Fangcheng Zhong
Research
Currently, my work is focused on hyper-realistic 3D imaging, which spans 3D scene capture, representation, and rendering for novel 3D displays. Beyond that, I am broadly interested in Computer Graphics, Computer Vision, Geometric Machine Learning, and Applied Mathematics.
About Me
I joined the Graphics & Interaction (Rainbow) Group at the University of Cambridge in 2018 as a PhD student in Computer Science advised by Dr Rafał Mantiuk, as well as a Marie-Curie ITN Early Stage Researcher as part of the European ITN RealVision Project.
I keep my LinkedIn Profile up to date - if you are interested, you may find my full education/work experience there.
Supervisions
2018-19:
2019-20:
- Part IA Introduction to Graphics
- Part IB Further Graphics
- Part II Advanced Graphics and Image Processing
- Part II Computer Vision
- Part II Machine Learning and Bayesian Inference
2020-21:
- Part IA Algorithms
- Part IA Introduction to Graphics
- Part IB Further Graphics
- Part II Advanced Graphics and Image Processing
I am also open to supervising Part II projects this year. Interested students are welcome to refer to our listed topics or propose your own ideas.
Selected Publications
Noise aware merging of High Dynamic Range image stacks without camera calibration
Param Hanji, Fangcheng Zhong, Rafał K. Mantiuk
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 2020
DiCE: Dichoptic Contrast Enhancement for VR and Stereo Displays
Fangcheng Zhong, George Alex Koulieris, George Drettakis, Martin S. Banks, Mathieu Chambe, Fredo Durand, Rafał K. Mantiuk
ACM Transactions on Graphics (Proceedings of ACM SIGGRAPH Asia), 2019
Contact
Email: fangcheng [dot] zhong [at] cl [dot] cam [dot] ac [dot] uk
Phone: +44 (0)1223 763659
Office: SS13, Computer Laboratory
Address: Computer Laboratory, William Gates Building, 15 JJ Thomson Ave, Cambridge CB3 0FD
- © 2018 Computer Laboratory, University of Cambridge