Tom Dagès

Thomas Dagès

I am a PhD student in the Computer Science Faculty at the Technion-Israel Institute of Technology (Haifa, Israel) supervised by Prof. Alfred Bruckstein and Prof. Michael Lindenbaum. I previously obtained my M.Sc. in Computer Science from the Technion in 2019, and my Diplôme d'Ingénieur (MSc equivalent) from École polytechnique (Saclay, France) in 2017.

My research interests include regular and geometric computer vision, signal and image processing, analysis, and synthesis, and deep learning interpretability.

Email / CV / Google Scholar / LinkedIn / Github

Publications

	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]
	On Partial Shape Correspondence and Functional Maps Amit Bracha, Thomas Dagès, Ron Kimmel ArXiv Preprint, 2023
	A Model is Worth Tens of Thousands of Examples Thomas Dagès, Laurent D. Cohen, Alfred M. Bruckstein SSVM, 2023 [Preprint] [Poster]
	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
	Doubly Stochastic Pairwise Interactions for Agreement and Alignment Thomas Dagès, Alfred M. Bruckstein SIAM Journal on Applied Mathematics, 2022 [Preprint]
	Probabilistic Gathering of Agents with Simple Sensors Ariel Barel, Thomas Dagès, Rotem Manor, Alfred M. Bruckstein SIAM Journal on Applied Mathematics, 2021 [Preprint]
	Seeing Things in Random-Dot Videos Thomas Dagès, Michael Lindenbaum, Alfred M. Bruckstein ACPR, 2019 [Technical Report]