Suyoung Lee
Ph.D. Candidate at Computer Vision Lab, Seoul National University
I am a Ph.D. candidate majoring computer vision with deep learning at Computer Vision Lab in Seoul National University, under professor Kyoung Mu Lee.
Early in my PhD studies, I was interested in low-level vision problems such as image restoration and frame interpolation. I have served as a co-organizer on two tracks (image deblurring and video super-resolution) at NTIRE Workshop in CVPR 2021.
Recently, I have been interested in 3D vision problems, and have been researching 3D scene reconstruction using 3D Gaussian splatting, and further, high-quality and large-scale scene generation problems. In particular, I am working on holistic scene reconstruction by utilizing wide FoV of omnidirectional images such as ODGS and OmniSplat.
Publications
- NeurIPSODGS: 3D Scene Reconstruction from Omnidirectional Images with 3D Gaussian SplattingIn Advances in Neural Information Processing Systems (NeurIPS), 2024
- ICCVMotion-Aware Dynamic Architecture for Efficient Frame InterpolationIn Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021
- CVPRWNTIRE 2021 Challenge on Image DeblurringIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021
- CVPRWNTIRE 2021 Challenge on Video Super-ResolutionIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2021
- WACV