Professor Ming-Hsuan Yang is an internationally renowned expert in computer vision and artificial intelligence. He is currently a professor of electrical engineering and computer science at the University of California, Merced and a researcher at Google DeepMind. With his outstanding contributions in the field of computer vision, he has been elected as an "ACM Fellow" and an "AAAI Fellow", becoming a globally recognized top scholar in the fields of artificial intelligence and computer science.
Academic background and research achievements
Professor Ming-Hsuan Yang obtained his Ph.D. in Computer Science from the University of Illinois at Urbana Champaign (UIUC) in 2000, laying a solid academic foundation. His research interests cover computer vision, pattern recognition, machine learning, artificial intelligence, and robotics technology, particularly achieving breakthrough results in fields such as visual object tracking, low-level visual processing, and visual learning systems.
As a pioneer in the field of visual tracking, he designed a series of efficient and robust algorithms and led the development of multiple globally recognized benchmark datasets (such as OTB, VOT, etc.), providing a unified standard for algorithm performance evaluation and greatly promoting the standardized development of this field. In addition, he has long been committed to building open source communities, and his publicly available code and tools have been widely adopted by researchers and industry worldwide, becoming an important cornerstone of academic and industrial innovation.
Academic Leadership and Influence
Professor Ming-Hsuan Yang is not only an outstanding researcher, but also an active builder of the academic community. He has long served as a core organizer of top international conferences, including the "ACCV 2014 Program Co Chair," "ACCV 2016 Conference Co Chair," and "ICCV 2019 Program Co Chair," and has played a key role in the field of CVPR, ECCV, NeurIPS, ICLR, and other top conference presidium roles. His academic insight and leadership have injected significant momentum into research directions in the global fields of computer vision and artificial intelligence.
Practitioners of industry university research integration
In addition to academic contributions, Professor Ming-Hsuan Yang actively promotes the integration of industry, academia, and research. His research work at Google DeepMind has further bridged the gap between academic frontiers and industrial applications, particularly in the areas of algorithm optimization and engineering implementation for complex visual tasks. His research not only enhances the depth of fundamental theories, but also provides key technical support for practical scenarios such as autonomous driving, robot perception, and augmented reality.
Honor and Inheritance
Professor Ming-Hsuan Yang's achievements have been highly recognized by the international academic community. He has successively been awarded ACM Fellow and AAAI Fellow, which demonstrates his lifelong influence in the fundamental theory of artificial intelligence, algorithm innovation, and community service. At the same time, he continues to promote the advancement of global visual intelligence technology by cultivating a new generation of scientific research talents and building an open and shared research ecosystem.
Academician Ming-Hsuan Yang has become a benchmark figure in the field of computer vision with outstanding academic insight, engineering practice spirit, and open collaboration concept. His research continues to lead the industry and provide an indispensable foundation for breakthroughs and application of artificial intelligence technology.
Professor Ming-Hsuan Yang's academic contributions have been highly recognized by international peers, and his election as a member of the National Academy of Artificial Intelligence (NAAI) in the United States is an authoritative recognition of his research influence and technological innovation. His work not only expands the theoretical boundaries of computer vision, but also empowers the global research community through open source tools and standardized datasets, becoming a key force in promoting the inclusive development of artificial intelligence.