Souhaib Attaiki

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 18

Top Topics

Globally Consistent

Agnostic Learning

Surface Representation

Top Venues

Publications

Souhaib Attaiki, Maks Ovsjanikov
Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction. CoRR (2024)
Sara Hahner, Souhaib Attaiki, Jochen Garcke, Maks Ovsjanikov
Unsupervised Representation Learning for Diverse Deformable Shape Collections. 3DV (2024)
Vincent Mallet, Souhaib Attaiki, Maks Ovsjanikov
AtomSurf : Surface Representation for Learning on Protein Structures. CoRR (2023)
Souhaib Attaiki, Maks Ovsjanikov
Understanding and Improving Features Learned in Deep Functional Maps. CoRR (2023)
Souhaib Attaiki, Maks Ovsjanikov
Understanding and Improving Features Learned in Deep Functional Maps. CVPR (2023)
Souhaib Attaiki, Maks Ovsjanikov
NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching. CoRR (2023)
Souhaib Attaiki, Lei Li, Maks Ovsjanikov
Generalizable Local Feature Pre-training for Deformable Shape Analysis. CoRR (2023)
Souhaib Attaiki, Maks Ovsjanikov
Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction. NeurIPS (2023)
Souhaib Attaiki, Lei Li, Maks Ovsjanikov
Generalizable Local Feature Pre-training for Deformable Shape Analysis. CVPR (2023)
Sara Hahner, Souhaib Attaiki, Jochen Garcke, Maks Ovsjanikov
Unsupervised Representation Learning for Diverse Deformable Shape Collections. CoRR (2023)
Lei Li, Souhaib Attaiki, Maks Ovsjanikov
SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence. 3DV (2022)
Nicholas Sharp, Souhaib Attaiki, Keenan Crane, Maks Ovsjanikov
DiffusionNet: Discretization Agnostic Learning on Surfaces. ACM Trans. Graph. 41 (3) (2022)
Lei Li, Souhaib Attaiki, Maks Ovsjanikov
SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence. CoRR (2022)
Souhaib Attaiki, Maks Ovsjanikov
NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching. NeurIPS (2022)
Souhaib Attaiki, Gautam Pai, Maks Ovsjanikov
DPFM: Deep Partial Functional Maps. CoRR (2021)
Souhaib Attaiki, Gautam Pai, Maks Ovsjanikov
DPFM: Deep Partial Functional Maps. 3DV (2021)
Riccardo Marin, Souhaib Attaiki, Simone Melzi, Emanuele Rodolà, Maks Ovsjanikov
Why you should learn functional basis. CoRR (2021)
Nicholas Sharp, Souhaib Attaiki, Keenan Crane, Maks Ovsjanikov
Diffusion is All You Need for Learning on Surfaces. CoRR (2020)