Christopher A. Metzler

According to our database, Christopher A. Metzler authored at least 50 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Scalable Training Strategy for Blind Multi-Distribution Noise Removal.

Kevin Zhang, Sakshum Kulshrestha, Christopher A. Metzler

IEEE Trans. Image Process., 2024

CodedVO: Coded Visual Odometry.

Sachin Shah, Naitri Rajyaguru, Chahat Deep Singh, Christopher A. Metzler, Yiannis Aloimonos

CoRR, 2024

Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion.

Tianyi Xiong, Jiayi Wu, Botao He, Cornelia Fermüller, Yiannis Aloimonos, Heng Huang, Christopher A. Metzler

CoRR, 2024

Z-Splat: Z-Axis Gaussian Splatting for Camera-Sonar Fusion.

Ziyuan Qu, Omkar Vengurlekar, Mohamad Qadri, Kevin Zhang, Michael Kaess, Christopher A. Metzler, Suren Jayasuriya, Adithya Pediredla

CoRR, 2024

TimeRewind: Rewinding Time with Image-and-Events Video Diffusion.

Jingxi Chen, Brandon Y. Feng, Haoming Cai, Mingyang Xie, Christopher A. Metzler, Cornelia Fermüller, Yiannis Aloimonos

CoRR, 2024

Adaptive LPD Radar Waveform Design with Generative Deep Learning.

Matthew R. Ziemann, Christopher A. Metzler

CoRR, 2024

Hyper-Diffusion: Estimating Epistemic and Aleatoric Uncertainty with a Single Model.

Matthew A. Chan, Maria J. Molina, Christopher A. Metzler

CoRR, 2024

AONeuS: A Neural Rendering Framework for Acoustic-Optical Sensor Fusion.

Mohamad Qadri, Kevin Zhang, Akshay Hinduja, Michael Kaess, Adithya Pediredla, Christopher A. Metzler

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise.

Xi Chen, Zhewen Hou, Christopher A. Metzler, Arian Maleki, Shirin Jalali

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Flash-Splat: 3D Reflection Removal with Flash Cues and Gaussian Splats.

Mingyang Xie, Haoming Cai, Sachin Shah, Yiran Xu, Brandon Y. Feng, Jiabin Huang, Christopher A. Metzler

Proceedings of the Computer Vision - ECCV 2024, 2024

WaveMo: Learning Wavefront Modulations to See Through Scattering.

Mingyang Xie, Haiyun Guo, Brandon Y. Feng, Lingbo Jin, Ashok Veeraraghavan, Christopher A. Metzler

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras.

Sachin Shah, Matthew A. Chan, Haoming Cai, Jingxi Chen, Sakshum Kulshrestha, Chahat Deep Singh, Yiannis Aloimonos, Christopher A. Metzler

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Seeing the World through Your Eyes.

Hadi Alzayer, Kevin Zhang, Brandon Y. Feng, Christopher A. Metzler, Jia-Bin Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

ConVRT: Consistent Video Restoration Through Turbulence with Test-time Optimization of Neural Video Representations.

Haoming Cai, Jingxi Chen, Brandon Y. Feng, Weiyun Jiang, Mingyang Xie, Kevin Zhang, Ashok Veeraraghavan, Christopher A. Metzler

CoRR, 2023

Snapshot High Dynamic Range Imaging with a Polarization Camera.

Mingyang Xie, Matthew A. Chan, Christopher A. Metzler

CoRR, 2023

SUD²: Supervision by Denoising Diffusion Models for Image Reconstruction.

Matthew A. Chan, Sean I. Young, Christopher A. Metzler

CoRR, 2023

TiDy-PSFs: Computational Imaging with Time-Averaged Dynamic Point-Spread-Functions.

Sachin Shah, Sakshum Kulshrestha, Christopher A. Metzler

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Adaptive LPD Radar Waveform Design with Generative Adversarial Neural Networks.

Matthew R. Ziemann, Christopher A. Metzler

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

Denoising Generalized Expectation-Consistent Approximation for MR Image Recovery.

Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter

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.

Brandon Y. Feng, Mingyang Xie, Christopher A. Metzler

IEEE J. Sel. Areas Inf. Theory, September, 2022

Weakly-Supervised Semantic Segmentation of Ships Using Thermal Imagery.

Rushil Joshi, Ethan Adams, Matthew R. Ziemann, Christopher A. Metzler

CoRR, 2022

MetaDIP: Accelerating Deep Image Prior with Meta Learning.

Kevin Zhang, Mingyang Xie, Maharshi Gor, Yi-Ting Chen, Yvonne Zhou, Christopher A. Metzler

CoRR, 2022

Denoising Generalized Expectation-Consistent Approximation for MRI Image Recovery.

Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter

CoRR, 2022

Expectation Consistent Plug-and-Play for MRI.

Saurav K. Shastri, Rizwan Ahmad, Christopher A. Metzler, Philip Schniter

Proceedings of the IEEE International Conference on Acoustics, 2022

Transformers for Robust Radar Waveform Classification.

Matthew R. Ziemann, Christopher A. Metzler

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

Imaging Through Turbulence with GANs.

Brandon Y. Feng, Mingyang Xie, Christopher A. Metzler

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.

