Finding correspondences between 3D shapes is a crucial problem in comput...
We propose a novel mixed-integer programming (MIP) formulation for gener...
We present G-MSM (Graph-based Multi-Shape Matching), a novel unsupervise...
The Sinkhorn operator has recently experienced a surge of popularity in
...
We present a novel neural implicit shape method for partial point cloud
...
Earth observation is a fundamental tool for monitoring the evolution of ...
We present NeuroMorph, a new neural network architecture that takes as i...
We propose a novel unsupervised learning approach to 3D shape correspond...
We revisit the classical problem of 3D shape interpolation and propose a...
We propose a novel 3D shape correspondence method based on the iterative...
We present a novel method to model and calculate deformation fields betw...
Gaussian random fields are popular models for spatially varying
uncertai...