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ORCIDChristopher A. Metzler
Person information
- affiliation: University of Maryland, College Park, Department of Computer Science, MD, USA
- affiliation (PhD 2019): Rice University, Houston, TX, USA
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2020 – today
- 2024
[i26]Mohamad Qadri, Kevin Zhang, Akshay Hinduja, Michael Kaess, Adithya Pediredla, Christopher A. Metzler:
AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion. CoRR abs/2402.03309 (2024)- [i25]Matthew A. Chan, Maria J. Molina, Christopher A. Metzler:
Hyper-Diffusion: Estimating Epistemic and Aleatoric Uncertainty with a Single Model. CoRR abs/2402.03478 (2024) - [i24]Xi Chen, Zhewen Hou, Christopher A. Metzler, Arian Maleki, Shirin Jalali:
Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise. CoRR abs/2402.15635 (2024) - [i23]Matthew R. Ziemann, Christopher A. Metzler:
Adaptive LPD Radar Waveform Design with Generative Deep Learning. CoRR abs/2403.12254 (2024) - [i22]Jingxi Chen, Brandon Y. Feng, Haoming Cai, Mingyang Xie, Christopher A. Metzler, Cornelia Fermüller, Yiannis Aloimonos:
TimeRewind: Rewinding Time with Image-and-Events Video Diffusion. CoRR abs/2403.13800 (2024) - 2023
- [c21]Matthew R. Ziemann, Christopher A. Metzler:
Adaptive LPD Radar Waveform Design with Generative Adversarial Neural Networks. ACSSC 2023: 1039-1043 - [c20]Sachin Shah, Sakshum Kulshrestha, Christopher A. Metzler:
TiDy-PSFs: Computational Imaging with Time-Averaged Dynamic Point-Spread-Functions. ICCV 2023: 10623-10633 - [i21]Matthew A. Chan
, Sean I. Young, Christopher A. Metzler:
SUD2: Supervision by Denoising Diffusion Models for Image Reconstruction. CoRR abs/2303.09642 (2023) - [i20]Sachin Shah, Sakshum Kulshrestha, Christopher A. Metzler:
TiDy-PSFs: Computational Imaging with Time-Averaged Dynamic Point-Spread-Functions. CoRR abs/2303.17583 (2023) - [i19]Hadi Alzayer, Kevin Zhang, Brandon Y. Feng, Christopher A. Metzler, Jia-Bin Huang:
Seeing the World through Your Eyes. CoRR abs/2306.09348 (2023) - [i18]Mingyang Xie, Matthew A. Chan, Christopher A. Metzler:
Snapshot High Dynamic Range Imaging with a Polarization Camera. CoRR abs/2308.08094 (2023) - [i17]Kevin Zhang, Sakshum Kulshrestha, Christopher A. Metzler:
A Scalable Training Strategy for Blind Multi-Distribution Noise Removal. CoRR abs/2310.20064 (2023) - [i16]Haoming Cai, Jingxi Chen, Brandon Y. Feng, Weiyun Jiang, Mingyang Xie, Kevin Zhang, Ashok Veeraraghavan, Christopher A. Metzler:
ConVRT: Consistent Video Restoration Through Turbulence with Test-time Optimization of Neural Video Representations. CoRR abs/2312.04679 (2023) - 2022
- [j6]Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter:
Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery. IEEE J. Sel. Areas Inf. Theory 3(3): 528-542 (2022) - [j5]Brandon Y. Feng, Mingyang Xie, Christopher A. Metzler:
TurbuGAN: An Adversarial Learning Approach to Spatially-Varying Multiframe Blind Deconvolution With Applications to Imaging Through Turbulence. IEEE J. Sel. Areas Inf. Theory 3(3): 543-556 (2022) - [c19]Brandon Y. Feng, Mingyang Xie, Christopher A. Metzler:
Imaging Through Turbulence with GANs. IEEECONF 2022: 509-513 - [c18]Matthew R. Ziemann, Christopher A. Metzler:
