Wheidima Carneiro de Melo

Author

University of Oulu ORCID

Also Known As

W. C. Melo, Wheidima C. Melo, Wheidima C. de Melo, Wheidima Carneiro de Melo, Wheidima Melo, de Melo, Wheidima Carneiro

Publications

647

Citations

H-Index

Concepts

All Affiliations

University of Oulu École de Technologie Supérieure VTT Technical Research Centre of Finland

About

Wheidima Carneiro de Melo is an author at University of Oulu specializing in computer vision, affective computing, and pattern recognition.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	510
2	Data Science	5	5	446
3	Medicine	3	3	312
4	Social Sciences	3	3	198
5	Computer Science	2	2	216

Wheidima Carneiro de Melo

Publications

617

Citations

H-Index

Page 1

	Year	Citations
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 Convolutional Neural NetworkEngineeringMachine LearningDeep Maximization-differentiation NetworkFacial Expression Variations	2021	119
Combining Global and Local Convolutional 3D Networks for Detecting Depression from Facial Expressions Wheidima Carneiro de Melo, Éric Granger, Abdenour Hadid Geometric LearningConvolutional Neural NetworkEngineeringMachine LearningVideo Interpretation	2019	97
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
A Joint Cross-Attention Model for Audio-Visual Fusion in Dimensional Emotion Recognition R. Gnana Praveen, Wheidima Carneiro de Melo, Nasib Ullah, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) EngineeringMachine LearningMultimodal LearningMultimodal Sentiment AnalysisAttention	2022	97
Depression Detection Based on Deep Distribution Learning Wheidima Carneiro de Melo, Éric Granger, Abdenour Hadid Convolutional Neural NetworkEngineeringMachine LearningAutoencodersDeep Learning Architecture	2019	96
Encoding Temporal Information For Automatic Depression Recognition From Facial Analysis Wheidima Carneiro de Melo, Éric Granger, Miguel Bordallo López Depression LevelsConvolutional Neural NetworkVideo ClipsMachine LearningEngineering	2020	64
Facial expression analysis using Decomposed Multiscale Spatiotemporal Networks Wheidima Carneiro de Melo, Éric Granger, Miguel Bordallo López Expert Systems with Applications Image AnalysisEngineeringData ScienceFacial Expression RecognitionPattern Recognition	2023	37
Face Anti-Spoofing via Sample Learning Based Recurrent Neural Network (RNN). Muhammad Usman, Tuomas Holmberg, Wheidima Carneiro de Melo, British Machine Vision Conference	2019	10

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