Heechul Jung (Google Scholar)


Current Position : PhD Candidate at Korea Advanced Institute of Science and Technology (KAIST, 2011 ~ ), SIIT Lab.

 

Research area : Deep learning, Motion analysis

Publication

   - Technical Report
  • Heechul Jung, Sihaeng Lee, Sunjeong Park, Injae Lee, Chung Hyun Ahn and Junmo Kim, "Deep Temporal Apperance-Geometry Network for Facial Expression Recognition", arxiv 2015. (initial version for ICCV 2015 paper, link

   - International Journal
  • Heechul Jung, Jonghoon Kwak, and Junmo Kim, "A Self Lane Assignment Algorithm based on Detection of Multi-lane and Lane Change", Submission

   - International Conference
  • Injae Lee, Heechul Jung, Chung Hyun Ahn, Jeongil Seo, Junmo Kim, Ohseok Kwon, "Real-time Personalized Facial Expression Recognition System based on Deep Learning", ICCE 2016.
  • Heechul Jung, Sihaeng Lee, Junho Yim, Sunjeong Park and Junmo Kim, "Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition", ICCV 2015. (pdf)
  • Junho Yim, Heechul Jung, Byeongin Yoo, Changkyu Choi, Dusik Park and Junmo Kim, "Rotating Your Face Using Multi-task Deep Neural Network", CVPR 2015 (acceptance rate : 28%)
  • Heechul Jung, Sihaeng Lee, Sunjeong Park, Byungju Kim, Injae Lee, Chunghyun Ahn, and Junmo Kim, "Development of Deep Learning-based Facial Expression Recognition System", FCV 2015.
  • Junho Yim, Jeongwoo Ju, Heechul Jung and Junmo Kim, "Image Classification using Convolutional Neural Networks with Multi-Stage Feature", RITA 2014.
  • Heechul Jung, Jeongwoo Ju and Junmo Kim, "Rigid Motion Segmentation using Randomized Voting", CVPR 2014 (acceptance rate : 29.88% (540/1807)). (project, code)
  • Heechul Jung and Junmo Kim, "Rigid Motion Segmentation", IWRCV 2014. (oral presentation)
  • Heechul Jung, Junggon Min and Junmo Kim, "An Efficient Lane Detection Algorithm For Lane Departure Detection", IV 2013.
  • SungRyull Sohn, Hansang Lee, Heechul Jung and Junmo Kim, "High-definition Video-based Multi-channel Top-view Vehicle Surrounding Monitoring System for Mobile Navigation Devices", ICCE 2013.
  • Jeongwoo Ju, Heechul Jung and Junmo Kim, "Speaker Dependent Visual Speech Recognition Using Extended Curvature Gabor Filters", ICCE 2013.
  • Jeongwoo Ju,  Heechul Jung and Junmo Kim, "Speaker Dependent Visual Speech Recognition by Symbol and Real Value Assignment", RITA 2012.
  • Hansang Lee, D. H. Lee, Heechul Jung, M. Choi and Junmo Kim, "Global Color Balancing for Satellite Image Mosaicing Using Decorrelated Color Spaces", ICEIC 2012.
  • Jonghwan Kim, Heechul Jung, and Jonghoon Lee, "Improved AdaBoost learning for vehicle detection", ICMV 2010.
  • Heechul Jung and Moongu Jeon, "Enhanced SVD based Watermarking with Genetic Algorithms", LNCS FGCN 2009(oral presentation)

  - Domestic Journal

  • 강산들, 황중원, 정희철, 한동윤, 심성대, 김준모, "지역적, 전역적 특징을 이용한 환경 인식", 한국군사과학기술학회지, 제15권, 제3호, pp. 298~305, 2012년 6월


