Cameron Blocker, Imaging Scientist

I am a research engineer with a passion for building novel, seemingly-impossible camera systems. In particular, I specialize in leveraging compute to do what cannot be done with physics alone. I received my Ph.D. from the department of Electrical and Computer Engineering at the University of Michigan under the advisory of Jeff Fessler, Ph.D in August 2022. My primary research includes:

Deep Learning for Image Reconstruction
Data-driven and interpretable image modeling
Optimization theory for large-scale problems

I am particularly interested in applications to computational photography and have worked on compressive light-field capture and reconstruction, image sharpening, image demosaicing, image denoising, multi-frame image de-aliasing and super-resolution, and compressive MR imaging.

Outside of my imaging algorithms research, I also enjoy working on imaging hardware, including circuit design and embedded systems for cameras. I enjoy doing holography (a research topic of mine during my undergrad at BYU) and microscopy and hope to get first hand experience with other imaging methods. I enjoy solving math and programming puzzles.

Feel free to contact me via any of the icons in the corner or at cameronjblocker@gmail.com.

# Publications

C. J. Blocker, H. Raja, J. A. Fessler, and L. Balzano. “Dynamic Subspace Estimation with Grassmannian Geodesics” 2023. arXiv:2303.14851. [ Bibtex ]
D. Zhang, Z. Xu, Z. Huang, A. R. Gutierrez, C. J. Blocker, C.-H. Liu, M.-B. Lien, G. Cheng, Z. Liu, I. Y. Chun, J. A. Fessler, Z. Zhong, and T. B. Norris. “Neural network based 3D tracking with a graphene transparent focal stack imaging system” Nature Communications, 12(1):1–7, 2021. [ Bibtex ]
C. J. Blocker and J. A. Fessler. “Blind Unitary Transform Learning for Inverse Problems in Light-Field Imaging” In Proc. of the IEEE/CVF Intl. Conf. on Computer Vision Workshop (ICCVW), volume, 3933–3942. 2019. [ Bibtex ]
D. Zhang, Z. Xu, Z. Huang, A. R. Gutierrez, I. Y. Chun, C. J. Blocker, G. Cheng, Z. Liu, J. A. Fessler, Z. Zhong, and T. B. Norris. “Graphene-Based Transparent Photodetector Array for Multiplane Imaging” In Conf. on Lasers and Electro-Optics. 2019. doi:10.23919/CLEO.2019.8750012. [ Bibtex ]
C. J. Blocker, I. Y. Chun, and J. A. Fessler. “Low-Rank Plus Sparse Tensor Models for Light-Field Reconstruction From Focal Stack Data” In Proc. IEEE Wkshp. on Image, Video, Multidim. Signal Proc., 1–5. 2018. doi:10.1109/IVMSPW.2018.8448509. [ Bibtex ]
S. Ravishankar, A. Lahiri, C. J. Blocker, and J. A. Fessler. “Deep Dictionary-Transform Learning for Image Reconstruction” In Proc. IEEE Intl. Symp. Biomed. Imag., 1208–12. 2018. doi:10.1109/ISBI.2018.8363788. [ Bibtex ]

# Publications

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