Making Large Video Models Small

Discover how cutting-edge research is making large video models more efficient and accessible. In this talk, Jia-Xing Zhong will present his latest work on compressing and optimizing video models without compromising performance. Free food and snacks will be provided. This talk is open to all disciplines—whether you have an engineering background or not, everyone is welcome to attend.

Bio: Jia-Xing Zhong graduated from Sun Yat-sen University with a B.Eng. degree in Computer Science and Technology in 2017. He received an M.NatSci. degree in Computer Applied Technology from Peking University in 2020. Currently, he is a D.Phil. student (Oct. 2020 – ) in the Department of Computer Science at the University of Oxford. His main research interest is machine learning and computer vision.