Others
Books
1. 신현철, 강행봉, 곽노준, 김학일, 조상복, "지능형 차량 안전을 위한 영상 및 비전 시스템",
홍릉과학출판사, ISBN 9788997570492, 2012.
2. Jiyong Oh and Nojun Kwak, "Robust PCAs and PCA using generalized mean"
(Chapter 4, pp. 71 - 98), in Advances in Principal Component Analysis - Research and Development, Springer Singapore (editor: Ganesh R. Naik), eBook ISBN 978-981-10-6704-4, 2018.
Awards & Honors
1. "Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation" won the best paper
award in The 3rd Workshop on Real-World Surveillance: Applications and Challenges @ WACV2023
2. "Phase Selective Convolution" got the Best Paper Award, Embedded Vision Workshop @ CVPR2021
4. 과학기술정보통신부장관 표창 (제 21635호, 융합연구 활성화에 기여), 2017년 11월 23일.
5. Textbook Question Answering Challenge (CVPR 2017 Workshop, 4th both in Text Question and Diagram Question)
6. Charades Action Recognition Challenge (CVPR 2017 Workshop, 5th place)
7. Kaggle Data Science Bowl 2017 Challenge (35th place among 1,972 teams)
8. Imagenet Challenge (localization) (ICCV 2015 Workshop, Poster Presentation)
10. ChaLearn Looking at People - Cultural Event Classification Challenge (CVPR 2015 Workshop, 3rd place)
11. DARPA Robotics Challenge Finals 2015 (12th place among 25 teams, co-leaded Team-SNU)
12. Korean Autonomous Vehicle Contest 2013 (4th place among 10 final teams, co-leaded Team-ADAM)
13. SL SeoBong Research Award 2008, 30 million Won (US $ 30,000)
Invited Talks
1. AI in Edge Devices, in ICONIP 2021 : The 28th International Conference on Neural Information Processing, Online, Dec. 2021.
2. Position-based Scaled Gradient for Model Quantization, in International Workshop on Highly Efficient Neural Processing
(HENP), Online, Sep. 2020.
3. Maximizing L1 norm in data analysis, in The First International Symposium on System Informatics and Engineering, Qingdao,
China, 2011.
4. L1 norm optimization in subspace learning methods, in AI-2011 Thirty-first SGAI International Conference on Artificial
Intelligence, Cambridge, UK, 2011.
Other Articles
1. 곽노준, "독불장군에게 미래는 없다", 서울대학교 대학신문, 2021년 4월 11일
2. 곽노준, "인공지능의 현황과 전망", BK21플러스 웹진 16호, 2018년 6월.
3. 곽노준, 박성헌, 김대식,“딥러닝 기술 동향: CNN과 RNN을 중심으로”, 주간기술동향, 1745호, pp. 13 – 25, 2016년 5월 11일.
4. 곽노준, "알파고 소회", Finantial IT Frontier (코스콤 사보), pp.60 - 61, 2016년 봄호.