Artificial intelligence has recently made remarkable contributions across scientific fields. Within AI, computer vision—focused on enabling machines to see and interpret the 3D visual world—has become a key driver of progress. In this talk, I will first highlight our efforts in applying computer vision to pressing challenges in climate change and materials discovery. I will then present our advances in 3D reconstruction and scene understanding, a core task in computer vision.


Finally, I will discuss the broader potential of these techniques to accelerate discovery in astronomy and beyond.


Zezhou is a tenure-track assistant professor in the Department of Computer Science at the University of Virginia, leading the Computer Vision Lab. Before joining UVA, Zezhou was a Postdoctoral Researcher at Caltech, advised by Georgia Gkioxari. Zezhou obtained their Ph.D. in Computer Science at UMass Amherst in 2023, where I was co-advised by Subhransu Maji and Daniel Sheldon. I received my Bachelor's degree at Sichuan University in China in 2015. During my undergraduate studies, I worked with Qingxiong Yang and Bin Sheng at Shanghai Jiao Tong University.