmann, Stephen William Wasilewski, Yunjoung Cho

Current view representation methods in VR predominantly rely on static photographs and tone-mapping operators without temporal variations, limiting the exploration of dynamic features in a view. This study presents an alternative workflow to capture dynami ...
2023

A New Representation Framework for View-Out Research

Yunjoung Cho

To address the current gap in view-out research, this study aims to develop a workflow able to accurately capture dynamic views in an experimental setting. In testing the suitability of the proposed methodology, we conducted two comparative studies on the ...
2023

Reinforcement Learning for Outdoor Balloon Navigation: A Successful Controller for an Autonomous Balloon

Mirko Kovac, Simon Jeger

Autonomous ballooning allows for energy-efficient long-range missions but introduces significant challenges for planning and control algorithms, due to their single degree of actuation: vertical rate control through either buoyancy or vertical thrust. Late ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2023

Causal Triplet: An Open Challenge for Intervention-centric Causal Representation Learning

Alexandre Massoud Alahi, Yuejiang Liu

Recent years have seen a surge of interest in learning high-level causal representations from low-level image pairs under interventions. Yet, existing efforts are largely limited to simple synthetic settings that are far away from real-world problems. In t ...
2023

Design of a Hyperloop System MockUp

Mario Paolone, Denis Tudor, Malicia Leipold, Tony Govoni

The thorough development of the hyperloop system does require the availability of reduced-scale models. They can be used for the fast prototyping of various components, as well as for studying critical phenomena that takes place in this peculiar transporta ...
IEEE2022

Reconstruction of the Hippocampus

Henry Markram, Felix Schürmann, Armando Romani, Michele Migliore

The hippocampus is a widely studied brain region thought to play an important role in higher cognitive functions such as learning, memory, and navigation. The amount of data on this region increases every day and delineates a complex and fragmented picture ...
Springer2022

The Canopy Pavilion: A lightweight shading structure using a deployable auxetic linkage membrane

Mark Pauly, Dieter Dietz, Florin Isvoranu, Arthur François Blanc, Tian Chen, Etienne Bouleau

We present the Canopy Pavilion, a lightweight shading structure for a social gathering space. The shading surface is realized as a tensioned auxetic linkage membrane, composed of two double-curved anticlastic layers separated by a compression pole. The mem ...
2022

Deep Learning Enables Individual Xenograft Cell Classification in Histological Images by Analysis of Contextual Features

Michaël Unser, Cathrin Brisken, Daniel Sage, Olivier Burri, Martin Weigert, Fabio De Martino, Quentin Juppet

Patient-Derived Xenografts (PDXs) are the preclinical models which best recapitulate inter- and intra-patient complexity of human breast malignancies, and are also emerging as useful tools to study the normal breast epithelium. However, data analysis gener ...
2021

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