Barcelona, Spain

Carlo Gatta

USPTO Granted Patents = 5 

Average Co-Inventor Count = 5.7

ph-index = 2

Forward Citations = 38(Granted Patents)


Company Filing History:


Years Active: 2013-2024

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5 patents (USPTO):Explore Patents

Title: Carlo Gatta: Innovator in Object Detection Technologies

Introduction

Carlo Gatta is a prominent inventor based in Barcelona, Spain. He has made significant contributions to the field of object detection, holding a total of 5 patents. His work focuses on enhancing the capabilities of neural networks to improve object recognition in various applications.

Latest Patents

One of Carlo Gatta's latest patents is titled "Object detection based on object relation." This patent describes various embodiments that provide for the detection of a particular object within a scene depicted by image data. The approach utilizes a coarse-to-fine strategy based on the relationships of objects within the scene. Another notable patent is "Systems and methods for a tailored neural network detector." This invention outlines a neural network that is tailored based on user-provided input data to detect user-specified objects in image data. The architecture may use unlabeled data from the user, such as images from a video camera stream, while training or adapting the parameters of the tailored neural network.

Career Highlights

Throughout his career, Carlo Gatta has worked with several notable companies, including Boston Scientific Scimed, Inc. and Vintra, Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas in the field of object detection.

Collaborations

Carlo has collaborated with talented individuals such as Ariel Amato and Angel Domingo Sappa. These partnerships have contributed to the advancement of his projects and the successful implementation of his inventions.

Conclusion

Carlo Gatta is a distinguished inventor whose work in object detection technologies has made a significant impact in the field. His innovative patents and collaborations highlight his dedication to advancing technology and improving object recognition systems.

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