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Dr Kwang In Kim

Formerly at Lancaster University

  1. Published

    Texture-based approach for text detection in images using support vector machines and continuously adaptive mean shift algorithm

    Kim, K. I., Jung, K. & Kim, J. H., 2003, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 25, 12, p. 1631-1639 9 p.

    Research output: Contribution to journalJournal article

  2. Published

    Kernel Hebbian algorithm for single-frame super-resolution

    Kim, K. I., Franz, M. O. & Schölkopf, B., 2004, Statistical Learning in Computer Vision, ECCV 2004 Workshop, Prague, Czech Republic, May 2004. Leonardis, A. & Bischof, H. (eds.). Tubingen, Germany: Max Planck Institute fur biologische Kybernetik, p. 135-149 15 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  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/ISSNConference contribution/Paper

  4. 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/ISSNChapter

  5. Published

    Learning to remove JPEG artifacts

    Kim, K. I., Kwon, Y., Kim, D. & Kim, J-H., 2005, Proc. Korea Information Science Society Conference. p. 778-780 3 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  6. Published

    Iterative kernel principal component analysis for image modeling

    Kim, K. I., Franz, M. O. & Schölkopf, B., 2005, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 27, 9, p. 1351-1366 16 p.

    Research output: Contribution to journalJournal article

  7. 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/ISSNConference contribution/Paper

  8. 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

  9. Published

    Semi-supervised regression using Hessian energy with an application to semi-supervised dimensionality reduction

    Kim, K. I., Steinke, F. & Hein, M., 2010, Advances in Neural Information Processing Systems (NIPS). Germany: MPI for Biological Cybernetics, p. 979-987 9 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  10. Published

    Match graph construction for large image databases

    Kim, K. I., Tompkin, J., Theobald, M., Kautz, J. & Theobalt, C., 2012, Computer Vision – ECCV 2012 : 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part I. Springer, p. 272-285 14 p. (Lecture Notes in Computer Science; vol. 7572).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  11. Published

    Curvature-aware regularization on Riemannian submanifolds

    Kim, K. I., Tompkin, J. & Theobalt, C., 2013, Proc. International Conference on Computer Vision (ICCV) 2013. p. 881-888 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

  12. Published

    Local high-order regularization on data manifolds

    Kim, K. I., Tompkin, J., Pfister, H. & Theobalt, C., 8/06/2015, Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on . IEEE, p. 5473-5481 9 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  13. Published

    Semi-supervised learning with explicit relationship regularization

    Kim, K. I., Tompkin, J., Pfister, H. & Theobalt, C., 8/06/2015, Computer Vision and Pattern Recognition (CVPR), 2015 IEEE Conference on . IEEE, p. 2188-2196 9 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  14. Published

    Context-guided diffusion for label propagation on graphs

    Kim, K. I., Tompkin, J., Pfister, H. & Theobalt, C., 7/12/2015, 2015 IEEE International Conference on Computer Vision (ICCV). IEEE, p. 2776-2784 9 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

  15. Published

    Suppressing artifacts in block DCT coded images based on re-encoding, regression, and image prior

    Kwon, Y., Kim, K. I. & Kim, J. H., 1/10/2008, KAIST Department of Computer Science, p. 1-14, 15 p.

    Research output: Working paper

  16. 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/ISSNConference contribution/Paper

  17. 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 journalJournal article

  18. Published

    Denoising strategies for time-of-flight data

    Lenzen, F., Kim, K. I., Nair, R., Meister, S., Schäfer, H., Becker, F., Garbe, C. & Theobalt, C., 2013, Time-of-flight imaging : algorithms, sensors and applications. Grzegorzek, M., Theobalt, C., Koch, R. & Kolb, A. (eds.). Springer, Vol. 8200 . p. 25-45 21 p. (Lecture Notes in Computer Science).

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNOther chapter contribution

  19. Published

    Locating car license plates using neural networks

    Park, S. H., Kim, K. I., Jung, K. & Kim, H. J., 1999, In : Electronics Letters. 35, 17, p. 1475-1477 3 p.

    Research output: Contribution to journalJournal article

  20. Published

    Interactive motion mapping for real-time character control

    Rhodin, H., Tompkin, J., Kim, K. I., Varanasi, K., Seidel, H-P. & Theobalt, C., 2014, In : Computer Graphics Forum. 33, 2, p. 273-282 10 p.

    Research output: Contribution to journalJournal article

  21. 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 journalJournal article

  22. Published

    Videoscapes: exploring sparse, unstructured video collections

    Tompkin, J., Kim, K. I., Kautz, J. & Theobalt, C., 1/07/2012, In : ACM Transactions on Graphics. 31, 4, p. 68:1-68:12

    Research output: Contribution to journalJournal article

  23. Published

    Preference and artifact analysis for video transitions of places

    Tompkin, J., Kim, M. H., Kim, K. I., Kautz, J. & Theobalt, C., 2013, In : ACM Transactions on Applied Perception. 10, 3, p. 13:1-19

    Research output: Contribution to journalJournal article

  24. Published

    Sparse multiscale Gaussian process regression

    Walder, C., Kim, K. I. & Schölkopf, B., 1/08/2007, Max Planck Institute for Biological Cybernetics.

    Research output: Working paper

  25. Published

    Sparse multiscale Gaussian process regression

    Walder, C., Kim, K. I. & Schölkopf, B., 2008, Proc. International Conference on Machine Learning (ICML) 2008. Tuebingen, Germany: Max Planck Institute for Biological Cybernetics, p. 1112-1119 8 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

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