Experience
Assistant Professor
Sejong University
Department of Software
Mar 2025 - Present
ML Research Scientist
Twelve Labs.
Video Foundation Model, Evaluation
Mar 2024 - Mar 2025
AI Research Engineer
Upstage
Document Understanding, Synthetic Dataset
Mar 2023 - Mar 2024
Visiting Researcher
Clova AI Research (CLAIR), Naver Corp.
Image-to-Image translation
Sep 2019 - Feb 2020
Developer
SIT, Yonsei University
Real-time Remote Lecture Room System
Sep 2018 - Feb 2019
Education
Ph.D. in Integrated Technology
Yonsei University
Advisor: Prof.
Hyunjung Shim
Thesis: Data-efficient Learning for Generative Adversarial Networks
Thesis: Data-efficient Learning for Generative Adversarial Networks
Mar 2018 - Feb 2023
B.S. in EE and CS (Double Major)
Yonsei University
Mar 2014 - Feb 2018
Skills
Python (PyTorch)
C / C++
Java
SQL
OpenCV / CUDA
Contact
Feel free to reach out to me via email.
Teaching
Sejong University
Instructor
• Generative AI
• Probability and Statistics
• Computer Architecture
• Creative Studies with Self-Directed Learning
• Probability and Statistics
• Computer Architecture
• Creative Studies with Self-Directed Learning
Yonsei University
Teaching Assistant
• Computational Thinking and SW Programming
• Tensorflow for computer vision
• Tensorflow for computer vision
Activities
Academic Services
Judge
• Academic festival at AI
• Hackerthon at Dept. of SW
• Hackerthon at Dept. of SW
External Activities
Reviewer
CVPR, ICCV, ECCV, NeurIPS, AAAI, IJCAI, WACV, BMVC, 3DV, ICCV-W, ICML-W, NeurIPS-W,
CVPR-W, TPAMI, IJCV, TCSVT, etc.
Invited Talks
• Samsung Electronics DS DIT
• OKESTRO A.I. Lab/Data Science
• OKESTRO A.I. Lab/Data Science
Recent Preprints
(* : equal contribution. / † : corresponding author.)
(* : equal contribution. / † : corresponding author.)
From Solipsistic Simulators to Shared Reality: Multi-User World
Models and the Consistency Trilemma
Preprint 2026, Under Review
Gradient-Driven Gaussian Initialization: A Scalable Framework for 2D
Image Representation via Online Target Generation
Preprint 2026, Under Review
Lost in the Noise: A Stealthy Computation Cost Attack on 3DGS by
Targeting Perceptually Vulnerable Regions
Preprint 2026, Under Review
Multi-dimensional Preference Alignment by Conditioning Reward Itself
Preprint 2025, Under Review
Zero-to-Interaction: Generating Dynamic Videos from Synthetic State
Transitions
Preprint 2025, Under Review
Measuring Bias in Text-to-Image Generative Models through Internal
Representation Analysis
Preprint 2025, Under Review
TWLV-I: Analysis and Insights from Holistic Evaluation on Video
Foundation Models
Technical Report 2024
Publications
(* : equal contribution. / † : corresponding author.)
(* : equal contribution. / † : corresponding author.)
Toward Stable World Models: Measuring and Addressing World
Instability in Generative Environments
Pattern Recognition 2026 (IF=7.6)
Rethinking Direct Preference Optimization in Diffusion Models
AAAI Conference on Artificial Intelligence (AAAI) 2026 (Oral)
MomentMix Augmentation with Length-Aware DETR for Temporally Robust
Moment Retrieval
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
2026
Temporal Smoothness-Aware Rate-Distortion Optimized 4D Gaussian
Splatting
Conference on Neural Information Processing Systems (NeurIPS) 2025
Generic and Privacy-free Synthetic Data Generation for Pretraining
GANs
Conference on Neural Information Processing Systems (NeurIPS) 2022
Workshop
Learning from Better Supervision: Self-distillation for Learning with
Noisy Labels
International Conference on Pattern Recognition (ICPR) 2022
Logit Mixing Training for More Reliable and Accurate Prediction
International Joint Conference on Artificial Intelligence (IJCAI)
2022
Commonality in Natural Images Rescues GANs: Pretraining GANs with
Generic and Privacy-free Synthetic Data
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2022
Rethinking the Truly Unsupervised Image-to-Image Translation
IEEE/CVF International Conference on Computer Vision (ICCV) 2021
GridMix: Strong Regularization Through Local Context Mapping
Pattern Recognition 2021 (IF=7.2)
PsyNet: Self-Supervised Approach to Object Localization Using Point
Symmetric Transformation
AAAI Conference on Artificial Intelligence (AAAI) 2020
Projects
National Program of Excellence in Software
Sejong University
Managing student Hackerthon and Coordinated university-industry
collaboration to connect software students with professionals.
Multi-domain Video Foundation Model
Twelve Labs. · Project Lead
Developing a video foundation model working on various vision and audio
domains (such as RGB, depth, segmentation, and spectrogram).
Video Foundation Model and Evaluation
Twelve Labs. · Member
Developing and evaluating a video foundation model. Designing training
objectives, models, and architecture. Optimizing distributed training speed.
End-to-End Document Recognition
Upstage · Member
Developing a multi-modal model to handle processes such as text and
non-text detection, recognition, and named entity filtering in an end-to-end manner.
Non-text Entity Recognition in Document
Upstage · Project Lead
Developing a model to recognize non-text entities (e.g., checkbox,
signature, and stamp) in a document.
Synthetic Document Generation
Upstage · Project Lead
Generating various synthetic document images for training end-to-end
named entity recognition and document understanding.
AI R&D Grand Challenge for Daily Life
Yonsei University · Member
Composing a dataset of trash and training a model on the dataset for
classifying the blind test set.