9 citations · 21 across the 13 of their papers we have counts for
14 papers
Fill My Mirror: Geometry-Constrained Mirror Inpainting
Ofek Basson, Shimon Vainer, Yacov Hel-Or +1
Mirrors are common in real-world images, yet producing geometrically consistent reflections with generative models remains challenging. Unlike most objects, mirror appearance depen…
Diamonds in the Sky: Pareidolic Animals in Clouds
Miriam Horovicz, Yacov Hel-Or, Yael Moses
People often see animal shapes in clouds, a phenomenon known as pareidolia. We propose an AI-based method that aims to predict which animals people are likely to perceive in clouds…
Invariant inter-subject relational structures in the human visual cortex
Ofer Lipman, Shany Grossman, Doron Friedman +2
It is a fundamental behavior that different individuals see the world in a largely similar manner. This is an essential basis for humans' ability to cooperate and communicate. Howe…
Specularity Factorization for Low-Light Enhancement
Saurabh Saini, P J Narayanan
We present a new additive image factorization technique that treats images to be composed of multiple latent specular components which can be simply estimated recursively by modula…
Binaural sound source localization using a hybrid time and frequency domain model
Gil Geva, Olivier Warusfel, Shlomo Dubnov +3
This paper introduces a new approach to sound source localization using head-related transfer function (HRTF) characteristics, which enable precise full-sphere localization from ra…
Multi-Directional Subspace Editing in Style-Space
Chen Naveh, Yacov Hel-Or
This paper describes a new technique for finding disentangled semantic directions in the latent space of StyleGAN. Our method identifies meaningful orthogonal subspaces that allow…
DDNeRF: Depth Distribution Neural Radiance Fields
David Dadon, Ohad Fried, Yacov Hel-Or
In recent years, the field of implicit neural representation has progressed significantly. Models such as neural radiance fields (NeRF), which uses relatively small neural networks…
DeepShadow: Neural Shape from Shadow
Asaf Karnieli, Ohad Fried, Yacov Hel-Or
This paper presents DeepShadow, a one-shot method for recovering the depth map and surface normals from photometric stereo shadow maps. Previous works that try to recover the surfa…
Pairwise Margin Maximization for Deep Neural Networks
Berry Weinstein, Shai Fine, Yacov Hel-Or
The weight decay regularization term is widely used during training to constrain expressivity, avoid overfitting, and improve generalization. Historically, this concept was borrowe…
Margin-Based Regularization and Selective Sampling in Deep Neural Networks
Berry Weinstein, Shai Fine, Yacov Hel-Or
We derive a new margin-based regularization formulation, termed multi-margin regularization (MMR), for deep neural networks (DNNs). The MMR is inspired by principles that were appl…
Autoencoder Image Interpolation by Shaping the Latent Space
Alon Oring, Zohar Yakhini, Yacov Hel-Or
Autoencoders represent an effective approach for computing the underlying factors characterizing datasets of different types. The latent representation of autoencoders have been st…
The Role of Redundant Bases and Shrinkage Functions in Image Denoising
Yacov Hel-Or, Gil Ben-Artzi
Wavelet denoising is a classical and effective approach for reducing noise in images and signals. Suggested in 1994, this approach is carried out by rectifying the coefficients of…
Proximity Preserving Binary Code using Signed Graph-Cut
Inbal Lav, Shai Avidan, Yoram Singer +1
We introduce a binary embedding framework, called Proximity Preserving Code (PPC), which learns similarity and dissimilarity between data points to create a compact and affinity-pr…
Selective sampling for accelerating training of deep neural networks
Berry Weinstein, Shai Fine, Yacov Hel-Or
We present a selective sampling method designed to accelerate the training of deep neural networks. To this end, we introduce a novel measurement, the minimal margin score (MMS), w…