Research Output 1999 2017

2017

Criteria Sliders: Learning Continuous Database Criteria via Interactive Ranking

Tompkin, J., Kim, K. I., Pfister, H. & Theobalt, C. 2017 Proc. British Machine Vision Conference, 2017.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Unsupervised learning
Metadata
Labels
Geometry
Experiments

Predictor Combination at Test Time

Kim, K. I., Tompkin, J. & Richardt, C. 22 Oct 2017 Proceedings of the International Conference on Computer Vision (ICCV), 2017. IEEE, p. 3553-3561 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Learning algorithms

Real-Time online action detection forests using spatio-Temporal contexts

Baek, S., Kim, K. I. & Kim, T. K. 11 May 2017 Proceedings - 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 2017. IEEE, p. 158-167 10 p. 7926608

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Classifiers
Statistics
Neural networks
Testing
Experiments
2016

Improving style similarity metrics of 3D shapes

Dev, K., Kim, K. I., Villar, N. & Lau, M. 2016 Proc. Graphics Interface . 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations

Monitoring dementia with automatic eye movements analysis

Zhang, Y., Wilcockson, T., Kim, K. I., Crawford, T., Gellersen, H. & Sawyer, P. 2016 Proc. KES International Conference on Intelligent Decision Technologies . p. 299-309 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Eye Movements
Dementia
1 Citations

Semi-supervised learning based on joint diffusion of graph functions and Laplacians

Kim, K. I. Oct 2016 Computer Vision - ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part V . Liebe, B., Matas, J., Sebe, M. & Welling, M. (eds.). Switzerland: Springer Verlag, p. 713-729 17 p. (Lecture Notes in Computer Science; vol. 9909)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Semi-supervised learning
Graph in graph theory
2015
2 Citations

Context-guided diffusion for label propagation on graphs

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Diffusivity
Graph in graph theory
Propagation
Operator
Anisotropic diffusion
19 Citations

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. 9 Jan 2015 In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 37, 9, p. 1792-1805 14 p.

Research output: Contribution to journalArticle

Removal
Image enhancement
Image quality
Image processing
4 Citations

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. Nov 2015 In : ACM Transactions on Graphics. 34, 6, 12 p., 181

Research output: Contribution to journalArticle

Local high-order regularization on data manifolds

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Regularization
Higher order
3 Citations

Outdoor human motion capture by simultaneous optimization of pose and camera parameters

Elhayek, A., Stoll, C., Kim, K. I. & Theobalt, C. 23 Sep 2015 In : Computer Graphics Forum. 34, 6, p. 86-98 13 p.

Research output: Contribution to journalArticle

Cameras
Sensors
Studios
Mobile phones
Image quality
3 Citations

Semi-supervised learning with explicit relationship regularization

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Supervised learning
2014
8 Citations

Interactive motion mapping for real-time character control

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

Research output: Contribution to journalArticle

Animation
Pipelines
Hardware
Controllers
2013
20 Citations

Automatic noise modeling for ghost-free HDR reconstruction

Granados, M., Kim, K. I., Tompkin, J. & Theobalt, C. Nov 2013 In : ACM Transactions on Graphics. 32, 6, p. 201:1-201:10 10 p.

Research output: Contribution to journalArticle

Color
Pixels
Removal
4 Citations

Curvature-aware regularization on Riemannian submanifolds

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Geometry
Supervised learning
Object recognition
Computer vision
Pattern recognition
8 Citations

Denoising strategies for time-of-flight data

Lenzen, F., Kim, K. I., Schäfer, H., Nair, R., Meister, S., Becker, F., Garbe, C. S. & Theobalt, C. Nov 2013 Time-of-Flight and Depth Imaging : Sensors, Algorithms and Applications - Dagstuhl Seminar 2012 and GCPR Workshop on Imaging New Modalities . Grzegorzek, M., Theobalt, C., Koch, R. & Kolb, A. (eds.). Berlin, Germany: Springer Verlag, p. 25-45 21 p. (Lecture Notes in COmputer Science)

