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Wormhole Loss for Partial Shape Matching
Amit Bracha*,
Thomas Dagès*,
Ron Kimmel
Advances in Neural Information Processing Systems , 2024
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On Partial Shape Correspondence
Amit Bracha,
Thomas Dagès,
Ron Kimmel
Proceedings of the Asian conference on computer vision , 2024
[Preprint]
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A Model is Worth Tens of Thousands of Examples for Estimation and Thousands for Classification
Thomas Dagès,
Laurent D. Cohen,
Alfred M. Bruckstein
Pattern Recognition, 2024
[Poster]
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Metric Convolutions: A Unifying Theory to Adaptive Convolutions
Thomas Dagès,
Michael Lindenbaum,
Alfred M. Bruckstein
ArXiv Preprint, 2024
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Finsler-Laplace-Beltrami Operators with Application to Shape Analysis
Simon Weber*,
Thomas Dagès*,
Maolin Gao,
Daniel Cremers
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
[Preprint]
[Poster - Technion CS Graduate Research Day]
[Poster - CVPR]
[Video]
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A Model is Worth Tens of Thousands of Examples
Thomas Dagès,
Laurent D. Cohen,
Alfred M. Bruckstein
SSVM, 2023
[Preprint]
[Poster]
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From Compass and Ruler to Convolution and Nonlinearity: On the Surprising Difficulty of Understanding a Simple CNN Solving a Simple Geometric Estimation Task
Thomas Dagès,
Michael Lindenbaum,
Alfred M. Bruckstein
ArXiv Preprint, 2023
[Poster]
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Doubly Stochastic Pairwise Interactions for Agreement and Alignment
Thomas Dagès,
Alfred M. Bruckstein
SIAM Journal on Applied Mathematics, 2022
[Preprint]
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Probabilistic Gathering of Agents with Simple Sensors
Ariel Barel,
Thomas Dagès,
Rotem Manor,
Alfred M. Bruckstein
SIAM Journal on Applied Mathematics, 2021
[Preprint]
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Seeing Things in Random-Dot Videos
Thomas Dagès,
Michael Lindenbaum,
Alfred M. Bruckstein
ACPR, 2019
[Technical Report]
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