Opportunistic Single-Photon Time of Flight [Publication Link] [Poster] [Project Webpage]
Sotiris Nousias, Mian Wei, Howard Xiao, Maxx Wu, Shahmeer Athar, Kevin J Wang, Anagh Malik, David A. Barmherzig, David B. Lindell, and Kyros Kutulakos. Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
Practical Phase Retrieval Using Double Deep Image Priors [Publication Link]
Zhong Zhuang, David Yang, David Barmherzig and Ju Sun. NeurIPS Workshop on Deep Learning and Inverse Problems, 2023.
Practical Phase Retrieval Using Double Deep Image Priors [Publication Link]
Zhong Zhuang, David Yang, Felix Hofmann, David Barmherzig and Ju Sun. Electronic Imaging 153, pp. 1-6, 2023.
Low-Photon Holographic Phase Retrieval with Poisson-Gaussian Denoising [Publication Link]
David A. Barmherzig and Michael Eickenberg. Proceedings of the Imaging and Applied Optics Congress, CM2A.5, Optica, 2022.
HoloML in Stan: Low-photon Image Reconstruction [Publication Link] [Code]
Brian Ward, Bob Carpenter, and David Barmherzig. Stan Case Studies, Volume 9, 2022.
Towards Practical Holographic Coherent Diffraction Imaging via Maximum Likelihood Estimation [Publication Link][arXiv]
David A. Barmherzig and Ju Sun. Optics Express 30 (5), pp. 6886-6906, 2022.
Recovering Missing Data in Coherent Diffraction Imaging [Publication Link]
David A. Barmherzig, Alex H. Barnett, Charles L. Epstein, Leslie F. Greengard, Jeremy F. Magland, and Manas Rachh. Proceedings of the Imaging and Applied Optics Congress, CTh7A.3, Optica, 2021.
Low-Photon Holographic Phase Retrieval via a Deep Decoder Neural Network [Publication Link]
Hannah Lawrence, David A. Barmherzig, Henry Li, Michael Eickenberg, and Marylou Gabrié. Proceedings of the Imaging and Applied Optics Congress, JTu5A.19, Optica, 2021.
Hannah Lawrence, David A. Barmherzig, Henry Li, Michael Eickenberg, and Marylou Gabrié. Proceedings of Machine Learning Research (PMLR) 145, pp. 516-567, 2021.
Recovering Missing Data in Coherent Diffraction Imaging [Publication Link] [arXiv]
David A. Barmherzig, Alex H. Barnett, Charles L. Epstein, Leslie F. Greengard, Jeremy F. Magland, and Manas Rachh. SIAM Journal on Imaging Sciences 14(2), pp. 620-644, 2021.
Low-Photon Holographic Phase Retrieval [Publication Link]
David A. Barmherzig and Ju Sun. Proceedings of the Imaging and Applied Optics Congress, JTu4A.6, Optica, 2020.
The Phase Retrieval Problem: Theory, Algorithms, and Applications [Publication Link]
David A. Barmherzig. Doctoral Dissertation, Stanford University, 2019.
Dual-Reference Design for Holographic Phase Retrieval [Publication Link] [arXiv]
David A. Barmherzig, Ju Sun, Emmanuel J. Candès, T.J. Lane, and Po-Nan Li. SampTA, 2019.
Holographic Phase Retrieval and Reference Design [Publication Link] [arXiv] [Code]
David A. Barmherzig, Ju Sun, Emmanuel J. Candès, T.J. Lane, and Po-Nan Li. Inverse Problems 35(9), pp. 094001, 2019.
1D Phase Retrieval and Spectral Factorization [Publication Link]
David Barmherzig, Ju Sun. Proceedings of the Imaging and Applied Optics Congress, JTh1A.4, Optica, 2018.
On Block-Reference Coherent Diffraction Imaging [Publication Link]
David Barmherzig, Ju Sun, T.J. Lane, and Po-Nan Li. Proceedings of the Imaging and Applied Optics Congress, CTh1B.1, Optica, 2018.
A Local Analysis of Block Coordinate Descent for Gaussian Phase Retrieval [Publication Link] [arXiv] [Code]
David Barmherzig, Ju Sun. 10th NeurIPS Workshop on Optimization for Machine Learning, 2017.
David Barmherzig 
