4 citations · 10 across the 10 of their papers we have counts for
11 papers
A Non-Invasive 3D Gait Analysis Framework for Quantifying Psychomotor Retardation in Major Depressive Disorder
Fouad Boutaleb, Emery Pierson, Mohamed Daoudi +3
Predicting the status of Major Depressive Disorder (MDD) from objective, non-invasive methods is an active research field. Yet, extracting automatically objective, interpretable fe…
Wearable-Derived Behavioral and Physiological Biomarkers for Classifying Unipolar and Bipolar Depression Severity
Yassine Ouzar, Clémence Nineuil, Fouad Boutaleb +3
Depression is a complex mental disorder characterized by a diverse range of observable and measurable indicators that go beyond traditional subjective assessments. Recent research…
Measuring Anxiety Levels with Head Motion Patterns in Severe Depression Population
Fouad Boutaleb, Emery Pierson, Nicolas Doudeau +3
Depression and anxiety are prevalent mental health disorders that frequently cooccur, with anxiety significantly influencing both the manifestation and treatment of depression. An…
PaNDaS: Learnable Deformation Modeling with Localized Control
Thomas Besnier, Emery Pierson, Sylvain Arguillere +2
Non-rigid shape deformations pose significant challenges, and most existing methods struggle to handle partial deformations effectively. We propose to learn deformations at the poi…
Basis restricted elastic shape analysis on the space of unregistered surfaces
Emmanuel Hartman, Emery Pierson, Martin Bauer +2
This paper introduces a new mathematical and numerical framework for surface analysis derived from the general setting of elastic Riemannian metrics on shape spaces. Traditionally,…
VariGrad: A Novel Feature Vector Architecture for Geometric Deep Learning on Unregistered Data
Emmanuel Hartman, Emery Pierson
We present a novel geometric deep learning layer that leverages the varifold gradient (VariGrad) to compute feature vector representations of 3D geometric data. These feature vecto…
Toward Mesh-Invariant 3D Generative Deep Learning with Geometric Measures
Thomas Besnier, Sylvain Arguillère, Emery Pierson +1
3D generative modeling is accelerating as the technology allowing the capture of geometric data is developing. However, the acquired data is often inconsistent, resulting in unregi…
BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes
Emmanuel Hartman, Emery Pierson, Martin Bauer +2
We present Basis Restricted Elastic Shape Analysis (BaRe-ESA), a novel Riemannian framework for human body scan representation, interpolation and extrapolation. BaRe-ESA operates d…
3D Shape Sequence of Human Comparison and Classification using Current and Varifolds
Emery Pierson, Mohamed Daoudi, Sylvain Arguillere
In this paper we address the task of the comparison and the classification of 3D shape sequences of human. The non-linear dynamics of the human motion and the changing of the surfa…
Projection-based Classification of Surfaces for 3D Human Mesh Sequence Retrieval
Emery Pierson, Juan-Carlos Alvarez Paiva, Mohamed Daoudi
We analyze human poses and motion by introducing three sequences of easily calculated surface descriptors that are invariant under reparametrizations and Euclidean transformations.…
A Riemannian Framework for Analysis of Human Body Surface
Emery Pierson, Mohamed Daoudi, Alice-Barbara Tumpach
We propose a novel framework for comparing 3D human shapes under the change of shape and pose. This problem is challenging since 3D human shapes vary significantly across subjects…