Christopher A. Metzler

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 55

Top Topics

Depth Estimation

High Dynamic Range

Recovery Algorithm

Top Venues

IEEE J. Sel. Areas Inf. Theory

Publications

Matthew A. Chan, Maria J. Molina, Christopher A. Metzler
Hyper-Diffusion: Estimating Epistemic and Aleatoric Uncertainty with a Single Model. CoRR (2024)
Mingyang Xie, Haiyun Guo, Brandon Y. Feng, Lingbo Jin, Ashok Veeraraghavan, Christopher A. Metzler
WaveMo: Learning Wavefront Modulations to See Through Scattering. CoRR (2024)
Sachin Shah, Naitri Rajyaguru, Chahat Deep Singh, Christopher A. Metzler, Yiannis Aloimonos
CodedVO: Coded Visual Odometry. CoRR (2024)
Mohamad Qadri, Kevin Zhang, Akshay Hinduja, Michael Kaess, Adithya Pediredla, Christopher A. Metzler
AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion. CoRR (2024)
Tianyi Xiong, Jiayi Wu, Botao He, Cornelia Fermüller, Yiannis Aloimonos, Heng Huang, Christopher A. Metzler
Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion. CoRR (2024)
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 (2024)
Ziyuan Qu, Omkar Vengurlekar, Mohamad Qadri, Kevin Zhang, Michael Kaess, Christopher A. Metzler, Suren Jayasuriya, Adithya Pediredla
Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion. CoRR (2024)
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 (2024)
Mohamad Qadri, Kevin Zhang, Akshay Hinduja, Michael Kaess, Adithya Pediredla, Christopher A. Metzler
AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion. SIGGRAPH (Conference Paper Track) (2024)
Matthew R. Ziemann, Christopher A. Metzler
Adaptive LPD Radar Waveform Design with Generative Deep Learning. CoRR (2024)
Sachin Shah, Matthew Albert Chan, Haoming Cai, Jingxi Chen, Sakshum Kulshrestha, Chahat Deep Singh, Yiannis Aloimonos, Christopher A. Metzler
CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras. CoRR (2024)
Kevin Zhang, Sakshum Kulshrestha, Christopher A. Metzler
A Scalable Training Strategy for Blind Multi-Distribution Noise Removal. CoRR (2023)
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 (2023)
Matthew R. Ziemann, Christopher A. Metzler
Adaptive LPD Radar Waveform Design with Generative Adversarial Neural Networks. ACSSC (2023)
Sachin Shah, Sakshum Kulshrestha, Christopher A. Metzler
TiDy-PSFs: Computational Imaging with Time-Averaged Dynamic Point-Spread-Functions. CoRR (2023)
Mingyang Xie, Matthew A. Chan, Christopher A. Metzler
Snapshot High Dynamic Range Imaging with a Polarization Camera. CoRR (2023)
Hadi Alzayer, Kevin Zhang, Brandon Y. Feng, Christopher A. Metzler, Jia-Bin Huang
Seeing the World through Your Eyes. CoRR (2023)
Matthew A. Chan, Sean I. Young, Christopher A. Metzler
: Supervision by Denoising Diffusion Models for Image Reconstruction. CoRR (2023)
Sachin Shah, Sakshum Kulshrestha, Christopher A. Metzler
TiDy-PSFs: Computational Imaging with Time-Averaged Dynamic Point-Spread-Functions. ICCV (2023)
Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter
Denoising Generalized Expectation-Consistent Approximation for MRI Image Recovery. CoRR (2022)
Rushil Joshi, Ethan Adams, Matthew Ziemann, Christopher A. Metzler
Weakly-Supervised Semantic Segmentation of Ships Using Thermal Imagery. CoRR (2022)
Kevin Zhang, Mingyang Xie, Maharshi Gor, Yi-Ting Chen, Yvonne Zhou, Christopher A. Metzler
MetaDIP: Accelerating Deep Image Prior with Meta Learning. CoRR (2022)
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) (2022)
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) (2022)
Matthew R. Ziemann, Christopher A. Metzler
Transformers for Robust Radar Waveform Classification. IEEECONF (2022)
Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter
Expectation Consistent Plug-and-Play for MRI. CoRR (2022)
