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

10 citations · 22 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2021★ 10 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.CV2020★ 1 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.CV2020★ 2 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.CV2019★ 2 cited

Eye Semantic Segmentation with a Lightweight Model

Van Thong Huynh, Soo-Hyung Kim, Guee-Sang Lee +1

In this paper, we present a multi-class eye segmentation method that can run the hardware limitations for real-time inference. Our approach includes three major stages: get a grays…

cs.CV2019★ 1 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★ 6 cited

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…