Juyoung, Lee
Research Engineer,
Kakao corp.
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(almost my projects are pushed into company private github)Educational Background
B.S. in Dept. of Computer Engineering , Hongik University, Seoul, Korea, 2007
M.S. in Dept. of Information Technology, POSTECH, Korea, 2009
Career History
Olaworks, 2009 ~ 2010 (closed, acquired by Intel)
Daum Communication, 2010 ~ 2014 (merged with kakao)
kakao, 2014 ~ 2019
kakao enterprise, 2019~2023
kakao brain, 2023 ~ 2024
kakao, 2024 ~ current
Publications
International Conference
Jeonghoon Park, Juyoung Lee, Chaeyeon Chung, Jaeseong Lee, Jaegul Choo, Jindong Gu, Fair Generation without Unfair Distortions: Debiasing Text-to-Image Generation with Entanglement-Free Attention, ICCV 2025
Jeonghoon Park,* Chaeyeon Chung,* Juyoung Lee, and Jaegul Choo, Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair, CVPR 2024 (*: equal contributions)
Jungsoo Lee, Juyoung Lee, Sanghun Jung, and Jaegul Choo, Improving Evaluation of Debiasing in Image Classification, arXiv
Jungsoo Lee,* Jeonghoon Park,* Daeyoung Kim,* Juyoung Lee, Edward Choi, and Jaegul Choo, Revisiting the Importance of Amplifying Bias for Debiasing, AAAI 2023, Accepted (19.6% accept rate) (*equal contributions)
Eungyeup Kim*, Jungsoo Lee*, Juyoung Lee, Jihyeon Lee, Jaegul Choo, Learning Debiased Representation via Disentangled Feature Augmentation, NeurIPS 2021, Accepted as Oral Presentation (<1%) (*equal contribution)
Jicheol Park*, Boseung Jeong*, Jongju Shin, Juyoung Lee, and Suha Kwak, Learning Discriminative Part Features through Attentions for Effective and Scalable Person Search, ICIP, 2020 (*equal contribution)
Ju-young Lee, Myung-Cheol Roh, Deep Metric Learning with Multi-Objective Functions, CVFAD (Computer Vision for Fashion, Art and Design) Workshop (CVPR 2020), 2020
Myung-Cheol Roh, Ju-young Lee, Refining faster-RCNN for accurate object detection, In Proceeding of the Fifteenth IAPR International Conference on Machine Vision Applications (MVA), 2017
Hyung-Soo Lee, Sungsoo Park, Bong-Nam Kang, Jongju Shin, Ju-Young Lee, Hongmo Je, Bongjin Jun, and Daijin Kim, "The POSTECH Face Database (PF07) and Performance Evaluation" , In Proceeding of the 8th IEEE International conference on Automatic Face and Gesture recognition, Amsterdam, the netherlands, 2008.
Suk-Won Choi, Ju-Young Lee, Daijin Kim, HEAD TRACKING USING 3D ELLIPSOIDAL HEAD MODEL IN PARTICLE FILTERS, In Proceeding of the 8th POSTECH-KYUTECH Joint Workshop, JAPAN, Aug, 2008.
Domestic Conference
Ju-young Lee, Hyun-chul Choi, Jaebum, Kim, 로드뷰 이미지에서 개인정보 보호를 컨텍스트 기반의 자동 얼굴 필터링, 대한전자공학회 하계종합학술대회, 2012
Ju-Young Lee, Daijin Kim, 2차 테일러 근사를 이용한 원거리 얼굴 추적, IPIU, 2009
Domestic Journal
Ju-Young Lee, Daijin Kim, 외형 매칭을 이용한 이벤트 검출 = Event Detection Using Shape Matching, 한국정보과학회 논문지, Vol.35 No.2, 408-411, 2008
Tech Report
이주영, 노명철, "[카카오 AI 리포트] ICCV 2017 참관기", Aug 2017 (link)
노명철, 이주영, "[카카오 AI 리포트] 사진에서 사람을 읽다", Aug 2017 (link)
Patent
제목 (Title), 출원인 (Inventor), 출원/등록번호 (App/Pub Number)
음식 인식 방법 및 장치
홍은빈, 이주영, 10-2022-0103071
인터랙션을 이용한 메신저 검색 방법, 그리고 이를 구현한 서버 및 어플리케이션 (MESSENGER SEARCHING METHOD BASED ON INTERACTION, AND SERVER AND APPLICATION IMPLEMENTING THE SAME METHOD)
김유미, 장성용, 박일남, 신명철, 최동진, 장준혁, 변민우, 양정석, 이주영, 이근섭, 김일태, 이혜미, 김종민, 윤유경, 이성목, 1020160184388, 102079221
썸네일 이미지 생성 방법, 서버 및 컴퓨터 프로그램 (METHOD, SERVER AND COMPUTER PROGRAM FOR GENERATING THUMBNAIL IMAGE)
김재범, 박인선, 김일두, 변민우, 이주영, 양정석, 백운혁, 1020150188443, 1017205840000
유사 상품 검색 방법 및 유사 상품 검색 서버 (METHOD AND SERVER FOR SEARCHING SIMILAR GOODS)
김재범, 김현우, 이주영, 백운혁, 1020140166776, 1016396570000
실물 인식을 이용한 얼굴 인식 시스템 및 방법 (System and method for recognition of face using the real face recognition.)
김대진, 김익동, 박상조, 박성수, 박정훈, 박흥준, 오철균, 이주영, 전봉진, 1020080067706, 1008802560000
얼굴 인식 시스템 및 방법 (System and method for recognition of face),
김대진, 김익동, 박상조, 박성수, 박정훈, 박흥준, 오철균, 이주영, 전봉진, 1020080057935, 1009049160000
타원체 모델을 이용한 파티클 필터에서의 머리 추적 방법 (Robust head tracking method using ellipsoidal model in particle filters),
최석원, 김대진, 이주영, 1020080001428, 1009517930000
ETC
GTC Korea 2016, Nvidia Food 101 contest: accuracy 85.42% (not submission)
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