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Dive into the research topics where Sagie Benaim 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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Designing a Conditional Prior Distribution for Flow-Based Generative Models
Issachar, N., Salama, M., Fattal, R. & Benaim, S., 2025, In: Transactions on Machine Learning Research. December-2025Research output: Contribution to journal › Article › peer-review
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DGD: Dynamic 3D Gaussians Distillation
Labe, I., Issachar, N., Lang, I. & Benaim, 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. 361-378 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15126 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
4 Scopus citations -
Through-The-Mask: Mask-based Motion Trajectories for Image-to-Video Generation
Yariv, G., Kirstain, Y., Zohar, A., Sheynin, S., Taigman, Y., Adi, Y., Benaim, S. & Polyak, A., 2025, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 18198-18208 11 p.Research output: Contribution to journal › Conference article › peer-review
1 Scopus citations -
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
Christensen, P. E., Snabjarnarson, V., Dittadi, A., Belongie, S. & Benaim, S., 3 Jan 2024, Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024. Institute of Electrical and Electronics Engineers Inc., p. 2940-2949 10 p. (Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Coarse-To-Fine Tensor Trains for Compact Visual Representations
Loeschcke, S., Wang, D., Leth-Espensen, C., Belongie, S., Kastoryano, M. J. & Benaim, S., 2024, In: Proceedings of Machine Learning Research. 235, p. 32612-32642 31 p.Research output: Contribution to journal › Conference article › peer-review