cv
Basics
| Name | Patrick (Yong Jae) Kwon |
| Label | Deep Learning Researcher |
| yo564250@ucf.edu | |
| Phone | +1 689-346-2170 |
| Url | https://yj7082126.github.io |
| Summary | Ph.D. student in Computer Science at the University of Central Florida focusing on generative AI, spatial intelligence, and controllable image/video generation. |
Work
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2021.09 - 2025.08 Deep Learning Researcher
Naver Webtoon AI
Worked on large-scale generative models for images, videos, and 3D assets; developed internal diffusion pipelines and multimodal tooling.
- Built internal Python library for image, video, and 3D content generation using state-of-the-art diffusion models.
- Developed AI Studio, a user-friendly generative framework for creation and inpainting.
- Collaborated with SNU Visual Computing Lab on CHUPA (ICCV 2023 Oral, ECCV 2024 Oral).
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2020.01 - 2021.09 Seoul, South Korea
Deep Learning Researcher
Deepbrain AI
Worked on deepfake detection and large-scale video dataset construction.
- Developed KoDF, a major Korean deepfake detection dataset.
- First-author contribution to KoDF paper accepted at ICCV 2021.
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2019.09 - 2019.12 New York, NY
Research Assistant
Columbia University – CGUI Lab
Worked on Augmented Reality interfaces for medical imaging and intraoral scanning.
- Contributed to AR-assisted intraoral scanning research (Journal of Prosthodontics 2024).
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2019.06 - 2019.12 New York, NY
Data Scientist
Emadri
Designed recommendation systems for recommending packing list items for travelers.
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2017.06 - 2018.07 Pangyo, South Korea
Education
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2025.08 - 2029.08 Orlando, FL
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2018.08 - 2019.12 New York, NY
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2015.08 - 2017.05 Charlottesville, VA
Publications
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2024.11.01 GraspDiffusion: Synthesizing Realistic Whole-body Hand-Object Interaction
WACV 2026
Introduces a diffusion-based method for generating realistic, full-body hand-object interactions.
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2024.09.01 Beyond the Contact: Discovering Comprehensive Affordance for 3D Objects from Pre-trained 2D Diffusion Models
ECCV 2024
Presents a method for affordance discovery using pretrained 2D diffusion models.
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2024.07.01 Augmented-Reality-Assisted Intraoral Scanning: A Proof-of-Concept Study
Journal of Prosthodontics 2024
Demonstrates the use of AR to enhance intraoral scanning workflows.
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2023.10.01 Chupa: Carving 3D Clothed Humans from Skinned Shape Priors Using 2D Diffusion Probabilistic Models
ICCV 2023 (Oral)
Proposes a diffusion-driven pipeline for 3D clothed human reconstruction.
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2023.06.01 Interactive Cartoonization with Controllable Perceptual Factors
CVPR 2023
Presents a controllable cartoonization framework using perceptual factor modulation.
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2021.10.01 KoDF: A Large-scale Korean DeepFake Detection Dataset
ICCV 2021
Introduces a large-scale deepfake detection dataset focused on Asian subjects.
Projects
- 2023.12 - Present
AI Photocard
Internal Python library for generating images, videos, and 3D assets using diffusion models.
- Python-based diffusion pipelines
- 2023.06 - Present
- 2023.06 - Present
ARIOS: AR-assisted Intraoral Scanning
Developed AR pipeline for improved intraoral scanning procedures.
- C#
- AR Research
- 2023.02 - Present
Chupa
Diffusion-based 3D human reconstruction pipeline developed with SNU Visual Computing Lab.
- ICCV 2023 Oral
- 2020.10 - Present
- 2019.06 - Present
Pally: AR for Social Transition
Microsoft HoloLens + 5G project supporting social development for autistic children.
Awards
- 2023.10.01
- 2019.05.01
- 2018.08.01
- 2017.05.01
- 2015.08.01
Skills
| Programming | |
| Python (PyTorch, Tensorflow) | |
| MATLAB | |
| C++ | |
| C# | |
| Java | |
| SQL | |
| R | |
| AWS | |
| Azure |
Languages
| Korean | |
| Native |
| English | |
| Fluent |
Interests
| Generative AI | |
| Diffusion Models | |
| Image/Video Generation | |
| Spatial Intelligence | |
| 3D Reconstruction |