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ORCIDKatherine L. Bouman
Person information
- affiliation: California Institute of Technology, Pasadena, CA, USA
- affiliation: Massachusetts Institute of Technology (MIT), CSAIL, Cambridge, MA, USA
- affiliation: University of Michigan, Department of Electrical Engineering and Computer Science, Ann Arbor, MI, USA
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2020 – today
- 2025
[j10]Brandon Y. Feng
, Rodrigo Ferrer Chávez, Aviad Levis, Jason Jinfei Wang, Katherine L. Bouman, William T. Freeman:
Exoplanet Imaging via Differentiable Rendering. IEEE Trans. Computational Imaging 11: 36-51 (2025)- [i29]Brandon Y. Feng, Rodrigo Ferrer Chávez, Aviad Levis, Jason Jinfei Wang, Katherine L. Bouman, William T. Freeman:
Exoplanet Detection via Differentiable Rendering. CoRR abs/2501.01912 (2025) - [i28]Hyungjin Chung, Dohun Lee, Zihui Wu, Byung-Hoon Kim, Katherine L. Bouman, Jong Chul Ye:
ContextMRI: Enhancing Compressed Sensing MRI through Metadata Conditioning. CoRR abs/2501.04284 (2025) - 2024
- [j9]Berthy Feng, Katherine L. Bouman:
Seeing Beyond the Blur with Generative AI. XRDS 31(2): 28-31 (2024) - [j8]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: 1040-1054 (2024) - [j7]Yu Sun, Zihui Wu, Yifan Chen, Berthy T. Feng, Katherine L. Bouman:
Provable Probabilistic Imaging Using Score-Based Generative Priors. IEEE Trans. Computational Imaging 10: 1290-1305 (2024) - [c24]Brandon Zhao, Aviad Levis, Liam Connor, Pratul P. Srinivasan, Katherine L. Bouman:
Single View Refractive Index Tomography with Neural Fields. CVPR 2024: 25358-25367 - [c23]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: 2470-2474 - [c22]Yvette Y. Lin, Angela F. Gao, Katherine L. Bouman:
Imaging An Evolving Black Hole By Leveraging Shared Structure. ICASSP 2024: 2475-2479 - [c21]Zihui Wu, Yu Sun, Yifan Chen, Bingliang Zhang, Yisong Yue, Katherine L. Bouman:
Principled Probabilistic Imaging using Diffusion Models as Plug-and-Play Priors. NeurIPS 2024 - [i27]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 abs/2404.00471 (2024) - [i26]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 abs/2405.18782 (2024) - [i25]Berthy T. Feng, Katherine L. Bouman, William T. Freeman:
Event-horizon-scale Imaging of M87* under Different Assumptions via Deep Generative Image Priors. CoRR abs/2406.02785 (2024) - [i24]Berthy T. Feng, Ricardo Baptista, Katherine L. Bouman:
Neural Approximate Mirror Maps for Constrained Diffusion Models. CoRR abs/2406.12816 (2024) - 2023
- [j6]Oscar Leong, Angela F. Gao, He Sun, Katherine L. Bouman:
Discovering Structure From Corruption for Unsupervised Image Reconstruction. IEEE Trans. Computational Imaging 9: 992-1005 (2023) - [c20]Angela F. Gao, Oscar Leong, He Sun, Katherine L. Bouman:
Image Reconstruction without Explicit Priors. ICASSP 2023: 1-5 - [c19]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: 10486-10497 - [i23]Angela F. Gao, Oscar Leong, He Sun, Katherine L. Bouman:
Image Reconstruction without Explicit Priors. CoRR abs/2303.12217 (2023) - [i22]Oscar Leong, Angela F. Gao, He Sun, Katherine L. Bouman:
Ill-Posed Image Reconstruction Without an Image Prior. CoRR abs/2304.05589 (2023) - [i21]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 abs/2304.11751 (2023) - [i20]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 abs/2304.12507 (2023) - [i19]Berthy T. Feng, Katherine L. Bouman:
Efficient Bayesian Computational Imaging with a Surrogate Score-Based Prior. CoRR abs/2309.01949 (2023) - [i18]Brandon Zhao, Aviad Levis, Liam Connor, Pratul P. Srinivasan, Katherine L. Bouman:
Single View Refractive Index Tomography with Neural Fields. CoRR abs/2309.04437 (2023) - [i17]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 abs/2310.07687 (2023) - [i16]Yu Sun, Zihui Wu, Yifan Chen, Berthy T. Feng, Katherine L. Bouman:
Provable Probabilistic Imaging using Score-Based Generative Priors. CoRR abs/2310.10835 (2023) - 2022
- [c18]Berthy T. Feng, Alexander C. Ogren, Chiara Daraio, Katherine L. Bouman:
Visual Vibration Tomography: Estimating Interior Material Properties from Monocular Video. CVPR 2022: 16210-16219 - [c17]Aviad Levis, Pratul P. Srinivasan, Andrew A. Chael, Ren Ng, Katherine L. Bouman:
Gravitationally Lensed Black Hole Emission Tomography. CVPR 2022: 19809-19818 - [c16]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: 11487-11493 - [i15]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 abs/2201.08506 (2022) - [i14]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 abs/2203.01404 (2022) - [i13]Aviad Levis, Pratul P. Srinivasan, Andrew A. Chael, Ren Ng, Katherine L. Bouman:
