A study on AI-inspired super-resolution techniques using single or heterogeneous sensors
(단일 또는 이종센서 CCTV 영상을 위한 AI-inspired 초해상도 기술 개발)
Period : Oct. 2018 ~ Feb. 2021
Project Type : Core Technology Development Program (원천기술 개발사업), National Research Foundation (NRF) of Korea (290M KRW)
Role : Co-Principal Investigator (PI), Ewha Womans University, Korea
To create AI systems that act appropriately and effectively in novel situations that occur in open worlds
(현실 세계에서 변화하는 상황에 따라 지속적으로 자가 개선하는 인공지능 기술 개발)
Period : Apr. 2020 ~ Dec. 2021
Project Type : Next-Generation Artificial Intelligence Program (차세대 인공지능 핵심원천사업), Institute for Information & Communications Technology Promotion (IITP) (300M KRW)
Role : Co-Principal Investigator (PI), Ewha Womans University, Korea
Multi-task Learning Model for Complementary Scene Understanding based on Depth Estimation and Object Detection/Segmentation
(깊이추정 및 객체 검출/분할 기반 상호보완적 장면이해를 위한 다중작업 학습모델 연구)
Period : Mar. 2021 ~ Feb. 2024
Project Type : Mid-Career Researcher Program (중견연구 지원사업), National Research Foundation (NRF) of Korea (600M KRW)
Role : Principal Investigator (PI), Ewha Womans University, Korea
AiA(AI in Action): Autonomous Action Planning AI Lab
(AiA(AI in Action): 자율행동계획 인공지능 연구실)
Period : Jun. 2021 ~ Feb. 2024
Project Type : Basic Research Laboratory (기초연구실 지원사업), National Research Foundation (NRF) of Korea (1,375M KRW)
Role : Principal Investigator (PI), Ewha Womans University, Korea
Research on upgrading AI-based automatic water detection technology for efficient vehicle development
(차량 개발 효율화을 위한 AI 기반 자동 물 유입 검출 기술 업그레이드 연구)
Period : Apr. 2021 ~ Sep. 2022
Project Type : Industry Project (산학과제), Hyundai NGV (102M KRW)
Role : Principal Investigator (PI), Ewha Womans University, Korea
Previous Projects
Complementary Deep Learning Model for Pixel-level Correspondence/Segmentation and Image-level Retrieval
(픽셀 수준 시멘틱 정합/분할과 영상 수준 검색을 위한 상호보완적 딥러닝 모델 연구)
Period : Mar. 2018 ~ Feb. 2021
Project Type : Young Researcher Program (신진연구 지원사업), National Research Foundation (NRF) of Korea (400M KRW)
Role : Principal Investigator (PI), Ewha Womans University, Korea
Project Details
Highly Efficient and Advanced Visual Correspondence Algorithms for Big Visual Data
Period : Nov. 2015 - Ocb. 2018
Project Type : ‘Individual Basic Science and Engineering Research Program’ of NRF Korea
Role : Principal Investigator (PI), CNU, Korea (51M KRW/year)
Project Details
High Quality 2D-to-Multiview Contents Generation from Large-scale RGB+D Database
(RGB+D 빅데이터 기반 고정밀 2D-to-Multiview 콘텐츠 변환 기술 개발)
Period : July. 2015 ~ Aug. 2017
Project Type : Digital Content Technology Development Program (디지털콘텐츠 원천기술개발사업), Institute for Information & Communications Technology Promotion (IITP) (160M KRW)
Role : Co-Principal Investigator (Co-PI), Chungnam National University, Korea
Project Details
Real-time Monitoring of Points of Impact
Period : Ocb. 2015 - Feb. 2016
Project Type : Funded by Institute for Information & Communications Technology Promotion (IITP), Korea
Role : Principal Investigator (PI), CNU, Korea (40M KRW)
Project Details
Optimization for Visual Correspondence
Period : June. 2015 - May. 2016
Project Type : Starting-up funding from CNU, Korea
Role : Principal Investigator (PI), CNU, Korea (20M KRW)
Project Details
Visual Modeling and Analytics of Dynamic Environments for the Mass
Period : Apr. 2014 - Feb. 2015
Project Type : Internal funding from ADSC, Singapore: joint research project with UIUC
