I am a student in the Cambridge-Tübingen PhD Fellowship programme. My main research interests include machine learning and computer vision, especially involving how to combine advantages of Bayesian nonparametrics, causality as well as deep learning, and apply them to large-scale computer vision and artificial intelligent problems.
Bayesian Nonparametrics Causal Inference Deep Learning Computer Vision
Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017, pages: 2137-2145, IEEE, Piscataway, NJ, USA, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017 (conference)
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems