Company Filing History:
Years Active: 2023-2025
Title: Yossi Gandelsman: Innovator in Image Processing Technologies
Introduction
Yossi Gandelsman is a prominent inventor based in Berkeley, CA. He has made significant contributions to the field of image processing, holding a total of 3 patents. His work focuses on enhancing image editing techniques, particularly in reducing distractions and improving facial image quality.
Latest Patents
Gandelsman's latest patents include innovative techniques for reducing distractions in images. These techniques involve tuning an image editing operator that processes raw image data and a mask indicating a region of interest. The operator generates processed image data, which is then analyzed using a trained saliency model to create a saliency map. This map provides saliency values that are compared to target values, allowing for the modification of the image editing operator's parameters based on a saliency loss function.
Another notable patent involves facial image editing and enhancement using a personalized prior. This technology identifies a personalized prior within a generative model's latent vector space based on a set of images of a specific subject. By confining the inputs of the generative model to this latent vector space, the model can effectively edit images of the subject while preserving their identifying features.
Career Highlights
Yossi Gandelsman is currently employed at Google Inc., where he continues to develop cutting-edge technologies in image processing. His work has garnered attention for its potential applications in various fields, including photography, video editing, and artificial intelligence.
Collaborations
Gandelsman has collaborated with notable colleagues such as Kfir Aberman and Yael Pritch Knaan. These partnerships have contributed to the advancement of innovative solutions in image processing.
Conclusion
Yossi Gandelsman's contributions to image processing technologies demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of the complexities involved in image editing and enhancement.