Dr. Angela Dai is a Junior Research Group Leader at the Technical University of Munich where she leads the 3D Understanding group. Dr. Dai's research focuses on understanding how the 3D world around us can be modeled and semantically understood. Previously, she received her PhD in computer science from Stanford in 2018 and her BSE in computer science from Princeton in 2013. Her research has been recognized through a ZDB Junior Research Group Award, an ACM SIGGRAPH Outstanding Doctoral Dissertation Honorable Mention, as well as a Stanford Graduate Fellowship.
My research focuses on recreating and understanding 3D environments and how humanoid actors can interact with them. I first started working on fusing data from RGB-D sensors into complete scene representations in a real-time setting. More specifically, I also evaluated how these methods can be used in medical environments. For my Master's Thesis at the Technical University of Munich, I worked on improving the quality of those 3D scans using Deep Convolutional Autoencoders. I received my MSc in Informatics in the summer of 2019 at TUM and before that, my BSc in Informatics and Multimedia at the University of Augsburg.
Hi! I'm Pablo. My research interests lie on tracking and reconstruction of non-rigidly deforming objects in dynamic environments in a self-supervised manner. I received my Master's Degree in Mechanical Engineering at TU Munich in 2019, as well as a Master's Degree in Automation and Electronics at TU Madrid, as part of a Double Degree Program.