Wheidima Carneiro de Melo

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 10

Top Topics

Principal Component Analysis

Facial Expression Analysis

Temporal Information

Top Venues

IEEE Trans. Affect. Comput.

Publications

Wheidima Carneiro de Melo, Eric Granger, Miguel Bordallo López
Facial expression analysis using Decomposed Multiscale Spatiotemporal Networks. Expert Syst. Appl. 236 (2024)
Wheidima Carneiro de Melo, Eric Granger, Miguel Bordallo López
MDN: A Deep Maximization-Differentiation Network for Spatio-Temporal Depression Detection. IEEE Trans. Affect. Comput. 14 (1) (2023)
Wheidima Carneiro de Melo, Eric Granger, Miguel Bordallo López
Facial Expression Analysis Using Decomposed Multiscale Spatiotemporal Networks. CoRR (2022)
R. Gnana Praveen, Wheidima Carneiro de Melo, Nasib Ullah, Haseeb Aslam, Osama Zeeshan, Théo Denorme, Marco Pedersoli, Alessandro L. Koerich, Simon Bacon, Patrick Cardinal, Eric Granger
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition. CVPR Workshops (2022)
Gnana Praveen Rajasekhar, Wheidima Carneiro de Melo, Nasib Ullah, Haseeb Aslam, Osama Zeeshan, Théo Denorme, Marco Pedersoli, Alessandro L. Koerich, Patrick Cardinal, Eric Granger
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition. CoRR (2022)
Wheidima Carneiro de Melo, Eric Granger, Abdenour Hadid
A Deep Multiscale Spatiotemporal Network for Assessing Depression From Facial Dynamics. IEEE Trans. Affect. Comput. 13 (3) (2022)
Wheidima Carneiro de Melo, Eric Granger, Miguel Bordallo López
Encoding Temporal Information For Automatic Depression Recognition From Facial Analysis. ICASSP (2020)
Wheidima Carneiro de Melo, Eric Granger, Abdenour Hadid
Depression Detection Based on Deep Distribution Learning. ICIP (2019)
Wheidima Carneiro de Melo, Eric Granger, Abdenour Hadid
Combining Global and Local Convolutional 3D Networks for Detecting Depression from Facial Expressions. FG (2019)
Usman Muhammad, Tuomas Holmberg, Wheidima Carneiro de Melo, Abdenour Hadid
Face Anti-Spoofing via Sample Learning Based Recurrent Neural Network (RNN). BMVC (2019)
Kenny V. dos Santos, Waldir Sabino da Silva Jr., Luiz E. S. e Silva, Felipe S. Farias, Wheidima Carneiro de Melo, Eddie Batista de Lima Filho
Discriminative filtering with principal component analysis and adaptive alignment. GCCE (2015)
Wheidima Carneiro de Melo, Eddie Batista de Lima Filho, Waldir Sabino da Silva Jr.
Electromyographic signal compression based on two-dimensional techniques. GCCE (2015)