10 citations · 20 across the 5 of their papers we have counts for
5 papers
A deep neural network framework for dynamic multi-valued mapping estimation and its applications
Geng Li, Di Qiu, Lok Ming Lui
This paper addresses the problem of modeling and estimating dynamic multi-valued mappings. While most mathematical models provide a unique solution for a given input, real-world ap…
Modal Uncertainty Estimation via Discrete Latent Representation
Di Qiu, Lok Ming Lui
Many important problems in the real world don't have unique solutions. It is thus important for machine learning models to be capable of proposing different plausible solutions wit…
Shape analysis via inconsistent surface registration
Gary P. T. Choi, Di Qiu, Lok Ming Lui
In this work, we develop a framework for shape analysis using inconsistent surface mapping. Traditional landmark-based geometric morphometrics methods suffer from the limited degre…
Inconsistent Surface Registration via Optimization of Mapping Distortions
Di Qiu, Lok-Ming Lui
We address the problem of registering two surfaces, of which a natural bijection between them does not exist. More precisely, only a partial subset of the source surface is assumed…
Computing quasiconformal folds
Di Qiu, Ka-Chun Lam, Lok-Ming Lui
We propose a novel way of computing surface folding maps via solving a linear PDE. This framework is a generalization to the existing quasiconformal methods and allows manipulation…