Thomas Dagès
5 papers · 2024–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(16)
🌈
Renaissance Researcher
(5)
Venues
Top co-authors
Research topics
Mathematics & Optimization
(4)
Mathematics
(4)
Computer Vision
(3)
Deep Learning
(3)
Machine Learning
(3)
Analysis
(2)
Architectures
(2)
Optimization & Theory · Machine Learning
(2)
Computer Science
(1)
Knowledge & Reasoning
(1)
Applications
(1)
Core Methods
(1)
Learning Types
(1)
Optimization
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
manifold learning
(3)
geodesic distance
(2)
finsler manifold
(2)
metric learning
(2)
geometric deep learning
(1)
image denoising
(1)
eigenvalue decomposition
(1)
graph embedding
(1)
isometric matching
(1)
reconstruction error
(1)
spectral analysis
(1)
laplacian operators
(1)
convolutional neural network
(1)
heat kernel
(1)
neural field
(1)
laplace-beltrami operator
(1)
multidimensional scaling
(1)
geometric regularization
(1)
kernel methods
(1)
partial shape matching
(1)
Papers
Learning Eigenstructures of Unstructured Data Manifolds
CVPR 2026
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
CVPR 2025
Metric Convolutions: A Unifying Theory to Adaptive Image Convolutions
ICCV 2025
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis
CVPR 2024
Wormhole Loss for Partial Shape Matching
NeurIPS 2024