Gravitationally Lensed Black Hole Emission Tomography. CoRR abs/2204.03715 (2022) - 2021
- [c15]He Sun, Katherine L. Bouman:
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging. AAAI 2021: 2628-2637 - [c14]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: 2320-2329 - [c13]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: 6286-6291 - [c12]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: 261-281 - [c11]Angela F. Gao, Jorge C. Castellanos, Yisong Yue, Zachary E. Ross, Katherine L. Bouman:
DeepGEM: Generalized Expectation-Maximization for Blind Inversion. NeurIPS 2021: 11592-11603 - [i12]Berthy Feng, Alexander C. Ogren, Chiara Daraio, Katherine L. Bouman:
Visual Vibration Tomography: Estimating Interior Material Properties from Monocular Video. CoRR abs/2104.02735 (2021) - [i11]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 abs/2104.14030 (2021) - [i10]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 abs/2105.06460 (2021) - [i9]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 abs/2107.02704 (2021) - 2020
- [c10]He Sun, Adrian V. Dalca, Katherine L. Bouman:
Learning a Probabilistic Strategy for Computational Imaging Sensor Selection. ICCP 2020: 1-12 - [i8]He Sun, Adrian V. Dalca, Katherine L. Bouman:
Learning a Probabilistic Strategy for Computational Imaging Sensor Selection. CoRR abs/2003.10424 (2020) - [i7]He Sun, Katherine L. Bouman:
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging. CoRR abs/2010.14462 (2020)
2010 – 2019
- 2019
- [j5]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): 2236-2250 (2019) - [j4]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): 504-514 (2019) - 2018
- [j3]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): 512-527 (2018) - [i6]Tianfan Xue, Jiajun Wu, Katherine L. Bouman, William T. Freeman:
Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks. CoRR abs/1807.09245 (2018) - [i5]Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland:
Medical Image Imputation from Image Collections. CoRR abs/1808.05732 (2018) - 2017
- [b1]Katherine Louise Bouman:
Extreme imaging via physical model inversion: seeing around corners and imaging black holes. Massachusetts Institute of Technology, Cambridge, USA, 2017 - [j2]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): 732-745 (2017) - [c9]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: 1084-1092 - [c8]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: 2289-2297 - [c7]Adrian V. Dalca, Katherine L. Bouman, William T. Freeman, Natalia S. Rost, Mert R. Sabuncu, Polina Golland:
Population Based Image Imputation. IPMI 2017: 659-671 - [i4]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 abs/1711.01357 (2017) - 2016
- [c6]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: 913-922 - [c5]Tianfan Xue, Jiajun Wu, Katherine L. Bouman, Bill Freeman:
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks. NIPS 2016: 91-99 - [i3]Tianfan Xue, Jiajun Wu, Katherine L. Bouman, William T. Freeman:
Visual Dynamics: Probabilistic Future Frame Synthesis via Cross Convolutional Networks. CoRR abs/1607.02586 (2016) - [i2]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 abs/1612.00874 (2016) - 2015
- [c4]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: 5335-5343 - [i1]Katherine L. Bouman, Michael D. Johnson, Daniel Zoran, Vincent L. Fish, Sheperd S. Doeleman, William T. Freeman:
Computational Imaging for VLBI Image Reconstruction. CoRR abs/1512.01413 (2015) - 2013
- [c3]Katherine L. Bouman, Bei Xiao, Peter W. Battaglia, William T. Freeman:
Estimating the Material Properties of Fabric from Video. ICCV 2013: 1984-1991 - 2012
- [c2]Karl S. Ni, Ethan Phelps, Katherine L. Bouman, Nadya T. Bliss:
Training image classifiers with similarity metrics, linear programming, and minimal supervision. ACSCC 2012: 1979-1983 - 2011
- [j1]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): 922-934 (2011) - 2010
- [c1]Katherine L. Bouman, Golnaz Abdollahian, Mireille Boutin, Edward J. Delp:
A low complexity method for detection of text area in natural images. ICASSP 2010: 1050-1053
Coauthor Index
aka: Berthy T. Feng
aka: Bill Freeman
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last updated on 2025-03-04 21:19 CET by the dblp team
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