Cheng-Kun Yang

Title: Cheng-Kun Yang: Innovator in Object Detection Technology

Introduction

Cheng-Kun Yang is a prominent inventor based in Taipei, Taiwan. He has made significant contributions to the field of object detection through his innovative methods and technologies. His work focuses on enhancing the performance of convolutional neural networks (CNNs) for object classification and box regression.

Latest Patents

Cheng-Kun Yang holds a patent for an object detection method and a convolution neural network designed for the same purpose. This patent outlines a sophisticated method that utilizes a hierarchical architecture of CNNs. The process involves extracting groups of augmented feature maps from an input image, identifying positive and negative samples using an IOU-based sampling scheme, and mapping proposals to regions on the feature maps. The method ensures enhanced performance in object classification and box regression by leveraging spatially-rich and semantically-rich features.

Career Highlights

Throughout his career, Cheng-Kun Yang has worked with notable organizations, including Aetherai IP Holding LLC and National Taiwan University. His experience in these institutions has allowed him to develop and refine his innovative approaches to object detection technology.

Collaborations

Cheng-Kun Yang has collaborated with esteemed colleagues such as Chao-Yuan Yeh and Wen-Chien Chou. These partnerships have contributed to the advancement of his research and the successful implementation of his patented technologies.

Conclusion

Cheng-Kun Yang is a key figure in the realm of object detection, with a focus on improving CNN methodologies. His contributions have the potential to significantly impact various applications in technology and artificial intelligence.