37 citations · 37 across the 6 of their papers we have counts for
6 papers
Implicit Minimal Surfaces for Bijective Correspondences
Etienne Corman, Yousuf Soliman, Robin Magnet +1
We introduce an implicit representation of continuous, bijective, orientation-preserving maps between genus zero surfaces with or without boundary. The distortion of these maps can…
Unified Brain Surface and Volume Registration
S. Mazdak Abulnaga, Andrew Hoopes, Malte Hoffmann +6
Accurate registration of brain MRI scans is fundamental for cross-subject analysis in neuroscientific studies. This involves aligning both the cortical surface of the brain and the…
Sinkhorn Normalization of Diffusion Kernels
Nathan Kessler, Robin Magnet, Jean Feydy
Smoothing a signal based on local neighborhoods is a core operation in machine learning and geometry processing. On well-structured domains such as vector spaces and manifolds, the…
Memory-Scalable and Simplified Functional Map Learning
Robin Magnet, Maks Ovsjanikov
Deep functional maps have emerged in recent years as a prominent learning-based framework for non-rigid shape matching problems. While early methods in this domain only focused on…
Scalable and Efficient Functional Map Computations on Dense Meshes
Robin Magnet, Maks Ovsjanikov
Spectral geometric methods have brought revolutionary changes to the field of geometry processing. Of particular interest is the study of the Laplacian spectrum as a compact, isome…
Smooth Non-Rigid Shape Matching via Effective Dirichlet Energy Optimization
Robin Magnet, Jing Ren, Olga Sorkine-Hornung +1
We introduce pointwise map smoothness via the Dirichlet energy into the functional map pipeline, and propose an algorithm for optimizing it efficiently, which leads to high-quality…