I am a faculty member of the Department of Computer Science at the University of Haifa. My research is in the fields of computer vision and machine learning.
Previously, I was a postdoc at the Weizmann Institute, supervised by Ronen Basri and a postdoc at UCLA supervised by Stefano Soatto.
I completed my PhD working with Shai Avidan at Tel-Aviv University, my MSc with Uriel Feige at the Weizmann Institute and I hold a BSc in mathematics and computer science from the Hebrew University.
I have several masters, phd and post-doc openings. Please reach out if relevant ;-).
I am interested in wide range of core computer-vision related tasks. My focus is on settings that are challenging in terms of: (i) data scarcity (e.g. few-shot learning) (ii) stability and efficiency in training (e.g. GAN, diffusion models, NeRFs, contrastive learning) (iii) real-world artifacts/conditions (e.g. noise, blur, occlusion, attenuation, deformation, outliers) (iv) large search-spaces (e.g. matching, retrieval).
Current projects:
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Unsupervised Representation Learning by Balanced Self Attention Matching |
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The Balanced-Pairwise-Affinities Feature Transform |
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Generative Adversarial Networks via a Composite Annealing of Noise and Diffusion |
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MFSC: Matching by Few-Shot Classification |
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SeaThru-NeRF: Neural Radiance Fields in Scattering Media |
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NAN: Noise-Aware NeRFs for Burst-Denoising |
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Stabilization of Generative Adversarial Networks via Noisy Scale-Space |
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OATM: Occlusion Aware Template Matching by Consensus Set Maximization |
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Latent RANSAC
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Deleting and Testing Forbidden Patterns in Multi-Dimensional Arrays
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Fast-Match: Fast Affine Template Matching (journal version)
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Coherency Sensitive Hashing (journal version)
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Peeking Template Matching for Depth Extension
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Inverting RANSAC: Global Model Detection via Inlier Rate Estimation
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Probably Approximately Symmetric: Fast Rigid Symmetry Detection with Global Guarantees
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DCSH - Matching Patches in RGBD Images
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Fast-Match: Fast Affine Template Matching
[pptx]
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Tight Approximation of Image Matching
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Coherency Sensitive Hashing
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On the Use of Randomness in the Online Set Cover Problem |