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Publications associées (56)
SVGC-AVA: 360-Degree Video Saliency Prediction With Spherical Vector-Based Graph Convolution and Audio-Visual Attention
Pascal Frossard, Chenglin Li, Li Wei, Qin Yang, Yuelei Li
Viewers of 360-degree videos are provided with both visual modality to characterize their surrounding views and audio modality to indicate the sound direction. Though both modalities are important for saliency prediction, little work has been done by joint ...
Ieee-Inst Electrical Electronics Engineers Inc2024Observation of non-reciprocal harmonic conversion in real sounds
Romain Christophe Rémy Fleury, Hervé Lissek, Xinxin Guo
Reciprocity guarantees that in most media, sound transmission is symmetric between two points of space when the location of the source and receiver are interchanged. This fundamental law can be broken in non-linear media, often at the cost of detrimental i ...
2023Concurrent Evolution of Biomechanical and Physiological Parameters With Running-Induced Acute Fatigue
Kamiar Aminian, Anisoara Ionescu, Salil Apte, Gaëlle Prigent, Vincent Gremeaux
Understanding the influence of running-induced acute fatigue on the homeostasis of the body is essential to mitigate the adverse effects and optimize positive adaptations to training. Fatigue is a multifactorial phenomenon, which influences biomechanical, ...
FRONTIERS MEDIA SA2022A Variable Stiffness Magnetic Catheter Made of a Conductive Phase-Change Polymer for Minimally Invasive Surgery
Dario Floreano, Yegor Piskarev, Jun Shintake
Variable stiffness (VS) is an important feature that significantly enhances the dexterity of magnetic catheters used in minimally invasive surgeries. Existing magnetic catheters with VS consist of sensors, heaters, and tubular structures filled with low me ...
2022Blind as a Bat: Audible Echolocation on Small Robots
Martin Vetterli, Mihailo Kolundzija, Adrien Guillaume Olivier Hoffet, Adam James Scholefield, Frederike Dümbgen
For safe and efficient operation, mobile robots need to perceive their environment, and in particular, perform tasks such as obstacle detection, localization, and mapping. Although robots are often equipped with microphones and speakers, the audio modality ...
2022Learnable filter-banks for CNN-based audio applications
Nicolas Aspert, Benjamin Ricaud, Helena Peic Tukuljac, Laurent Colbois
We investigate the design of a convolutional layer where kernels are parameterized functions. This layer aims at being the input layer of convolutional neural networks for audio applications or applications involving time-series. The kernels are defined as ...
2022Neurorack: deep audio learning in hardware synthesizers
Deep learning models have provided extremely successful methods in most application fields by enabling unprecedented accuracy in various tasks. For audio applications, although the massive complexity of generative models allows handling complex temporal st ...
2021Surviving but not thriving: Comparing primary, vocational and higher education teachers' experiences during the COVID-19 lockdown
Helena Kovacs, Caroline Pulfrey, Emilie-Charlotte Monnier
In this paper we examine the impacts of the global pandemic in 2020 on different levels of education system, particularly looking at the changes in teaching practice. The health emergency caused closure of schools, and online distance education became a te ...
2021Design Patterns for Resource-Constrained Automated Deep-Learning Methods
We present an extensive evaluation of a wide variety of promising design patterns for automated deep-learning (AutoDL) methods, organized according to the problem categories of the 2019 AutoDL challenges, which set the task of optimizing both model accura ...
2020A 161-mW 56-Gb/s ADC-Based Discrete Multitone Wireline Receiver Data-Path in 14-nm FinFET
Andreas Peter Burg, Cosimo Aprile, Yusuf Leblebici, Alessandro Cevrero, Lukas Kull, Gain Kim, Ilter Ozkaya, Thomas Toifl
This article introduces a wireline receiver (RX) data-path employing discrete multi-tone (DMT) modulation for communicating over electrical links. The DMT RX incorporates a fully digital equalization data-path, with a synthesized and automatically placed a ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2020