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...
share
research
∙
03/29/2023
Transformer-based Self-supervised Multimodal Representation Learning for Wearable Emotion Recognition
Recently, wearable emotion recognition based on peripheral physiological...
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...
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...
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...
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...
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...
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...
research
∙
07/04/2022
Interaction Transformer for Human Reaction Generation
We address the challenging task of human reaction generation which aims ...
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...
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...
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...
research
∙
05/18/2021
Human Motion Prediction Using Manifold-Aware Wasserstein GAN
Human motion prediction aims to forecast future human poses given a prio...
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...
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...
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...
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 ...
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...
research
∙
11/01/2019
Clinical Depression and Affect Recognition with EmoAudioNet
Automatic analysis of emotions and affects from speech is an inherently ...
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...
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...
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...
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...
research
∙
05/10/2018
Deep Covariance Descriptors for Facial Expression Recognition
In this paper, covariance matrices are exploited to encode the deep conv...
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...
research
∙
07/20/2017