Amsterdam, Netherlands

Elias Kassapis


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Elias Kassapis

Introduction

Elias Kassapis is a notable inventor based in Amsterdam, Netherlands. He has made significant contributions to the field of computer processing systems, particularly in the area of image segmentation. His work is characterized by a focus on neural network models that enhance the capabilities of semantic image segmentation.

Latest Patents

Elias Kassapis holds a patent for a "Neural network model for image segmentation." This innovative patent describes a computer processing system designed to train a model for semantic image segmentation. The model includes a refinement neural network and a discriminator neural network. The refinement neural network is adept at receiving a predicted label distribution for an image and generating multiple predicted segmentation maps. This process involves utilizing random values from a noise source to enhance the model's output. The training of the refinement neural network is guided by an objective function that incorporates the output of the discriminator neural network, ensuring a high level of accuracy in segmentation.

Career Highlights

Elias Kassapis is currently employed at TomTom Global Content B.V., where he applies his expertise in neural networks and image processing. His role involves developing advanced algorithms that improve the efficiency and accuracy of image segmentation tasks. With a strong foundation in computer science and engineering, he has established himself as a key player in his field.

Collaborations

Elias has collaborated with talented individuals such as Cedric Nugteren and Georgi Dikov. These partnerships have fostered a creative environment that encourages innovation and the sharing of ideas.

Conclusion

Elias Kassapis is a pioneering inventor whose work in neural network models for image segmentation is shaping the future of computer processing systems. His contributions are invaluable to the advancement of technology in this domain.

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