  - Domestic Conference
  • Heechul JungByungju Kim, Hyungsuk Lee and Junmo Kim, "Salient Object Detection based on Motion Segmentation", IPIU 2015, Best Paper Award
  • Heechul Jung and Junmo Kim, "Graph-based Video Segmentation using Motion", IPIU 2013.
  • Jonghwan Kim, Heechul Jung and Jonghoon Lee, "Adaboost Learning Method using Feedback-input", 임베디드공학회 2010.
  • Heechul Jung, Jonghwan Kim, Chung-Hee Lee and Jonghoon Lee, "Online Self-Training Method for Vehicle Detection", 신호처리합동학술대회 2010.
  • Jonghwan Kim, Heechul Jung and Jonghoon Lee, "Real-time Vehicle Detection using Adaboost", 신호처리합동학술대회 2010.
  • E. Yang, S. Noh, J. Yu, Y. Woo, W. Byeon, Heechul Jung and Moongu Jeon, "Texture-less Object Recognition using Stereo Camera",  한국정보기술학회 2010.
  • Heechul Jung and Moongu Jeon, "Image Watermark Enhancement using Genetic Algorithm", 한국통신학회 신호처리 및 검출추정이론연구회 공동 추계워크샵 2008. 

  - Demo
  • Soon Kwon, Jonghwan Kim, Heechul Jung, Young-chul Lim, Chung-Hee Lee, "Real-time Stereo Vision System for On-road Obstacle Detection", CVPR 2011.

  - International Patents
  • 유병인,임준호,김준모,정희철,최창규,한재준, "DEVICE AND METHOD TO GENERATE IMAGE USING IMAGE LEARNING MODEL", 미국 출원
  • 김준모, 정희철, 주정우, "METHOD OF MOTION SEGMENTATION IN VIDEO USING RANDOMIZED VOTING AND SYSTEM HAVING THE SAME", 미국 및 유럽 출원
  • 김준모, 정희철, 주정우, "무작위 보팅을 이용하는 동영상에서의 움직임 분할 방법 및 시스템", PCT 출원

  - Domestic Patents
  • 김준모, 정희철, 주정우, "다양한 환경변화에도 강인한 무작위 보팅을 이용한 움직임 분할 기법", 출원번호 : 10-2015-0054605
  • 김준모, 정희철, 이형석, "다중차선검출과 차선 변경 감지 기반의 차로 인식 기법", 출원번호 : 10-2015-0051789 
  • 김준모, 정희철, 주정우, "자동차 안전을 위한 노면 상태 인식 시스템 및 그 방법", 등록
  • 정희철, 민정곤, "실시간 차선 위치 감지 시스템 및 방법, 이를 이용한 차량용 네비게이션 및 블랙박스 장치", 등록

  - Seminar
  • Teaching Assistant, "Demonstration of CNN-based Object Recognition using Caffe", Deep Learning Tutorial, KAIST, June 2015 (pdf, code)
  • Teaching Assistant, "Demonstration of CNN-based Object Recognition using Caffe", Deep Learning Tutorial, SNU, March 2015

  - Project Experiences
  • "Object Detection and Recognition using RGB-D sensor", Ministry of Trade, Industry & Energy, 2013. 5 ~
  • "차세대 차량용 융복합 정보기기 기술개발", 충청광역경제권 선도산업, 2012. 5 ~
  • "차선 이탈 경고 알고리즘 개발", 중소기업과제, 2012.4 ~ 2012.6
  • "영상항법 기술을 응용한 소형 로봇의 자율경로복귀 기술 연구", ADD, 2011.4 ~ 2012.3
  • "Development of Restoration Algorithms for Satellite Imagery". KARI, 2011.4 ~ 2011.12
  • "Stereo Vision based Vehicle detection System Development", DGIST, 2010.2 ~ 2010.12

  - Educations

  • M.S : Information and Communications, Gwangju Institute of Science and Technology (GIST), Gwangju, Korea, 2010
  • (Thesis : A Study on Digital Image Processing and Its Applications - Object Recognition and Digital Watermarking)
  • B.S : (Major) Internet Science (Minor) Software Engineering, Sejong University, Seoul, Korea, 2007
 
  - Job Experiences
  • 2010. 2 ~ 2010.12   Researcher at Daegu Gyeongbuk Institute of Science and Technology (DGIST)
  • 2007.11 ~ 2008. 2   Intern at Gwangju Institute of Science and Technology (GIST) 
 
  - Courses(Graduated)
  • Digital Image Processing, Computer Vision, Machine Learning, Statistical Learning Theory, Pattern Recognition, Multiple View Geometry, High Level Image Understanding, Advanced Algorithm, Advanced Discrete Mathematics, Matrix Computation