Di Qiu

Di Qiu

Currently, I work as a research engineer in Google AR.

Prviously I got my PhD from The Chinese University of Hong Kong, and worked as a research intern at Google and SenseTime Research.

Blog / Email / Google Scholar / LinkedIn

	MonoAvatar: Learning Personalized High Quality Volumetric Head Avatars from Monocular RGB Videos Ziqian Bai, Feitong Tan, Zeng Huang, Kripasindhu Sarkar, Danhang Tang, Di Qiu, Abhimitra Meka, Ruofei Du, Mingsong Dou, Sergio Orts-Escolano, Rohit Pandey, Ping Tan, Thabo Beeler, Sean Fanello, Yinda Zhang CVPR, 2023 [project] Use a parametric head model equipped with learnable features to do photo-real free view-point rendering.
	Modal Uncertainty Estimation via Discrete Latent Representation Di Qiu, Lok Ming Lui MICCAI UNSURE workshop, 2021 [code] Learning latent mode hypothesis and their uncertainty estimation for one-to-many mappings.
	Towards Geometry Guided Neural Relighting with Flash Photography Di Qiu, Jin Zeng, Zhanghan Ke, Wenxiu Sun, Chengxi Yang 3DV, 2020 Directional relighting from a single co-located flash image and its depth map.
	Inconsistent Surface Registration via Optimization of Mapping Distortions Di Qiu, Lok Ming Lui Journal of Scientific Computing, 2020 Simutaneouly finding domain of correspondence and registration by optimizing distortions in the mapping differential. [code]
	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. [code]

This theme is adapted from Jon Barron's page .