Search Results for author: Sylvie Gibet

Found 9 papers, 0 papers with code

A Low-Cost Motion Capture Corpus in French Sign Language for Interpreting Iconicity and Spatial Referencing Mechanisms

no code implementations LREC 2022 Clémence Mertz, Vincent Barreaud, Thibaut Le Naour, Damien Lolive, Sylvie Gibet

The automatic translation of sign language videos into transcribed texts is rarely approached in its whole, as it implies to finely model the grammatical mechanisms that govern these languages.

A New Spatio-Temporal Loss Function for 3D Motion Reconstruction and Extended Temporal Metrics for Motion Evaluation

no code implementations16 Oct 2022 Mansour Tchenegnon, Sylvie Gibet, Thibaut Le Naour

We propose a new loss function that we call Laplacian loss, based on spatio-temporal Laplacian representation of the motion as a graph.

3D Human Pose Estimation

LSF-ANIMAL: A Motion Capture Corpus in French Sign Language Designed for the Animation of Signing Avatars

no code implementations LREC 2020 Lucie Naert, Caroline Larboulette, Sylvie Gibet

To overcome this lack of authenticity, solutions in which the avatar is animated from motion capture data are promising.

Down-Sampling coupled to Elastic Kernel Machines for Efficient Recognition of Isolated Gestures

no code implementations18 Aug 2014 Pierre-François Marteau, Sylvie Gibet, Clement Reverdy

In the field of gestural action recognition, many studies have focused on dimensionality reduction along the spatial axis, to reduce both the variability of gestural sequences expressed in the reduced space, and the computational complexity of their processing.

Action Recognition Dimensionality Reduction +2

A Database of Full Body Virtual Interactions Annotated with Expressivity Scores

no code implementations LREC 2014 Demulier Virginie, Elisabetta Bevacqua, Florian Focone, Tom Giraud, Pamela Carreno, Brice Isableu, Sylvie Gibet, Pierre De Loor, Jean-Claude Martin

Recent technologies enable the exploitation of full body expressions in applications such as interactive arts but are still limited in terms of dyadic subtle interaction patterns.

On Recursive Edit Distance Kernels with Application to Time Series Classification

no code implementations27 May 2010 Pierre-François Marteau, Sylvie Gibet

The classification experiment we conducted on three classical time warp distances (two of which being metrics), using Support Vector Machine classifier, leads to conclude that, when the pairwise distance matrix obtained from the training data is \textit{far} from definiteness, the positive definite recursive elastic kernels outperform in general the distance substituting kernels for the classical elastic distances we have tested.

General Classification Time Series +2

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