Brandon Y. Feng, Mingyang Xie, Christopher A. Metzler
Imaging Through Turbulence with GANs. IEEECONF (2022)
Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter
Expectation Consistent Plug-and-Play for MRI. ICASSP (2022)
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 (2022)
Christopher A. Metzler, Gordon Wetzstein
PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models. ICASSP (2021)
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)
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)
Christopher A. Metzler, Gordon Wetzstein
D-VDAMP: Denoising-Based Approximate Message Passing for Compressive MRI. ICASSP (2021)
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 (2021)
Mark Nishimura, David B. Lindell, Christopher A. Metzler, Gordon Wetzstein
Disambiguating Monocular Depth Estimation with a Single Transient. ECCV (21) (2020)
Gregory Ongie, Ajil Jalal, Christopher A. Metzler, Richard G. Baraniuk, Alexandros G. Dimakis, Rebecca Willett
Deep Learning Techniques for Inverse Problems in Imaging. CoRR (2020)
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) (2020)
Gordon Wetzstein, Hayato Ikoma, Christopher A. Metzler, Yifan Peng
Deep Optics: Learning Cameras and Optical Computing Systems. ACSSC (2020)
Christopher A. Metzler, Hayato Ikoma, Yifan Peng, Gordon Wetzstein
Deep Optics for Single-Shot High-Dynamic-Range Imaging. CVPR (2020)
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 (2020)
Ruangrawee Kitichotkul, Christopher A. Metzler, Frank Ong, Gordon Wetzstein
SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk Estimate. CoRR (2020)
Christopher A. Metzler, Gordon Wetzstein
PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models. CoRR (2020)
Christopher A. Metzler, Hayato Ikoma, Yifan Peng, Gordon Wetzstein
Deep Optics for Single-shot High-dynamic-range Imaging. CoRR (2019)
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 (2019)
Christopher A. Metzler, Ali Mousavi, Reinhard Heckel, Richard G. Baraniuk
Unsupervised Learning with Stein's Unbiased Risk Estimator. CoRR (2018)
Christopher A. Metzler, Philip Schniter, Ashok Veeraraghavan, Richard G. Baraniuk
prDeep: Robust Phase Retrieval with Flexible Deep Neural Networks. CoRR (2018)
Christopher A. Metzler, Philip Schniter, Richard G. Baraniuk
An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing. CoRR (2018)
Christopher A. Metzler, Philip Schniter, Ashok Veeraraghavan, Richard G. Baraniuk
prDeep: Robust Phase Retrieval with a Flexible Deep Network. ICML (2018)
Christopher A. Metzler, Philip Schniter, Richard G. Baraniuk
An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing. LVA/ICA (2018)
Christopher A. Metzler, Ali Mousavi, Richard G. Baraniuk
Learned D-AMP: A Principled CNN-based Compressive Image Recovery Algorithm. CoRR (2017)
Christopher A. Metzler, Ali Mousavi, Richard G. Baraniuk
Learned D-AMP: Principled Neural Network based Compressive Image Recovery. NIPS (2017)
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)
Christopher A. Metzler, Arian Maleki, Richard G. Baraniuk
From Denoising to Compressed Sensing. IEEE Trans. Inf. Theory 62 (9) (2016)
Christopher A. Metzler, Arian Maleki, Richard G. Baraniuk
BM3D-PRGAMP: Compressive phase retrieval based on BM3D denoising. ICME Workshops (2016)
Christopher A. Metzler, Arian Maleki, Richard G. Baraniuk
BM3D-PRGAMP: Compressive phase retrieval based on BM3D denoising. ICIP (2016)
Christopher A. Metzler, Arian Maleki, Richard G. Baraniuk
BM3D-AMP: A new image recovery algorithm based on BM3D denoising. ICIP (2015)
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)
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)
Christopher A. Metzler, Arian Maleki, Richard G. Baraniuk
From Denoising to Compressed Sensing. CoRR (2014)