• Taehoon Kim,* Jonguk Choi*, Heejae Jo, Byungmin Park, Jongwon Choi. (ECCV 2026) Preserving Knowledge across Space and Time for Continual Video Deepfake Detection.

• Heejae Jo*, et al. (2025). A Partially Manipulated, Explainable Face Synthesis Detection Dataset . In Proceedings of the 2025 Korea Institute of Broadcasting and Media Engineers Autumn Conference, Seoul, Korea. 

• Heejae Jo*, Giyoon Choi, Jongwook Choi, Jongwon Choi. (2025). Improving Generalization Performance of Deep Voice Detection using Semi-Supervised Learning. In Proceedings of the 37th Workshop on Image Processing and Understanding (IPIU 2025 ), Jeju, Korea.

• Giyoon Choi*, Hyunjin Cho, Heejae Jo , Jongwook Choi, Jongwon Choi. (2024). Knowledge Distillation-Based Prompt Learning Using Attention Decomposition. In Proceedings of the Korean Institute of Electronics Engineers (KIEE) Conference , Jeju, Korea.

• Jonwook Choi*, Heejae Jo, Taehoon Kim, Hyungjun Lim, Jongwon Choi. (2024). Domain Generalization Analysis of Audio Deepfake Detection. In Proceedings of the Korean Institute of Electronics Engineers (KIEE) Conference, Jeju, Korea.

AI Library 

AI Safety: Multi-Modal Anti-Deepfake Framework —Mar 2025 ~ Jan 2026

• National R&D Program for Trustworthy AI

• Project Overview
  Designing a comprehensive defect detection system against commonsense reasoning errors. Developing a real-time multi-modal anti-deepfake integrated framework to ensure reliability and safety in AI systems.

• My Contribution
  Created an Audio DeepVoice dataset using Voice Conversion models (Coqui-ai, Seed-VC).
  Built a customized Video-Audio Deepfake dataset optimized for multi-modal detection environments.
  Established a Fake Text Dataset generation pipeline for cross-modal robustness evaluation.
  Developing a Retrieval Deepfake Detector for binary classification and manipulation region segmentation (in progress).

Multi-Projection Space for Large-Scale User Interaction under Low-Light Conditions — Mar 2024 ~ Feb 2025

• Cultural Technology R&D Program 

• Project Overview
  Developed technologies for high-degree-of-freedom, large-scale user interaction. Focused on overcoming limitations of low-light illumination environments by leveraging multi-projection spaces.

• My Contribution
  Generated an SMPL dataset using ScoreHMR and structured pose-specific data representations.
  Developed a Crowded Human Detection Model using D-Fine for multi-person motion analysis.

• May 2026 - Present
  Post-Master’s Researcher
  Visual Intelligence Lab

• Feb 2026 - April 2026
  AI Contents Team, Intern
  CJ ENM

• Oct 2021 - Aug 2023
  Broadcast Operation Team
  CJ OliveNetworks

• Jun 2021 - Oct 2021
  Broadcast Operation Team
  CJ Powercast