2 citations · 3 across the 9 of their papers we have counts for
9 papers
Rethinking Math Reasoning Evaluation: A Robust LLM-as-a-Judge Framework Beyond Symbolic Rigidity
Erez Yosef, Oron Anschel, Shunit Haviv Hakimi +4
Recent advancements in large language models have led to significant improvements across various tasks, including mathematical reasoning, which is used to assess models' intelligen…
Guided Lensless Polarization Imaging
Noa Kraicer, Erez Yosef, Raja Giryes
Polarization imaging captures the polarization state of light, revealing information invisible to the human eye yet valuable in domains such as biomedical diagnostics, autonomous d…
A Lensless Polarization Camera
Noa Kraicer, Shay Elmalem, Erez Yosef +2
Polarization imaging is a technique that creates a pixel map of the polarization state in a scene. Although invisible to the human eye, polarization can assist various sensing and…
Scene-VLM: Multimodal Video Scene Segmentation via Vision-Language Models
Nimrod Berman, Adam Botach, Emanuel Ben-Baruch +5
Segmenting long-form videos into semantically coherent scenes is a fundamental task in large-scale video understanding. Existing encoder-based methods are limited by visual-centric…
Inverse Design of Diffractive Metasurfaces Using Diffusion Models
Liav Hen, Erez Yosef, Dan Raviv +2
Metasurfaces are ultra-thin optical elements composed of engineered sub-wavelength structures that enable precise control of light. Their inverse design - determining a geometry th…
DifuzCam: Replacing Camera Lens with a Mask and a Diffusion Model
Erez Yosef, Raja Giryes
The flat lensless camera design reduces the camera size and weight significantly. In this design, the camera lens is replaced by another optical element that interferes with the in…
Tell Me What You See: Text-Guided Real-World Image Denoising
Erez Yosef, Raja Giryes
Image reconstruction from noisy sensor measurements is challenging and many methods have been proposed for it. Yet, most approaches focus on learning robust natural image priors wh…
Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation
Lior Talker, Aviad Cohen, Erez Yosef +2
Monocular Depth Estimation (MDE) is a fundamental problem in computer vision with numerous applications. Recently, LIDAR-supervised methods have achieved remarkable per-pixel depth…
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…