Welcome to CIG!

Computational Imaging is a rapidly growing research area at the intersection of data science, computer vision, machine learning, applied mathematics, and physical sciences. Computational Imaging Group (CIG) develops advanced algorithms for fast and reliable acquisition, efficient processing, and automated analysis of imaging data, including 2D, 3D, or 4D images and videos. Applications include biomedical imaging, material sciences, geospatial sensing, space exploration, industrial inspection, and consumer electronics. We develop algorithms and theoretical foundations for enabling advanced capabilities in future imaging and sensing systems. We have expertise in deep learning, large-scale optimization, signal and image processing, computer vision, and statistical inference. Our research is inherently interdisciplinary and includes collaborations with researchers in optics, medicine, physics, materials, and biology.

Interested in doing research in CIG? Multiple opportunities at all levels.


Latest News

March 2023: New paper Deep Equilibrium Learning of Explicit Regularizers for Imaging Inverse Problems.

March 2023: Yu Sun was awarded 2022 Turner Dissertation Award for the best doctoral dissertation conducted at the Department of Computer Science and Engineering at Washington University.

March 2023: Three papers accepted to ICASSP 2023 taking place on 4-10 June 2023 in Rhodes Island, Greece.

February 2023: One submissions accepted to ISMRM 2023 taking place on 3-8 June 2023 in Toronto, Canada.

February 2023: Ulugbek will give an invited talk at BASP 2023.

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