Apr 17, 2023 · In this paper, a recursive joint attention model is proposed along with long short-term memory (LSTM) modules for the fusion of vocal and facial expressions in ...

In this paper, a recursive joint attention model is proposed along with long short-term memory (LSTM) modules for the fusion of vocal and facial expressions in ...

This code uses the Affwild2 dataset to validate the proposed approach for Dimensional Emotion Recognition. There are three major blocks in this repository to ...

In this paper, a recursive joint attention model is proposed along with long short-term memory (LSTM) modules for the fusion of vocal and facial expressions in ...

Apr 24, 2024 · Recursive joint attention for audio-visual fusion in regression based emotion recognition ; Compte rendu de conférence · Professeur. Granger, Éric.

In this paper, we introduce Recursive Joint. Cross-Modal Attention (RJCMA) to effectively capture both intra- and inter-modal relationships across audio, visual ...

A joint cross-attention fusion model that can effectively exploit the complementary inter-modal relationships, allowing for an accurate prediction of ...

In video-based emotion recognition (ER), it is important to effectively leverage the complementary relationship among audio (A) and visual (V) modalities, ...

Recursive Joint Attention for Audio-Visual Fusion in Regression Based Emotion Recognition. ICASSP 2023: 1-5. [c7]. view. electronic edition via DOI; unpaywalled ...

The joint cross-attentional AV fusion model provides a cost-effective solution that can outperform state-of-the-art approaches, even when the modalities are ...