Items where Author is "Kim, Jin H."

Kwon, Younghee and Kim, Kwang In and Tompkin, James and Kim, Jin H. and Theobalt, Christian (2015) Efficient learning of image super-resolution and compression artifact removal with semi-local Gaussian processes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37 (9). pp. 1792-1805. ISSN 0162-8828

Kwon, Younghee and Kim, Kwang In and Kim, Jin H. and Theobalt, Christian (2012) Efficient learning-based image enhancement : application to super-resolution and compression artifact removal. In: Proc. British Machine Vision Conference (BMVC) 2012 :. UNSPECIFIED, 14.1-14.12.

Kwon, Younghee and Kim, Kwang In and Kim, Jin H. (2008) Suppressing artifacts in block DCT coded images based on re-encoding, regression, and image prior. Working Paper. KAIST Department of Computer Science.

Kim, Kwang In and Jung, Keechul and Kim, Jin H. (2005) Fast color texture-based object detection in images : application to license plate localization. In: Support vector machines : theory and applications. Studies in Fuzziness and Soft Computing . Springer Verlag, pp. 297-320. ISBN 9783540243885

Kim, Kwang In and Kim, Dongho and Kim, Jin H. (2004) Example-based learning for image super-resolution. In: Proc. the third Tsinghua-KAIST Joint Workshop on Pattern Recognition :. UNSPECIFIED, pp. 140-148.

Kim, Kwang In and Jung, Keechul and Kim, Jin H. (2003) Texture-based approach for text detection in images using support vector machines and continuously adaptive mean shift algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence, 25 (12). pp. 1631-1639. ISSN 0162-8828

Kim, Kwang In and Jung, Keechul and Kim, Jin H. (2002) Face recognition using support vector machines with local correlation kernels. International Journal of Pattern Recognition and Artificial Intelligence, 16 (1). pp. 97-111. ISSN 1793-6381

Kim, Kwang In and Kim, Jin H. and Jung, Keechul (2001) Recognition of facial images using support vector machines. In: Proc. IEEE Workshop on Statistical Signal Processing :. UNSPECIFIED, pp. 468-471.