Daesik Kim

Daesik Kim (김대식) 서울대학교 융합과학부 석박사통합과정 (2014.09 ~ ) 포항공과대학교 산업경영공학과 졸업 (2007.08) Tel: +82-31-888-9579 e-mail: daesik.kim@snu.ac.kr

Research Interests

Machine Learning, Generative Deep Learning Model, Multi-modal Deep Learning

Education

B.Sc. Industrial Engineering and Management, Pohang University of Science and Technology, 2007

Employment

System developer, Programmer(Powerbuilder, Oracle), Mega IT. 2002-2005

Assistant Manager ,Tresury department, Kookmin bank, 2007-2014

• Founder & CTO in V.DO, 2017~

Publication

Seo, J., Kim, D., Suh, B., & Lee, J. (2015, April). Design of a Smart TV Logging System Using Beacons and Smartphones. In Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems (pp. 2157-2162). ACM.

멀티모달 딥러닝을 이용한 음악 장르 분류. HCI KOREA 2016

Daesik Kim, Myunggi Lee and Nojun Kwak, "Matching Video Net: Memory-based embedding for video action recognition", International Joint Conference on Neural Networks 2017 (IJCNN2017), Anchorage, AK, May 2017.

Sangkuk Lee, Daesik Kim, Myunggi Lee, Jihye Hwang and Nojun Kwak, "Where to Play: Retrieval of video segments using natural-language queries", arXiv, July 2017

Competition

4th place of "Textbook Question Answering Challenge", CVPR 2017 Workshop on Visual Understanding Across Modalities

Teaching

Tensorflow tutorial at OSIA(Aug. 2016)

Tensorflow tutorial at CONTECH (Apr. 2017)