Company Filing History:
Years Active: 2022-2025
Title: Martin Kersner: Innovator in Image Processing and Neural Networks
Introduction
Martin Kersner is a notable inventor based in Seoul, South Korea. He has made significant contributions to the fields of image processing and neural networks, holding two patents that showcase his innovative approach to technology.
Latest Patents
Kersner's latest patents include a method and apparatus for generating a reenacted image. This method involves extracting landmarks from both a driver image and a target image. It generates a driver feature map based on pose and expression information of a face in the driver image. Additionally, it creates a target feature map and a pose-normalized target feature map based on the style information of a second face in the target image. The process culminates in generating a reenacted image using a mixed feature map derived from both the driver and target feature maps.
Another significant patent is for a processor designed to accelerate convolutional operations in convolutional neural networks. This method includes obtaining input activation data quantized with a first bit from an input image and weight data quantized with a second bit. The process involves binarizing both the input activation data and weight data, performing an inner operation based on binary operations, and storing the result as output activation data.
Career Highlights
Kersner is currently employed at Hyperconnect Inc., where he continues to push the boundaries of technology in his field. His work has been instrumental in advancing methods that enhance image processing capabilities and improve the efficiency of neural networks.
Collaborations
He collaborates with talented individuals such as Sang Il Ahn and Sung Joo Ha, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Martin Kersner stands out as a prominent inventor whose work in image processing and neural networks has the potential to influence various technological advancements. His patents reflect a deep understanding of complex systems and a commitment to innovation.