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Michael Wu

2 accepted papers

2024

Codec Avatar Studio: Paired Human Captures for Complete, Driveable, and Generalizable Avatars

NeurIPS 2024poster

To build photorealistic avatars that users can embody, human modelling must be complete (cover the full body), driveable (able to reproduce the current motion and appearance from the user), and generalizable (_i.e._, easily adaptable to novel identities). Towards these goals, _paired_ captures, that…

2021

A Kernel-based Test of Independence for Cluster-correlated Data

NeurIPS 2021poster

The Hilbert-Schmidt Independence Criterion (HSIC) is a powerful kernel-based statistic for assessing the generalized dependence between two multivariate variables. However, independence testing based on the HSIC is not directly possible for cluster-correlated data. Such a correlation pattern among t…

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