Prof. Dr. Siyu Tang

I’m a tenure-track assistant professor in the Department of Computer Science at ETH Zürich. I lead the Computer Vision and Learning Group (VLG) at the Institute of Visual Computing. Before joining ETH, I received an early career research grant to start my research group at the Max Planck Institute for Intelligent Systems in November 2017. I was a postdoctoral researcher in the same institute, advised by Dr. Michael Black. I obtained my PhD at the Max Planck Institute for Informatics in 2017, under the supervision of Professor Bernt Schiele. Before that, I received my Master’s degree in Media Informatics at RWTH Aachen University and my Bachelor’s degree in Computer Science at Zhejiang University, China. 

My research focuses on computer vision and machine learning, specializing in perceiving and modeling humans. In my group, we study computational models that enable machines to perceive and analyze human pose, motion, and activities from visual input. We leverage machine learning and optimization techniques to build statistical models of humans and their behaviors. Our goal is to advance algorithmic foundations of scalable and reliable human digitalization, enabling a broad class of real-world applications.