JIITA, vol.7 no.1, p.654-665, 2023, DOI: 10.22664/ISITA.2021.7.1.654 Sang Suh*, Monika Singh, Chirag Dave Department of Computer Science. Texas A&M Universit Abstract: Recommender systems are widely used in online e-commerce applications to improve user engagement and increase revenue. Many recommendation systems employ collaborative filtering technology, which has been proven to be one of the most successful techniques […]
Vol.7 No.1
3D facial Landmarks Detection and Head Pose Estimation using Multi-task Learning and Vision Transformer
JIITA, vol.7 no.1, p.666-670, 2023, DOI: 10.22664/ISITA.2021.7.1.666 Hyunduk Kim 1*), Sang-Heon Lee 1) , Myoung-Kyu Sohn 1)1) Division of Automotive Technology, DGIST, Daegu, Republic of Korea Abstract: In this paper, we present 3D facial landmarks detection and head pose estimation algorithms. To solve these two tasks simultaneously, we apply the multi-task learning technique. Our architecture consists of three components: a […]
Development of packaged food classification and information propagation app using deep learning
JIITA, vol.7 no.1, p671-674, 2023, DOI: 10.22664/ISITA.2021.7.1.671 Jun-Woo Park 1) , Dong-Hoon Kwak 2) , Young-Duk Kim 3*)1,2,3) ICT Resarch Institute of DGIST, Dageu, KOREA Abstract: Many foods are packaged in various wrapper and distributed to people. In order to live a healthy life by eating food in a balanced manner and improving eating habits, it is necessary to identify the […]
A Deep Learning based Audio SuperResolution Algorithm from Lossless and Lossy Input Data
JIITA, vol.7 no.1, p.675-680, 2023, DOI: 10.22664/ISITA.2021.7.1.675 Hong-Jin Kim 1) , Jeong Tak Ryu 2) and Kyuman Jeong 1,3,*)1)School of AI, Daegu University, Daegu, Korea2)College of Information and Communication Engineering, Daegu University, Daegu, Korea3) School of AI, Daegu University, Daegu, Korea Abstract: Artificial intelligence technology, in which computers perform human-like actions or behaviors, is becoming […]