Deconvolution in Photon-Limited Scenes

1. Yash Sanghvi, Zhiyuan Mao, Stanley H Chan, “Structured Kernel Estimation for Photon-Limited Deconvolution”, accepted at CVPR 2023
   [webpage] [arxiv] [code] [video] [slides]
2. Yash Sanghvi, Abhiram Gnanasambandam, Zhiyuan Mao, Stanley H Chan, “Photon Limited Blind Deconvolution Using Unsupervised Iterative Kernel Estimation”, IEEE Transactions on Computational Imaging
   [link] [arxiv] [code]
3. Yash Sanghvi, Abhiram Gnanasambandam, Stanley H Chan, “Photon Limited Non-Blind Deblurring Using Algorithm Unrolling”, IEEE Transactions on Computational Imaging
   [webpage] [dataset]
   [arxiv] [code] [video] [slides]

Inverse Scattering

1. Yash Sanghvi, Yaswanth Kalepu, and Uday Khankhoje, “Embedding Deep Learning in Inverse Scattering Problems”, IEEE Transactions on Computational Imaging
   [link] [code] [slides] [press]
2. Yaswanth Kalepu, Yash Sanghvi, and Uday Khankhoje, “Reconstructing dispersive scatterers with minimal frequency data”, IEEE Geoscience and Remote Sensing Letters
   [link]
3. Yash Sanghvi, Hrishitosh Bisht, Uday K. Khankhoje, V. M. Gadre, and V. Kulkarni, “Iteratively reweighted l1-l2 norm minimization using wavelets in inverse scattering”, Journal of Optical Society of America
   [link]

Miscellaneous

1. Xue Zhang, Gene Cheung, Jiahao Pang, Yash Sanghvi, Abhiram Gnanasambandam, and Stanley H Chan, “Graph-Based Depth Denoising & Dequantization for Point Cloud Enhancement”, IEEE Transactions on Image Processing
   [link]