Personal profile
Research interests
- Computer vision
- Machine learning
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Collaborations and top research areas from the last five years
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Clustering via Self-Supervised Diffusion
Uziel, R., Chelly, I., Freifeld, O. & Pakman, A., 1 Jan 2025, In: Proceedings of Machine Learning Research. 267, p. 60711-60726 16 p.Research output: Contribution to journal › Conference article › peer-review
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Consistent Amortized Clustering via Generative Flow Networks
Chelly, I., Uziel, R., Freifeld, O. & Pakman, A., 1 Jan 2025, In: Proceedings of Machine Learning Research. 258, p. 1729-1737 9 p.Research output: Contribution to journal › Conference article › peer-review
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Diffeomorphic Temporal Alignment Nets for Time-series Joint Alignment and Averaging
Weber, R. S. & Freifeld, O., 10 Feb 2025, arXiv, 16 p.Research output: Working paper/Preprint › Preprint
2 Downloads (Pure) -
FastJAM: a Fast Joint Alignment Model for Images
Hirsch, O., Weber, R. S., Ifergane, S. & Freifeld, O., 29 Oct 2025, arXiv, 30 p.Research output: Working paper/Preprint › Preprint
Open Access -
Improving the Effective Receptive Field of Message-Passing Neural Networks
Finder, S. E., Weber, R. S., Eliasof, M., Freifeld, O. & Treister, E., 1 Jan 2025, In: Proceedings of Machine Learning Research. 267, p. 17203-17220 18 p.Research output: Contribution to journal › Conference article › peer-review
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SpaceJAM: a Lightweight and Regularization-Free Method for Fast Joint Alignment of Images
Barel, N., Weber, R. S., Mualem, N., Finder, S. E. & Freifeld, O., 1 Jan 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. 180-197 18 p. (Lecture Notes in Computer Science; vol. 15071 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Synchronization of Multiple Videos
Naaman, A., Weber, R. S. & Freifeld, O., 15 Oct 2025, arXiv, 18 p.Research output: Working paper/Preprint › Preprint
2 Downloads (Pure) -
TimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning
Weber, R. S., Ishay, S. B., Lavrinenko, A., Finder, S. E. & Freifeld, O., 1 Jan 2025, In: Proceedings of Machine Learning Research. 267, p. 54275-54299 25 p.Research output: Contribution to journal › Conference article › peer-review
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Trainable Highly-Expressive Activation Functions
Chelly, I., Finder, S. E., Ifergane, S. & Freifeld, O., 1 Jan 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. 200-217 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; vol. 15118 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
4 Scopus citations -
Wavelet Convolutions for Large Receptive Fields
Finder, S. E., Amoyal, R., Treister, E. & Freifeld, O., 1 Jan 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. 363-380 18 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) ; vol. 15112 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
494 Scopus citations
Projects
- 1 Finished
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Scalable Bayesian Nonparametric Mixtures for Computer Vision and Deep Learning
Freifeld, O. (PI)
1/01/21 → 31/12/24
Project: Research