Faculty Research Profile
Seungjoon Yang
학력
University of Wisconsin-Madison
Seoul National University
주요 경력
Samsung Electronics Co. Ltd.
신호처리연구실
Signal Processing Lab.
spl@UNIST는 이미지 획득 시스템 / 이미지 디스플레이 시스템 / 제품 품질 검사 / 플랜트 및 프로세스 자동화의 응용 분야에서 비정상 신호 처리 / 머신 러닝을 연구합니다.
spl@UNIST studies nonstationary signal processing / machine learning in the application domains of image acquisition systems / image display systems / product quality inspection / plant & process automation.
spl@UNIST studies nonstationary signal processing / machine learning in the application domains of image acquisition systems / image display systems / product quality inspection / plant & process automation.
연구분야
Nonstationary Signal Processing
Nonstationary Signal Processing
연구 희망분야
Product Quality Inspection, Plant & Process Automation
Product Quality Inspection, Plant & Process Automation
연구주제
Nonstationary Degradation Identification & Restoration
Design of Efficient Deep Neural Networks & Applications
Product Quality Inspection & Process Automation
Nonstationary Degradation Identification & Restoration
Design of Efficient Deep Neural Networks & Applications
Product Quality Inspection & Process Automation
국가연구개발사업 기술 분류체계
국가과학기술표준분류
ED. 전기/전자 > ED08. 영상·음향기기 > ED0806. 카메라/캠코더
논문
Gwak, Moonsung and Seungjoon Yang, “Modeling Nonstationary Lens Blur Using Eigen Blur Kernels for Restoration.” Optics Express (2020)
Cho, Hyunjoong, Jinhyeok Jang, Chanhyuk Lee, and Seungjoon Yang, “Efficient Architecture for Deep Neural Networks with Heterogeneous Sensitivity.” Neural Networks (2020)
Jang, Jinhyeok, Hyunjoong Cho, Jaehong Kim, Jaeyeon Lee, and Seungjoon Yang. "Facial attribute recognition by recurrent learning with visual fixation." IEEE transactions on cybernetics (2018)