Single disperser design for coded aperture snapshot spectral imaging A Wagadarikar, R John, R Willett, D Brady Applied optics 47 (10), B44-B51, 2008 | 1030 | 2008 |
Single-shot compressive spectral imaging with a dual-disperser architecture ME Gehm, R John, DJ Brady, RM Willett, TJ Schulz Optics express 15 (21), 14013-14027, 2007 | 836 | 2007 |
Deep learning techniques for inverse problems in imaging G Ongie, A Jalal, CA Metzler, RG Baraniuk, AG Dimakis, R Willett IEEE Journal on Selected Areas in Information Theory 1 (1), 39-56, 2020 | 554 | 2020 |
This is SPIRAL-TAP: Sparse Poisson intensity reconstruction algorithms—theory and practice ZT Harmany, RF Marcia, RM Willett IEEE Transactions on Image Processing 21 (3), 1084-1096, 2011 | 373 | 2011 |
Poisson noise reduction with non-local PCA J Salmon, Z Harmany, CA Deledalle, R Willett Journal of mathematical imaging and vision 48, 279-294, 2014 | 364 | 2014 |
Platelets: a multiscale approach for recovering edges and surfaces in photon-limited medical imaging RM Willett, RD Nowak IEEE Transactions on Medical Imaging 22 (3), 332-350, 2003 | 336 | 2003 |
Backcasting: adaptive sampling for sensor networks R Willett, A Martin, R Nowak Proceedings of the 3rd international symposium on Information processing in …, 2004 | 319 | 2004 |
Compressed sensing for practical optical imaging systems: a tutorial RM Willett, RF Marcia, JM Nichols Optical Engineering 50 (7), 072601-072601-13, 2011 | 313 | 2011 |
Online convex optimization in dynamic environments EC Hall, RM Willett IEEE Journal of Selected Topics in Signal Processing 9 (4), 647-662, 2015 | 254 | 2015 |
Sparsity and structure in hyperspectral imaging: Sensing, reconstruction, and target detection RM Willett, MF Duarte, MA Davenport, RG Baraniuk IEEE signal processing magazine 31 (1), 116-126, 2013 | 212 | 2013 |
Faster rates in regression via active learning R Willett, R Nowak, R Castro Advances in Neural Information Processing Systems 18, 2005 | 195 | 2005 |
Compressed sensing performance bounds under Poisson noise M Raginsky, RM Willett, ZT Harmany, RF Marcia IEEE Transactions on Signal Processing 58 (8), 3990-4002, 2010 | 185 | 2010 |
Compressive coded aperture superresolution image reconstruction RF Marcia, RM Willett 2008 IEEE international conference on acoustics, speech and signal …, 2008 | 170 | 2008 |
Multiscale Poisson intensity and density estimation RM Willett, RD Nowak IEEE Transactions on Information Theory 53 (9), 3171-3187, 2007 | 170 | 2007 |
Deep equilibrium architectures for inverse problems in imaging D Gilton, G Ongie, R Willett IEEE Transactions on Computational Imaging 7, 1123-1133, 2021 | 165 | 2021 |
Estimating inhomogeneous fields using wireless sensor networks R Nowak, U Mitra, R Willett IEEE Journal on Selected Areas in Communications 22 (6), 999-1006, 2004 | 162 | 2004 |
Neumann networks for linear inverse problems in imaging D Gilton, G Ongie, R Willett IEEE Transactions on Computational Imaging 6, 328-343, 2019 | 153 | 2019 |
Change-point detection for high-dimensional time series with missing data Y Xie, J Huang, R Willett IEEE Journal of Selected Topics in Signal Processing 7 (1), 12-27, 2012 | 150 | 2012 |
A function space view of bounded norm infinite width relu nets: The multivariate case G Ongie, R Willett, D Soudry, N Srebro arXiv preprint arXiv:1910.01635, 2019 | 145 | 2019 |
Compressive coded aperture imaging RF Marcia, ZT Harmany, RM Willett Computational Imaging VII 7246, 106-118, 2009 | 135 | 2009 |