Office: R636, Delta Building Tel: 03-5742958 E-mail: lai@cs.nthu.edu.tw Website: http://www.cs.nthu.edu.tw/~lai Professor, Department of Computer Science

AI Research and Outline:

The main research direction is to apply deep learning method to a variety of computer vision problems, including biometrics, object detection and tracking, motion recognition, 3D scene reconstruction, and image classification.

AI Research Papers (Please see http://www.cs.nthu.edu.tw/~lai):

• C.-W. Tseng, H. J. Lin, S.-H. Lai, “General Deep Image Completion with Lightweight Conditional Generative Adversarial Networks”, British Machine Vision Conference (BMVC), London, Sep. 2017.

• T.-F. Su, C.-K. Chiang, and S.-H. Lai, “A multi-attribute sparse coding approach for action recognition from a single unknown viewpoint”, IEEE Transactions on Circuits and Systems for Video Technology, 26(8), 1476-1489, Aug. 2016.

• H.-A. Hsu, C.-K. Chiang, and S.-H. Lai, “Spatio-temporally consistent view synthesis from video-plus-depth data with global optimization”, IEEE Trans. Circuit and System for Video Technology, Vol.24, No. 1, pp. 74-84, Jan. 2014.

• C.-K. Chiang, C.-H. Liu, C.-H. Duan, and S.-H. Lai, “Learning component-level sparse representation for image and video categorization”, IEEE Trans. on Image Processing, Vol. 22, No. 12, pp. 4775-4787, Dec. 2013.