Katherine L. Bouman

Affiliations:
  • California Institute of Technology, Pasadena, CA, USA
  • Massachusetts Institute of Technology (MIT), CSAIL, Cambridge, MA, USA
  • University of Michigan, Department of Electrical Engineering and Computer Science, Ann Arbor, MI, USA


According to our database1, Katherine L. Bouman authored at least 28 papers between 2010 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Online presence:

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Bibliography

2022
Gravitationally Lensed Black Hole Emission Tomography.
CoRR, 2022

alpha-Deep Probabilistic Inference (alpha-DPI): efficient uncertainty quantification from exoplanet astrometry to black hole feature extraction.
CoRR, 2022

Self-Supervised Online Learning for Safety-Critical Control using Stereo Vision.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Unsupervised learning of MRI tissue properties using MRI physics models.
CoRR, 2021

End-to-End Sequential Sampling and Reconstruction for MR Imaging.
CoRR, 2021

Visual Vibration Tomography: Estimating Interior Material Properties from Monocular Video.
CoRR, 2021

DeepGEM: Generalized Expectation-Maximization for Blind Inversion.
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.
Proceedings of the Machine Learning for Health, 2021

Measurement-Robust Control Barrier Functions: Certainty in Safety with Uncertainty in State.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Inference of Black Hole Fluid-Dynamics from Sparse Interferometric Measurements.
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.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Learning a Probabilistic Strategy for Computational Imaging Sensor Selection.
Proceedings of the 2020 IEEE International Conference on Computational Photography, 2020

2019
Medical Image Imputation From Image Collections.
IEEE Trans. Medical Imaging, 2019

Visual Dynamics: Stochastic Future Generation via Layered Cross Convolutional Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

2018
Reconstructing Video of Time-Varying Sources From Radio Interferometric Measurements.
IEEE Trans. Computational Imaging, 2018

2017
Extreme imaging via physical model inversion: seeing around corners and imaging black holes.
PhD thesis, 2017

Visual Vibrometry: Estimating Material Properties from Small Motions in Video.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Reconstructing Video from Interferometric Measurements of Time-Varying Sources.
CoRR, 2017

Population Based Image Imputation.
Proceedings of the Information Processing in Medical Imaging, 2017

Turning Corners into Cameras: Principles and Methods.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Multi-Resolution Data Fusion for Super-Resolution Electron Microscopy.
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.
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.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Visual vibrometry: Estimating material properties from small motions in video.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2013
Estimating the Material Properties of Fabric from Video.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Training image classifiers with similarity metrics, linear programming, and minimal supervision.
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.
IEEE Trans. Multim., 2011

2010
A low complexity method for detection of text area in natural images.
Proceedings of the IEEE International Conference on Acoustics, 2010


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