Zurich, Switzerland

Yann Lifchitz

This inventor holds 1 USPTO granted patent. Top assignee: Apple Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Yann Lifchitz. Retrieved from https://idiyas.com/inventor/yann-lifchitz

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations by Yann Lifchitz

Introduction

Yann Lifchitz is a notable inventor based in Zurich, Switzerland. He has made significant contributions to the field of image processing, particularly in the area of image segmentation. His innovative approach has led to the development of techniques that enhance the re-use of digital images.

Latest Patents

Yann Lifchitz holds a patent for "Preprocessing for image segmentation." This technology provides techniques for improved re-use of digital images, including the creation of a new 'sticker' image by extracting one or more objects from a prior image. In this implementation, images in a library may be preprocessed to identify image attributes of corresponding images, including suitability scores, classifications of objects in the images, and masks for the classified objects. He has 1 patent to his name.

Career Highlights

Yann Lifchitz is currently employed at Apple Inc., where he continues to innovate and contribute to advancements in technology. His work focuses on enhancing digital image processing, which is crucial for various applications in today's digital landscape.

Collaborations

Yann collaborates with talented individuals in his field, including his coworker Lee A. Morgan. Their combined expertise fosters an environment of creativity and innovation.

Conclusion

Yann Lifchitz is a prominent figure in the realm of image processing, with a focus on improving digital image re-use. His contributions through patents and collaborations continue to shape the future of technology in this area.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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