Transformers for Robust Radar Waveform Classification. IEEECONF 2022: 759-763 - [c17]Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter:
Expectation Consistent Plug-and-Play for MRI. ICASSP 2022: 8667-8671 - [i15]Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter:
Expectation Consistent Plug-and-Play for MRI. CoRR abs/2202.05820 (2022) - [i14]Brandon Y. Feng, Mingyang Xie, Christopher A. Metzler:
TurbuGAN: An Adversarial Learning Approach to Spatially-Varying Multiframe Blind Deconvolution with Applications to Imaging Through Turbulence. CoRR abs/2203.06764 (2022) - [i13]Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter:
Denoising Generalized Expectation-Consistent Approximation for MRI Image Recovery. CoRR abs/2206.05049 (2022) - [i12]Kevin Zhang, Mingyang Xie, Maharshi Gor, Yi-Ting Chen, Yvonne Zhou, Christopher A. Metzler:
MetaDIP: Accelerating Deep Image Prior with Meta Learning. CoRR abs/2209.08452 (2022) - [i11]Rushil Joshi, Ethan Adams, Matthew R. Ziemann, Christopher A. Metzler:
Weakly-Supervised Semantic Segmentation of Ships Using Thermal Imagery. CoRR abs/2212.13170 (2022) - 2021
- [j4]Christopher A. Metzler, David B. Lindell, Gordon Wetzstein:
Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path. IEEE Trans. Computational Imaging 7: 1-12 (2021) - [c16]Christopher A. Metzler, Gordon Wetzstein:
Deep S3PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models. ICASSP 2021: 1370-1374 - [c15]Ruangrawee Kitichotkul, Christopher A. Metzler, Frank Ong, Gordon Wetzstein:
Suremap: Predicting Uncertainty in Cnn-Based Image Reconstructions Using Stein's Unbiased Risk Estimate. ICASSP 2021: 1385-1389 - [c14]Christopher A. Metzler, Gordon Wetzstein:
D-VDAMP: Denoising-Based Approximate Message Passing for Compressive MRI. ICASSP 2021: 1410-1414 - [c13]Hayato Ikoma, Cindy M. Nguyen, Christopher A. Metzler, Yifan Peng, Gordon Wetzstein:
Depth from Defocus with Learned Optics for Imaging and Occlusion-aware Depth Estimation. ICCP 2021: 1-12 - 2020
- [j3]Gregory Ongie, Ajil Jalal, Christopher A. Metzler, Richard G. Baraniuk, Alexandros G. Dimakis, Rebecca Willett:
Deep Learning Techniques for Inverse Problems in Imaging. IEEE J. Sel. Areas Inf. Theory 1(1): 39-56 (2020) - [j2]Manoj Kumar Sharma, Christopher A. Metzler, Sudarshan Nagesh, Richard G. Baraniuk, Oliver Cossairt, Ashok Veeraraghavan:
Inverse Scattering via Transmission Matrices: Broadband Illumination and Fast Phase Retrieval Algorithms. IEEE Trans. Computational Imaging 6: 95-108 (2020) - [c12]Gordon Wetzstein, Hayato Ikoma, Christopher A. Metzler, Yifan Peng:
Deep Optics: Learning Cameras and Optical Computing Systems. ACSSC 2020: 1313-1315 - [c11]Christopher A. Metzler, Hayato Ikoma, Yifan Peng, Gordon Wetzstein:
Deep Optics for Single-Shot High-Dynamic-Range Imaging. CVPR 2020: 1372-1382 - [c10]Mark Nishimura, David B. Lindell, Christopher A. Metzler, Gordon Wetzstein:
Disambiguating Monocular Depth Estimation with a Single Transient. ECCV (21) 2020: 139-155 - [i10]Christopher A. Metzler, Gordon Wetzstein:
Deep S3PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models. CoRR abs/2002.05856 (2020) - [i9]Gregory Ongie, Ajil Jalal, Christopher A. Metzler, Richard G. Baraniuk, Alexandros G. Dimakis, Rebecca Willett:
Deep Learning Techniques for Inverse Problems in Imaging. CoRR abs/2005.06001 (2020) - [i8]Ruangrawee Kitichotkul, Christopher A. Metzler, Frank Ong, Gordon Wetzstein:
