Byungtae Ahn

Senior Researcher / Ph.D.

Department of Artificial Intelligence Machinery

Korea Institute of Machinery & Materials


Tel. : +82-42-868-7590

Email: btahn@kimm.re.kr

Info: [CV][Google Scholar] (CV is not up to date now)

Research Interests

  • Computer Vision & Robot Vision

  • Deep Learning

  • Autonomous Mobile Robot


International Publications


Head Pose-free Gaze Estimation Using Domain Adaptation

Byungtae Ahn, Minseok Seo, and Dong-Geol Choi

Electronics Letters (EL), May 2021.

Real-time Head Pose Estimation Using Multi-task Deep Neural Network

Byungtae Ahn, Dong-Geol Choi, Jaesik Park, and In So Kweon

Robotics and Autonomous Systems (RAS), May 2018.

[Bibtex] [PDF]

Deep Representation of Industrial Components using Simulated Images

Seong-Heum Kim, Gyeongmin Choe, Byungtae Ahn, and In So Kweon

IEEE International Conference on Robotics and Automation (ICRA), May 2017.

[Bibtex] [PDF]

An Autonomous Driving System for Unknown Environments using a Unified Map

Inwook Shim, Jongwon Choi, Seunghak Shin, Tae-Hyun Oh, Unghui Lee,

Byungtae Ahn, Dong-Geol Choi, David Hyunchul Shim, and In So Kweon

IEEE Transactions on Intelligent Transportation Systems (T-ITS), Aug. 2015.

[Bibtex] [PDF]

Real-time Head Orientation from a Monocular Camera using Deep Neural Network

Byungtae Ahn, Jaesik Park, and In So Kweon

Asian Conference on Computer Vision (ACCV), Nov. 2014.

[Bibtex] [PDF] [Poster]

GMM-based Saliency Aggregation for Calibration-free Gaze Estimation

Jinsoo Choi, Byungtae Ahn, Jaesik Park, and In So Kweon

IEEE International Conference on Image Processing (ICIP), Oct. 2014.

[Bibtex] [PDF]

Appearance-based Gaze Estimation using Kinect

Jinsoo Choi, Byungtae Ahn, Jaesik Park, and In So Kweon

IEEE International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2013.

Haze Removal on Superpixel Domain

Sang-Woo Noh, Byungtae Ahn, and In So Kweon

IEEE International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2013.

Crosswalk and Traffic Light Detection via Integral Framework

Jongwon Choi, Byungtae Ahn, and In So Kweon

19th Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV), Feb. 2013.

Real-Time Facial Landmarks Tracking using Active Shape Model and LK Optical Flow

Byungtae Ahn, Yudeog Han, and In So Kweon

IEEE International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2012.

Haze Removal using Visible and Infrared Image Fusion

Byungtae Ahn, Tae-Wuk Bae, and In So Kweon

IEEE International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), 2011.


Domestic Publications (in Korean)


  • AI와 IoT 센서를 이용한 클라우드 기반 건축물 실시간 상태감시 및 예측시스템 개발
    Chang-Wan Ha, Byungtae Ahn, Young-Sik Shin, Jinseong Park, Jai-Kyung Lee, and Jung-Jip Kim
    한국방재학회논문집, 2021.

  • 다중크기와 다중객체의 실시간 얼굴 검출과 머리 자세 추정을 위한 심층 신경망
    Byungtae Ahn
    , Dong-Geol Choi, and In So Kweon
    로봇학회 논문지, Aug. 2017.

  • 깊은 신경망을 통한 사용자 머리 자세 추정
    Byungtae Ahn
    and In So Kweon
    한국로봇종합학술대회 (KRoC), Jun. 2014.

  • 안정적인 실시간 얼굴 특징점 추적과 감정인식 응용
    Byungtae Ahn
    , Eung-Hee Kim, Jin-Hun Sohn, and In So Kweon
    로봇학회 논문지, 2013.

  • 컬러영상분할을 이용한 향상된 안개제거
    Sang-Woo Noh, Byungtae Ahn, and In So Kweon
    신호처리합동학술대회, 2013.


Honors & Awards


  • 표창장 (이상행동 검출 지능형 CCTV 개발), 대전도시철도공사, Dec. 2020

  • 특별공로상 (AI Summer/Winter School 강의), 한국기계연구원, Dec. 2019

  • Listed in Marquis Who’s Who in the World, 2016-present

  • Excellent Paper Award, The 9th Korea Robotics Society Annual Conference, Jun. 2014

  • Qualcomm Innovation Award, Qualcomm Korea Corp. and KAIST, Sep. 2013

  • Another Best Poster Award, The 7th International Workshop on Robust Computer Vision, Jan. 2013

  • Best Poster Award, The 7th International Workshop on Robust Computer Vision, Jan. 2013

  • Participation Award, Autonomous Vehicle Competition, Hyundai Motor Group, Sep. 2012

  • Highest Standing Award, International Robot Outdoor Navigation Contest, Ministry of Knowledge Economy, Korea, Nov. 2010

  • Excellence Award, International Robot Outdoor Navigation Contest, Ministry of Knowledge Economy, Korea, Oct. 2009