중앙대학교 첨단영상대학원

구성원

전임

창의적 비전 및 멀티미디어 연구실 (Creative Vision and Multimedia Lab. [CMLab])에서는 인공지능 및 딥러닝 기반의 다양한 컴퓨터비전/생성AI/NeRF/영상처리 기술 등을 연구합니다. 실생활에도 적용 가능한 연구를 지향하며, Video Frame Interpolation/Deblurring/Super-Resolution/3D Neural Radiance Fields (NeRF)/Generative AI 등의 연구를 진행하고 있습니다.

2023.09 – 현재: 조교수, 중앙대학교 첨단영상대학원 영상학과
2023.04 – 2023.08: 연수연구원 (포닥), VICLAB, KAIST 정보전자연구소
2022.05 – 2022.09: AI Research Scientist Intern, Meta Reality Labs, Sunnyvale, CA, USA
2016.01 – 2016.02: 학부인턴, 한국전자통신연구원 (ETRI)

Journal Reviewer: IEEE TIP, IEEE TGRS, IEEE Access
AI Top-Tier Conference Reviewer: CVPR 2021/2022/2023, ICCV 2021/2023, ECCV 2022, AAAI 2021
2023.05: Invited Talk@SKKU, “Handling Real-World Videos in Computer Vision Tasks”
2019.05: Invited Talk@KARI, “A Study on SAR: CNN/GAN-based methods for SAR applications”

DeMFI: Deep Joint Deblurring and Multi-Frame Interpolation with Flow-Guided Attentive Correlation and Recursive Boosting, ECCV, 2022
XVFI: eXtreme Video Frame Interpolation, ICCV (Oral 3%), 2021
PeaceGAN: A GAN-based Multi-Task Learning Method for SAR Target Image Generation with a Pose Estimator and an Auxiliary Classifier, Remote Sensing, 2021
SPAM-Net: A CNN-based SAR Target Recognition Network with Pose Angle Marginalization Learning, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021
FISR: Deep Joint Frame Interpolation and Super-Resolution with a Multi-Scale Temporal Loss, AAAI, 2020
JSI-GAN: GAN-Based Joint Super-Resolution and Inverse Tone-Mapping with Pixel-Wise Task-Specific Filters for UHD HDR Video, AAAI, 2020