중앙대학교 첨단영상대학원

구성원

전임

지능형 메타버스 연구실 (Immersive Reality & Intelligent Systems Lab.)에서는 실감형/몰입형 가상현실의 미래(3D/AR/VR/Metaverse)를 구현하기 위한 최신의 기계학습/인공지능 기술을 연구합니다. 대표적인 연구주제로는 3D rendering, video-to-speech synthesis, robust AI, explainable AI 등이 있습니다.

2019 IEEE ICIP, Best Paper Finalists
2019 KAIST, Top Story Selection (KAIST 2020 대표연구 선정)
2018 IEEE/IEIE ICCE-Asia, Best Student Paper Award
2018 SPIE Medical Imaging, Robert F. Wagner All Conference Best Student Paper Final Lists Award
2015 – 2018, KAIST EE, Research Excellence Award

Natural-Looking Adversarial Examples from Freehand Sketches, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
Video Prediction Recalling Long-term Motion Context via Memory Alignment Learning, Computer Vision and Pattern Recognition (CVPR), 2021
Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images, Association for the Advancement of Artificial Intelligence (AAAI), 2021
Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents, Association for the Advancement of Artificial Intelligence (AAAI), 2021
BMAN: Bidirectional Multi-scale Aggregation Networks for Abnormal Event Detection, IEEE Trans. Image Processing (TIP), 2020
VRSA Net: VR Sickness Assessment Considering Exceptional Motion for 360° VR Video, IEEE Trans. Image Processing (TIP), 2019