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Christopher A. Metzler
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From denoising to compressed sensing
CA Metzler, A Maleki, RG Baraniuk
IEEE Transactions on Information Theory 62 (9), 5117-5144, 2016
7362016
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
6752020
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
3152017
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
2352018
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
2012020
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
1582020
Unsupervised learning with Stein's unbiased risk estimator
CA Metzler, A Mousavi, R Heckel, RG Baraniuk
arXiv preprint arXiv:1805.10531, 2018
1112018
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
952016
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
892017
Depth from defocus with learned optics for imaging and occlusion-aware depth estimation
H Ikoma, CM Nguyen, CA Metzler, Y Peng, G Wetzstein
2021 IEEE International Conference on Computational Photography (ICCP), 1-12, 2021
842021
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
602015
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 7, 1-12, 2020
52*2020
NeuWS: Neural wavefront shaping for guidestar-free imaging through static and dynamic scattering media
BY Feng, H Guo, M Xie, V Boominathan, MK Sharma, A Veeraraghavan, ...
Science Advances 9 (26), eadg4671, 2023
472023
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
372018
Disambiguating monocular depth estimation with a single transient
M Nishimura, DB Lindell, C Metzler, G Wetzstein
European Conference on Computer Vision, 139-155, 2020
332020
Fourier ptychographic microscopy image stack reconstruction using implicit neural representations
H Zhou, BY Feng, H Guo, S Lin, M Liang, CA Metzler, C Yang
Optica 10 (12), 1679-1687, 2023
32*2023
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
292019
Roadmap on deep learning for microscopy
G Volpe, C Wählby, L Tian, M Hecht, A Yakimovich, K Monakhova, ...
ArXiv, 2023
212023
Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion
T Xiong, J Wu, B He, C Fermuller, Y Aloimonos, H Huang, C Metzler
8th Annual Conference on Robot Learning, 2024
17*2024
Turbugan: An adversarial learning approach to spatially-varying multiframe blind deconvolution with applications to imaging through turbulence
BY Feng, M Xie, CA Metzler
IEEE Journal on Selected Areas in Information Theory 3 (3), 543-556, 2022
172022
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Artikelen 1–20