• 167 Citations
  • 6 h-Index
20042019

Research output per year

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Research Output

  • 167 Citations
  • 6 h-Index
  • 16 Conference contribution
  • 14 Article
  • 2 Paper
  • 2 Editorial

A performance comparison of convolutional neural network-based image denoising methods: The effect of loss functions on low-dose CT images

Kim, B., Han, M., Shim, H. & Baek, J., 2019 Sep 1, In : Medical physics. 46, 9, p. 3906-3923 18 p.

Research output: Contribution to journalArticle

  • Depth Reconstruction of Translucent Objects from a Single Time-of-Flight Camera Using Deep Residual Networks

    Song, S. & Shim, H., 2019 Jan 1, Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Revised Selected Papers. Li, H., Schindler, K., Jawahar, C. V. & Mori, G. (eds.). Springer Verlag, p. 641-657 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11365 LNCS).

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

  • Dual neural personalized ranking

    Kim, S., Lee, J. & Shim, H., 2019 May 13, The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019. Association for Computing Machinery, Inc, p. 863-873 11 p. (The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019).

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

  • 1 Citation (Scopus)

    Editable Generative Adversarial Networks: Generating and Editing Faces Simultaneously

    Baek, K., Bang, D. & Shim, H., 2019 Jan 1, Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Revised Selected Papers. Li, H., Jawahar, C. V., Mori, G. & Schindler, K. (eds.). Springer Verlag, p. 39-55 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11361 LNCS).

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

  • Resembled generative adversarial networks: Two domains with similar attributes

    Bang, D. & Shim, H., 2019 Jan 1.

    Research output: Contribution to conferencePaper