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1 out of 832,843 Years Active: 2021-2024
Title: Mihai Zanfir: Innovator in Body Reconstruction and Object Estimation
Introduction
Mihai Zanfir is a notable inventor based in Bucharest, Romania. He has made significant contributions to the fields of body shape reconstruction and object state estimation through his innovative patents. With a total of three patents to his name, Zanfir's work showcases the intersection of technology and machine learning.
Latest Patents
One of Mihai Zanfir's latest patents is titled "Systems and methods for reconstructing body shape and pose." This patent focuses on reconstructing representations of bodies from images. The method involves inputting image data into a machine-learned reconstruction model, predicting surface marker locations on the body, and outputting a representation that corresponds to these markers. The model's parameters are learned based on a consistency loss related to the distance between generated representations and parametric representations using kinematic constraints.
Another significant patent is "Systems and methods for refined object estimation from image data." This patent outlines a method for estimating an object's state from two-dimensional image data. The process includes obtaining image data, processing it to obtain an initial estimated state, and refining this state through iterative evaluations of a loss function. The final output is a precise estimated state for the object.
Career Highlights
Mihai Zanfir has worked with prominent companies, including Google Inc. His experience in these organizations has contributed to his expertise in machine learning and image processing technologies. His innovative approaches have garnered attention in the tech community.
Collaborations
Throughout his career, Zanfir has collaborated with notable individuals such as Cristian Sminchisescu and Andrei Zanfir. These collaborations have likely enriched his work and expanded the impact of his inventions.
Conclusion
Mihai Zanfir is a distinguished inventor whose work in body reconstruction and object estimation reflects his innovative spirit and technical expertise. His contributions continue to influence advancements in machine learning and image processing technologies.