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
February 2024: DiffGEPCI: 3D MRI Synthesis from mGRE Signals using 2.5D Diffusion Model was accepted to IEEE ISBI 2024.
January 2024: A Restoration Network as an Implicit Prior was accepted to ICLR 2024.
January 2024: A Plug-and-Play Image Registration Network was accepted to ICLR 2024.
January 2024: Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models was accepted to ICLR 2024.
January 2024: Constrained Regularization by Denoising with Automatic Parameter Selection was accepted to IEEE Signal Processing Letters.
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