Ankara, Turkey

Batuhan Karagoz


Average Co-Inventor Count = 5.1

ph-index = 6

Forward Citations = 131(Granted Patents)


Company Filing History:


Years Active: 2021-2025

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7 patents (USPTO):Explore Patents

Title: Batuhan Karagoz: Innovator in Neural Network Training Systems

Introduction

Batuhan Karagoz is a prominent inventor based in Ankara, Turkey. He has made significant contributions to the field of neural networks, particularly in developing systems that enhance the prediction of human mesh models. With a total of seven patents to his name, Karagoz is recognized for his innovative approaches in technology.

Latest Patents

Karagoz's latest patents include a groundbreaking system for training neural networks that predict the parameters of a human mesh model using dense depth and part-based UV map annotations. This system incorporates at least one camera and a data processor that executes computer-executable instructions. It involves receiving frames from a video, extracting image data, and inputting this data into a human mesh estimator module. The module estimates mesh parameters to determine a predicted mesh and generates training signals using a two-dimensional keypoint loss module. Another patent focuses on a similar system that utilizes depth loss and rigid transform loss modules to enhance the accuracy of the predictions.

Career Highlights

Karagoz is currently employed at Bertec Corporation, where he continues to push the boundaries of technology in neural network training. His work has been instrumental in advancing the capabilities of human mesh modeling, which has applications in various fields, including computer vision and animation.

Collaborations

Throughout his career, Karagoz has collaborated with notable colleagues such as Emre Akbas and Necip Berme. These partnerships have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.

Conclusion

Batuhan Karagoz stands out as a key figure in the realm of neural network innovations. His contributions through patents and collaborative efforts continue to shape the future of technology in human mesh modeling.

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