Research Experience

  • Research Internship, Jan., 2023 to Present
  • Project (ongoing): Domain Generalization for Video Anomaly Detection

Hyundai Motor Company, Robotics Lab.

  • Research Scholarship, June, 2019 to Present
  • Project: Unsupervised Video Anomaly Detection in Surveillance System

Global Ph.D. Fellowship Program

  • Project Manager, Mar. 2019 to Present
  • Project (ongoing): Anomaly Detection System with Relation Embedding and Contextual Understanding in Surveillance Videos
    • Funding KRW 150 million for 5 years

Yonsei University

  • Project Manager/ Researcher, Mar. 2018 to Present
  • 2D-3D Feature Correspondence Learning for Virtual Scene Reconstruction
  • Development of Smart Signal Management System Customized for National Roads
  • Deep Identification and Tracking of Missing Person in Heterogeneous CCTV
  • Emotional Intelligence Technology to Infer Human Emotion and Carry on Dialogue
  • Development of the High‑precision Natural 3D View Generation Technology using
  • Smart‑car Multi Sensor and Deep Learning
  • Road Conditions and Autonomous Bus AI Data

Electronics and Telecommunications Research Institute

  • Research Internship, June, 2017 to Aug., 2017
  • Intelligent Convergence Research Laboratory

Linköping University, Sweden

  • Exchange Student, Aug., 2016 to Feb., 2017
  • Electrical Engineering, Faculty of Science and Engineering

Kyunghee University

  • Undergraduate Intern, Mar., 2017 to Feb., 2018
  • Development of Improving Method for Virtual View Synthesis Technology


Professional Activity

Reviewer for International Journals

  • IEEE Transactions on Industrial Informatics (TII, IF: 11.648)
  • Springer Artificial Intelligence Review (IF: 9.588)
  • IEEE Transactions on Information Forensics and Security (TIFS, IF: 7.231)
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT, IF: 5.859)
  • Elsevier Neurocomputing (IF: 5.779)


Awards

  • 1st Visual Inductive Priors for Data‑Efficient Deep Learning Challenge, 4th place, ECCV Workshop
    • Learning Temporally Invariant and Localizable Features via Data Augmentation for Video Recognition