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

16 March 2021

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

11 / 11 papers shown

Title
Neuromorphic Valence and Arousal Estimation Lorenzo Berlincioni Luca Cultrera Federico Becattini A. Bimbo CVBM 38 3 0 29 Jan 2024
A Transformer-Based Model With Self-Distillation for Multimodal Emotion Recognition in Conversations Hui Ma Jian Wang Hongfei Lin Bo Zhang Yijia Zhang Bo Xu 23 40 0 31 Oct 2023
A multimodal dynamical variational autoencoder for audiovisual speech representation learning Samir Sadok Simon Leglaive Laurent Girin Xavier Alameda-Pineda Renaud Séguier 28 11 0 05 May 2023
A vector quantized masked autoencoder for audiovisual speech emotion recognition Samir Sadok Simon Leglaive Renaud Séguier SSL 81 6 0 05 May 2023
Recursive Joint Attention for Audio-Visual Fusion in Regression based Emotion Recognition R Gnana Praveen Eric Granger P. Cardinal 27 10 0 17 Apr 2023
Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space Using Joint Cross-Attention R Gnana Praveen Eric Granger P. Cardinal CVBM 53 31 0 19 Sep 2022
Video-based Cross-modal Auxiliary Network for Multimodal Sentiment Analysis Rongfei Chen Wenju Zhou Yang Li Huiyu Zhou 19 19 0 30 Aug 2022
Distilled Non-Semantic Speech Embeddings with Binary Neural Networks for Low-Resource Devices Harlin Lee Aaqib Saeed 21 2 0 12 Jul 2022
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 31 25 0 12 Jun 2022
Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition R Gnana Praveen Eric Granger P. Cardinal CVBM 25 40 0 09 Nov 2021
Facial expression and attributes recognition based on multi-task learning of lightweight neural networks Andrey V. Savchenko CVBM 3DH 30 128 0 31 Mar 2021