Embedding Deep Learning in Inverse Scattering Problems. - Yash Sanghvi; Yaswanth Kalepu; Uday K. Khankhoje (IEEE Trans. Computational Imaging, 2020)

Reconstructing Dispersive Scatterers With Minimal Frequency Data. - Yaswanth Kalepu; Yash Sanghvi; Uday K. Khankhoje (IEEE Geosci. Remote. Sens. Lett., 2021)

Photon-Limited Deblurring Using Algorithm Unrolling. - Yash Sanghvi; Abhiram Gnanasambandan; Stanley H. Chan (ICASSP, 2022)

Photon Limited Non-Blind Deblurring Using Algorithm Unrolling. - Yash Sanghvi; Abhiram Gnanasambandam; Stanley H. Chan (IEEE Trans. Computational Imaging, 2022)

Photon-Limited Blind Deconvolution Using Unsupervised Iterative Kernel Estimation. - Yash Sanghvi; Abhiram Gnanasambandam; Zhiyuan Mao; Stanley H. Chan (IEEE Trans. Computational Imaging, 2022)

Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement. - Xue Zhang; Gene Cheung; Jiahao Pang; Yash Sanghvi; Abhiram Gnanasambandam; Stanley H. Chan (IEEE Trans. Image Process., 2022)

Structured Kernel Estimation for Photon-Limited Deconvolution. - Yash Sanghvi; Zhiyuan Mao; Stanley H. Chan (CVPR, 2023)

Kernel Diffusion: An Alternate Approach to Blind Deconvolution. - Yash Sanghvi; Yiheng Chi; Stanley H. Chan (ECCV (59), 2024)

The Secrets of Non-Blind Poisson Deconvolution. - Abhiram Gnanasambandam; Yash Sanghvi; Stanley H. Chan (IEEE Trans. Computational Imaging, 2024)