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20152023
most citedDynamic Facial Expression Generation on Hilbert Hypersphere with Conditional Wasserstein Generative Adversarial Nets

65 citations · 157 across the 23 of their papers we have counts for

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Showing 2022Show all

8 papers · 1 filter

cs.CV2022★ 1 cited

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…

cs.CV2022

The Florence 4D Facial Expression Dataset

F. Principi, S. Berretti, C. Ferrari +3

Human facial expressions change dynamically, so their recognition / analysis should be conducted by accounting for the temporal evolution of face deformations either in 2D or 3D. W…

cs.CV2022

Automatic Estimation of Self-Reported Pain by Trajectory Analysis in the Manifold of Fixed Rank Positive Semi-Definite Matrices

Benjamin Szczapa, Mohamed Daoudi, Stefano Berretti +3

We propose an automatic method to estimate self-reported pain based on facial landmarks extracted from videos. For each video sequence, we decompose the face into four different re…

cs.CV2022

Generating Multiple 4D Expression Transitions by Learning Face Landmark Trajectories

Naima Otberdout, Claudio Ferrari, Mohamed Daoudi +2

In this work, we address the problem of 4D facial expressions generation. This is usually addressed by animating a neutral 3D face to reach an expression peak, and then get back to…

cs.CV2022★ 1 cited

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…

cs.LG2022

Fusion of Physiological and Behavioural Signals on SPD Manifolds with Application to Stress and Pain Detection

Yujin WU, Mohamed Daoudi, Ali Amad +2

Existing multimodal stress/pain recognition approaches generally extract features from different modalities independently and thus ignore cross-modality correlations. This paper pr…