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Dive into the research topics where Dan Rosenbaum is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Osmosis: RGBD Diffusion Prior for Underwater Image Restoration
Nathan, O. B., Levy, D., Treibitz, T. & Rosenbaum, D., 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. 302-319 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15120 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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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).University of Haifa, The Hebrew University of Jerusalem
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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From data to functa: Your data point is a function and you can treat it like one
Dupont, E., Kim, H., Eslami, S. M. A., Rezende, D. & Rosenbaum, D., 2022, In: Proceedings of Machine Learning Research. 162, p. 5694-5725 32 p.Research output: Contribution to journal › Conference article › peer-review
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A Neural Network Auction for Group Decision Making over a Continuous Space
Bachrach, Y., Gemp, I., Garnelo, M., Kramar, J., Eccles, T., Rosenbaum, D. & Graepel, T., 2021, Proceedings of the 30th International Joint Conference on Artificial Intelligence, IJCAI 2021. Zhou, Z.-H. (ed.). International Joint Conferences on Artificial Intelligence, p. 4976-4979 4 p. (IJCAI International Joint Conference on Artificial Intelligence).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs
Rosenbaum, D., Garnelo, M., Zielinski, M., Beattie, C., Clancy, E., Huber, A., Kohli, P., Senior, A. W., Jumper, J., Doersch, C., Eslami, S. M. A., Ronneberger, O. & Adler, J., 26 Jun 2021, Machine Learning is Structural Biology workshop, Neural Information Processing Systems (NeurIPS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review