Di Qiu

I am a fourth year PhD student at The Chinese University of Hong Kong, where I am working on geometric modelling, computer vision and computational photography.

Prviously I worked as an research intern at SenseTime Research, working on applications of deep learning in computational photography with depth sensing devices and physically accurate synthetic data.

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I'm interested in geometric modelling in computer graphics, computer vision, machine learning, and the mathematics related to them.

My current research mainly focuses on understanding the lighting and geometry of the scene and re-combine them to create new visual effects.

Inconsistent Surface Registration via Optimization of Mapping Distortions

Di Qiu, Lok Ming Lui

Simutaneouly finding domain of correspondence and registration by optimizing distortions in the mapping differential.

Deep End-to-End Alignment and Refinement for Time-of-Flight RGB-D Modules

Di Qiu, Jiahao Pang, Chengxi Yang, Wenxiu Sun
ICCV, 2019

Cross-modal flow estimation and Time-of-Flight depth refinement using deep learning.

[code & dataset]
Computing Quasiconformal Folds

Di Qiu, Ka Chun Lam, Lok Ming Lui
SIAM Journal of Imaging Science, 2019

Computing folding and unfolding maps via a generalized form of quasiconformal mapping and crease geometry inference.


This theme is adapted from Jon Barron's page .