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Fingerprint Dive into the research topics where Bumsub Ham is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 1 Similar Profiles
Semantics Engineering & Materials Science
Computer vision Engineering & Materials Science
Photography Engineering & Materials Science
Sampling Engineering & Materials Science
Textures Engineering & Materials Science
Cameras Engineering & Materials Science
Costs Engineering & Materials Science
Correspondence Mathematics

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Research Output 2009 2019

  • 653 Citations
  • 15 h-Index
  • 22 Conference contribution
  • 21 Article
  • 1 Paper

FCSS: Fully Convolutional Self-Similarity for Dense Semantic Correspondence

Kim, S., Min, D., Ham, B., Lin, S. & Sohn, K., 2019 Mar 1, In : IEEE transactions on pattern analysis and machine intelligence. 41, 3, p. 581-595 15 p., 8283767.

Research output: Contribution to journalArticle

Self-similarity
Correspondence
Semantics
Sampling
Descriptors

OCEAN: Object-centric arranging network for self-supervised visual representations learning

Oh, C., Ham, B., Kim, H., Hilton, A. & Sohn, K., 2019 Jul 1, In : Expert Systems with Applications. 125, p. 281-292 12 p.

Research output: Contribution to journalArticle

Semantics
Supervised learning
Image retrieval
Computer vision
Learning systems

Structure-Texture Image Decomposition Using Deep Variational Priors

Kim, Y., Ham, B., Do, M. N. & Sohn, K., 2019 Jun 1, In : IEEE Transactions on Image Processing. 28, 6, p. 2692-2704 13 p., 8586974.

Research output: Contribution to journalArticle

Textures
Decomposition
Convolution
Neural networks
Photography
1 Citation (Scopus)

Convolutional cost aggregation for robust stereo matching

Jeong, S., Kim, S., Ham, B. & Sohn, K., 2018 Feb 20, 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings. IEEE Computer Society, p. 2523-2527 5 p. (Proceedings - International Conference on Image Processing, ICIP; vol. 2017-September).

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

Agglomeration
Costs
Neural networks
Network architecture
Convolution
1 Citation (Scopus)

Deep stereo confidence prediction for depth estimation

Kim, S., Min, D., Ham, B., Kim, S. & Sohn, K., 2018 Feb 20, 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings. IEEE Computer Society, p. 992-996 5 p. (Proceedings - International Conference on Image Processing, ICIP; vol. 2017-September).

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

Costs
Neural networks

Press / Media

Workshop-on-human-robot-interaction

Bumsub Ham

16/6/27

1 item of media coverage

Press/Media: Press / Media