Mohamed Daoudi

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Featured Co-authors

Nicu Sebe
171 publications
Hao Tang
151 publications
Yunhong Wang
62 publications
Alberto Del Bimbo
61 publications
Di Huang
56 publications
Stefano Berretti
18 publications
Martin Bauer
17 publications
Anis Kacem
16 publications
Nicolas Charon
14 publications
Claudio Ferrari
13 publications
Alice Othmani
13 publications

research

∙ 06/27/2023

Toward Mesh-Invariant 3D Generative Deep Learning with Geometric Measures

3D generative modeling is accelerating as the technology allowing the ca...

0 Thomas Besnier, et al. ∙

research

∙ 03/29/2023

Transformer-based Self-supervised Multimodal Representation Learning for Wearable Emotion Recognition

Recently, wearable emotion recognition based on peripheral physiological...

0 Yujin WU, et al. ∙

research

∙ 01/24/2023

Bipartite Graph Diffusion Model for Human Interaction Generation

The generation of natural human motion interactions is a hot topic in co...

0 Baptiste Chopin, et al. ∙

research

∙ 11/23/2022

BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes

We present BaRe-ESA, a novel Riemannian framework for human body scan re...

0 Emmanuel Hartman, et al. ∙

research

∙ 09/05/2022

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

We propose an automatic method to estimate self-reported pain based on f...

0 Benjamin Szczapa, et al. ∙

research

∙ 07/29/2022

Generating Complex 4D Expression Transitions by Learning Face Landmark Trajectories

In this work, we address the problem of 4D facial expressions generation...

3 Naima Otberdout, et al. ∙

research

∙ 07/25/2022

3D Shape Sequence of Human Comparison and Classification using Current and Varifolds

In this paper we address the task of the comparison and the classificati...

0 Emery Pierson, et al. ∙

research

∙ 07/17/2022

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

Existing multimodal stress/pain recognition approaches generally extract...

7 Yujin WU, et al. ∙

research

∙ 07/04/2022

Interaction Transformer for Human Reaction Generation

We address the challenging task of human reaction generation which aims ...

0 Baptiste Chopin, et al. ∙

research

∙ 03/01/2022

3D Skeleton-based Human Motion Prediction with Manifold-Aware GAN

In this work we propose a novel solution for 3D skeleton-based human mot...

0 Baptiste Chopin, et al. ∙

research

∙ 11/27/2021

Projection-based Classification of Surfaces for 3D Human Mesh Sequence Retrieval

We analyze human poses and motion by introducing three sequences of easi...

0 Emery Pierson, et al. ∙

research

∙ 08/25/2021

A Riemannian Framework for Analysis of Human Body Surface

We propose a novel framework for comparing 3D human shapes under the cha...

0 Emery Pierson, et al. ∙

research

∙ 05/18/2021

Human Motion Prediction Using Manifold-Aware Wasserstein GAN

Human motion prediction aims to forecast future human poses given a prio...

0 Baptiste Chopin, et al. ∙

research

∙ 05/16/2021

3D to 4D Facial Expressions Generation Guided by Landmarks

While deep learning-based 3D face generation has made a progress recentl...

11 Naima Otberdout, et al. ∙

research

∙ 05/05/2021

Magnifying Subtle Facial Motions for Effective 4D Expression Recognition

In this paper, an effective pipeline to automatic 4D Facial Expression R...

0 Qingkai Zhen, et al. ∙

research

∙ 04/28/2021

Hybrid Approach for 3D Head Reconstruction: Using Neural Networks and Visual Geometry

Recovering the 3D geometric structure of a face from a single input imag...

0 Oussema Bouafif, et al. ∙

research

∙ 06/24/2020

Modelling the Statistics of Cyclic Activities by Trajectory Analysis on the Manifold of Positive-Semi-Definite Matrices

In this paper, a model is presented to extract statistical summaries to ...

0 Ettore Maria Celozzi, et al. ∙

research

∙ 06/24/2020

Automatic Estimation of Self-Reported Pain by Interpretable Representations of Motion Dynamics

We propose an automatic method for pain intensity measurement from video...

0 Benjamin Szczapa, et al. ∙

research

∙ 11/01/2019

Clinical Depression and Affect Recognition with EmoAudioNet

Automatic analysis of emotions and affects from speech is an inherently ...

0 Emna Rejaibi, et al. ∙

research

∙ 08/01/2019

Fitting, Comparison, and Alignment of Trajectories on Positive Semi-Definite Matrices with Application to Action Recognition

In this paper, we tackle the problem of action recognition using body sk...

1 Benjamin Szczapa, et al. ∙

research

∙ 07/23/2019

Dynamic Facial Expression Generation on Hilbert Hypersphere with Conditional Wasserstein Generative Adversarial Nets

In this work, we propose a novel approach for generating videos of the s...

8 Naima Otberdout, et al. ∙

research

∙ 10/25/2018

Automatic Analysis of Facial Expressions Based on Deep Covariance Trajectories

In this paper, we propose a new approach for facial expression recogniti...

8 Naima Otberdout, et al. ∙

research

∙ 06/29/2018

A Novel Geometric Framework on Gram Matrix Trajectories for Human Behavior Understanding

In this paper, we propose a novel space-time geometric representation of...

0 Anis Kacem, et al. ∙

research

∙ 05/10/2018

Deep Covariance Descriptors for Facial Expression Recognition

In this paper, covariance matrices are exploited to encode the deep conv...

2 Naima Otberdout, et al. ∙

research

∙ 07/22/2017

Emotion Recognition by Body Movement Representation on the Manifold of Symmetric Positive Definite Matrices

Emotion recognition is attracting great interest for its potential appli...

0 Mohamed Daoudi, et al. ∙

research

∙ 07/20/2017

A Novel Space-Time Representation on the Positive Semidefinite Con for Facial Expression Recognition

In this paper, we study the problem of facial expression recognition usi...

0 Anis Kacem, et al. ∙

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