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For the Inventor, By the Inventor

Scarborough, Canada

Dibyendu Mukherjee

This inventor holds 7 USPTO granted patents and 4 published patent applications. Top assignee: Seiko Epson Corporation. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Dibyendu Mukherjee. Retrieved from https://idiyas.com/inventor/dibyendu-mukherjee

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

Calculating rank
USPTO Granted Patents = 7 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 5(Granted Patents)


Company Filing History:

goldMedal7 out of 34,305 
 
Seiko Epson Corporation
 patents

Years Active: 2020-2026

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7 patents (USPTO):Explore Patents
1. 12586242 - Method, system, and computer program for recognizing position and attitude of object imaged by camera (2026-03-24),
2. 11475242 - Domain adaptation losses (2022-10-18),
3. 11430151 - Online learning for 3D pose estimation using simplified constellations (2022-08-30),
4. 11107241 - Methods and systems for training an object detection algorithm using synthetic images (2021-08-31),
5. 10878285 - Methods and systems for shape based training for an object detection algorithm (2020-12-29),
6. 10769437 - Adaptive sampling of training views (2020-09-08),
7. 10755434 - Low feature object detection and pose estimation for image data streams (2020-08-25),

Title: Dibyendu Mukherjee: Innovator in 3D Modeling and Pose Estimation

Introduction

Dibyendu Mukherjee is a prominent inventor based in Scarborough, Canada. He has made significant contributions to the field of 3D modeling and pose estimation, holding a total of 7 patents. His innovative work focuses on enhancing the accuracy and efficiency of object tracking and image processing.

Latest Patents

Among his latest patents is a method for domain adaptation losses, which involves a non-transitory computer-readable medium that embodies instructions for processors to perform a method. This method includes selecting a 3D model corresponding to an object and generating a first 2D image of the model in a specific pose. Additionally, it generates a second 2D image of the same model with a different texture. The method further determines the locations of features on the 3D model in both images and adjusts algorithm parameters based on the calculated differences.

Another notable patent is focused on online learning for 3D pose estimation using simplified constellations. This invention involves a non-transitory computer-readable medium that stores instructions for processors to acquire a sequence of image data containing images of an object over time. The method tracks the pose of the object through an object pose tracking algorithm, verifies the pose, and extracts 2D features for a training dataset.

Career Highlights

Dibyendu Mukherjee is currently employed at Seiko Epson Corporation, where he continues to develop innovative solutions in the realm of 3D modeling and image processing. His work has been instrumental in advancing the capabilities of technology in these areas.

Collaborations

He collaborates with talented individuals such as Mikhail Brusnitsyn and Irina Kezele, contributing to a dynamic and innovative work environment.

Conclusion

Dibyendu Mukherjee's contributions to the field of 3D modeling and pose estimation are noteworthy, and his patents reflect his commitment to innovation. His work continues to influence advancements in technology and image processing.

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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