10 citations · 22 across the 6 of their papers we have counts for
7 papers
Mental Workload Estimation with Electroencephalogram Signals by Combining Multi-Space Deep Models
Hong-Hai Nguyen, Ngumimi Karen Iyortsuun, Seungwon Kim +2
The human brain remains continuously active, whether an individual is working or at rest. Mental activity is a daily process, and if the brain becomes excessively active, known as…
DCTM: Dilated Convolutional Transformer Model for Multimodal Engagement Estimation in Conversation
Vu Ngoc Tu, Van Thong Huynh, Hyung-Jeong Yang +4
Conversational engagement estimation is posed as a regression problem, entailing the identification of the favorable attention and involvement of the participants in the conversati…
A transformer-based approach to video frame-level prediction in Affective Behaviour Analysis In-the-wild
Dang-Khanh Nguyen, Ngoc-Huynh Ho, Sudarshan Pant +1
In recent years, transformer architecture has been a dominating paradigm in many applications, including affective computing. In this report, we propose our transformer-based model…
Fine-tuning Wav2vec for Vocal-burst Emotion Recognition
Dang-Khanh Nguyen, Sudarshan Pant, Ngoc-Huynh Ho +3
The ACII Affective Vocal Bursts (A-VB) competition introduces a new topic in affective computing, which is understanding emotional expression using the non-verbal sound of humans.…
An Attention-based Method for Action Unit Detection at the 3rd ABAW Competition
Duy Le Hoai, Eunchae Lim, Eunbin Choi +5
Facial Action Coding System is an approach for modeling the complexity of human emotional expression. Automatic action unit (AU) detection is a crucial research area in human-compu…
Emotion Recognition with Incomplete Labels Using Modified Multi-task Learning Technique
Phan Tran Dac Thinh, Hoang Manh Hung, Hyung-Jeong Yang +2
The task of predicting affective information in the wild such as seven basic emotions or action units from human faces has gradually become more interesting due to the accessibilit…