Research output: Chapter in Book/Report/Conference proceedingChapter

flight
strategy
data
time
1 Citations

Preference and artifact analysis for video transitions of places

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

Research output: Contribution to journalArticle

Experiments
Artifacts
Computer vision
Cameras
Feedback
2012
15 Citations

Background inpainting for videos with dynamic objects and a free-moving camera

Granados, M., Kim, K. I., Tompkin, J., Kautz, J. & Theobalt, C. 2012 Computer Vision – ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part I. Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y. & Schmid, C. (eds.). Berlin, Germany: Springer Verlag, p. 682-695 14 p. (Lecture Notes in Computer Science; vol. 7272)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations

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

Kwon, Y., Kim, K. I., Kim, J. H. & Theobalt, C. 2012 Proceedings of the British Machine Vision Conference, 2012 . Bowden, R., Collomosse, J. & Mikolajczyk, K. (eds.). p. 14.1-14.12 13 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

image enhancement
learning
5 Citations

Feature-based multi-video synchronization with subframe accuracy

Elhayek, A., Stoll, C., Kim, K. I., Seidel, H-P. & Theobalt, C. 2012 Proc. Annual Symposium of the German Association for Pattern Recognition (DAGM-OAGM). p. 266-275 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Synchronization
14 Citations

How not to be seen: object removal from videos of crowded scenes

Granados, M., Tompkin, J., Kim, K. I., Grau, O., Kautz, J. & Theobalt, C. May 2012 In : Computer Graphics Forum. 31, 2 Part 1, p. 219-228 10 p.

Research output: Contribution to journalArticle

Pixels
Removal
5 Citations

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. Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y. & Schmid, C. (eds.). Berlin, Germany: Springer Verlag, p. 272-285 14 p. (Lecture Notes in Computer Science; vol. 7572)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

NoRM: no-reference image quality metric for realistic image synthesis

Herzog, R., Cadik, M., Aydin, T. O., Kim, K. I., Myszkowski, K. & Seidel, H-P. May 2012 In : Computer Graphics Forum. 31, p. 545-554 10 p.

Research output: Contribution to journalArticle

Image quality
Light sources
Textures
Color
14 Citations

Spatio-temporal motion tracking with unsynchronized cameras

Elhayek, A., Stoll, C., Hasler, N., Kim, K. I., Seidel, H-P. & Theobalt, C. 2012 Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2012. IEEE, p. 1870-1877 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Cameras
24 Citations

Videoscapes: exploring sparse, unstructured video collections

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

Research output: Contribution to journalArticle

Digital cameras
Mobile devices
Gages
Data structures
2010

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 22 (NIPS), 2009. p. 979-987 9 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

345 Citations

Single-image super-resolution using sparse regression and natural image prior

Kim, K. I. & Kwon, Y. Jun 2010 In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 32, 6, p. 1127-1133 7 p.

Research output: Contribution to journalArticle

Image resolution
Testing
2008
24 Citations

Automatic 3D face reconstruction from single images or video

Breuer, P., Kim, K. I., Kienzle, W., Schölkopf, B. & Blanz, V. 2008 Proc. IEEE International Conference on Automatic Face & Gesture Recognition, 2008. IEEE, p. 1-8 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Support vector machines
Face recognition
76 Citations

Example-based learning for single image super-resolution

Kim, K. I. & Kwon, Y. 2008 Proc. Annual Symposium of the German Association for Pattern Recognition (DAGM). p. 456-465 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

example
learning

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

Kim, K. I. & Kwon, Y. 2008 Max Planck Institute for Biological Cybernetics Technical Reports. 29 p. 173

Research output: Chapter in Book/Report/Conference proceedingChapter

artifact
learning
25 Citations

Sparse multiscale Gaussian process regression

Walder, C., Kim, K. I. & Schölkopf, B. 2008 Proceedings of the.25th International Conference on Machine Learning (ICML), 2008. New York, U. S. A.: Association for Computing Machinery, p. 1112-1119 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Covariance matrix
Support vector machines
Costs

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

Kwon, Y., Kim, K. I. & Kim, J. H. 2008 KAIST Department of Computer Science Technical Reports. 15 p. CS-TR-2008-293

Research output: Chapter in Book/Report/Conference proceedingChapter

2007

Automatic 3D face reconstruction from single images or video

Breuer, P., Kim, K. I., Kienzle, W., Blanz, V. & Schölkopf, B. 2007 Max Planck Institute for Biological Cybernetics Technical Reports. 12 p. 160

