Christopher A. Metzler
Orcid: 0000-0001-6827-7207Affiliations:
- University of Maryland, College Park, Department of Computer Science, MD, USA
- Rice University, Houston, TX, USA (PhD 2019)
According to our database1,
Christopher A. Metzler
authored at least 44 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on cs.umd.edu
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on orcid.org
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Bibliography
2024
CoRR, 2024
CoRR, 2024
2023
ConVRT: Consistent Video Restoration Through Turbulence with Test-time Optimization of Neural Video Representations.
CoRR, 2023
CoRR, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023
2022
IEEE J. Sel. Areas Inf. Theory, September, 2022
TurbuGAN: An Adversarial Learning Approach to Spatially-Varying Multiframe Blind Deconvolution With Applications to Imaging Through Turbulence.
IEEE J. Sel. Areas Inf. Theory, September, 2022
CoRR, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022
2021
Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path.
IEEE Trans. Computational Imaging, 2021
Depth from Defocus with Learned Optics for Imaging and Occlusion-aware Depth Estimation.
Proceedings of the IEEE International Conference on Computational Photography, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Deep S<sup>3</sup>PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models.
Proceedings of the IEEE International Conference on Acoustics, 2021
Suremap: Predicting Uncertainty in Cnn-Based Image Reconstructions Using Stein's Unbiased Risk Estimate.
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Inverse Scattering via Transmission Matrices: Broadband Illumination and Fast Phase Retrieval Algorithms.
IEEE Trans. Computational Imaging, 2020
IEEE J. Sel. Areas Inf. Theory, 2020
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk Estimate.
CoRR, 2020
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020
2019
Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path at Long Standoff Distances.
CoRR, 2019
2018
Proceedings of the 35th International Conference on Machine Learning, 2018
An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing.
Proceedings of the Latent Variable Analysis and Signal Separation, 2018
2017
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Coherent inverse scattering via transmission matrices: Efficient phase retrieval algorithms and a public dataset.
Proceedings of the 2017 IEEE International Conference on Computational Photography, 2017
2016
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
2015
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015
Dynamic model generation for application of compressed sensing to cryo-electron tomography reconstruction.
Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015
Iterative reconstruction from limited angle, limited view projections for cryo-electron tomography.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015