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Intelligent Big Data Analysis System for Social Media Marketing
This research studies the unstructured nature of textual big data generated in real-time in social media. In this project, we develop and design an intelligent system to extract useful insights from textual big data for social media marketing.
Principal Investigator: Professor Youngmoon Lee
Role: Team Lead
Duration: October 2020 - Present
Sponsor: MSIT (Ministry of Science and ICT), South Korea
Lab: RAISE Lab, Hanyang University (HYU), South Korea
Joint Multi-Person Pose Estimation and Instance Segmentation
Joint Multi-Person Pose Estimation and Instance Segmentation
This research studies multiperson pose estimation and instance segmentation in a crowded scene. Multi-person pose estimation and instance segmentation in crowded scenes is challenging because overlapping and occlusions make it difficult to detect person-bounding boxes and infer pose cues from individual keypoints. In order to solve these issues we propose a new robust MultiPoseSeg, a joint model designed for both human pose estimation and instance segmentation. MultiPoseSeg plays a foundational role in computer vision applications, including activity recognition, video surveillance, and human-computer interaction.
Principal Investigator: Professor Youngmoon Lee
Role: Team Lead
Duration: September 2021 - Present
Sponsor: MSIT (Ministry of Science and ICT), South Korea
Lab: RAISE Lab, HYU, South Korea
Development of Companion Big Data Mining Platform using Knowledge Graph
Development of Companion Big Data Mining Platform using Knowledge Graph
This research studies sensor data, social data, and behavior data that are generated and accumulated in large quantities from various companion devices. In this research, we developed a lifestyle pattern mining platform for a variety of pattern discovery application areas like trip and food recommendation, shopping, and so on.
Principal Investigator: Professor Young-Koo Lee
Role: Team Member
Duration: March 2015 - March 2020
Sponsor: MSIT (Ministry of Science and ICT), South Korea
Lab: Data & Knowledge Engineering Laboratory, KHU, South Korea
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