San Jose, CA, United States of America

Muhammad Zeeshan Zia


Average Co-Inventor Count = 5.0

ph-index = 2

Forward Citations = 38(Granted Patents)


Company Filing History:


Years Active: 2019-2020

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7 patents (USPTO):Explore Patents

Title: Muhammad Zeeshan Zia: Innovator in 3D Correspondence Estimation

Introduction

Muhammad Zeeshan Zia is a prominent inventor based in San Jose, CA (US). He has made significant contributions to the field of computer vision and machine learning, holding a total of 7 patents. His work focuses on advanced methods for estimating dense 3D geometric correspondences, which have applications in various technological domains.

Latest Patents

One of his latest patents is titled "Dense three-dimensional correspondence estimation with multi-level metric learning and hierarchical matching." This innovative method estimates dense 3D geometric correspondences between two input point clouds using a 3D convolutional neural network (CNN) architecture. The process involves transforming the input point clouds into truncated distance function voxel grid representations and extracting features at multiple levels. The method employs deep supervision and multiple contrastive losses to refine matching locations effectively.

Another notable patent is "Computer aided traffic enforcement using dense correspondence estimation with multi-level metric learning and hierarchical matching." This system utilizes an image capturing device to capture multiple images of a traffic environment. It employs a hierarchical feature extractor to concurrently extract geometric and semantic features, estimating correspondences to determine vehicle locations in three dimensions. This technology aims to enhance traffic scenario detection and notification.

Career Highlights

Muhammad Zeeshan Zia is currently employed at NEC Corporation, where he continues to develop innovative solutions in the field of computer vision. His expertise in 3D correspondence estimation has positioned him as a key player in advancing technology that impacts various industries.

Collaborations

He has collaborated with notable colleagues, including Quoc-Huy Tran and Manmohan Chandraker, contributing to the development of cutting-edge technologies in their respective fields.

Conclusion

Muhammad Zeeshan Zia's contributions to the field of 3D correspondence estimation and traffic enforcement systems highlight his innovative spirit and dedication to advancing technology. His work continues to influence the landscape of computer vision and machine learning.

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