An inexact matching approach for the comparison of plane curves with general elastic metrics. - Yashil Sukurdeep; Martin Bauer 004; Nicolas Charon (ACSSC, 2019)

Supervised Deep Learning of Elastic SRV Distances on the Shape Space of Curves. - Emmanuel Hartman; Yashil Sukurdeep; Nicolas Charon; Eric Klassen; Martin Bauer 004 (CVPR Workshops, 2021)

A New Variational Model for Shape Graph Registration with Partial Matching Constraints. - Yashil Sukurdeep; Martin Bauer 004; Nicolas Charon (SIAM J. Imaging Sci., 2022)

Learning the Night Sky with Deep Generative Priors. - Fausto Navarro; Daniel Hall; Tamas Budavari; Yashil Sukurdeep (CoRR, 2023)

Elastic Shape Analysis of Surfaces with Second-Order Sobolev Metrics: A Comprehensive Numerical Framework. - Emmanuel Hartman; Yashil Sukurdeep; Eric Klassen; Nicolas Charon; Martin Bauer 004 (Int. J. Comput. Vis., 2023)

AstroClearNet: Deep image prior for multi-frame astronomical image restoration. - Yashil Sukurdeep; Fausto Navarro; Tamás Budavári (CoRR, 2025)