Heidelberg, Germany

Daniel Onoro-Rubio

This inventor holds 2 USPTO granted patents and 4 published patent applications. Top assignees: Nec Corporation, Nec Laboratories Europe Gmbh. Active years: 2020-2021.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Daniel Onoro-Rubio. Retrieved from https://idiyas.com/inventor/daniel-onoro-rubio-hym84qvk

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2020-2021

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2 patents (USPTO):Explore Patents

Title: Daniel Onoro-Rubio: Innovator in Image Processing Technologies

Introduction

Daniel Onoro-Rubio is a prominent inventor based in Heidelberg, Germany. He has made significant contributions to the field of image processing, particularly in the areas of automatic image segmentation and object density estimation. With a total of 2 patents, his work showcases innovative approaches to complex problems in image analysis.

Latest Patents

Daniel's latest patents include a "Method and system for contextualizing automatic image segmentation and regression." This patent describes systems and methods that utilize an hourglass neural network model. The model includes an encoder that generates compression layers, including a bottleneck layer, and a decoder that incorporates a contextual convolution operation. This operation establishes skip connections between reconstruction layers and prior layers of different spatial dimensions, enhancing the model's performance.

Another notable patent is the "System and method for single image object density estimation." This method involves receiving an input image from an image sensor and providing an annotated dataset to identify a target object. The output is an object density map generated using a deep neural network with pairs of compression and decompression layers connected by gated shortcuts. This innovative approach allows for effective monitoring of object density in images.

Career Highlights

Throughout his career, Daniel has worked with notable companies such as NEC Laboratories Europe GmbH and NEC Corporation. His experience in these organizations has allowed him to develop and refine his expertise in image processing technologies.

Collaborations

Daniel has collaborated with various professionals in his field, including his coworker Mathias Niepert. Their joint efforts have contributed to advancements in image processing and related technologies.

Conclusion

Daniel Onoro-Rubio is a distinguished inventor whose work in image processing has led to significant advancements in the field. His innovative patents and career achievements reflect his dedication to improving technology in image analysis.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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