Teng-Yok Lee

Title: Innovations by Teng-Yok Lee in Active Learning Systems

Introduction

Teng-Yok Lee, an accomplished inventor based in Cambridge, MA, has made significant contributions to the fields of object detection and active learning systems. With a remarkable catalog of six patents, he is recognized for his innovative approaches that leverage technology to enhance performance in various applications.

Latest Patents

His latest patents showcase remarkable advancements in active learning technologies. One prominent patent is for a system and method for localization-aware active learning for object detection. This invention involves a sensor that collects data from scenes containing images of objects, along with a memory that stores active learning data tied to an object detector trained for identifying these objects. The invention employs a processor that detects both the semantic class and the location of objects in images, utilizing a combined detection metric based on the uncertainties surrounding classification and localization. Notably, the system enables the display of images for human labeling when the detection metric surpasses a predetermined threshold.

Another cutting-edge patent relates to visually aided active learning for training an object detector. This system classifies multiple objects within an input image, calculating a classification metric that reflects the uncertainty of each classified object belonging to various classes. It evaluates the diversity metric of the input image and utilizes this evaluation to render the image on a display device. Subsequently, it trains the classifier using the labeled objects from the input image, thereby optimally enhancing the detection process.

Career Highlights

Teng-Yok Lee currently works at Mitsubishi Electric Research Laboratories, Inc., where he continues to innovate and develop advanced technologies in the field of object detection. His work is not only pivotal in driving the research forward but also contributes to practical applications in industries relying heavily on image processing and artificial intelligence.

Collaborations

In his career, Teng-Yok has collaborated with notable coworkers including Ming-Yu Liu and Chieh-Chi Kao. These collaborations reflect a commitment to leveraging diverse expertise to foster innovation and tackle complex challenges within the realm of computer vision and machine learning.

Conclusion

Through his invaluable contributions and inventive spirit, Teng-Yok Lee is a leading figure in the advancement of active learning systems. His patents not only enhance current technologies but also pave the way for future innovations in object detection and beyond. As he continues his work at Mitsubishi Electric Research Laboratories, Inc., the impact of his innovations will undoubtedly resonate within the industry and academia alike.