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Curriculum Vitae of Taehyun Byun.
General Information
| Full Name | Taehyun Byun |
| Affiliation | Robot Intelligence Lab. (RILAB), Korea University |
| Languages | Korean, English |
Education
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2021-Present Ph.D. in Artificial Intelligence
Korea University, Seoul, South Korea - Advisor: Professor Sungjoon Choi
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2015-2017 M.S. in Statistics
Korea University, Seoul, South Korea - Advisor: Professor Myoungshic Jhun
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2009-2015 B.S. in Information and Mathematics
Korea University, Sejong, South Korea
Experience
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2020 - 2021 Founder
ESTIMO Inc., Korea - Founded ESTIMO and developed a rehabilitation and physical therapy application using pose estimation.
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2018 - 2019 Research Scientist
CONTINUUM Inc., Korea - Conducted computer vision research in pose estimation, classification, and detection.
Publications & Presentations
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2026 -
2026 Controllable Single Motion Synthesis
Pattern Recognition (Revised and resubmitted) -
2026 Adaptive Hilbert Diffusion Models for Controllable Smoothness in Continuous Function Generation
Computational Visual Media (Accepted) - Co-first author (equal contribution)
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2026 CLIP-Actor-X: Text-driven 4D Human Avatar Generation via Cross-modal Synthesis-through-Optimization
IEEE Transactions on Pattern Analysis and Machine Intelligence - Co-first author (equal contribution)
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2026 Effective Evaluation of Exoskeleton Using Exo-Agnostic Uncertainty-Aware Classification Model with Wearable Sensors
ACM Augmented Humans (AHs) — Poster -
2025 Robust and Expressive Humanoid Motion Retargeting via Optimization-Based Rig Unification
IEEE/RSJ IROS -
2024 Towards Embedding Dynamic Personas in Interactive Robots: Masquerading Animated Social Kinematic (MASK)
IEEE Robotics and Automation Letters -
2023 Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces
Advances in Neural Information Processing Systems (NeurIPS) -
2022 -
2022 Conditional Motion In-Betweening
Pattern Recognition -
2017 A Study of Correlation Curves Estimation
Journal of The Korean Data Analysis Society
Academic Interests
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Human-Grounded Humanoid Motion Synthesis
- Human Motion Priors for Humanoid Motion Generation
- Spatio-Temporal Alignment & Motion Transitions
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Generative Modeling & Controllable Motion Synthesis
- Diffusion Models & Flow Matching
- Learning Human Motion Distributions & Motion Priors
- Continuous & Function Space Modeling (Hilbert space-based approaches)
- Conditional Motion Generation
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Human-Robot Interaction & Humanoid Control
- Fine-grained Controllability & Motion Priors
- Human-to-Humanoid Motion Retargeting
- Controllable Motion In-betweening