Project

Current Projects

  1. Complementary Deep Learning Model for Pixel-level Correspondence/Segmentation and Image-level Retrieval
    • Period : Mar.2018 ~ Feb.2021
    • Organization : Funded by National Research Foundation (NRF) of Korea, Korea (100M KRW/year)
    • Role : Principal Investigator (PI), Chungnam National University, Korea
  2. A study on highly efficient and advanced visual correspondence algorithms for big visual data
    • Period : Nov. 2015 ~ Oct. 2018
    • Organization : Funded by National Research Foundation (NRF) of Korea, Korea (51M KRW/year)
    • Role : Principal Investigator (PI), Chungnam National University, Korea
  3. High Quality 2D-to-Multiview Contents Generation from Large-scale RGB+D Database
    • Period : July. 2015 ~ Aug. 2017
    • Organization : Funded by Institute for Information & Communications Technology Promotion (IITP), Korea (80M KRW/year)
    • Role : Co-Principal Investigator (Co-PI), Chungnam National University, Korea

Previous Projects

  1. Visual Modeling and Analytics of Dynamic Environments for the Mass
    • Period : Apr. 2014 ~ Feb. 2015
    • Organization : Funded by Advance Digital Science Center (ADSC), Singapore
    • Role : Research scientist, Advance Digital Science Center (ADSC), Singapore
    • Project Details link
      • eveloped a fast inference machine (e.g. global optimization) that is suitable in handling and labeling the large-scale, high-dimensional visual data (Big visual data analysis).
  2. Remote Reality for Immersive Communications and Games
    • Period : Jul. 2010 ~ Mar. 2014
    • Organization : Funded by Advance Digital Science Center (ADSC), Singapore
    • Role : Researcher, and later Research scientist, Advance Digital Science Center (ADSC), Singapore
    • Project Details link
      • Developed novel edge-preserving filters as generic computing tools for image processing and computer vision applications. The overview of this work was presented in a half-day tutorial in ICIP 2013.link
      • Developed fast and high-quality image/video editing and enhancement tools.
      • Developed fast discrete labeling algorithms for Nearest Neighbor Fields (NNF) search and depth/optical flow estimation.
      • Developed reliable video based rendering (VBR) algorithms for freeview video generation.
      • Developed novel methods for depth enhancement and coding using active depth sensor such as Time-of-Flight (ToF) camera and Kinect.
      • Developed a tele-conferencing system using MS Kinect (with image based rendering and object segmentation).
      • Developed real-time image processing algorithms on GPUs with interns.
      • Collaborated with the embedded system group (ADSC) for FPGA implementation of computer vision algorithms using high level synthesis tools.
  3. 3D Display Processing Techniques
    • Period : Jun. 2009 ~ Jun. 2010
    • Organization : Funded by Mitsubishi Electric Research Laboratories (MERL), US
    • Role : Post-doctoral researcher, Mitsubishi Electric Research Laboratories (MERL), US
    • Project Details link
      • Developed a prototype of 3D video system (3DTV)
      • Developed efficient and accurate depth estimation and occlusion handling methods for 3D video processing
      • Developed 3D video processing method with temporal coherence

Current Projects

  1. Complementary Deep Learning Model for Pixel-level Correspondence/Segmentation and Image-level Retrieval
    • Period : Mar.2018 ~ Feb.2021
    • Organization : Funded by National Research Foundation (NRF) of Korea, Korea (100M KRW/year)
    • Role : Principal Investigator (PI), Chungnam National University, Korea
  2. A study on highly efficient and advanced visual correspondence algorithms for big visual data
    • Period : Nov. 2015 ~ Oct. 2018
    • Organization : Funded by National Research Foundation (NRF) of Korea, Korea (51M KRW/year)
    • Role : Principal Investigator (PI), Chungnam National University, Korea
  3. High Quality 2D-to-Multiview Contents Generation from Large-scale RGB+D Database
    • Period : July. 2015 ~ Aug. 2017
    • Organization : Funded by Institute for Information & Communications Technology Promotion (IITP), Korea (80M KRW/year)
    • Role : Co-Principal Investigator (Co-PI), Chungnam National University, Korea
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