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פרסומים

  • Unsupervised Representation Learning by Balanced Self Attention Matching, Shalam, D. & Korman, S., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 269-285 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; vol. 15142 LNCS).
  • Regularization for Unconditional Image Diffusion Models via Shifted Data Augmentation, Nakamura, K., Sohn, B. S., Korman, S. & Hong, B. W., 2025, In: IEEE Access. 13, p. 113258-113273 16 p.
  • Generative adversarial networks via a composite annealing of noise and diffusion, Nakamura, K., Korman, S. & Hong, B. W., Feb 2024, In: Pattern Recognition. 146, 110034.
  • The Balanced-Pairwise-Affinities Feature Transform, Shalam, D. & Korman, S., 2024, In: Proceedings of Machine Learning Research. 235, p. 44342-44357 16 p.
  • SeaThru-NeRF: Neural Radiance Fields in Scattering Media, Levy, D., Peleg, A., Pearl, N., Rosenbaum, D., Akkaynak, D., Korman, S. & Treibitz, T., 2023, Proceedings - 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2023. IEEE Computer Society, p. 56-65 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2023-June).
  • MFSC: Matching by Few-Shot Classification, Shalam, D., Abboud, E., Litman, R. & Korman, S., 2023.
  • NAN: Noise-Aware NeRFs for Burst-Denoising, Pearl, N., Treibitz, T. & Korman, S., 2022, Proceedings - 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. IEEE Computer Society, p. 12662-12671 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2022-June).
  • OATM: Occlusion Aware Template Matching by Consensus Set Maximization, Korman, S., Soatto, S. & Milam, M., 14 Dec 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 2675-2683 9 p. 8578381. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).
  • Latent RANSAC, Korman, S. & Litman, R., 14 Dec 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 6693-6702 10 p. 8578798. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).
  • Deleting and testing forbidden patterns in multi-dimensional arrays, Ben-Eliezer, O., Korman, S. & Reichman, D., 1 Jul 2017, 44th International Colloquium on Automata, Languages, and Programming, ICALP 2017. Muscholl, A., Indyk, P., Kuhn, F. & Chatzigiannakis, I. (eds.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 9. (Leibniz International Proceedings in Informatics, LIPIcs; vol. 80).
  • Fast-Match: Fast Affine Template Matching, Korman, S., Reichman, D., Tsur, G. & Avidan, S., 1 Jan 2017, In: International Journal of Computer Vision. 121, 1, p. 111-125 15 p.
  • Coherency Sensitive Hashing, Korman, S. & Avidan, S., 1 Jun 2016, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 38, 6, p. 1099-1112 14 p., 7254191.
  • Inverting RANSAC: Global model detection via inlier rate estimation, Litman, R., Korman, S., Bronstein, A. & Avidan, S., 14 Oct 2015, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015. IEEE Computer Society, p. 5243-5251 9 p. 7299161. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 07-12-June-2015).
  • Peeking template matching for depth extension, Korman, S., Ofek, E. & Avidan, S., 17 Feb 2015, 2015 International Conference on Computer Vision, ICCV 2015. Institute of Electrical and Electronics Engineers Inc., p. 2174-2182 9 p. 7410608. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2015 International Conference on Computer Vision, ICCV 2015).
  • Probably approximately symmetric: Fast rigid symmetry detection with global guarantees, Korman, S., Litman, R., Avidan, S. & Bronstein, A., 1 Feb 2015, In: Computer Graphics Forum. 34, 1, p. 2-13 12 p.
  • DCSH-Matching patches in RGBD images, Eshet, Y., Korman, S., Ofek, E. & Avidan, S., 2013, Proceedings - 2013 IEEE International Conference on Computer Vision, ICCV 2013. Institute of Electrical and Electronics Engineers Inc., p. 89-96 8 p. 6751120. (Proceedings of the IEEE International Conference on Computer Vision).
  • FasT-match: Fast affine template matching, Korman, S., Reichman, D., Tsur, G. & Avidan, S., 2013, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). p. 2331-2338 8 p.
  • Coherency sensitive hashing, Korman, S. & Avidan, S., 2011, 2011 International Conference on Computer Vision, ICCV 2011. p. 1607-1614 8 p. 6126421. (Proceedings of the IEEE International Conference on Computer Vision).

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