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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
1392019
Photon limited non-blind deblurring using algorithm unrolling
Y Sanghvi, A Gnanasambandam, SH Chan
IEEE Transactions on Computational Imaging 8, 851-864, 2022
242022
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
102022
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
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
7*2020
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
62023
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
Kernel diffusion: An alternate approach to blind deconvolution
Y Sanghvi, Y Chi, SH Chan
European Conference on Computer Vision, 1-20, 2025
32025
Photon-limited deblurring using algorithm unrolling
Y Sanghvi, A Gnanasambandan, SH Chan
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
32022
The Secrets of Non-Blind Poisson Deconvolution
A Gnanasambandam, Y Sanghvi, SH Chan
IEEE Transactions on Computational Imaging, 2024
22024
Kernel Estimation Approaches to Blind Deconvolution
Y Sanghvi
Purdue University Graduate School, 2024
2024
Embedding Deep Learning in Inverse Scattering Solutions
Y Sanghvi, Y Kalepu, UK Khankhoje
2019 URSI Asia-Pacific Radio Science Conference (AP-RASC), 1-1, 2019
2019
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