7 citations · 11 across the 6 of their papers we have counts for
3 papers · 1 filter
ANISE: Assembly-based Neural Implicit Surface rEconstruction
Dmitry Petrov, Matheus Gadelha, Radomir Mech +1
We present ANISE, a method that reconstructs a 3D~shape from partial observations (images or sparse point clouds) using a part-aware neural implicit shape representation. The shape…
Cross-Shape Attention for Part Segmentation of 3D Point Clouds
Marios Loizou, Siddhant Garg, Dmitry Petrov +2
We present a deep learning method that propagates point-wise feature representations across shapes within a collection for the purpose of 3D shape segmentation. We propose a cross-…
Kernel classification of connectomes based on earth mover's distance between graph spectra
Yulia Dodonova, Mikhail Belyaev, Anna Tkachev +2
In this paper, we tackle a problem of predicting phenotypes from structural connectomes. We propose that normalized Laplacian spectra can capture structural properties of brain net…