Cameron Blocker, Imaging Scientist

I am a Ph.D. candidate in the department of Electrical and Computer Engineering at the University of Michigan under the advisory of Jeff Fessler, Ph.D. I will be graduating in August 2022 and am currently looking for jobs. My primary research includes:

  • Data-driven and interpretable image modeling
  • Optimization theory for large-scale problems
  • Deep Learning for Image Reconstruction
I am particularly interested in applications to computational imaging and have worked on compressive light-field capture and reconstruction, 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.

Feel free to contact me via any of the icons in the corner or at cameronjblocker@gmail.com, or check out my resume here.

# Publications

  • 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 ]

# Recent Blog Posts

© Cameron Blocker 2022