b'Raja Giryes'

research

∙ 05/31/2023

Dense and Aligned Captions (DAC) Promote Compositional Reasoning in VL Models

Vision and Language (VL) models offer an effective method for aligning r...

3 Sivan Doveh, et al. ∙

research

∙ 05/27/2023

Pruning at Initialization – A Sketching Perspective

The lottery ticket hypothesis (LTH) has increased attention to pruning n...

0 Noga Bar, et al. ∙

research

∙ 05/25/2023

Neural (Tangent Kernel) Collapse

This work bridges two important concepts: the Neural Tangent Kernel (NTK...

0 Mariia Seleznova, et al. ∙

research

∙ 05/25/2023

UDPM: Upsampling Diffusion Probabilistic Models

In recent years, Denoising Diffusion Probabilistic Models (DDPM) have ca...

0 Shady Abu Hussein, et al. ∙

research

∙ 03/26/2023

VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting

Label-efficient and reliable semantic segmentation is essential for many...

0 Dina Bashkirova, et al. ∙

research

∙ 03/23/2023

Set-the-Scene: Global-Local Training for Generating Controllable NeRF Scenes

Recent breakthroughs in text-guided image generation have led to remarka...

0 Dana Cohen-Bar, et al. ∙

research

∙ 02/03/2023

TEXTure: Text-Guided Texturing of 3D Shapes

In this paper, we present TEXTure, a novel method for text-guided genera...

0 Elad Richardson, et al. ∙

research

∙ 12/06/2022

ADIR: Adaptive Diffusion for Image Reconstruction

In recent years, denoising diffusion models have demonstrated outstandin...

0 Shady Abu Hussein, et al. ∙

research

∙ 11/25/2022

MAEDAY: MAE for few and zero shot AnomalY-Detection

The goal of Anomaly-Detection (AD) is to identify outliers, or outlying ...

0 Eli Schwartz, et al. ∙

research

∙ 11/25/2022

PIP: Positional-encoding Image Prior

In Deep Image Prior (DIP), a Convolutional Neural Network (CNN) is fitte...

0 Nimrod Shabtay, et al. ∙

research

∙ 11/21/2022

Teaching Structured Vision Language Concepts to Vision Language Models

Vision and Language (VL) models have demonstrated remarkable zero-shot p...

11 Sivan Doveh, et al. ∙

research

∙ 11/14/2022

Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures

Text-guided image generation has progressed rapidly in recent years, ins...

0 Gal Metzer, et al. ∙

research

∙ 10/25/2022

Learning Low Dimensional State Spaces with Overparameterized Recurrent Neural Network

Overparameterization in deep learning typically refers to settings where...

0 Edo Cohen-Karlik, et al. ∙

research

∙ 08/30/2022

A Diffusion Model Predicts 3D Shapes from 2D Microscopy Images

Diffusion models are a class of generative models, showing superior perf...

16 Dominik J. E. Waibel, et al. ∙

research

∙ 07/12/2022

Utilizing Excess Resources in Training Neural Networks

In this work, we suggest Kernel Filtering Linear Overparameterization (K...

0 Amit Henig, et al. ∙

research

∙ 05/26/2022

Membership Inference Attack Using Self Influence Functions

Member inference (MI) attacks aim to determine if a specific data sample...

0 Gilad Cohen, et al. ∙

research

∙ 04/25/2022

ProCST: Boosting Semantic Segmentation using Progressive Cyclic Style-Transfer

Using synthetic data for training neural networks that achieve good perf...

2 Shahaf Ettedgui, et al. ∙

research

∙ 04/16/2022

Stress-Testing LiDAR Registration

Point cloud registration (PCR) is an important task in many fields inclu...

7 Amnon Drory, et al. ∙

research

∙ 01/31/2022

SPAGHETTI: Editing Implicit Shapes Through Part Aware Generation

Neural implicit fields are quickly emerging as an attractive representat...

3 Amir Hertz, et al. ∙

research

∙ 01/18/2022

Extending the Vocabulary of Fictional Languages using Neural Networks

Fictional languages have become increasingly popular over the recent yea...

0 Thomas Zacharias, et al. ∙

research

∙ 01/05/2022

DeepMLS: Geometry-Aware Control Point Deformation

We introduce DeepMLS, a space-based deformation technique, guided by a s...

14 Meitar Shechter, et al. ∙

research

∙ 12/28/2021

Video Reconstruction from a Single Motion Blurred Image using Learned Dynamic Phase Coding

Video reconstruction from a single motion-blurred image is a challenging...

0 Erez Yosef, et al. ∙

research

∙ 12/04/2021

Unsupervised Domain Generalization by Learning a Bridge Across Domains

The ability to generalize learned representations across significantly d...

6 Sivan Harary, et al. ∙

research

∙ 10/11/2021

Mesh Draping: Parametrization-Free Neural Mesh Transfer

Despite recent advances in geometric modeling, 3D mesh modeling still in...

0 Amir Hertz, et al. ∙

research

∙ 10/06/2021

DeepBBS: Deep Best Buddies for Point Cloud Registration

Recently, several deep learning approaches have been proposed for point ...

