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Research

Dr Kwang In Kim

Formerly at Lancaster University

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  1. Published

    Efficient learning of image super-resolution and compression artifact removal with semi-local Gaussian processes

    Kwon, Y., Kim, K. I., Tompkin, J., Kim, J. H. & Theobalt, C., 1/09/2015, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 37, 9, p. 1792-1805 14 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  2. Published

    Efficient learning-based image enhancement: application to super-resolution and compression artifact removal

    Kwon, Y., Kim, K. I., Kim, J. H. & Theobalt, C., 2012, Proc. British Machine Vision Conference (BMVC) 2012. p. 14.1-14.12 13 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  3. Published

    Example-based learning for image super-resolution

    Kim, K. I., Kim, D. & Kim, J. H., 2004, Proc. the third Tsinghua-KAIST Joint Workshop on Pattern Recognition. p. 140-148 9 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  4. Published

    Example-based learning for single image super-resolution

    Kim, K. I. & Kwon, Y., 2008, Pattern Recognition: 30th DAGM Symposium, Munich, Germany, June 10-13, 2008, Proceedings. Rigoll, G. (ed.). Munich, Germany: Springer, p. 456-465 10 p. (Lecture Notes in Computer Science; vol. 5096).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  5. Published

    Example-based learning for single-image super-resolution and JPEG artifact removal

    Kim, K. I. & Kwon, Y., 1/08/2008, Max Planck Institute for Biological Cybernetics, p. 1-28, 29 p. (Technical Report; no. TR-173).

    Research output: Working paper

  6. Published

    Face recognition using kernel principal component analysis

    Kim, K. I., Jung, K. & Kim, H. J., 2002, In: IEEE Signal Processing Letters. 9, 2, p. 40-42 3 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  7. Published

    Face recognition using support vector machines with local correlation kernels

    Kim, K. I., Jung, K. & Kim, J. H., 2002, In: International Journal of Pattern Recognition and Artificial Intelligence. 16, 1, p. 97-111 15 p.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

  8. Published

    Fast color texture-based object detection in images: application to license plate localization

    Kim, K. I., Jung, K. & Kim, J. H., 2005, Support vector machines: theory and applications. Wang, L. (ed.). Springer Verlag, p. 297-320 24 p. (Studies in Fuzziness and Soft Computing).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter

  9. Published

    Feature-based multi-video synchronization with subframe accuracy

    Elhayek, A., Stoll, C., Kim, K. I., Seidel, H-P. & Theobalt, C., 2012, Pattern recognition: Joint 34th DAGM and 36th OAGM Symposium, Graz, Austria, August 28-31, 2012. Proceedings. Pinz, A., Pock, T., Bischof, H. & Liberl, F. (eds.). Berlin: Springer Verlag, p. 266-275 10 p. (Lecture Notes in Computer Science; vol. 7476).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

  10. Published

    Generalizing wave gestures from sparse examples for real-time character control

    Rhodin, H., Tompkin, J., Kim, K. I., de Aguiar, E., Pfister, H., Seidel, H-P. & Theobalt, C., 11/2015, In: ACM Transactions on Graphics (Proc. SIGGRAPH Asia). 34, 6, 181.

    Research output: Contribution to Journal/Magazine › Journal article › peer-review

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