Ming-Hsuan Yang

Ming-Hsuan Yang is a prominent researcher in the fields of computer vision, machine learning, and artificial intelligence. He currently holds dual positions as a Research Scientist at Google DeepMind and as a Professor in the Electrical Engineering and Computer Science program at the University of California, Merced.13

Academic Background and Achievements

Professor Yang has made significant contributions to his field, as evidenced by his impressive citation count of over 130,000.1 His research focuses on computer vision and related problems, with particular emphasis on object detection, visual tracking, and image processing.3

Some of his notable achievements include:

• Being named a Highly Cited Researcher by Clarivate Analytics multiple times (2018-2023)2
• Receiving the IEEE Fellow distinction in January 20192
• Being elected as an ACM Fellow in December 20212
• Winning the prestigious Longuet-Higgins Prize in June 2023 for his paper "Online Object Tracking: A Benchmark"2

Awards and Honors

Throughout his career, Professor Yang has received numerous awards and honors, including:

• NSF Faculty Early Career Development (CAREER) Award (2012)2
• Google Faculty Award (2009)2
• UC Merced Senate Award for Distinguished Research (2014)2
• Multiple Best Paper awards and honorable mentions at top conferences such as IEEE CVPR, ACM UIST, and ACCV2

Professional Experience

In addition to his current roles at Google DeepMind and UC Merced, Professor Yang has established the Vision and Learning Lab at UC Merced.3 He has supervised numerous PhD students and postdoctoral researchers, many of whom have gone on to successful careers in academia and industry.3

Publications and Research Impact

Professor Yang has published extensively in top-tier conferences and journals in his field. Some of his most influential works include:

• "Online object tracking: A benchmark" (2013), cited over 7,000 times1
• "Detecting Faces in Images: A Survey" (2002), cited over 6,000 times1
• "Incremental learning for robust visual tracking" (2008), cited over 4,000 times1

His research has significantly advanced the state-of-the-art in various computer vision tasks and has had a lasting impact on the research community.

Ming-Hsuan Yang's LinkedIn username is minghsuanyang, where more details about his professional background and accomplishments can be found.2