Paris, France

Matias Tassano Ferrés

USPTO Granted Patents = 6 

Average Co-Inventor Count = 3.3

ph-index = 3

Forward Citations = 13(Granted Patents)


Company Filing History:


Years Active: 2020-2024

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6 patents (USPTO):Explore Patents

Title: Matias Tassano Ferrés: Innovator in Video Processing Technologies

Introduction

Matias Tassano Ferrés is a prominent inventor based in Paris, France. He has made significant contributions to the field of video processing, particularly in the development of advanced algorithms for image denoising and deblurring. With a total of five patents to his name, Ferrés continues to push the boundaries of technology.

Latest Patents

One of his latest patents is titled "Method and apparatus for convolutional neural network-based video denoising." This invention involves an image capture device that includes an image sensor and a processor. The image sensor captures multiple frames, while the processor employs a series of denoising layers to enhance the quality of the captured images. Another notable patent is "Burst deblurring with kernel estimation networks." This method focuses on deblurring a target image by utilizing a burst of images, transforming them into the frequency domain, and applying neural networks to achieve a clearer final image.

Career Highlights

Matias Ferrés is currently employed at GoPro, Inc., where he applies his expertise in video technology. His work has been instrumental in enhancing the capabilities of image processing devices, making them more efficient and effective in real-world applications.

Collaborations

Throughout his career, Ferrés has collaborated with talented individuals such as Julie Delon and Thomas Nicolas Emmanuel Veit. These partnerships have fostered innovation and creativity in their projects.

Conclusion

Matias Tassano Ferrés is a key figure in the realm of video processing technologies. His innovative patents and contributions to GoPro, Inc. highlight his commitment to advancing the field. His work continues to inspire future developments in image processing.

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