ICVSLab.:
Intelligent
Computer
Vision
Software
Laboratory
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Research Projects |
[21] February 2024 - November 2024: Lumbar Vertebrae Landmark Detection on Multi-view X-ray images supported by Korea Institute of Oriental Medicine. (on going)
[20] January 2023 - November 2023: Advanced technology for Lumbar Vertebrae Landmark Detection on X-ray images supported by Korea Institute of Oriental Medicine.
[19] March 2022 - February 2027: Cross-modal style transfer and content generation supported by National Research Foundation of Korea. (on going)
[18] April 2022 - December 2024: YU-POSTECH Semiconductor Technology Design Automation by Korea Evaluation Institute of Industrial Technology. (on going)
[17] July 2020 - February 2023: POSTECH-YU-SK hynix Basic Research Laboratory (BRL): AI-based optimization for high performance NAND flash memory (co-researcher) supported by National Research Foundation of Korea.
[16] June 2022 - November 2022: Plant Stem Detection for Growth Status Monitoring supported by Electronics and Telecommunications Research Institute.
[15] January 2022 - November 2022: Lumbar Vertebrae Landmark Detection on X-ray images supported by Korea Institute of Oriental Medicine.
[14] March 2020 - January 2021: High performance computing server supported by National IT Industry Promotion Agency (NIPA).
[13] March 2018 - February 2021: Learning multi-purposed compact deep neural network by using domain adaptation and network pruning techniques and its applications on computer vision topics supported by National Research Foundation of Korea.
[12] September 2017 - July 2020: Image processing for image distortion correction and text localization (co-researcher) supported by National Research Foundation of Korea.
[11] March 2016 - : NVIDIA Academic Hardware Grant with a Tesla K40 GPU device.
[10] July 2015 - June 2018: Spatially expandable nonlinear regression learning on a large number of data from regular grid textures and its application to realtime motion parameter estimation supported by National Research Foundation of Korea.
[9] August 2014 - December 2016, Photogrammetry: 3D reconstruction of coded targets on multiple views of 2D images supported by Samsung Heavy Industry corp.
[8] December 2013 - February 2014, Developing learning-based realtime facial feature detector in Daum communications.
[7] February 2011 - December 2013, Developing realtime video frame search engine (playfromimage) in Daum communications.
[6] March 2010 - May 2010, Realtime facial feature tracking by using canonical patches in Infomatik RWTH Aachen, Germany.
[5] January 2010 - February 2010, Developing CPR monitoring system: hand and head motion tracker in IIT, AIST, Japan.
[4] June 2009 - February 2010, Lane departure warning and forward collision warning system supported by ImageNext Co. Ltd.: Developing a robust driver assistant warning system which includes fast lane detector and tracker, forward vehicle detector, lane color recognizer, and proper warning schemes.
[3] March 2007 - February 2009, 3D face reconstruction from 2D image supported by Korea Telecom Company: Developing an easy algorithm to make a facial 3D morphable model form 3D scan data and efficient fitting method for 3D face reconstruction from a 2D image.
[2] March 2007 - January 2008, Visual monitoring of driver's head for proactive safety supported by Deagu Gyeongbuk Institute of Science and Technology (DGIST): Improving 2D+3D active appearance model in robustness against varying illumination and texture changes.
[1] July 2004 - March 2008, Physical modeling for memory cognition and realizing the united cognitive/mathematical-physical model supported by Korean Ministry of Knowledge Economy: Developing Walsh-based distributed associative memory which is efficient in storage capability and fast retrieval.
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