VIDHYA V

Scopus Publications

Triphasenet: Interleaved feature stacking with a deep extractor using couple-trans for compound facial expression recognition
Vidhya V, G. Devasena
Signal Image and Video Processing, 2025
Inter-Channel Attention Network for Recognizing Facial Expressions of Children with Autism
G. Devasena, V. Vidhya
SN Computer Science, 2025
Twinned attention network for occlusion-aware facial expression recognition
G. Devasena, V. Vidhya
Machine Vision and Applications, 2025
A Study of Various Algorithms for Facial Expression Recognition: A Review
Devasena G, Vidhya V
2021 International Conference on Computational Intelligence and Computing Applications Iccica 2021, 2021
Facial Expression Recognition (FER) is an important thrust area in the field of artificial intelligence and computer vision. The features of various faces and their characteristics are analyzed to achieve the concept of FER. The facial characteristics are retrieved using an automated face detection method which helps to identify the emotions of a person. This study examines in-depth FER investigations using several techniques, such as template, appearance, knowledge-based and feature-based approaches, coupled with a variety of algorithms such as viola jones, Faster RCNN, SSD, MTCNN and Face landmark Detection. These techniques are used to classify the different emotions of the human face such as happiness, wrath, sorrow, disgust, fear, neutrality, surprise and disdain. Moreover, research works based on deep learning based FER models are also examined.

VIDHYA V

RESEARCH, TEACHING, or OTHER INTERESTS

Scopus Publications