activity
20202022
most citedEmotion Recognition with Incomplete Labels Using Modified Multi-task Learning Technique

10 citations · 13 across the 5 of their papers we have counts for

collaborators

5 papers

eess.AS2022

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.…

cs.SD2022

Self-Relation Attention and Temporal Awareness for Emotion Recognition via Vocal Burst

Dang-Linh Trinh, Minh-Cong Vo, Guee-Sang Lee

The technical report presents our emotion recognition pipeline for high-dimensional emotion task (A-VB High) in The ACII Affective Vocal Bursts (A-VB) 2022 Workshop \& Competition.…

cs.CV20222 cited

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…

cs.CV202110 cited

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…

cs.CV20201 cited

Variants of BERT, Random Forests and SVM approach for Multimodal Emotion-Target Sub-challenge

Hoang Manh Hung, Hyung-Jeong Yang, Soo-Hyung Kim +1

Emotion recognition has become a major problem in computer vision in recent years that made a lot of effort by researchers to overcome the difficulties in this task. In the field o…