Research output per year
Research output per year
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Dive into the research topics where Michael Elad is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
Elata, N., Michaeli, T. & Elad, M., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). p. 290-308 19 p. (Lecture Notes in Computer Science; vol. 15136 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Anchored Diffusion for Video Face Reenactment
Kligvasser, I., Cohen, R., Leifman, G., Rivlin, E. & Elad, M., 2025, Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025. p. 4087-4097 11 p. (Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Class-Conditioned Transformation for Enhanced Robust Image Classification
Blau, T., Ganz, R., Baskin, C., Elad, M. & Bronstein, A. M., 2025, Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025. p. 6538-6547 10 p. (Proceedings - 2025 IEEE Winter Conference on Applications of Computer Vision, WACV 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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POSTERIOR-MEAN RECTIFIED FLOW: TOWARDS MINIMUM MSE PHOTO-REALISTIC IMAGE RESTORATION
Ohayon, G., Michaeli, T. & Elad, M., 2025, 13th International Conference on Learning Representations, ICLR 2025. p. 42473-42512 40 p. (13th International Conference on Learning Representations, ICLR 2025).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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PSC: Posterior Sampling-Based Compression
Elata, N., Michaeli, T. & Elad, M., 2025, In: Transactions on Machine Learning Research. 2025-SeptemberResearch output: Contribution to journal › Article › peer-review