Burnaby, Canada

Sanjay Haresh

This inventor holds 1 USPTO granted patent. Top assignee: Retrocausal, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sanjay Haresh. Retrieved from https://idiyas.com/inventor/sanjay-haresh-4wrkx7vh

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


% Patents Active = 100.0

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Sanjay Haresh: Innovator in Video Segmentation Technology

Introduction

Sanjay Haresh is a notable inventor based in Burnaby, Canada. He has made significant contributions to the field of video processing and machine learning. His innovative work focuses on developing systems that enhance the way videos are analyzed and segmented.

Latest Patents

Sanjay Haresh holds a patent for a "System and method for determining sub-activities in videos and segmenting the videos with little to no annotation." This patent describes a method that includes extracting batches from videos and features from frames associated with those batches. The process involves generating predicted codes and determining various loss metrics. Ultimately, the method categorizes frames into predefined clusters and generates segmented videos for user interfaces on electronic devices.

Career Highlights

Sanjay has been instrumental in advancing video segmentation technology through his work at Retrocausal, Inc. His innovative approach has led to the development of methods that require minimal annotation, making video analysis more efficient and accessible.

Collaborations

Sanjay collaborates with talented individuals such as Quoc-Huy Tran and Muhammad Zeeshan Zia. Their combined expertise contributes to the success of their projects and the advancement of technology in their field.

Conclusion

Sanjay Haresh is a pioneering inventor whose work in video segmentation technology is shaping the future of video analysis. His contributions are significant and continue to influence the industry.

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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