Katherine L. Bouman

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 50

Top Topics

Image Reconstruction

Diffusion Models

Emission Tomography

Top Venues

Publications

Berthy T. Feng, Ricardo Baptista, Katherine L. Bouman
Neural Approximate Mirror Maps for Constrained Diffusion Models. CoRR (2024)
Yvette Y. Lin, Angela F. Gao, Katherine L. Bouman
Imaging An Evolving Black Hole By Leveraging Shared Structure. ICASSP (2024)
Zihui Wu, Tianwei Yin, Yu Sun, Robert Frost, André J. W. van der Kouwe, Adrian V. Dalca, Katherine L. Bouman
Learning Task-Specific Strategies for Accelerated MRI. IEEE Trans. Computational Imaging 10 (2024)
Berthy T. Feng, Katherine L. Bouman, William T. Freeman
Event-horizon-scale Imaging of M87* under Different Assumptions via Deep Generative Image Priors. CoRR (2024)
Zihui Wu, Yu Sun, Yifan Chen, Bingliang Zhang, Yisong Yue, Katherine L. Bouman
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors. CoRR (2024)
Sreemanti Dey, Snigdha Saha, Berthy T. Feng, Manxiu Cui, Laure Delisle, Oscar Leong, Lihong V. Wang, Katherine L. Bouman
Score-based Diffusion Models for Photoacoustic Tomography Image Reconstruction. ICASSP (2024)
Sreemanti Dey, Snigdha Saha, Berthy T. Feng, Manxiu Cui, Laure Delisle, Oscar Leong, Lihong V. Wang, Katherine L. Bouman
Score-Based Diffusion Models for Photoacoustic Tomography Image Reconstruction. CoRR (2024)
Oscar Leong, Angela F. Gao, He Sun, Katherine L. Bouman
Ill-Posed Image Reconstruction Without an Image Prior. CoRR (2023)
Angela F. Gao, Oscar Leong, He Sun, Katherine L. Bouman
Image Reconstruction without Explicit Priors. CoRR (2023)
Berthy T. Feng, Katherine L. Bouman
Efficient Bayesian Computational Imaging with a Surrogate Score-Based Prior. CoRR (2023)
Zihui Wu, Tianwei Yin, Yu Sun, Robert Frost, André J. W. van der Kouwe, Adrian V. Dalca, Katherine L. Bouman
Learning Task-Specific Strategies for Accelerated MRI. CoRR (2023)
Brandon Zhao, Aviad Levis, Liam Connor, Pratul P. Srinivasan, Katherine L. Bouman
Single View Refractive Index Tomography with Neural Fields. CoRR (2023)
Aviad Levis, Andrew A. Chael, Katherine L. Bouman, Maciek Wielgus, Pratul P. Srinivasan
Orbital Polarimetric Tomography of a Flare Near the Sagittarius A* Supermassive Black Hole. CoRR (2023)
Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman
Score-Based Diffusion Models as Principled Priors for Inverse Imaging. CoRR (2023)
Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman
Score-Based Diffusion Models as Principled Priors for Inverse Imaging. ICCV (2023)
Yu Sun, Zihui Wu, Yifan Chen, Berthy T. Feng, Katherine L. Bouman
Provable Probabilistic Imaging using Score-Based Generative Priors. CoRR (2023)
Angela F. Gao, Oscar Leong, He Sun, Katherine L. Bouman
Image Reconstruction without Explicit Priors. ICASSP (2023)
Oscar Leong, Angela F. Gao, He Sun, Katherine L. Bouman
Discovering Structure From Corruption for Unsupervised Image Reconstruction. IEEE Trans. Computational Imaging 9 (2023)
Aviad Levis, Pratul P. Srinivasan, Andrew A. Chael, Ren Ng, Katherine L. Bouman
Gravitationally Lensed Black Hole Emission Tomography. CVPR (2022)
Ryan K. Cosner, Ivan D. Jimenez Rodriguez, Tamás G. Molnár, Wyatt Ubellacker, Yisong Yue, Aaron D. Ames, Katherine L. Bouman
Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision. CoRR (2022)
He Sun, Katherine L. Bouman, Paul Tiede, Jason J. Wang, Sarah Blunt, Dimitri Mawet
alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction. CoRR (2022)
Berthy T. Feng, Alexander C. Ogren, Chiara Daraio, Katherine L. Bouman
Visual Vibration Tomography: Estimating Interior Material Properties from Monocular Video. CVPR (2022)
Ryan K. Cosner, Ivan D. Jimenez Rodriguez, Tamás G. Molnár, Wyatt Ubellacker, Yisong Yue, Aaron D. Ames, Katherine L. Bouman
Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision. ICRA (2022)
Aviad Levis, Pratul P. Srinivasan, Andrew A. Chael, Ren Ng, Katherine L. Bouman
Gravitationally Lensed Black Hole Emission Tomography. CoRR (2022)
Aviad Levis, Daeyoung Lee, Joel A. Tropp, Charles F. Gammie, Katherine L. Bouman
Inference of Black Hole Fluid-Dynamics from Sparse Interferometric Measurements. ICCV (2021)
Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman
End-to-End Sequential Sampling and Reconstruction for MR Imaging. CoRR (2021)
Ryan K. Cosner, Andrew W. Singletary, Andrew J. Taylor, Tamás G. Molnár, Katherine L. Bouman, Aaron D. Ames
Measurement-Robust Control Barrier Functions: Certainty in Safety with Uncertainty in State. CoRR (2021)
Ryan K. Cosner, Andrew W. Singletary, Andrew J. Taylor, Tamás G. Molnár, Katherine L. Bouman, Aaron D. Ames
