Thomas Chen
Thomas Chen is a machine learning/computer vision researcher from the United States. He is particularly interested in using deep learning-based computer vision to assess and gain insights into damage in objects in imagery. More broadly, he is passionate about applying machine learning to real-world issues that face society, including climate change.
Talks
Deep learning-based remote sensing for disaster relief with Python
Attend this talk to learn about ongoing and future work using deep learning techniques to remotely sense and assess building damage post-natural disaster, using Python.