Katherine L. Bouman

According to our database, Katherine L. Bouman authored at least 42 papers between 2010 and 2024.

Collaborative distances:

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

2024

Learning Task-Specific Strategies for Accelerated MRI.

Zihui Wu, Tianwei Yin, Yu Sun, Robert Frost, André J. W. van der Kouwe, Adrian V. Dalca, Katherine L. Bouman

IEEE Trans. Computational Imaging, 2024

Provable Probabilistic Imaging Using Score-Based Generative Priors.

Yu Sun, Zihui Wu, Yifan Chen, Berthy T. Feng, Katherine L. Bouman

IEEE Trans. Computational Imaging, 2024

Neural Approximate Mirror Maps for Constrained Diffusion Models.

Berthy T. Feng, Ricardo Baptista, Katherine L. Bouman

CoRR, 2024

Event-horizon-scale Imaging of M87* under Different Assumptions via Deep Generative Image Priors.

Berthy T. Feng, Katherine L. Bouman, William T. Freeman

CoRR, 2024

Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors.

Zihui Wu, Yu Sun, Yifan Chen, Bingliang Zhang, Yisong Yue, Katherine L. Bouman

CoRR, 2024

Imaging An Evolving Black Hole By Leveraging Shared Structure.

Yvette Y. Lin, Angela F. Gao, Katherine L. Bouman

Proceedings of the IEEE International Conference on Acoustics, 2024

Score-based Diffusion Models for Photoacoustic Tomography Image Reconstruction.

Sreemanti Dey, Snigdha Saha, Berthy T. Feng, Manxiu Cui, Laure Delisle, Oscar Leong, Lihong V. Wang, Katherine L. Bouman

Proceedings of the IEEE International Conference on Acoustics, 2024

Single View Refractive Index Tomography with Neural Fields.

Brandon Zhao, Aviad Levis, Liam Connor, Pratul P. Srinivasan, Katherine L. Bouman

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

2023

Discovering Structure From Corruption for Unsupervised Image Reconstruction.

Oscar Leong, Angela F. Gao, He Sun, Katherine L. Bouman

IEEE Trans. Computational Imaging, 2023

Orbital Polarimetric Tomography of a Flare Near the Sagittarius A* Supermassive Black Hole.

Aviad Levis, Andrew A. Chael, Katherine L. Bouman, Maciek Wielgus, Pratul P. Srinivasan

CoRR, 2023

Efficient Bayesian Computational Imaging with a Surrogate Score-Based Prior.

Berthy T. Feng, Katherine L. Bouman

CoRR, 2023

Ill-Posed Image Reconstruction Without an Image Prior.

Oscar Leong, Angela F. Gao, He Sun, Katherine L. Bouman

CoRR, 2023

Score-Based Diffusion Models as Principled Priors for Inverse Imaging.

Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman

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

Image Reconstruction without Explicit Priors.

Angela F. Gao, Oscar Leong, He Sun, Katherine L. Bouman

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction.

He Sun, Katherine L. Bouman, Paul Tiede, Jason J. Wang, Sarah Blunt, Dimitri Mawet

CoRR, 2022

Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision.

Ryan K. Cosner, Ivan D. Jimenez Rodriguez, Tamás G. Molnár, Wyatt Ubellacker, Yisong Yue, Aaron D. Ames, Katherine L. Bouman

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Gravitationally Lensed Black Hole Emission Tomography.

Aviad Levis, Pratul P. Srinivasan, Andrew A. Chael, Ren Ng, Katherine L. Bouman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Visual Vibration Tomography: Estimating Interior Material Properties from Monocular Video.

Berthy T. Feng, Alexander C. Ogren, Chiara Daraio, Katherine L. Bouman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Unsupervised learning of MRI tissue properties using MRI physics models.

Divya Varadarajan, Katherine L. Bouman, André J. W. van der Kouwe, Bruce Fischl, Adrian V. Dalca

CoRR, 2021

End-to-End Sequential Sampling and Reconstruction for MR Imaging.

Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman

CoRR, 2021

DeepGEM: Generalized Expectation-Maximization for Blind Inversion.

