activity
20222026
most citedImage Quality Assessment: Learning to Rank Image Distortion Level

3 citations · 7 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Stuck on Shuffle: On Attribute-Object Binding in Vision-Language Models

Netanel Y. Tamir, Michael Green, Issar Tzachor +4

Retrieval is a fundamental task in multimodal systems: given an image or text query, the goal is to find the most relevant images or texts in a collection, often using a shared emb…

cs.CV2026

PixReenact: Pixel-Conditioned Causal Video Diffusion for Streaming Head-Avatar Reenactment

Gavriel Habib, Dvir Samuel, Or Shimshi +1

Streaming head-avatar reenactment aims to animate a reference image according to a live driving video, requiring robust motion transfer, long-term identity stability, and low laten…

cs.CV2025

CarGait: Cross-Attention based Re-ranking for Gait recognition

Gavriel Habib, Noa Barzilay, Or Shimshi +2

Gait recognition is a computer vision task that identifies individuals based on their walking patterns. Gait recognition performance is commonly evaluated by ranking a gallery of c…

cs.CV2024★ 3 cited

EffoVPR: Effective Foundation Model Utilization for Visual Place Recognition

Issar Tzachor, Boaz Lerner, Matan Levy +8

The task of Visual Place Recognition (VPR) is to predict the location of a query image from a database of geo-tagged images. Recent studies in VPR have highlighted the significant…

cs.CV2023★ 1 cited

Watch Where You Head: A View-biased Domain Gap in Gait Recognition and Unsupervised Adaptation

Gavriel Habib, Noa Barzilay, Or Shimshi +2

Gait Recognition is a computer vision task aiming to identify people by their walking patterns. Although existing methods often show high performance on specific datasets, they lac…

eess.IV2022★ 3 cited

Image Quality Assessment: Learning to Rank Image Distortion Level

Shira Faigenbaum-Golovin, Or Shimshi

Over the years, various algorithms were developed, attempting to imitate the Human Visual System (HVS), and evaluate the perceptual image quality. However, for certain image distor…