Role : Global labeling optimization, visual correspondence, and reliable sparse interpolation
(presented at ICME 2015 and ICASSP 2016 tutorials)
Project Details
Remote Reality for Immersive Communications and Games
Period : july. 2010 - Mar. 2014
Project Type : Internal funding from ADSC, Singapore: joint research project with UIUC
Role : Edge-preserving filters and discrete labeling optimization (presented at ICIP 2013 tutorial)
Project Details
3D Display Processing Techniques
Period : June. 2009 - June. 2010
Project Type : Funded by Mitsubishi Electric Research Laboratories (MERL), US
Role : Depth estimation for 3DTV and video processing with temporal coherence
Project Details
Research and Development of Next Generation Intelligent Broadcasting Technology
Period : Mar. 2003 - May. 2009
Project Type : ‘Information Technology Research Center’ (ITRC) of Ministry of Knowledge Economy, Korea
Role : Depth estimation, image-based rendering, 2D-to-3D conversion
Project Details
SoC Development for 3D Media Processing
Period : Sep. 2003 - Aug. 2006
Project Type : ‘System IC 2010 Project’ of Ministry of Knowledge Economy, Korea
Role : Real-time depth estimation on SoC
Project Details
Development of the Core Technology for 3DTV System
Period : Sep. 2005 - Aug. 2008
Project Type : ‘Fostering Project of Lab of Excellency’ of Korea Industrial Technology Foundation
Role : 3D video/audio capturing system, hybrid depth sensor system, and 3D scene modeling
Project Details
Camera Tracking and 3D Shape Reconstruction
Period : May. 2008 - Apr. 2009
Project Type : Funded by Korean Broadcasting System (KBS)
Role : 3D scene modeling using Structure-from-Motion (SfM)
Project Details
Current Projects
A study on AI-inspired super-resolution techniques using single or heterogeneous sensors
(단일 또는 이종센서 CCTV 영상을 위한 AI-inspired 초해상도 기술 개발)
Period : Oct. 2018 ~ Feb. 2021
Project Type : Core Technology Development Program (원천기술 개발사업), National Research Foundation (NRF) of Korea (290M KRW)
Role : Co-Principal Investigator (PI), Ewha Womans University, Korea
To create AI systems that act appropriately and effectively in novel situations that occur in open worlds
(현실 세계에서 변화하는 상황에 따라 지속적으로 자가 개선하는 인공지능 기술 개발)
Period : Apr. 2020 ~ Dec. 2021
Project Type : Next-Generation Artificial Intelligence Program (차세대 인공지능 핵심원천사업), Institute for Information & Communications Technology Promotion (IITP) (300M KRW)
Role : Co-Principal Investigator (PI), Ewha Womans University, Korea
Multi-task Learning Model for Complementary Scene Understanding based on Depth Estimation and Object Detection/Segmentation
(깊이추정 및 객체 검출/분할 기반 상호보완적 장면이해를 위한 다중작업 학습모델 연구)
Period : Mar. 2021 ~ Feb. 2024
Project Type : Mid-Career Researcher Program (중견연구 지원사업), National Research Foundation (NRF) of Korea (600M KRW)
Role : Principal Investigator (PI), Ewha Womans University, Korea
AiA(AI in Action): Autonomous Action Planning AI Lab
(AiA(AI in Action): 자율행동계획 인공지능 연구실)
Period : Jun. 2021 ~ Feb. 2024
Project Type : Basic Research Laboratory (기초연구실 지원사업), National Research Foundation (NRF) of Korea (1,375M KRW)
Role : Principal Investigator (PI), Ewha Womans University, Korea
Research on upgrading AI-based automatic water detection technology for efficient vehicle development
(차량 개발 효율화을 위한 AI 기반 자동 물 유입 검출 기술 업그레이드 연구)
Period : Apr. 2021 ~ Sep. 2022
Project Type : Industry Project (산학과제), Hyundai NGV (102M KRW)
