Moscow, Russia

Alexander Snorkin

This inventor holds 2 USPTO granted patents and 2 published patent applications. Top assignee: Acronis International Gmbh. Active years: 2024-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Alexander Snorkin. Retrieved from https://idiyas.com/inventor/alexander-snorkin

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

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Innovations by Alexander Snorkin

Introduction

Alexander Snorkin is a notable inventor based in Moscow, Russia. He has made significant contributions to the field of image processing and neural networks. With a total of two patents to his name, Snorkin's work focuses on advanced systems for object classification and detection.

Latest Patents

Snorkin's latest patents include "Systems and methods for color-based outfit classification using semantic embeddings." This patent discloses systems and methods for classifying objects in an image using a color-based neural network. The method involves training a neural network to classify an object in a given image into a color class from a set of color classes. It also includes determining a subset of color classes anticipated to be in a received input image based on image metadata. The neural network is configured to output a color class associated with a second semantic embedding that has the least amount of distance to the first semantic embedding from a plurality of semantic embeddings.

Another significant patent is "Systems and methods for detecting small objects in an image using a neural network." This patent outlines a method for detecting small objects in an image using a neural network. It includes receiving a first neural network trained on a dataset of various objects and identifying its structure. If the first neural network cannot classify an object below a certain size, a second neural network is generated and trained to classify the object effectively.

Career Highlights

Alexander Snorkin is currently employed at Acronis International GmbH, where he continues to innovate in the field of technology. His work has garnered attention for its practical applications in image processing and artificial intelligence.

Collaborations

Some of his notable coworkers include Sergey Ulasen and Andrey Adaschik, who contribute to the collaborative environment at Acronis.

Conclusion

Alexander Snorkin's contributions to the field of neural networks and image processing are noteworthy. His innovative patents reflect his expertise and commitment to advancing technology.

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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