Thomas Dagès

22 papers A* 3Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Generative Shape Reconstruction with Geometry-Guided Langevin Dynamics.
CoRR
Linus Härenstam-Nielsen, Dmitrii Pozdeev, Thomas Dagès, Nikita Araslanov, Daniel Cremers
2026 J jnl
Harnessing Data Asymmetry: Manifold Learning in the Finsler World.
CoRR
Thomas Dagès, Simon Weber, Daniel Cremers, Ron Kimmel
2025 J jnl
A model is worth tens of thousands of examples for estimation and thousands for classification.
Pattern Recognit.
Thomas Dagès, Laurent D. Cohen, Alfred M. Bruckstein
2025 A* conf
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding.
CVPR
Thomas Dagès, Simon Weber, Ya-Wei Eileen Lin, Ronen Talmon, Daniel Cremers, Michael Lindenbaum, Alfred M. Bruckstein, Ron Kimmel
2025 J jnl
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding.
CoRR
Thomas Dagès, Simon Weber, Ya-Wei Eileen Lin, Ronen Talmon, Daniel Cremers, Michael Lindenbaum, Alfred M. Bruckstein, Ron Kimmel
2025 J jnl
Learning Eigenstructures of Unstructured Data Manifolds.
CoRR
Roy Velich, Arkadi Piven, David Bensaïd, Daniel Cremers, Thomas Dagès, Ron Kimmel
2024 A* conf
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis.
CVPR
Simon Weber, Thomas Dagès, Maolin Gao, Daniel Cremers
2024 J jnl
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis.
CoRR
Simon Weber, Thomas Dagès, Maolin Gao, Daniel Cremers
2024 J jnl
Metric Convolutions: A Unifying Theory to Adaptive Convolutions.
CoRR
Thomas Dagès, Michael Lindenbaum, Alfred M. Bruckstein
2024 — conf
On Unsupervised Partial Shape Correspondence.
ACCV (9)
Amit Bracha, Thomas Dagès, Ron Kimmel
2024 A* conf
Wormhole Loss for Partial Shape Matching.
NeurIPS
Amit Bracha, Thomas Dagès, Ron Kimmel
2024 J jnl
Wormhole Loss for Partial Shape Matching.
CoRR
Amit Bracha, Thomas Dagès, Ron Kimmel
2023 — conf
A Model is Worth Tens of Thousands of Examples.
SSVM
Thomas Dagès, Laurent D. Cohen, Alfred M. Bruckstein
2023 J jnl
A model is worth tens of thousands of examples.
CoRR
Thomas Dagès, Laurent D. Cohen, Alfred M. Bruckstein
2023 J jnl
From Compass and Ruler to Convolution and Nonlinearity: On the Surprising Difficulty of Understanding a Simple CNN Solving a Simple Geometric Estimation Task.
CoRR
Thomas Dagès, Michael Lindenbaum, Alfred M. Bruckstein
2023 J jnl
On Partial Shape Correspondence and Functional Maps.
CoRR
Amit Bracha, Thomas Dagès, Ron Kimmel
2022 J jnl
Doubly Stochastic Pairwise Interactions for Agreement and Alignment.
SIAM J. Appl. Math.
Thomas Dagès, Alfred M. Bruckstein
2021 J jnl
A Bound on the Edge-Flipping Distance between Triangulations (Revisiting the Proof).
CoRR
Thomas Dagès, Alfred M. Bruckstein
2021 J jnl
Probabilistic Gathering of Agents with Simple Sensors.
SIAM J. Appl. Math.
Ariel Barel, Thomas Dagès, Rotem Manor, Alfred M. Bruckstein
2020 J jnl
Doubly Stochastic Pairwise Interactions for Agreement and Alignment.
CoRR
Thomas Dagès, Alfred M. Bruckstein
2019 — conf
Seeing Things in Random-Dot Videos.
ACPR (1)
Thomas Dagès, Michael Lindenbaum, Alfred M. Bruckstein
2019 J jnl
Seeing Things in Random-Dot Videos.
CoRR
Thomas Dagès, Michael Lindenbaum, Alfred M. Bruckstein