Difference between revisions of "Daesik Kim"
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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. | 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. | ||
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| + | 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 | ||
Revision as of 21:12, 31 July 2017
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Daesik Kim (김대식)
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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
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
