Washington, DC, United States of America

Kyle Martin


Average Co-Inventor Count = 3.3

ph-index = 3

Forward Citations = 13(Granted Patents)


Company Filing History:


Years Active: 2020-2023

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3 patents (USPTO):Explore Patents

Title: Innovations by Inventor Kyle Martin

Introduction

Kyle Martin is an accomplished inventor based in Washington, DC. He has made significant contributions to the field of computer vision, holding a total of 3 patents. His work focuses on enhancing visual search techniques and improving training data collection processes.

Latest Patents

One of Kyle's latest patents is titled "Scene and user-input context aided visual search." This patent provides a technique for determining the context of an image and identifying objects depicted within it. A trained context classification model is utilized to ascertain the context of an image, while an object recognition model identifies the object based on both the image and its context. Another notable patent involves a method for determining an object depicted within an image based on an input location detected by a display screen. This technique detects objects by analyzing the distance in feature space between an image feature vector and the object's feature vector, as well as the distance in pixel-space between the input location and the object's location within the image.

Career Highlights

Kyle Martin is currently employed at Slyce Acquisition Inc., where he continues to innovate and develop new technologies. His expertise in computer vision has positioned him as a valuable asset to his company and the industry at large.

Collaborations

Kyle collaborates with talented individuals such as Adam Turkelson and Sethu Hareesh Kolluru, contributing to a dynamic work environment that fosters creativity and innovation.

Conclusion

Kyle Martin's contributions to the field of computer vision through his patents and collaborative efforts highlight his role as a leading inventor. His work continues to push the boundaries of technology and improve visual search methodologies.

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