Concept

Performance (art)

Publications associées (69)

Device Performance of Emerging Photovoltaic Materials (Version 1)

Mohammad Khaja Nazeeruddin, Fei Guo, Henry Snaith, Tor Jesper Jacobsson

Emerging photovoltaics (PVs) focus on a variety of applications complementing large scale electricity generation. Organic, dye-sensitized, and some perovskite solar cells are considered in building integration, greenhouses, wearable, and indoor application ...

WILEY-V C H VERLAG GMBH2020

Short spatial resolutions retrieval from a long pulse BOTDA trace

Luc Thévenaz, Zhisheng Yang, Simon Adrien Zaslawski, Sheng Wang

A novel, to the best of our knowledge, postprocessing technique is proposed to extract with a flexible and variable spatial resolution the information from Brillouin optical time-domain analyzers, obtained using a pulse longer than the acoustic settling ti ...

2020

Joint Learning of Semantic Alignment and Object Landmark Detection

Seungryong Kim

Convolutional neural networks (CNNs) based approaches for semantic alignment and object landmark detection have improved their performance significantly. Current efforts for the two tasks focus on addressing the lack of massive training data through weakly ...

IEEE2019

On the Evaluation and Real-World Usage Scenarios of Deep Vessel Segmentation for Funduscopy

André Anjos

We identify and address three research gaps in the field of vessel segmentation for funduscopy. The first focuses on the task of inference on high-resolution fundus images for which only a limited set of ground-truth data is publicly available. Notably, we ...

Idiap2019

A Personalized Approach to Improve Walking Detection in Real-Life Settings: Application to Children with Cerebral Palsy

Kamiar Aminian, Anisoara Ionescu, Lena Carcreff, Stéphane Armand

Although many methods have been developed to detect walking by using body-worn inertial sensors, their performances decline when gait patterns become abnormal, as seen in children with cerebral palsy (CP). The aim of this study was to evaluate if fine-tuni ...

2019

Short spatial resolutions retrieval from a long pulse BOTDA trace

Luc Thévenaz, Zhisheng Yang, Simon Adrien Zaslawski, Sheng Wang

A novel technique is proposed to obtain a flexible and variable spatial resolution from a conventional Brillouin optical time-domain analyzers using a fast post-processing algorithm. The approach is very attractive since a fine spatial resolution can be ob ...

SPIE2019

Absorption active dans un conduit avec écoulement à l'aide d'un liner électroacoustique

Hervé Lissek, Romain Boulandet, Sami Driss Karkar, Gaël Matten

Les objectifs ambitieux de réduction du bruit du transport aérien, spécifiés dans le programme européen de FlightPath 2050, incitent les constructeurs aéronautiques à développer des technologies innovantes pour limiter les émissions sonores à proximité des ...

2018

Optimizing Image Denoising for Long-Range Brillouin Distributed Fiber Sensing

Luc Thévenaz, Marcelo Alfonso Soto Hernandez

Linear and nonlinear two-dimensional image processing approaches are analyzed with the aim of removing noise from data acquired by distributed optical fiber sensors based on Brillouin optical time-domain analysis (BOTDA). The impact of the filter parameter ...

2018

Ultrafast electron energy-loss spectroscopy in transmission electron microscopy

Fabrizio Carbone, Enrico Pomarico, Renske Marjan van der Veen

In the quest for dynamic multimodal probing of a material's structure and functionality, it is critical to be able to quantify the chemical state on the atomic-/nanoscale using element-specific electronic and structurally sensitive tools such as electron e ...

CAMBRIDGE UNIV PRESS2018

Learning Word Vectors for 157 Languages

Prakhar Gupta, Edouard Grave

Distributed word representations, or word vectors, have recently been applied to many tasks in natural language processing, leading to state-of-the-art performance. A key ingredient to the successful application of these representations is to train them on ...

2018

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