Huan LEI

I am now funded by AIML Adelaide to continue my research on computational mesh modelling. I was a Research Fellow at the Australian National University in 2022, working on geometric data processing with Hongdong Li. I received my Doctorate from the University of Western Australia where I was advised by Ajmal Mian and Naveed Akhtar. My PhD was funded by the Research Training Program of Australian Government.

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seek wisdom & take the blame

I'm interested in neural fields for surface reconstruction, geometric deep learning for 3D Vision+Graphics, self-supervised learning, computational geometry.

Picasso and PicassoNet++ for deep learning over heterogeneous 3D meshes. We formulate the continuous filters for mesh convolution using spherical harmonics as orthonormal basis.

By exploiting the duality between a triangle and its circumcenter, we propose to triangulates 3D point clouds into manifold meshes using a graph neural network, named CircNet. The network detects circumcenters and recovers vertex triplets of each triangle face, reconstructing a primitive mesh. Standard post-processing is then applied to convert the primitive mesh into a manifold surface.

The preliminary Picasso for geometric deep learning over 3D meshes. Please refer to our TNNLS2023 work for the latest Pytorch codes.

Fuzzy modelling makes convolutions robust to varying densities of point clouds.

Professional service

Reviewer for CVPR, TPAMI, TNNLS, TIP.