activity
20152025
most citedMultimodal Fusion with Deep Neural Networks for Audio-Video Emotion Recognition

43 citations · 132 across the 28 of their papers we have counts for

collaborators

32 papers

cs.CL2025

Automatic Proficiency Assessment in L2 English Learners

Armita Mohammadi, Alessandro Lameiras Koerich, Laureano Moro-Velazquez +1

Second language proficiency (L2) in English is usually perceptually evaluated by English teachers or expert evaluators, with the inherent intra- and inter-rater variability. This p…

cs.CV2023

Recursive Joint Attention for Audio-Visual Fusion in Regression based Emotion Recognition

R Gnana Praveen, Eric Granger, Patrick Cardinal

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

cs.CV2022★ 4 cited

Audio-Visual Fusion for Emotion Recognition in the Valence-Arousal Space Using Joint Cross-Attention

R Gnana Praveen, Eric Granger, Patrick Cardinal

Automatic emotion recognition (ER) has recently gained lot of interest due to its potential in many real-world applications. In this context, multimodal approaches have been shown…

cs.SD2022★ 2 cited

RSD-GAN: Regularized Sobolev Defense GAN Against Speech-to-Text Adversarial Attacks

Mohammad Esmaeilpour, Nourhene Chaalia, Patrick Cardinal

This paper introduces a new synthesis-based defense algorithm for counteracting with a varieties of adversarial attacks developed for challenging the performance of the cutting-edg…

cs.LG2022★ 2 cited

RCC-GAN: Regularized Compound Conditional GAN for Large-Scale Tabular Data Synthesis

Mohammad Esmaeilpour, Nourhene Chaalia, Adel Abusitta +3

This paper introduces a novel generative adversarial network (GAN) for synthesizing large-scale tabular databases which contain various features such as continuous, discrete, and b…

cs.SD2022

Named Entity Recognition for Audio De-Identification

Guillaume Baril, Patrick Cardinal, Alessandro Lameiras Koerich

Data anonymization is often a task carried out by humans. Automating it would reduce the cost and time required to complete this task. This paper presents a pipeline to automate th…