activity
20192021
most citedEmotion Recognition with Incomplete Labels Using Modified Multi-task Learning Technique

10 citations · 14 across the 4 of their papers we have counts for

collaborators

5 papers

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…

cs.CV20202 cited

Affective Expression Analysis in-the-wild using Multi-Task Temporal Statistical Deep Learning Model

Nhu-Tai Do, Tram-Tran Nguyen-Quynh, Soo-Hyung Kim

Affective behavior analysis plays an important role in human-computer interaction, customer marketing, health monitoring. ABAW Challenge and Aff-Wild2 dataset raise the new challen…

cs.CV20191 cited

Automatic Whole-body Bone Age Assessment Using Deep Hierarchical Features

Hai-Duong Nguyen, Soo-Hyung Kim

Bone age assessment gives us evidence to analyze the children growth status and the rejuvenation involved chronological and biological ages. All the previous works consider left-ha…

cs.CV2019

Hand Segmentation and Fingertip Tracking from Depth Camera Images Using Deep Convolutional Neural Network and Multi-task SegNet

Duong Hai Nguyen, Tai Nhu Do, In-Seop Na +1

Hand segmentation and fingertip detection play an indispensable role in hand gesture-based human-machine interaction systems. In this study, we propose a method to discriminate han…