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Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion
  Recognition

Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition

16 March 2021
Liam Schoneveld
Alice Othmani
Hazem Abdelkawy
ArXivPDFHTML

Papers citing "Leveraging Recent Advances in Deep Learning for Audio-Visual Emotion Recognition"

4 / 4 papers shown
Title
Neuromorphic Valence and Arousal Estimation
Neuromorphic Valence and Arousal Estimation
Lorenzo Berlincioni
Luca Cultrera
Federico Becattini
A. Bimbo
CVBM
10
3
0
29 Jan 2024
A vector quantized masked autoencoder for audiovisual speech emotion recognition
A vector quantized masked autoencoder for audiovisual speech emotion recognition
Samir Sadok
Simon Leglaive
Renaud Séguier
SSL
47
6
0
05 May 2023
Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space
  Using Joint Cross-Attention
Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space Using Joint Cross-Attention
R Gnana Praveen
Eric Granger
P. Cardinal
CVBM
35
31
0
19 Sep 2022
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for
  Uncertainty-Aware Multimodal Emotion Recognition
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition
M. Tellamekala
Shahin Amiriparian
Björn W. Schuller
Elisabeth André
T. Giesbrecht
M. Valstar
10
25
0
12 Jun 2022
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