Meng-Jiun Chiou

Title: Meng-Jiun Chiou: Innovator in Computer Vision Technology

Introduction

Meng-Jiun Chiou is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of computer vision, particularly in enhancing object detection systems. His innovative work aims to improve the accuracy and reliability of computer vision technologies.

Latest Patents

Meng-Jiun Chiou holds a patent for a system titled "Filtering false positive computer-vision-based object detection events." This patent describes systems and techniques for suppressing false positive notifications for detected objects. In various examples, first bounding box data indicating a detection of a first class of object in a first frame of image data may be received from an object detector. Second bounding box data indicating a prior detection of the first class of object in a second frame of image data may be determined. A first value representing a similarity between the first bounding box data and the second bounding box data may be determined. A notification associated with the detection of the first class of object in the first frame of image data may be suppressed based at least in part on the first value. This innovation is crucial for enhancing the performance of computer vision applications.

Career Highlights

Meng-Jiun Chiou is currently employed at Amazon Technologies, Inc., where he continues to develop cutting-edge technologies in the field of computer vision. His work at Amazon has allowed him to collaborate with leading experts in the industry and contribute to significant advancements in technology.

Collaborations

Some of his coworkers include Jhih-Yuan Lin and Chih-Ting Liu, who are also involved in innovative projects within the company. Their collaborative efforts contribute to the development of advanced technologies that push the boundaries of computer vision.

Conclusion

Meng-Jiun Chiou's contributions to computer vision technology through his patent and work at Amazon Technologies, Inc. highlight his role as an influential inventor in the field. His innovative approaches to filtering false positives in object detection systems are paving the way for more reliable computer vision applications.