We have four papers accepted at CVPR 2024:
Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features with Thomas Wimmer and Peter Wonka,
Scalable and Simplified Functional Map Learning with Robin Magnet
Self-Supervised Dual Contouring with Ramana Sundararaman and Roman Klokov
PoNQ: a Neural QEM-based Mesh Representation with Nissim Maruani, Pierre Alliez and Mathieu Desbrun
In the new year, we have three new group members: Emery Pierson as a postdoctoral researcher, as well as Diego Gomez (supported by the ERC project VEGA) and Léopold Maillard (as an industrial PhD student in partnership with Dassault Systèmes). In addition, Mazdak Abulnaga (MIT CSAIL and Harvard Medical School) came to visit us for a month as a research collaborator. Welcome to Emery, Diego, Léopold and Maz!
I gave a talk in the GDR RADIA IFM joint meeting, held in Angers. My talk was on
Robust General-Purpose Learning on Surfaces and Graphs.
Two of our papers:
RIVQ-VAE: Discrete Rotation-invariant 3D Representation Learning with Mariem Mezghanni and Malika Boulkenafed; and
Unsupervised Representation Learning for Diverse Deformable Shape Collections with Sara Hahner, Souhaib Attaiki, and Jochen Garcke have been accepted at 3DV 2024.
Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction with Souhaib Attaiki has been accepted at NeurIPS 2023.
I gave one of the two keynote talks at the Machine Learning for Geometry Workshop, held at the Institut Henri Poincaré in Paris. This event in general had a very exciting set of speakers and talks.
As part of the ELLIS program, I'm currently accepting applications for (fully funded) PhD positions via the ELLIS portal. You can find the information here: https://ellis.eu/news/ellis-phd-program-call-for-applications-2023
Tim Scheller has just joined our group as a starting PhD student, to work on topics related to dynamic 3D shape modelling, reconstruction and generation among other things. Welcome to Tim!
I gave one of three keynotes at Pacific Graphics 2023. My talk was dedicated to giving an overview of functional maps, from their inception to recent breakthroughs.
I'm excited to be giving a keynote at 3DOR 2023 on
Efficient, general-purpose feature learning for 3D shape comparison.
I'm happy to be part of three accepted at ICCV 2023:
SATR: Zero-Shot Semantic Segmentation of 3D Shapes with Ahmed Abdelreheem, Ivan Skorokhodov, and Peter Wonka (from KAUST);
Spatially and Spectrally Consistent Deep Functional Maps with Mingze Sun, Shiwei Mao, Puhua Jiang, and Ruqi Huang (from TBSI); and
VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams with Nissim Maruani, Roman Klokov, Pierre Alliez, and Mathieu Desbrun