105 citations · 106 across the 3 of their papers we have counts for
3 papers
Multi-level Attention Fusion Network for Audio-visual Event Recognition
Mathilde Brousmiche, Jean Rouat, Stéphane Dupont
Event classification is inherently sequential and multimodal. Therefore, deep neural models need to dynamically focus on the most relevant time window and/or modality of a video. I…
AVECL-UMONS database for audio-visual event classification and localization
Mathilde Brousmiche, Stéphane Dupont, Jean Rouat
We introduce the AVECL-UMons dataset for audio-visual event classification and localization in the context of office environments. The audio-visual dataset is composed of 11 event…
A Transformer-based joint-encoding for Emotion Recognition and Sentiment Analysis
Jean-Benoit Delbrouck, Noé Tits, Mathilde Brousmiche +1
Understanding expressed sentiment and emotions are two crucial factors in human multimodal language. This paper describes a Transformer-based joint-encoding (TBJE) for the task of…