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Yash Sanghvi
Yash Sanghvi
Graduate Research Assistant, Purdue University
Verified email at purdue.edu - Homepage
Title
Cited by
Cited by
Year
Embedding Deep Learning in Inverse Scattering Problems
Y Sanghvi, Y Kalepu, UK Khankhoje
IEEE Transactions on Computational Imaging 6, 46-56, 2019
1172019
Photon Limited Non-Blind Deblurring Using Algorithm Unrolling
Y Sanghvi, A Gnanasambandam, SH Chan
IEEE Transactions on Computational Imaging 8, 851-864, 2022
19*2022
Photon-limited blind deconvolution using unsupervised iterative kernel estimation
Y Sanghvi, A Gnanasambandam, Z Mao, SH Chan
IEEE Transactions on Computational Imaging 8, 1051-1062, 2022
72022
Iteratively reweighted ℓ1−ℓ2 norm minimization using wavelets in inverse scattering: publisher’s note
Y Sanghvi, H Bisht, UK Khankhoje, VM Gadre, SV Kulkarni
JOSA A 37 (5), 889-889, 2020
6*2020
Reconstructing dispersive scatterers with minimal frequency data
Y Kalepu, Y Sanghvi, UK Khankhoje
IEEE Geoscience and Remote Sensing Letters 18 (1), 62-66, 2020
62020
Structured kernel estimation for photon-limited deconvolution
Y Sanghvi, Z Mao, SH Chan
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
42023
Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement
X Zhang, G Cheung, J Pang, Y Sanghvi, A Gnanasambandam, SH Chan
IEEE Transactions on Image Processing 31, 6863-6878, 2022
32022
Kernel Estimation Approaches to Blind Deconvolution
Y Sanghvi
Purdue University Graduate School, 2024
2024
The Secrets of Non-Blind Poisson Deconvolution
A Gnanasambandam, Y Sanghvi, SH Chan
IEEE Transactions on Computational Imaging, 2024
2024
Kernel Diffusion: An Alternate Approach to Blind Deconvolution
Y Sanghvi, Y Chi, SH Chan
arXiv preprint arXiv:2312.02319, 2023
2023
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Articles 1–10