Dunakeszi, Hungary

Csaba Nemes

This inventor holds 5 USPTO granted patents and 1 published patent application and 1 EPO patent. Top assignees: Continental Autonomous Mobility Germany Gmbh, Continental Automotive Technologies Gmbh, Nanyang Technological University. Active years: 2021-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Csaba Nemes. Retrieved from https://idiyas.com/inventor/csaba-nemes

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

USPTO Granted Patents = 5 

% Patents Active = 100.0

 

Average Co-Inventor Count = 2.7

ph-index = 2

Forward Citations = 5(Granted Patents)


Company Filing History:


Years Active: 2021-2026

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5 patents (USPTO):Explore Patents

Title: The Innovative Mind of Csaba Nemes

Introduction

Csaba Nemes is a notable inventor based in Dunakeszi, Hungary. He has made significant contributions to the field of neural networks and machine vision applications. With a total of 5 patents to his name, his work reflects a deep understanding of complex computational tasks.

Latest Patents

One of his latest patents is titled "Method for determining the encoder architecture of a neural network." This method focuses on determining an encoder architecture of a convolutional neural network specifically designed for image processing tasks. The process involves calculating a characteristic scale distribution based on training data for each image processing task. It generates encoder architecture candidates that include a shared encoder layer and branches that provide different computational operations for various tasks. The method assesses the quality of these architectures by comparing assessment measures related to the matching quality of the characteristic scale distribution and the receptive field sizes of the encoder layers.

Another significant patent is "Systems and methods for deep multi-task learning for embedded machine vision applications." This computer-implemented method involves receiving data from vehicle sensors and performing multiple prediction tasks simultaneously using a multi-task neural network. The network comprises a shared parameter inference matrix that is over-parameterized during training, allowing for task-specific parameter matrices to be created for different prediction tasks.

Career Highlights

Csaba has worked with prominent companies such as Nokia Solutions and Networks and Nokia Technologies. His experience in these organizations has contributed to his expertise in developing innovative solutions in the field of technology.

Collaborations

Throughout his career, Csaba has collaborated with talented individuals, including Regina Deak-Meszlenyi and Istvan Ketyko. These partnerships have likely enriched his work and led to further advancements in his projects.

Conclusion

Csaba Nemes stands out as an influential inventor in the realm of neural networks and machine vision. His innovative patents and career achievements highlight his commitment to advancing technology and solving complex problems.

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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