0 Itan Hezroni, et al. ∙

research

∙ 09/16/2021

KATANA: Simple Post-Training Robustness Using Test Time Augmentations

Although Deep Neural Networks (DNNs) achieve excellent performance on ma...

0 Gilad Cohen, et al. ∙

research

∙ 08/12/2021

MISS GAN: A Multi-IlluStrator Style Generative Adversarial Network for image to illustration translation

Unsupervised style transfer that supports diverse input styles using onl...

17 Noa Barzilay, et al. ∙

research

∙ 05/30/2021

Z2P: Instant Rendering of Point Clouds

We present a technique for rendering point clouds using a neural network...

0 Gal Metzer, et al. ∙

research

∙ 05/05/2021

FLEX: Parameter-free Multi-view 3D Human Motion Reconstruction

The increasing availability of video recordings made by multiple cameras...

3 Brian Gordon, et al. ∙

research

∙ 05/04/2021

Orienting Point Clouds with Dipole Propagation

Establishing a consistent normal orientation for point clouds is a notor...

0 Gal Metzer, et al. ∙

research

∙ 04/20/2021

Detector-Free Weakly Supervised Grounding by Separation

Nowadays, there is an abundance of data involving images and surrounding...

7 Assaf Arbelle, et al. ∙

research

∙ 04/19/2021

SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization

Multilayer-perceptrons (MLP) are known to struggle with learning functio...

0 Amir Hertz, et al. ∙

research

∙ 02/24/2021

Multiplicative Reweighting for Robust Neural Network Optimization

Deep neural networks are widespread due to their powerful performance. Y...

0 Noga Bar, et al. ∙

research

∙ 02/04/2021

Image Restoration by Deep Projected GSURE

Ill-posed inverse problems appear in many image processing applications,...

10 Shady Abu Hussein, et al. ∙

research

∙ 01/27/2021

An Interpretation of Regularization by Denoising and its Application with the Back-Projected Fidelity Term

The vast majority of image recovery tasks are ill-posed problems. As suc...

0 Einav Yogev-Ofer, et al. ∙

research

∙ 01/25/2021

ISP Distillation

Nowadays, many of the images captured are "observed" by machines only an...

0 Eli Schwartz, et al. ∙

research

∙ 12/08/2020

GMM-Based Generative Adversarial Encoder Learning

While GAN is a powerful model for generating images, its inability to in...

0 Yuri Feigin, et al. ∙

research

∙ 12/07/2020

Fine-grained Angular Contrastive Learning with Coarse Labels

Few-shot learning methods offer pre-training techniques optimized for ea...

0 Guy Bukchin, et al. ∙

research

∙ 10/05/2020

Best Buddies Registration for Point Clouds

We propose new, and robust, loss functions for the point cloud registrat...

0 Amnon Drory, et al. ∙

research

∙ 09/21/2020

Kernel-Based Smoothness Analysis of Residual Networks

A major factor in the success of deep neural networks is the use of soph...

21 Tom Tirer, et al. ∙

research

∙ 09/05/2020

Deep Sparse Light Field Refocusing

Light field photography enables to record 4D images, containing angular ...

6 Shachar Ben Dayan, et al. ∙

research

∙ 08/14/2020

Self-Sampling for Neural Point Cloud Consolidation

In this paper, we introduce a deep learning technique for consolidating ...

10 Gal Metzer, et al. ∙

research

∙ 07/03/2020

Self-supervised Neural Architecture Search

Neural Architecture Search (NAS) has been used recently to achieve impro...

0 Sapir Kaplan, et al. ∙

research

∙ 06/30/2020

Deep Geometric Texture Synthesis

Recently, deep generative adversarial networks for image generation have...

16 Amir Hertz, et al. ∙

research

∙ 05/31/2020

Face Authentication from Grayscale Coded Light Field

Face verification is a fast-growing authentication tool for everyday sys...

0 Dana Weitzner, et al. ∙

research

∙ 05/22/2020

Point2Mesh: A Self-Prior for Deformable Meshes

In this paper, we introduce Point2Mesh, a technique for reconstructing a...

15 Rana Hanocka, et al. ∙

research

∙ 05/03/2020

On the Convergence Rate of Projected Gradient Descent for a Back-Projection based Objective

Ill-posed linear inverse problems appear in many fields of imaging scien...

0 Tom Tirer, et al. ∙

research

∙ 04/15/2020

A function space analysis of finite neural networks with insights from sampling theory

This work suggests using sampling theory to analyze the function space r...

0 Raja Giryes, et al. ∙

research

∙ 04/14/2020

Efficient Least Residual Greedy Algorithms for Sparse Recovery

We present a novel stagewise strategy for improving greedy algorithms fo...

0 Guy Leibovitz, et al. ∙

research

∙ 03/30/2020

PointGMM: a Neural GMM Network for Point Clouds

Point clouds are a popular representation for 3D shapes. However, they e...

28 Amir Hertz, et al. ∙

Raja Giryes

Featured Co-authors