Role : Principal Investigator (PI), Ewha Womans University, Korea
Previous Projects
Complementary Deep Learning Model for Pixel-level Correspondence/Segmentation and Image-level Retrieval
(픽셀 수준 시멘틱 정합/분할과 영상 수준 검색을 위한 상호보완적 딥러닝 모델 연구)
Period : Mar. 2018 ~ Feb. 2021
Project Type : Young Researcher Program (신진연구 지원사업), National Research Foundation (NRF) of Korea (400M KRW)
Role : Principal Investigator (PI), Ewha Womans University, Korea
Project Details
Highly Efficient and Advanced Visual Correspondence Algorithms for Big Visual Data
Period : Nov. 2015 - Ocb. 2018
Project Type : ‘Individual Basic Science and Engineering Research Program’ of NRF Korea
Role : Principal Investigator (PI), CNU, Korea (51M KRW/year)
Project Details
High Quality 2D-to-Multiview Contents Generation from Large-scale RGB+D Database
(RGB+D 빅데이터 기반 고정밀 2D-to-Multiview 콘텐츠 변환 기술 개발)
Period : July. 2015 ~ Aug. 2017
Project Type : Digital Content Technology Development Program (디지털콘텐츠 원천기술개발사업), Institute for Information & Communications Technology Promotion (IITP) (160M KRW)
Role : Co-Principal Investigator (Co-PI), Chungnam National University, Korea
Project Details
Real-time Monitoring of Points of Impact
Period : Ocb. 2015 - Feb. 2016
Project Type : Funded by Institute for Information & Communications Technology Promotion (IITP), Korea
Role : Principal Investigator (PI), CNU, Korea (40M KRW)
Project Details
Optimization for Visual Correspondence
Period : June. 2015 - May. 2016
Project Type : Starting-up funding from CNU, Korea
Role : Principal Investigator (PI), CNU, Korea (20M KRW)
Project Details
Visual Modeling and Analytics of Dynamic Environments for the Mass
Period : Apr. 2014 - Feb. 2015
Project Type : Internal funding from ADSC, Singapore: joint research project with UIUC
Role : Global labeling optimization, visual correspondence, and reliable sparse interpolation
(presented at ICME 2015 and ICASSP 2016 tutorials)
Project Details
Remote Reality for Immersive Communications and Games
Period : july. 2010 - Mar. 2014
Project Type : Internal funding from ADSC, Singapore: joint research project with UIUC
Role : Edge-preserving filters and discrete labeling optimization (presented at ICIP 2013 tutorial)
Project Details
3D Display Processing Techniques
Period : June. 2009 - June. 2010
Project Type : Funded by Mitsubishi Electric Research Laboratories (MERL), US
Role : Depth estimation for 3DTV and video processing with temporal coherence
Project Details
Research and Development of Next Generation Intelligent Broadcasting Technology
Period : Mar. 2003 - May. 2009
Project Type : ‘Information Technology Research Center’ (ITRC) of Ministry of Knowledge Economy, Korea
Role : Depth estimation, image-based rendering, 2D-to-3D conversion
Project Details
SoC Development for 3D Media Processing
Period : Sep. 2003 - Aug. 2006
Project Type : ‘System IC 2010 Project’ of Ministry of Knowledge Economy, Korea
Role : Real-time depth estimation on SoC
Project Details
Development of the Core Technology for 3DTV System
Period : Sep. 2005 - Aug. 2008
Project Type : ‘Fostering Project of Lab of Excellency’ of Korea Industrial Technology Foundation
Role : 3D video/audio capturing system, hybrid depth sensor system, and 3D scene modeling
Project Details
Camera Tracking and 3D Shape Reconstruction
Period : May. 2008 - Apr. 2009
Project Type : Funded by Korean Broadcasting System (KBS)
Role : 3D scene modeling using Structure-from-Motion (SfM)
