Wheidima Carneiro de Melo

MDN: A Deep Maximization-Differentiation Network for Spatio-Temporal Depression Detection

Wheidima Carneiro de Melo, Éric Granger, Miguel Bordallo López · IEEE Transactions on Affective Computing · 2021 · 119 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +19

Combining Global and Local Convolutional 3D Networks for Detecting Depression from Facial Expressions

Wheidima Carneiro de Melo, Éric Granger, Abdenour Hadid · 2019 · 97 citations

Geometric Learning, Convolutional Neural Network, Engineering +25

A Deep Multiscale Spatiotemporal Network for Assessing Depression From Facial Dynamics

Wheidima Carneiro de Melo, Éric Granger, Abdenour Hadid · IEEE Transactions on Affective Computing · 2020 · 97 citations

A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition

R. Gnana Praveen, Wheidima Carneiro de Melo, Nasib Ullah et al. · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · 2022 · 97 citations

Engineering, Machine Learning, Multimodal Learning +25

Depression Detection Based on Deep Distribution Learning

Wheidima Carneiro de Melo, Éric Granger, Abdenour Hadid · 2019 · 96 citations

Convolutional Neural Network, Engineering, Machine Learning +21