중앙대학교 첨단영상대학원

구성원

전임

인지 인공지능 연구실 (Perceptual Artificial Intelligence Lab.)에서는 다양한 컴퓨터 비전 기술들의 실생활 적용 시 발생하는 문제점들을 인공지능을 활용하여 해결하는 기술들을 연구합니다. 대표적인 연구 주제로는 지능형 CCTV 및 사람 행동 분석을 위한 person re-identification, image/video-based retrieval, monocular depth estimation, generative model 등이 있습니다.

2023.09 – 현재: 조교수, 중앙대학교 첨단영상대학원
2023.04 – 2023.08: Samsung Advanced Institute of Technology (SAIT) (삼성전자 종합기술원) 연구원
2022.06 – 2022.09: NAVER CLOVA Image Vision Team 연구 인턴

AI Technology Seminar, SIC-X Lab. in the Department of Electrical Engineering, KAIST, Aug. 2023
AI Tech Talk, NAVER CLOVA, Jan. 2020 (Invited by Dr. Jung-Woo Ha)
Journal Reviewer (IJCV, TPAMI, TIP, TCSVT, TMM)
Conference Reviewer (NeurIPS, CVPR, ICCV, ECCV, AAAI)

2021 Excellence Paper Award, Workshop on Signal Processing, the Institute of Electronics and Information Engineers (IEIE)
2019 NeurIPS Travel Award, Advanced Neural Information Processing System
2019 Best Paper Award, Workshop on Frontiers of Electrical Engineering (FREE), Yonsei University

Disentangled Representations for Short-Term and Long-Term Person Re-identification, IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), 2022
Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation, European Conference on Computer Vision (ECCV), 2022
Video-based Person Re-identification with Spatial and Temporal Memory Networks, International Conference on Computer Vision (ICCV), 2021
Temporally Consistent Depth Prediction with Flow-Guided Memory Units, IEEE Trans. Intelligent Transportation System (TITS), 2020
Learning Disentangled Representation for Robust Person Re-identification, Advanced Neural Information Processing System (NeurIPS), 2019