cv
Here's summary of my careers and works.
Basics
| Name | Chunghwan Lee |
| Label | Researcher in 3D Computer Vision |
| chunghwan@u.nus.edu | |
| Phone | +65-8964-0297 |
| Url | https://fusroda-h.github.io/ |
| Summary | I work on 3D scene reconstruction, visual localization, and privacy-preserving 3D mapping using neural representations. |
Work
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2024.03 - Present Seongnam, Korea
Research Intern, Spatial AI Team
NAVER LABS
Research internship on generalizable 3D Gaussian splatting from unposed sparse-view images.
- Developing a generalizable feed-forward 3D Gaussian splatting model for 3D scene reconstruction from unposed sparse-view (paired-view) images using DUSt3R and MASt3R.
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2022.03 - 2024.02 Seoul, Korea
Graduate Researcher
Hanyang SAIL Lab (HY-Vision Lab), Hanyang University
Graduate research on privacy-preserving visual localization and 3D line cloud representations.
- Developed a privacy-preserving 3D line cloud generation method that draws lines by pairing two points, named Paired-Point Lifting (PPL).
- Demonstrated that PPL conceals scene details while maintaining camera pose re-localization accuracy.
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2021.02 - 2021.09 Seoul, Korea
Undergraduate Researcher
NIAI Lab, Hanyang University
Deepfake video detection using temporal feature analysis.
- Developed a classification model to discern deepfake videos by training the model to extract abrupt temporal features with a PCA-based loss.
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2020.06 - 2020.10 Seoul, Korea
Undergraduate Researcher
ICSP Lab, Hanyang University
Image-based weather classification and restoration.
- Devised a one-for-all model that performs both weather classification and reconstruction under adverse weather conditions such as rain, snow, and haze.
Education
Publications
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2025 Enhancing Sparse-View 3D Reconstruction with Unknown Poses via Geometric Prior Guided Refinement
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshop ULTRRA
Sparse-view 3D reconstruction with unknown camera poses using geometric priors for refinement.
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2024 Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Visual localization framework using 3D ray clouds for efficient privacy preservation.
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2023 Paired-Point Lifting for Enhanced Privacy-Preserving Visual Localization
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Privacy-preserving visual localization using paired-point lifting and line cloud representations.
Projects
- 2024.03 - Present
Generalizable 3D Gaussian Splatting with Unposed Images
- Used DUSt3R and MASt3R to estimate geometry and guide 3D Gaussian splatting.
- Focused on generalization across scenes and viewpoints.
- 2022.03 - 2024.02
Enhancing Privacy-Preserving Visual Localization
- Proposed Paired-Point Lifting (PPL) to generate privacy-preserving line cloud maps.
- Demonstrated robustness against scene recovery attacks while maintaining pose accuracy.
- 2021.10 - 2022.02
Deep Learning-based Sketched Face Recognition
- Fine-tuned ArcFace for sketched face recognition.
- Augmented sketch data using CycleGAN for improved robustness.
- 2021.02 - 2021.09
Deepfake Video Detection
- Trained models to capture abrupt temporal features indicative of manipulation.
- Used PCA-based loss to emphasize abnormal variations.
- 2020.06 - 2020.10
Image-based Weather Classification and Restoration
- Designed a model that handles classification and reconstruction for rain, snow, and haze.
Awards
- 2022
Third Place, IC-PBL+ Graduate Championship 2022-2
IC-PBL Teaching and Learning Center, Hanyang University
- 2022
Excellence Award, Undergraduate Hanyang Academic
Hanyang University
- 2021
Excellence Award, The Korean Institute of Broadcast and Media Engineers Fall Conference 2021
The Korean Institute of Broadcast and Media Engineers (KIBME)
- 2022
HY-in Scholarships (Graduate)
Hanyang University
Graduate scholarship, total amount approximately $12,200.
- 2015
Dept. of Electronic Engineering Scholarship (Undergraduate)
Hanyang University
Undergraduate scholarship, total amount approximately $14,500.
Skills
| Programming | |
| Python | |
| OpenCV | |
| Open3D | |
| COLMAP | |
| C/C++ | |
| Java | |
| MATLAB | |
| CUDA |
| Deep Learning Frameworks | |
| PyTorch | |
| Keras | |
| TensorFlow |
Interests
| Hobbies | |
| Bowling | |
| Skiing / Snowboarding | |
| Poppin dance | |
| Free diving | |
| Surfing | |
| Sport climbing |
Volunteer
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2022 - Present Conference Reviewer
IEEE / CVF and related communities
Reviewed papers for major computer vision conferences.
- Paper reviewer for ICIP 2022–2023.
- Paper reviewer for WACV 2023–2024.
- Paper reviewer for CVPR 2024.