San Francisco, CA, United States of America

Sergey Zakharov

This inventor holds 22 USPTO granted patents and 12 published patent applications and 1 EPO patent, primarily in Volumetric Rendering. Top assignees: Toyota Research Institute, Inc., Toyota Jidosha Kabushiki Kaisha, Massachusetts Institute of Technology. Active years: 2024-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sergey Zakharov. Retrieved from https://idiyas.com/inventor/sergey-zakharov-wtasqef5

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

Calculating rank
USPTO Granted Patents = 22 

% Patents Active = 81.8

 

Average Co-Inventor Count = 4.7

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2024-2026

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Areas of Expertise:
Volumetric Rendering
Depth Estimation
Neural Scene Representation
3D Object Detection
Self-Supervised Learning
Multi-Object Tracking
Shape Optimization
Image Processing
Pose Estimation
Latent Space Encoding
Adversarial Learning
Conditional Neural Networks
22 patents (USPTO):Explore Patents

Title: The Innovative Mind of Sergey Zakharov

Introduction

Sergey Zakharov, an accomplished inventor based in San Francisco, CA, has made significant contributions to the field of technology with a focus on 3D object detection and computer vision. With a total of 11 patents to his name, Zakharov continuously pushes the boundaries of innovation.

Latest Patents

Among his latest inventions is the patent titled "Adversarial object-aware neural scene rendering for 3D object detection." This innovative method enhances 3D object detection through object-level augmentations. The process encompasses recognizing an object within an image using a sophisticated image recognition model and subsequently generating a 3D reconstruction of the scene. Additionally, the method manipulates specific properties of the recognized object in a way that optimizes the performance of the recognition model, ultimately reducing loss in training downstream networks.

Another notable patent is the "Pose estimation method and apparatus." This patent describes a computer-implemented approach for estimating the poses of objects in a given scene. It involves determining edge data and keypoints through a trained artificial neural network, which assists in accurately estimating the poses of the objects of interest.

Career Highlights

Throughout his career, Zakharov has worked with prominent organizations such as the Toyota Research Institute and Toyota Motor Corporation. His experiences in these companies have honed his skills in technology development and innovation, further establishing him as a leading inventor in his field.

Collaborations

Zakharov has collaborated with distinguished colleagues, including Vitor Guizilini and Rares A Ambrus. These collaborations have likely contributed to the success and advancement of his innovative projects, showcasing the value of teamwork in achieving groundbreaking technological solutions.

Conclusion

Sergey Zakharov stands out as a visionary inventor whose work continues to inspire and advance the world of computer vision and 3D object detection. With a robust portfolio of patents and a history of collaboration with industry leaders, Zakharov's contributions will undoubtedly have a lasting impact on future innovations in 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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