• 1314 Citations
  • 16 h-Index
20012019
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Fingerprint Dive into the research topics where Seon Joo Kim is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 7 Similar Profiles
Cameras Engineering & Materials Science
Color Engineering & Materials Science
Imaging techniques Engineering & Materials Science
Binary sequences Engineering & Materials Science
Computer vision Engineering & Materials Science
Calibration Engineering & Materials Science
Information theory Engineering & Materials Science
Camera Mathematics

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Research Output 2001 2019

  • 1314 Citations
  • 16 h-Index
  • 19 Conference contribution
  • 12 Article
  • 2 Conference article
  • 1 Paper

Probabilistic moving least squares with spatial constraints for nonlinear color transfer between images

Hwang, Y., Lee, J. Y., Kweon, I. S. & Kim, S. J., 2019 Mar 1, In : Computer Vision and Image Understanding. 180, p. 1-12 12 p.

Research output: Contribution to journalArticle

Color
Cameras
Lighting
Interpolation
4 Citations (Scopus)

EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Images

Shin, C., Jeon, H. G., Yoon, Y., Kweon, I. S. & Kim, S. J., 2018 Dec 14, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 4748-4757 10 p. 8578597. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

Neural networks
Geometry
Cameras
Human computer interaction
Lighting

Teaching machines to understand baseball games: Large-scale baseball video database for multiple video understanding tasks

Shim, M., Kim, Y. H., Kim, K. & Kim, S. J., 2018 Jan 1, Computer Vision – ECCV 2018 - 15th European Conference, 2018, Proceedings. Weiss, Y., Ferrari, V., Sminchisescu, C. & Hebert, M. (eds.). Springer Verlag, p. 420-437 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11219 LNCS).

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

Computer aided instruction
Video Databases
Labels
Game
Video Games

Text-adaptive generative adversarial networks: Manipulating images with natural language

Nam, S., Kim, Y. & Kim, S. J., 2018 Jan 1, In : Advances in Neural Information Processing Systems. 2018-December, p. 42-51 10 p.

Research output: Contribution to journalConference article

Discriminators
25 Citations (Scopus)

Approaching the computational color constancy as a classification problem through deep learning

Oh, S. W. & Kim, S. J., 2017 Jan 1, In : Pattern Recognition. 61, p. 405-416 12 p.

Research output: Contribution to journalArticle

Lighting
Color
Deep learning
Casting
Neural networks