most citedAn Ensemble Approach for Facial Expression Analysis in Video

10 citations · 25 across the 10 of their papers we have counts for

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cs.CV2023★ 8 cited

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…

cs.CV2023

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…

cs.CV2022★ 1 cited

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…

cs.CV2022

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…

cs.CV2022★ 10 cited

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…