Christopher A. Metzler, David B. Lindell, Gordon Wetzstein

IEEE Trans. Computational Imaging, 2021

Depth from Defocus with Learned Optics for Imaging and Occlusion-aware Depth Estimation.

Hayato Ikoma, Cindy M. Nguyen, Christopher A. Metzler, Yifan Peng, Gordon Wetzstein

Proceedings of the IEEE International Conference on Computational Photography, 2021

D-VDAMP: Denoising-Based Approximate Message Passing for Compressive MRI.

Christopher A. Metzler, Gordon Wetzstein

Proceedings of the IEEE International Conference on Acoustics, 2021

Deep S³PR: Simultaneous Source Separation and Phase Retrieval Using Deep Generative Models.

Christopher A. Metzler, Gordon Wetzstein

Proceedings of the IEEE International Conference on Acoustics, 2021

Suremap: Predicting Uncertainty in Cnn-Based Image Reconstructions Using Stein's Unbiased Risk Estimate.

Ruangrawee Kitichotkul, Christopher A. Metzler, Frank Ong, Gordon Wetzstein

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Inverse Scattering via Transmission Matrices: Broadband Illumination and Fast Phase Retrieval Algorithms.

Manoj Kumar Sharma, Christopher A. Metzler, Sudarshan Nagesh, Richard G. Baraniuk, Oliver Cossairt, Ashok Veeraraghavan

IEEE Trans. Computational Imaging, 2020

Deep Learning Techniques for Inverse Problems in Imaging.

Gregory Ongie, Ajil Jalal, Christopher A. Metzler, Richard G. Baraniuk, Alexandros G. Dimakis, Rebecca Willett

IEEE J. Sel. Areas Inf. Theory, 2020

SUREMap: Predicting Uncertainty in CNN-based Image Reconstruction Using Stein's Unbiased Risk Estimate.

Ruangrawee Kitichotkul, Christopher A. Metzler, Frank Ong, Gordon Wetzstein

CoRR, 2020

Disambiguating Monocular Depth Estimation with a Single Transient.

Mark Nishimura, David B. Lindell, Christopher A. Metzler, Gordon Wetzstein

Proceedings of the Computer Vision - ECCV 2020, 2020

Deep Optics for Single-Shot High-Dynamic-Range Imaging.

Christopher A. Metzler, Hayato Ikoma, Yifan Peng, Gordon Wetzstein

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Deep Optics: Learning Cameras and Optical Computing Systems.

Gordon Wetzstein, Hayato Ikoma, Christopher A. Metzler, Yifan Peng

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.

Christopher A. Metzler, David B. Lindell, Gordon Wetzstein

CoRR, 2019

2018

Unsupervised Learning with Stein's Unbiased Risk Estimator.

Christopher A. Metzler, Ali Mousavi, Reinhard Heckel, Richard G. Baraniuk

CoRR, 2018

prDeep: Robust Phase Retrieval with Flexible Deep Neural Networks.

Christopher A. Metzler, Philip Schniter, Ashok Veeraraghavan, Richard G. Baraniuk

CoRR, 2018

prDeep: Robust Phase Retrieval with a Flexible Deep Network.

Christopher A. Metzler, Philip Schniter, Ashok Veeraraghavan, Richard G. Baraniuk

Proceedings of the 35th International Conference on Machine Learning, 2018

An Expectation-Maximization Approach to Tuning Generalized Vector Approximate Message Passing.

Christopher A. Metzler, Philip Schniter, Richard G. Baraniuk

Proceedings of the Latent Variable Analysis and Signal Separation, 2018

2017

Learned D-AMP: A Principled CNN-based Compressive Image Recovery Algorithm.

Christopher A. Metzler, Ali Mousavi, Richard G. Baraniuk

CoRR, 2017

Learned D-AMP: Principled Neural Network based Compressive Image Recovery.

Christopher A. Metzler, Ali Mousavi, Richard G. Baraniuk

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.

Christopher A. Metzler, Manoj Kumar Sharma, Sudarshan Nagesh, Richard G. Baraniuk, Oliver Cossairt, Ashok Veeraraghavan

Proceedings of the 2017 IEEE International Conference on Computational Photography, 2017

2016

From Denoising to Compressed Sensing.

Christopher A. Metzler, Arian Maleki, Richard G. Baraniuk

IEEE Trans. Inf. Theory, 2016

BM3D-PRGAMP: Compressive phase retrieval based on BM3D denoising.

Christopher A. Metzler, Arian Maleki, Richard G. Baraniuk

Proceedings of the 2016 IEEE International Conference on Multimedia & Expo Workshops, 2016

2015

BM3D-AMP: A new image recovery algorithm based on BM3D denoising.

Christopher A. Metzler, Arian Maleki, Richard G. Baraniuk

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Dynamic model generation for application of compressed sensing to cryo-electron tomography reconstruction.

Sally L. Wood, Ernesto Fontenla, Christopher A. Metzler, Wah Chiu, Richard G. Baraniuk

Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015

Iterative reconstruction from limited angle, limited view projections for cryo-electron tomography.

Sally L. Wood, Ernesto Fontenla, Christopher A. Metzler, Wah Chiu, Richard G. Baraniuk

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015