Zilverling

G. Pai PhD (Gautam)

Universitair docent
EEMCS-AM-MIA
Zilverling 2051
g.pai@utwente.nl
+31534896931
Visitekaartje

Expertises

  • Mathematics

    • Deep Learning Method
    • Neural Network
    • Convolutional Neural Network
    • PDE

  • Computer Science

    • Shape Correspondence
    • Manifold Learning

  • Engineering

    • Partial Differential Equation
    • Sparse Approximation

Organisaties

Publicaties

2025

Entropic Optimal Transport with Data-Driven Metrics on the Roto-Translation Group (2025)In Scale Space and Variational Methods in Computer Vision: 10th International Conference, SSVM 2025, Dartington, UK, May 18–22, 2025, Proceedings, Part II (pp. 350-363) (Lecture Notes in Computer Science; Vol. 15668). Springer. Pai, G., Bellaard, G., Sengers, R., Florack, L. & Duits, R.https://doi.org/10.1007/978-3-031-92369-2_27Loss function inversion for improved crack segmentation in steel bridges using a CNN framework (2025)Automation in construction, 170. Article 105896. Kompanets, A., Duits, R., Pai, G., Leonetti, D. & Snijder, H. H.https://doi.org/10.1016/j.autcon.2024.105896Optimal Transport on the Lie Group of Roto-translations (2025)SIAM journal on imaging sciences, 18(2), 789-821. Bon, D., Pai, G., Bellaard, G., Mula, O. & Duits, R.https://doi.org/10.1137/24M1641531

2024

Geodesic Tracking via New Data-Driven Connections of Cartan Type for Vascular Tree Tracking (2024)Journal of Mathematical Imaging and Vision, 66(2), 198-230. van den Berg, N. J., Smets, B. M. N., Pai, G., Mirebeau, J.-M. & Duits, R.https://doi.org/10.1007/s10851-023-01170-x

2023

Analysis of (sub-)Riemannian PDE-G-CNNs (2023)Journal of Mathematical Imaging and Vision, 65(6), 819-843. Bellaard, G., Bon, D. L. J., Pai, G., Smets, B. M. N. & Duits, R.https://doi.org/10.1007/s10851-023-01147-wFunctional Properties of PDE-Based Group Equivariant Convolutional Neural Networks: 6th International Conference on Geometric Science of Information, GSI 2023 (2023)[Other contribution › Other contribution]. Springer. Pai, G., Bellaard, G., Smets, B. M. N., Duits, R., Nielsen, F. & Barbaresco, F.https://doi.org/10.1007/978-3-031-38271-0_7Geometric Adaptations of PDE-G-CNNs (2023)In Scale Space and Variational Methods in Computer Vision: 9th International Conference, SSVM 2023, Santa Margherita di Pula, Italy, May 21–25, 2023, Proceedings (pp. 538-550). Springer. Bellaard, G., Pai, G., Oliván Bescós, J., Duits, R., Calatroni, L., Donatelli, M., Morigi, S., Prato, M. & Santacesaria, M.https://doi.org/10.1007/978-3-031-31975-4_41

2022

Deep Isometric Maps (2022)Image and vision computing, 123. Article 104461. Pai, G., Bronstein, A., Talmon, R. & Kimmel, R.https://doi.org/10.1016/j.imavis.2022.104461Implicit field supervision for robust non-rigid shape matching (2022)In European Conference on Computer Vision (pp. 344-362). Sundararaman, R., Pai, G. & Ovsjanikov, M.

Onderzoeksprofielen

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