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AI研究方向及摘要:
主要研究方向是將機器學習應用於多媒體內容分析 (影像分類、群聚、編輯及摘要,社群媒體分析及智慧型廣告)及電腦視覺(人臉分析及辨識、場景分析及認知)。
AI相關發表論文 (詳見 http://www.ee.nthu.edu.tw/cwlin/pub.htm):
C.-C. Hsu and C.W. Lin, “CNN-based joint clustering and representation learning with feature drift compensation for large-scale image data,” IEEE Trans. Multimedia (Special Issue on Large-Scale Multimedia Data Retrieval, Classification, and Understanding), 2018.
W.-T. Su, G. Cheung, and C.-W. Lin, “Robust graph-based image classifier with negative edge weights,” in Proc. IEEE Int. Conf. Multimedia & Expo., July 2017, Hong Kong, China.
L.-W. Kang, C.-C. Hsu, B. Zhuang, C.-W. Lin, and C.-H. Yeh, “Learning-based joint super-resolution and deblocking for a highly compressed image,” IEEE Trans. Multimedia, vol. 17, no. 7, pp. 921−934, July 2015.
C.-C. Hsu, L.-W. Kang, and C.-W. Lin, “Temporally coherent super-resolution of textured video via dynamic texture synthesis,” IEEE Trans. Image Processing, vol. 24, no. 3, pp. 919−931, Mar. 2015.