Finn M. Sherry

most citedCrossing-Preserving Geodesic Tracking on Spherical Images

3 citations · 4 across the 5 of their papers we have counts for

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math.DG2025

Diffusion-Shock PDEs for Deep Learning on Position-Orientation Space

Finn M. Sherry, Kristina Schaefer, Remco Duits

We extend Regularised Diffusion-Shock (RDS) filtering from Euclidean space $R_{2}$ [1] to position-orientation space $M_{2} ≅ R^{2} \times S^{1}$ . This has n…

math.DG2025★ 3 cited

Crossing-Preserving Geodesic Tracking on Spherical Images

Nicky J. van den Berg, Finn M. Sherry, Tos T. J. M. Berendschot +1

In image analysis one often encounters spherical images, for instance in retinal imaging. The behavior of the vessels in the retina is an indicator of several diseases. To automate…

math.DG2025★ 1 cited

Diffusion-Shock Filtering on the Space of Positions and Orientations

Finn M. Sherry, Kristina Schaefer, Remco Duits

We extend Regularised Diffusion-Shock (RDS) filtering from Euclidean space $R^{2}$ to the space of positions and orientations $M_{2} := R^{2} \times S^{1}$ . This…

math.DG2025

Orientation Scores should be a Piece of Cake

Finn M. Sherry, Chase van de Geijn, Erik J. Bekkers +1

We axiomatically derive a family of wavelets for an orientation score, lifting from position space $R^{2}$ to position and orientation space $R^{2} \times S^{1}$ , with f…

math.DG2025

Flow Matching on Lie Groups

Finn M. Sherry, Bart M. N. Smets

Flow Matching (FM) is a recent generative modelling technique: we aim to learn how to sample from distribution $X_{1}$ by flowing samples from some distribution $\mathfrak…