This inventor holds 1 USPTO granted patent. Top assignee: A9.com, Inc.. Active years: 2021.
Company Filing History:
Years Active: 2021
Title: Kenan Deng: Innovator in Machine Learning and 3D Modeling
Introduction
Kenan Deng is a prominent inventor based in Palo Alto, CA. He has made significant contributions to the field of machine learning, particularly in the area of generating three-dimensional models from multiple views of physical objects. His innovative approach combines advanced neural network techniques to enhance the accuracy and efficiency of 3D modeling.
Latest Patents
Kenan Deng holds a patent for a "Method and system for generating models from multiple views." This machine learning system receives a reference image and generates a series of projected view images of a physical object represented in the images. Parallel neural networks analyze the reference image and the projected view images to determine features of the physical object. By pooling the results from the parallel networks, a single output is provided to a set of decoders trained to identify material properties of the items. Consequently, a three-dimensional model is generated, which includes a graphical representation of the object based on its material properties, enabling improved rendering.
Career Highlights
Kenan Deng is currently employed at A9.com, Inc., where he continues to develop innovative solutions in machine learning and computer vision. His work has positioned him as a key figure in the advancement of technologies that bridge the gap between physical and digital representations of objects.
Collaborations
Some of his notable coworkers include Xi Zhang and Arnab S Dhua, who collaborate with him on various projects at A9.com, Inc. Their combined expertise contributes to the development of cutting-edge technologies in the field.
Conclusion
Kenan Deng's contributions to machine learning and 3D modeling exemplify the innovative spirit of modern inventors. His work not only advances technology but also enhances the way we interact with and understand physical objects in a digital context.
