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Machine Intelligence & Data Science
(MIDAS) Laboratory

We are developing state-of-the-art AI & data science solutions for computational imaging and vision, as well as improving their fundamental understanding.


Research Overview

Our research interests in data science include

  • AI & machine learning,

  • optimization, and 

  • sampling

with past and current projects in computational imaging and vision:

  • computational photography,

  • medical imaging, and

  • vision-based autonomous systems.

Latest Publications

Self-supervised regression learning 

Regression that predicts continuous quantity is a central part of applications using computational imaging and computer vision technologies. The paper proposes a general self-supervised regression learning framework that enables learning regression neural networks with only input data, but without ground-truth target data.

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