Chih-Ting Liu

Title: Chih-Ting Liu: Innovator in Computer Vision Technology

Introduction

Chih-Ting Liu is a prominent inventor based in Taipei, Taiwan. He has made significant contributions to the field of computer vision, particularly in the area of object detection. His innovative work aims to enhance the accuracy and reliability of computer vision systems.

Latest Patents

Chih-Ting Liu holds a patent for a system designed to filter false positive notifications in computer-vision-based object detection events. The 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.

Career Highlights

Chih-Ting Liu is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in the realm of computer vision. His work is instrumental in improving the performance of object detection systems, which are critical in various applications, including autonomous vehicles and surveillance systems.

Collaborations

Chih-Ting Liu collaborates with talented individuals such as Jhih-Yuan Lin and Meng-Jiun Chiou. These collaborations foster a creative environment that enhances the development of cutting-edge technologies.

Conclusion

Chih-Ting Liu is a key figure in the advancement of computer vision technology, with a focus on reducing false positives in object detection. His contributions are paving the way for more reliable and efficient systems in the field.