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
Showing 2021Show all

5 papers · 1 filter

cs.LG2021

Bi-Discriminator Class-Conditional Tabular GAN

Mohammad Esmaeilpour, Nourhene Chaalia, Adel Abusitta +3

This paper introduces a bi-discriminator GAN for synthesizing tabular datasets containing continuous, binary, and discrete columns. Our proposed approach employs an adapted preproc…

cs.CV2021★ 1 cited

Cross Attentional Audio-Visual Fusion for Dimensional Emotion Recognition

R. Gnana Praveen, Eric Granger, Patrick Cardinal

Multimodal analysis has recently drawn much interest in affective computing, since it can improve the overall accuracy of emotion recognition over isolated uni-modal approaches. Th…

cs.SD2021

Towards Robust Speech-to-Text Adversarial Attack

Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich

This paper introduces a novel adversarial algorithm for attacking the state-of-the-art speech-to-text systems, namely DeepSpeech, Kaldi, and Lingvo. Our approach is based on develo…

cs.SD2021

Multi-Discriminator Sobolev Defense-GAN Against Adversarial Attacks for End-to-End Speech Systems

Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich

This paper introduces a defense approach against end-to-end adversarial attacks developed for cutting-edge speech-to-text systems. The proposed defense algorithm has four major ste…

cs.SD2021★ 11 cited

Cyclic Defense GAN Against Speech Adversarial Attacks

Mohammad Esmaeilpour, Patrick Cardinal, Alessandro Lameiras Koerich

This paper proposes a new defense approach for counteracting state-of-the-art white and black-box adversarial attack algorithms. Our approach fits into the implicit reactive defens…