معرفی
Hao Gao is a Professor in the Department of Computer and Information Science at the University of Macau, Faculty of Science and Technology. His research spans computer vision, image processing, and machine learning with a particular focus on human pose estimation, 3D reconstruction, and optimization algorithms. He maintains strong collaborative ties with Nanjing University of Posts and Telecommunications in China, reflecting a dual institutional affiliation that enhances his research impact across Greater China.
His research interests center on computer vision and artificial intelligence, with significant contributions in human pose estimation, 3D reconstruction, point cloud processing, and optimization algorithms. Dr. Gao's work on skeleton-based action recognition, scene flow estimation, and neural rendering techniques has established him as a leading researcher in these specialized areas. His recent work on GaussianHead for high-fidelity head avatars and lifespan age synthesis demonstrates his ability to bridge theoretical advances with practical applications in digital human representation.
Dr. Gao's publication record shows a clear evolution from foundational work on artificial bee colony algorithms to cutting-edge research in neural rendering and 3D vision. His recent publications (2023-2025) demonstrate a strong focus on human-centric computer vision problems, including pose estimation, motion prediction, and medical applications for Parkinson's disease assessment. The interdisciplinary nature of his work connects computer vision with healthcare applications, autonomous systems, and virtual reality.
Dr. Gao has mentored numerous graduate students who have become productive researchers in their own right, including Haolun Li, Jiucheng Xie, and Jian Xiong who frequently appear as co-authors on his publications. His research group has secured funding for projects related to human motion analysis, medical image processing, and autonomous driving perception systems.
His laboratory focuses on advancing computer vision techniques for human understanding, with recent projects including skeleton-based action recognition systems, Parkinson's disease assessment tools, and high-fidelity digital avatar creation. The team maintains strong industry connections, particularly in applications related to autonomous vehicles and medical diagnostics.