Angela F. Gao, Jorge C. Castellanos, Yisong Yue, Zachary E. Ross, Katherine L. Bouman

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

End-to-End Sequential Sampling and Reconstruction for MRI.

Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman

Proceedings of the Machine Learning for Health, 2021

Measurement-Robust Control Barrier Functions: Certainty in Safety with Uncertainty in State.

Ryan K. Cosner, Andrew W. Singletary, Andrew J. Taylor, Tamás G. Molnár, Katherine L. Bouman, Aaron D. Ames

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Inference of Black Hole Fluid-Dynamics from Sparse Interferometric Measurements.

Aviad Levis, Daeyoung Lee, Joel A. Tropp, Charles F. Gammie, Katherine L. Bouman

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging.

He Sun, Katherine L. Bouman

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Learning a Probabilistic Strategy for Computational Imaging Sensor Selection.

He Sun, Adrian V. Dalca, Katherine L. Bouman

Proceedings of the 2020 IEEE International Conference on Computational Photography, 2020

2019

Medical Image Imputation From Image Collections.

Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland

IEEE Trans. Medical Imaging, 2019

Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks.

Tianfan Xue, Jiajun Wu, Katherine L. Bouman, William T. Freeman

IEEE Trans. Pattern Anal. Mach. Intell., 2019

2018

Reconstructing Video of Time-Varying Sources From Radio Interferometric Measurements.

Katherine L. Bouman, Michael D. Johnson, Adrian V. Dalca, Andrew A. Chael, Freek Roelofs, Sheperd S. Doeleman, William T. Freeman

IEEE Trans. Computational Imaging, 2018

2017

Extreme imaging via physical model inversion: seeing around corners and imaging black holes.

Katherine Louise Bouman

PhD thesis, 2017

Visual Vibrometry: Estimating Material Properties from Small Motions in Video.

Abe Davis, Katherine L. Bouman, Justin G. Chen, Michael Rubinstein, Oral Büyüköztürk, Frédo Durand, William T. Freeman

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Reconstructing Video from Interferometric Measurements of Time-Varying Sources.

Katherine L. Bouman, Michael D. Johnson, Adrian V. Dalca, Andrew A. Chael, Freek Roelofs, Sheperd S. Doeleman, William T. Freeman

CoRR, 2017

Population Based Image Imputation.

Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland

Proceedings of the Information Processing in Medical Imaging, 2017

Turning Corners into Cameras: Principles and Methods.

Katherine L. Bouman, Vickie Ye, Adam B. Yedidia, Frédo Durand, Gregory W. Wornell, Antonio Torralba, William T. Freeman

Proceedings of the IEEE International Conference on Computer Vision, 2017

Multi-Resolution Data Fusion for Super-Resolution Electron Microscopy.

Suhas Sreehari, S. V. Venkatakrishnan, Katherine L. Bouman, Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2016

Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks.

Tianfan Xue, Jiajun Wu, Katherine L. Bouman, Bill Freeman

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Computational Imaging for VLBI Image Reconstruction.

Katherine L. Bouman, Michael D. Johnson, Daniel Zoran, Vincent L. Fish, Sheperd S. Doeleman, William T. Freeman

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Visual vibrometry: Estimating material properties from small motions in video.

Abe Davis, Katherine L. Bouman, Justin G. Chen, Michael Rubinstein, Frédo Durand, William T. Freeman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2013

Estimating the Material Properties of Fabric from Video.

Katherine L. Bouman, Bei Xiao, Peter W. Battaglia, William T. Freeman

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Training image classifiers with similarity metrics, linear programming, and minimal supervision.

Karl S. Ni, Ethan Phelps, Katherine L. Bouman, Nadya T. Bliss

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011

A Low Complexity Sign Detection and Text Localization Method for Mobile Applications.

Katherine L. Bouman, Golnaz Abdollahian, Mireille Boutin, Edward J. Delp

IEEE Trans. Multim., 2011

2010

A low complexity method for detection of text area in natural images.

Katherine L. Bouman, Golnaz Abdollahian, Mireille Boutin, Edward J. Delp

Proceedings of the IEEE International Conference on Acoustics, 2010