Measurement-Robust Control Barrier Functions: Certainty in Safety with Uncertainty in State. IROS (2021)
Divya Varadarajan, Katherine L. Bouman, André J. W. van der Kouwe, Bruce Fischl, Adrian V. Dalca
Unsupervised learning of MRI tissue properties using MRI physics models. CoRR (2021)
Angela F. Gao, Jorge C. Castellanos, Yisong Yue, Zachary E. Ross, Katherine L. Bouman
DeepGEM: Generalized Expectation-Maximization for Blind Inversion. NeurIPS (2021)
Berthy Feng, Alexander C. Ogren, Chiara Daraio, Katherine L. Bouman
Visual Vibration Tomography: Estimating Interior Material Properties from Monocular Video. CoRR (2021)
Tianwei Yin, Zihui Wu, He Sun, Adrian V. Dalca, Yisong Yue, Katherine L. Bouman
End-to-End Sequential Sampling and Reconstruction for MRI. ML4H@NeurIPS (2021)
He Sun, Katherine L. Bouman
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging. AAAI (2021)
He Sun, Adrian V. Dalca, Katherine L. Bouman
Learning a Probabilistic Strategy for Computational Imaging Sensor Selection. CoRR (2020)
He Sun, Katherine L. Bouman
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging. CoRR (2020)
He Sun, Adrian V. Dalca, Katherine L. Bouman
Learning a Probabilistic Strategy for Computational Imaging Sensor Selection. ICCP (2020)
Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland
Medical Image Imputation From Image Collections. IEEE Trans. Medical Imaging 38 (2) (2019)
Tianfan Xue, Jiajun Wu, Katherine L. Bouman, William T. Freeman
Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 41 (9) (2019)
Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland
Medical Image Imputation from Image Collections. CoRR (2018)
Katherine L. Bouman, Michael D. Johnson, Adrian V. Dalca, Andrew A. Chael, Freek Roelofs, Sheperd S. Doeleman, William T. Freeman
Reconstructing Video of Time-Varying Sources From Radio Interferometric Measurements. IEEE Trans. Computational Imaging 4 (4) (2018)
Tianfan Xue, Jiajun Wu, Katherine L. Bouman, William T. Freeman
Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks. CoRR (2018)
Abe Davis, Katherine L. Bouman, Justin G. Chen, Michael Rubinstein, Oral Büyüköztürk, Frédo Durand, William T. Freeman
Visual Vibrometry: Estimating Material Properties from Small Motions in Video. IEEE Trans. Pattern Anal. Mach. Intell. 39 (4) (2017)
Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland
Population Based Image Imputation. IPMI (2017)
Suhas Sreehari, S. V. Venkatakrishnan, Katherine L. Bouman, Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman
Multi-Resolution Data Fusion for Super-Resolution Electron Microscopy. CVPR Workshops (2017)
Katherine L. Bouman, Michael D. Johnson, Adrian V. Dalca, Andrew A. Chael, Freek Roelofs, Sheperd S. Doeleman, William T. Freeman
Reconstructing Video from Interferometric Measurements of Time-Varying Sources. CoRR (2017)
Katherine L. Bouman, Vickie Ye, Adam B. Yedidia, Frédo Durand, Gregory W. Wornell, Antonio Torralba, William T. Freeman
Turning Corners into Cameras: Principles and Methods. ICCV (2017)
Suhas Sreehari, S. V. Venkatakrishnan, Katherine L. Bouman, Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman
Multi-resolution Data Fusion for Super-Resolution Electron Microscopy. CoRR (2016)
Katherine L. Bouman, Michael D. Johnson, Daniel Zoran, Vincent L. Fish, Sheperd S. Doeleman, William T. Freeman
Computational Imaging for VLBI Image Reconstruction. CVPR (2016)
Tianfan Xue, Jiajun Wu, Katherine L. Bouman, William T. Freeman
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks. CoRR (2016)
Tianfan Xue, Jiajun Wu, Katherine L. Bouman, Bill Freeman
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks. NIPS (2016)
Katherine L. Bouman, Michael D. Johnson, Daniel Zoran, Vincent L. Fish, Sheperd S. Doeleman, William T. Freeman
Computational Imaging for VLBI Image Reconstruction. CoRR (2015)
Abe Davis, Katherine L. Bouman, Justin G. Chen, Michael Rubinstein, Frédo Durand, William T. Freeman
Visual vibrometry: Estimating material properties from small motions in video. CVPR (2015)
Katherine L. Bouman, Bei Xiao, Peter W. Battaglia, William T. Freeman
Estimating the Material Properties of Fabric from Video. ICCV (2013)
Karl S. Ni, Ethan Phelps, Katherine L. Bouman, Nadya T. Bliss
Training image classifiers with similarity metrics, linear programming, and minimal supervision. ACSCC (2012)
Katherine L. Bouman, Golnaz Abdollahian, Mireille Boutin, Edward J. Delp
A Low Complexity Sign Detection and Text Localization Method for Mobile Applications. IEEE Trans. Multim. 13 (5) (2011)
Katherine L. Bouman, Golnaz Abdollahian, Mireille Boutin, Edward J. Delp
A low complexity method for detection of text area in natural images. ICASSP (2010)