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Books and Theses
- 2022
[b1]Tin Vlasic:
Adaptive compressive sensing in polynomial and shift-invariant spaces ; Adaptivno sažimajuće očitavanje u polinomnim i na pomak invarijantnim prostorima. University of Zagreb, Croatia, 2022
Journal Articles
- 2022
- [j3]Tin Vlasic
, Damir Sersic:
Single-pixel compressive imaging in shift-invariant spaces via exact wavelet frames. Signal Process. Image Commun. 105: 116702 (2022) - [j2]Tin Vlasic, Damir Sersic:
Sampling and Reconstruction of Sparse Signals in Shift-Invariant Spaces: Generalized Shannon's Theorem Meets Compressive Sensing. IEEE Trans. Signal Process. 70: 438-451 (2022) - 2020
- [j1]Tin Vlasic, Ivan Ralasic, Azra Tafro, Damir Sersic:
Spline-like Chebyshev polynomial model for compressive imaging. J. Vis. Commun. Image Represent. 66: 102731 (2020)
Conference and Workshop Papers
- 2023
- [c6]Tin Vlasic, Tomislav Matulic, Damir Sersic:
Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling. MIDL 2023: 1875-1894 - 2022
- [c5]Tin Vlasic, Hieu Nguyen, AmirEhsan Khorashadizadeh, Ivan Dokmanic:
Implicit Neural Representation for Mesh-Free Inverse Obstacle Scattering. IEEECONF 2022: 947-952 - 2021
- [c4]Tin Vlasic, Damir Sersic:
Multilevel Subsampling of Principal Component Projections for Adaptive Compressive Sensing. ISPA 2021: 29-35 - 2020
- [c3]Tin Vlasic, Damir Sersic:
Sub-Nyquist Sampling in Shift-Invariant Spaces. EUSIPCO 2020: 2284-2288 - [c2]K. Sever, Tin Vlasic, Damir Sersic:
A Realization of Adaptive Compressive Sensing System. MIPRO 2020: 152-157 - 2019
- [c1]Tin Vlasic, Jelena Ivankovic, Azra Tafro, Damir Sersic:
Spline-Like Chebyshev Polynomial Representation for Compressed Sensing. ISPA 2019: 135-140
Informal and Other Publications
- 2024
- [i5]Rafael Josip Penic, Tin Vlasic, Roland G. Huber, Yue Wan, Mile Sikic:
RiNALMo: General-Purpose RNA Language Models Can Generalize Well on Structure Prediction Tasks. CoRR abs/2403.00043 (2024) - 2023
- [i4]Tin Vlasic, Tomislav Matulic, Damir Sersic:
Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling. CoRR abs/2306.04664 (2023) - 2022
- [i3]Tin Vlasic, Hieu Nguyen, Ivan Dokmanic:
Implicit Neural Representation for Mesh-Free Inverse Obstacle Scattering. CoRR abs/2206.02027 (2022) - [i2]AmirEhsan Khorashadizadeh, Ali Aghababaei Harandi, Tin Vlasic, Hieu Nguyen, Ivan Dokmanic:
Deep Variational Inverse Scattering. CoRR abs/2212.04309 (2022) - 2020
- [i1]Tin Vlasic, Damir Sersic:
Sampling and Reconstruction of Sparse Signals in Shift-Invariant Spaces: Generalized Shannon's Theorem Meets Compressive Sensing. CoRR abs/2010.15618 (2020)
Coauthor Index
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