Machine Intelligence & Data Science
We are developing state-of-the-art AI & data science solutions for imaging, image processing, and computer vision, as well as improving their fundamental understanding.
Our research interests in data science include
AI & machine learning,
with past and current projects in imaging, image processing, and computer vision:
computational photography, and
vision-based autonomous systems.
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.