Fingerprint

Dive into the research topics where Ido Cohen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • BASiS: Batch Aligned Spectral Embedding Space

    Streicher, O., Cohen, I. & Gilboa, G., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society, p. 10396-10405 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2023-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
  • Modes of homogeneous gradient flows

    Cohen, I., Azencot, O., Lifshits, P. & Gilboa, G., 2021, In: SIAM Journal on Imaging Sciences. 14, 3, p. 913-945 33 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    2 Scopus citations
  • Total-Variation Mode Decomposition

    Cohen, I., Berkov, T. & Gilboa, G., 2021, Scale Space and Variational Methods in Computer Vision - 8th International Conference, SSVM 2021, Proceedings. Elmoataz, A., Fadili, J., Quéau, Y., Rabin, J. & Simon, L. (eds.). Springer Science and Business Media Deutschland GmbH, p. 52-64 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12679 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    1 Scopus citations
  • Introducing the p-Laplacian spectra

    Cohen, I. & Gilboa, G., Feb 2020, In: Signal Processing. 167, 107281.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    8 Scopus citations
  • Stable Explicit p-Laplacian Flows Based on Nonlinear Eigenvalue Analysis

    Cohen, I., Falik, A. & Gilboa, G., 2019, Scale Space and Variational Methods in Computer Vision - 7th International Conference, SSVM 2019, Proceedings. Lellmann, J., Modersitzki, J. & Burger, M. (eds.). p. 315-327 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11603 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    5 Scopus citations