Research output: Chapter in Book/Report/Conference proceedingChapter

Sparse multiscale Gaussian process regression

Walder, C., Kim, K. I. & Schölkopf, B. 2007 Max Planck Institute for Biological Cybernetics Technical Reports. 14 p. 162

Research output: Chapter in Book/Report/Conference proceedingChapter

2005

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

Kim, K. I., Jung, K. & Kim, J. H. Jun 2005 Support Vector Machines: Theory and Applications. Wang, L. (ed.). Berlin, Germany: Springer Verlag, p. 297-320 24 p. (Studies in Fuzziness and Soft Computing; vol. 177)

Research output: Chapter in Book/Report/Conference proceedingChapter

Textures
Color
Object detection
203 Citations

Iterative kernel principal component analysis for image modeling

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

Research output: Contribution to journalArticle

Principal component analysis
Iterative methods
Image processing
Experiments

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: Chapter in Book/Report/Conference proceedingConference contribution

2004

Example-based learning for image super-resolution

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kernel Hebbian algorithm for single-frame super-resolution

Kim, K. I., Franz, M. O. & Schölkopf, B. 2004 Proc. Workshop on Statistical Learning in Computer Vision (ECCV Workshop). p. 135-149 15 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

535 Citations

Text information extraction in images and video: a survey

Jung, K., Kim, K. I. & Jain, A. K. 24 Jan 2004 In : Pattern Recognition. 37, 5, p. 977-997 21 p.

Research output: Contribution to journalArticle

Automatic indexing
Face recognition
2003

Kernel Hebbian algorithm for iterative kernel principal component analysis

Kim, K. I., Franz, M. O. & Schölkopf, B. 2003 Max Planck Institute for Biological Cybernetics Technical Reports. 14 p. 109

Research output: Chapter in Book/Report/Conference proceedingChapter

Principal component analysis
273 Citations
Textures
Support vector machines
Pixels
Feature extraction
2002

Face recognition using kernel principal component analysis

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

Research output: Contribution to journalArticle

Face recognition
Principal component analysis
23 Citations

Face recognition using support vector machines with local correlation kernels

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

Research output: Contribution to journalArticle

Support vector machines
Face recognition
Feature extraction
Pixels
Polynomials
263 Citations

Support vector machines for texture classification

Kim, K. I., Jung, K., Park, S. H. & Kim, H. J. Nov 2002 In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 24, 11, p. 1542-1550 9 p.

Research output: Contribution to journalArticle

Support vector machines
Textures
Feature extraction
Pixels
Neural networks
24 Citations

Text scanner with text detection technology on image sequences

Jung, K., Kim, K. I., Kurata, T., Kourogi, M. & Han, J. 2002 Proceedings of the 16th International Conference on Pattern Recognition, 2002 : Volume 3. Washington, U. S. A.: IEEE, p. 473-476 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2001
105 Citations

Learning-based approach for license plate recognition

Kim, K. K., Kim, J. B., Kim, K. I. & Kim, H. J. 31 Jan 2001 Neural Networks for Signal Processing X, 2000: Proc. IEEE International Workshop on Neural Networks for Signal Processing, 2000. Volume 2. Widrow, B., Larsen, J., Guan, L., Wilson, E., Paliwa, K., Douglas, S. & Adali, T. (eds.). IEEE, p. 614-623 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Railroad cars
Color
Character recognition
Parking
Support vector machines

Real-time application of face pose discrimination system using support vector machines

Jung, K., Kim, K. I. & Han, J. 2001 Proc. Conference of the Korean Human Computer Interaction Society. p. 441-446 6 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Support vector machines
10 Citations

Recognition of facial images using support vector machines

Kim, K. I., Kim, J. H. & Jung, K. 2001 Proc. of the 11th IEEE Workshop on Statistical Signal Processing, 2001. IEEE, p. 468-471 4 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Support vector machines
2000
4 Citations

A video indexing system using character recognition

Kim, E. Y., Kim, K. I., Jung, K. & Kim, H. J. 2000 Proc. IEEE International Conference on Consumer Electronics, 2000. IEEE, p. 358-359 2 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Character recognition
Automatic indexing
Textures
Neural networks