Itamar Tsayag

During my time as a Lead Computer Vision Algorithm Developer at AiVF (2023-2024), I developed AiVF’s flagship deep learning models, which formed the foundation of the company’s technology. AiVF leverages AI to estimate embryo viability and improve IVF success rates by analyzing time-lapse videos of embryos from insemination (zygote stage)... [Read More]

Ensuring compliance with passport photo standards was challenging due to variations in user-submitted images. At GovPlus, I leveraged computer vision and deep learning to automate passport image processing. The AI-powered pipeline detected, aligned, cropped, enhanced, and validated images to meet strict regulations. Key techniques included landmark detection, geometric alignment, background... [Read More]

The fashion industry is undergoing a radical transformation, shifting from mass production to hyper-personalized, made-to-measure garments. At One-to-One Systems, we are pioneering this change with cutting-edge AI-driven customizable fashion algorithms. [Read More]

Deep neural networks (DNNs) have achieved state-of-the-art performance across many domains, largely due to their over-parameterized nature. However, this comes at a cost—high memory usage, slow inference, and limited deployability on edge devices. In this work, we explore a new method to uncover Strong Lottery Tickets (SLTs) using a fully... [Read More]