32 citations · 55 across the 8 of their papers we have counts for
9 papers
SeaThru-NeRF: Neural Radiance Fields in Scattering Media
Deborah Levy, Amit Peleg, Naama Pearl +4
Research on neural radiance fields (NeRFs) for novel view generation is exploding with new models and extensions. However, a question that remains unanswered is what happens in und…
NAN: Noise-Aware NeRFs for Burst-Denoising
Naama Pearl, Tali Treibitz, Simon Korman
Burst denoising is now more relevant than ever, as computational photography helps overcome sensitivity issues inherent in mobile phones and small cameras. A major challenge in bur…
The Self-Optimal-Transport Feature Transform
Daniel Shalam, Simon Korman
The Self-Optimal-Transport (SOT) feature transform is designed to upgrade the set of features of a data instance to facilitate downstream matching or grouping related tasks. The tr…
Generative Adversarial Networks via a Composite Annealing of Noise and Diffusion
Kensuke Nakamura, Simon Korman, Byung-Woo Hong
Generative adversarial network (GAN) is a framework for generating fake data using a set of real examples. However, GAN is unstable in the training stage. In order to stabilize GAN…
OATM: Occlusion Aware Template Matching by Consensus Set Maximization
Simon Korman, Mark Milam, Stefano Soatto
We present a novel approach to template matching that is efficient, can handle partial occlusions, and comes with provable performance guarantees. A key component of the method is…
Latent RANSAC
Simon Korman, Roee Litman
We present a method that can evaluate a RANSAC hypothesis in constant time, i.e. independent of the size of the data. A key observation here is that correct hypotheses are tightly…
Deleting and Testing Forbidden Patterns in Multi-Dimensional Arrays
Omri Ben-Eliezer, Simon Korman, Daniel Reichman
Understanding the local behaviour of structured multi-dimensional data is a fundamental problem in various areas of computer science. As the amount of data is often huge, it is des…
Probably Approximately Symmetric: Fast rigid Symmetry Detection with Global Guarantees
Simon Korman, Roee Litman, Shai Avidan +1
We present a fast algorithm for global rigid symmetry detection with approximation guarantees. The algorithm is guaranteed to find the best approximate symmetry of a given shape, t…
Tight Approximation of Image Matching
Simon Korman, Daniel Reichman, Gilad Tsur
In this work we consider the {\em image matching} problem for two grayscale images, and (where pixel values range from 0 to 1). Our goal is to find an affi…