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk Estimate. CoRR abs/2010.13214 (2020)
2010 – 2019
- 2019
- [i7]Christopher A. Metzler, Hayato Ikoma, Yifan Peng, Gordon Wetzstein:
Deep Optics for Single-shot High-dynamic-range Imaging. CoRR abs/1908.00620 (2019) - [i6]Christopher A. Metzler, David B. Lindell, Gordon Wetzstein:
Keyhole Imaging: Non-Line-of-Sight Imaging and Tracking of Moving Objects Along a Single Optical Path at Long Standoff Distances. CoRR abs/1912.06727 (2019) - 2018
- [c9]Christopher A. Metzler, Philip Schniter, Richard G. Baraniuk:
An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing. LVA/ICA 2018: 395-406 - [c8]Christopher A. Metzler, Philip Schniter, Ashok Veeraraghavan, Richard G. Baraniuk:
prDeep: Robust Phase Retrieval with a Flexible Deep Network. ICML 2018: 3498-3507 - [i5]Christopher A. Metzler, Philip Schniter, Ashok Veeraraghavan, Richard G. Baraniuk:
prDeep: Robust Phase Retrieval with Flexible Deep Neural Networks. CoRR abs/1803.00212 (2018) - [i4]Christopher A. Metzler, Ali Mousavi, Reinhard Heckel, Richard G. Baraniuk:
Unsupervised Learning with Stein's Unbiased Risk Estimator. CoRR abs/1805.10531 (2018) - [i3]Christopher A. Metzler, Philip Schniter, Richard G. Baraniuk:
An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing. CoRR abs/1806.10079 (2018) - 2017
- [c7]Christopher A. Metzler, Manoj Kumar Sharma, Sudarshan Nagesh, Richard G. Baraniuk, Oliver Cossairt, Ashok Veeraraghavan:
Coherent inverse scattering via transmission matrices: Efficient phase retrieval algorithms and a public dataset. ICCP 2017: 51-66 - [c6]Christopher A. Metzler, Ali Mousavi, Richard G. Baraniuk:
Learned D-AMP: Principled Neural Network based Compressive Image Recovery. NIPS 2017: 1772-1783 - [i2]Christopher A. Metzler, Ali Mousavi, Richard G. Baraniuk:
Learned D-AMP: A Principled CNN-based Compressive Image Recovery Algorithm. CoRR abs/1704.06625 (2017) - 2016
- [j1]Christopher A. Metzler, Arian Maleki, Richard G. Baraniuk:
From Denoising to Compressed Sensing. IEEE Trans. Inf. Theory 62(9): 5117-5144 (2016) - [c5]Christopher A. Metzler, Arian Maleki, Richard G. Baraniuk:
BM3D-PRGAMP: Compressive phase retrieval based on BM3D denoising. ICIP 2016: 2504-2508 - [c4]Christopher A. Metzler, Arian Maleki, Richard G. Baraniuk:
BM3D-PRGAMP: Compressive phase retrieval based on BM3D denoising. ICME Workshops 2016: 1-2 - 2015
- [c3]Sally L. Wood, Ernesto Fontenla, Christopher A. Metzler, Wah Chiu, Richard G. Baraniuk:
Iterative reconstruction from limited angle, limited view projections for cryo-electron tomography. ACSSC 2015: 760-764 - [c2]Sally L. Wood, Ernesto Fontenla, Christopher A. Metzler, Wah Chiu, Richard G. Baraniuk:
Dynamic model generation for application of compressed sensing to cryo-electron tomography reconstruction. SP/SPE 2015: 226-231 - [c1]Christopher A. Metzler, Arian Maleki, Richard G. Baraniuk:
BM3D-AMP: A new image recovery algorithm based on BM3D denoising. ICIP 2015: 3116-3120 - 2014
- [i1]Christopher A. Metzler, Arian Maleki, Richard G. Baraniuk:
From Denoising to Compressed Sensing. CoRR abs/1406.4175 (2014)
Coauthor Index
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last updated on 2024-04-12 18:26 CEST by the dblp team
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