Inyong Koo (구인용)

Education

• 2020.3 - Present     Combined(M.S. & Ph.D.)  (School of Electrical Engineering), Korea Advanced Institute of Science Technology, South Korea

• 2016.3 - 2020.2       B.S. (School of Electrical Engineering), Korea Advanced Institute of Science Technology, South Korea

Research Interests

• Computer Vision

• Few-shot Learning

Projects

• 2020.3 - 2020.11

Center for Security Technology Research, Korea Advanced Institute of Science and Technology (KAIST) 

Title: Research on machine learning using tiny data (소량의 데이터를 활용한 머신러닝 기술(방안) 연구)

• 2021.1 - 2021.11

Center for Security Technology Research, Korea Advanced Institute of Science and Technology (KAIST) 

Title: Advanced research on machine learning using tiny data (소량의 데이터를 활용한 머신러닝 기술(방안) 고도화)

• 2021.3 - 2021.12

Agency of Defense Development (ADD)

National Defense AI Specialized Research Center Phase 1 (미래국방 인공지능 특화연구센터(2019)1단계 ) 

Publications

• 구인용, 정민기, 김창익, "극소수 예시 오픈 세트 식별 문제에서의 비관측 범주 이미지 검출 성능 향상", 대한전자공학회 추계학술대회, 김대중컨벤션센터 광주, Nov. 27-28, 2020.

• 박연주, 구인용, 정민기, 김창익, "트랜스포머를 이용한 다종 센서 기반 행동 인식," 대한전자공학회 추계학술대회, 송도컨벤시아 인천, Nov. 26-27, 2021.

• Inyong Koo, Yeonju Park, Minki Jeong, and Changick Kim, "Contrastive Accelerometer-Gyroscope Embedding Model for Human Activity Recognition", IEEE Sensors, vol. 23, no. 1, pp. 506-513, Jan. 2023.

• Inyong Koo*, Inyoung Lee*, Se-Ho Kim, Hee-Seon Kim, Woo-jin Jeon, and Changick Kim. “PG-RCNN: Semantic Surface Point Generation for 3D Object Detection,” in Proc. IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, Oct. 02 - 06, 2023.  (* These two authors contributed equally)

Awards

• 대한전자공학회 추계학술대회 우수논문상 (2020)