| From denoising to compressed sensing CA Metzler, A Maleki, RG Baraniuk IEEE Transactions on Information Theory 62 (9), 5117-5144, 2016 | 402 | 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 | 134 | 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 | 67 | 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 | 44 | 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 | 43 | 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 | 38 | 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 | 37 | 2020 |
| Unsupervised Learning with Stein's Unbiased Risk Estimator CA Metzler, A Mousavi, R Heckel, RG Baraniuk arXiv preprint arXiv:1805.10531, 2018 | 27 | 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 | 25 | 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 | 17 | 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 | 11 | 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 | 9 | 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 | 8 | 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 | 5* | 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 | 3 | 2018 |
| Deep SPR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models CA Metzler, G Wetzstein arXiv preprint arXiv:2002.05856, 2020 | 2 | 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 | 1 | 2020 |
| D-VDAMP: Denoising-based Approximate Message Passing for Compressive MRI CA Metzler, G Wetzstein arXiv preprint arXiv:2010.13211, 2020 | 1 | 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 | 1 | 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 | 1 | 2020 |
