10 citations · 25 across the 10 of their papers we have counts for
10 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…
Multi-scale Transformer-based Network for Emotion Recognition from Multi Physiological Signals
Tu Vu, Van Thong Huynh, Soo-Hyung Kim
This paper presents an efficient Multi-scale Transformer-based approach for the task of Emotion recognition from Physiological data, which has gained widespread attention in the re…
Vision Transformer for Action Units Detection
Tu Vu, Van Thong Huynh, Soo Hyung Kim
Facial Action Units detection (FAUs) represents a fine-grained classification problem that involves identifying different units on the human face, as defined by the Facial Action C…
Generic Event Boundary Detection in Video with Pyramid Features
Van Thong Huynh, Hyung-Jeong Yang, Guee-Sang Lee +1
Generic event boundary detection (GEBD) aims to split video into chunks at a broad and diverse set of actions as humans naturally perceive event boundaries. In this study, we prese…
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 Ensemble Approach for Multiple Emotion Descriptors Estimation Using Multi-task Learning
Irfan Haider, Minh-Trieu Tran, Soo-Hyung Kim +2
This paper illustrates our submission method to the fourth Affective Behavior Analysis in-the-Wild (ABAW) Competition. The method is used for the Multi-Task Learning Challenge. Ins…
Facial Expression Classification using Fusion of Deep Neural Network in Video for the 3rd ABAW3 Competition
Kim Ngan Phan, Hong-Hai Nguyen, Van-Thong Huynh +1
For computers to recognize human emotions, expression classification is an equally important problem in the human-computer interaction area. In the 3rd Affective Behavior Analysis…
An Ensemble Approach for Facial Expression Analysis in Video
Hong-Hai Nguyen, Van-Thong Huynh, Soo-Hyung Kim
Human emotions recognization contributes to the development of human-computer interaction. The machines understanding human emotions in the real world will significantly contribute…
MF-Hovernet: An Extension of Hovernet for Colon Nuclei Identification and Counting (CoNiC) Challenge
Vi Thi-Tuong Vo, Soo-Hyung Kim, Taebum Lee
Nuclei Identification and Counting is the most important morphological feature of cancers, especially in the colon. Many deep learning-based methods have been proposed to deal with…