Christopher A. Metzler
Christopher A. Metzler
Verified email at - Homepage
Cited by
Cited by
From denoising to compressed sensing
CA Metzler, A Maleki, RG Baraniuk
IEEE Transactions on Information Theory 62 (9), 5117-5144, 2016
Learned D-AMP: Principled Neural Network Based Compressive Image Recovery
C Metzler, A Mousavi, R Baraniuk
Advances in Neural Information Processing Systems, 1770-1781, 2017
prDeep: Robust Phase Retrieval with a Flexible Deep Network
C Metzler, P Schniter, A Veeraraghavan, R Baraniuk
International Conference on Machine Learning, 3498-3507, 2018
BM3D-PRGAMP: Compressive phase retrieval based on BM3D denoising
CA Metzler, A Maleki, RG Baraniuk
2016 IEEE International Conference on Image Processing (ICIP), 2504-2508, 2016
Coherent inverse scattering via transmission matrices: Efficient phase retrieval algorithms and a public dataset
CA Metzler, MK Sharma, S Nagesh, RG Baraniuk, O Cossairt, ...
2017 IEEE International Conference on Computational Photography (ICCP), 1-16, 2017
BM3D-AMP: A new image recovery algorithm based on BM3D denoising
CA Metzler, A Maleki, RG Baraniuk
2015 IEEE International Conference on Image Processing (ICIP), 3116-3120, 2015
Deep learning techniques for inverse problems in imaging
G Ongie, A Jalal, CAMRG Baraniuk, AG Dimakis, R Willett
IEEE Journal on Selected Areas in Information Theory, 2020
Unsupervised Learning with Stein's Unbiased Risk Estimator
CA Metzler, A Mousavi, R Heckel, RG Baraniuk
arXiv preprint arXiv:1805.10531, 2018
Deep-inverse correlography: towards real-time high-resolution non-line-of-sight imaging
CA Metzler, F Heide, P Rangarajan, MM Balaji, A Viswanath, ...
Optica 7 (1), 63-71, 2020
Deep optics for single-shot high-dynamic-range imaging
CA Metzler, H Ikoma, Y Peng, G Wetzstein
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Imaging through extreme scattering in extended dynamic media
AV Kanaev, AT Watnik, DF Gardner, C Metzler, KP Judd, P Lebow, ...
Optics letters 43 (13), 3088-3091, 2018
Inverse scattering via transmission matrices: Broadband illumination and fast phase retrieval algorithms
MK Sharma, CA Metzler, S Nagesh, RG Baraniuk, O Cossairt, ...
IEEE Transactions on Computational Imaging 6, 95-108, 2019
Optimal recovery from compressive measurements via denoising-based approximate message passing
CA Metzler, A Maleki, RG Baraniuk
2015 International Conference on Sampling Theory and Applications (SampTA …, 2015
Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path
CA Metzler, DB Lindell, G Wetzstein
IEEE Transactions on Computational Imaging, 2020
An expectation-maximization approach to tuning generalized vector approximate message passing
CA Metzler, P Schniter, RG Baraniuk
International Conference on Latent Variable Analysis and Signal Separation …, 2018
Deep SPR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models
CA Metzler, G Wetzstein
arXiv preprint arXiv:2002.05856, 2020
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk Estimate
R Kitichotkul, CA Metzler, F Ong, G Wetzstein
arXiv preprint arXiv:2010.13214, 2020
D-VDAMP: Denoising-based Approximate Message Passing for Compressive MRI
CA Metzler, G Wetzstein
arXiv preprint arXiv:2010.13211, 2020
Disambiguating Monocular Depth Estimation with a Single Transient
M Nishimura, DB Lindell, C Metzler, G Wetzstein
European Conference on Computer Vision, 139-155, 2020
Real-Time Unknown-View Tomography Using Recurrent Neural Networks with Applications to Keyhole Imaging
CA Metzler, G Wetzstein
Computational Optical Sensing and Imaging, CTh5C. 1, 2020
The system can't perform the operation now. Try again later.
Articles 1–20