output
20072026
most citedVideo-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms

306 citations

Showing 2021Show all

10 papers · 1 filter

cs.IT2021

Deep learning for location based beamforming with NLOS channels

Luc Le Magoarou, Taha Yassine, Stéphane Paquelet +1

Massive MIMO systems are highly efficient but critically rely on accurate channel state information (CSI) at the base station in order to determine appropriate precoders. CSI acqui…

cs.CR202151 cited

Physical Side-Channel Attacks on Embedded Neural Networks: A Survey

Maria Méndez Real, Rubén Salvador

During the last decade, Deep Neural Networks (DNN) have progressively been integrated on all types of platforms, from data centers to embedded systems including low-power processor…

cond-mat.dis-nn2021

Diffuse field cross-correlations: scattering theory and electromagnetic experiments

Matthieu Davy, Philippe Besnier, Philipp del Hougne +7

The passive estimation of impulse responses from ambient noise correlations arouses increasing interest in seismology, acoustics, optics and electromagnetism. Assuming the equipart…

eess.SP2021

Estimation de ligne de base de capteurs d'humectation : int{é}gration et minimum locaux {à} diff{é}rentes {é}chelles

Jean-Yves Baudais, Melen Leclerc, Christophe Langrume

Dielectric wetness sensors are used in agriculture to detect the presence of water on foliage and to predict the risk of disease development. The measured electrical signal has a b…

eess.IV202118 cited

Lightweight Hardware Transform Design for the Versatile Video Coding 4K ASIC Decoders

Ibrahim Farhat, Wassim Hamidouche, Adrien Grill +2

Versatile Video Coding (VVC) is the next generation video coding standard finalized in July 2020. VVC introduces new coding tools enhancing the coding efficiency compared to its pr…

cs.SD2021

A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram Modeling

Xiaoyu Bie, Laurent Girin, Simon Leglaive +2

The Variational Autoencoder (VAE) is a powerful deep generative model that is now extensively used to represent high-dimensional complex data via a low-dimensional latent space lea…