235 citations · 617 across the 46 of their papers we have counts for
15 papers · 1 filter
Video Reconstruction from a Single Motion Blurred Image using Learned Dynamic Phase Coding
Erez Yosef, Shay Elmalem, Raja Giryes
Video reconstruction from a single motion-blurred image is a challenging problem, which can enhance the capabilities of existing cameras. Recently, several works addressed this tas…
DeepBBS: Deep Best Buddies for Point Cloud Registration
Itan Hezroni, Amnon Drory, Raja Giryes +1
Recently, several deep learning approaches have been proposed for point cloud registration. These methods train a network to generate a representation that helps finding matching p…
Mesh Draping: Parametrization-Free Neural Mesh Transfer
Amir Hertz, Or Perel, Raja Giryes +2
Despite recent advances in geometric modeling, 3D mesh modeling still involves a considerable amount of manual labor by experts. In this paper, we introduce Mesh Draping: a neural…
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest
Gilad Cohen, Raja Giryes
Although Deep Neural Networks (DNNs) achieve excellent performance on many real-world tasks, they are highly vulnerable to adversarial attacks. A leading defense against such attac…
MISS GAN: A Multi-IlluStrator Style Generative Adversarial Network for image to illustration translation
Noa Barzilay, Tal Berkovitz Shalev, Raja Giryes
Unsupervised style transfer that supports diverse input styles using only one trained generator is a challenging and interesting task in computer vision. This paper proposes a Mult…
SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization
Amir Hertz, Or Perel, Raja Giryes +2
Multilayer-perceptrons (MLP) are known to struggle with learning functions of high-frequencies, and in particular cases with wide frequency bands. We present a spatially adaptive p…