Regular biography
Thomas Funkhouser is a Professor of Computer Science at Princeton University. His research areas include Machine Learning, Vision, and Graphics. He holds a Ph.D. from the University of California, Berkeley, awarded in 1993. Funkhouser's profile page indicates his affiliation with the Computer Science department and provides a link to his homepage. His work contributes to the fields of computer vision and graphics, with a focus on advancing computational methods in these areas.
Scholar-generated biography
Thomas Funkhouser is a researcher at Princeton University and Google, specializing in Computer Graphics, Computer Vision, Shape Analysis, Geometric Modeling, and Geometry Processing. His work focuses on creating and analyzing 3D models, with notable contributions to 3D reconstruction, scene understanding, and shape representation. He has developed datasets such as Shapenet and Scannet, which are widely used in research for 3D modeling and scene understanding. His research also includes methods for 3D mesh segmentation, shape descriptors, and multi-view image-based rendering. Funkhouser's work emphasizes the integration of deep learning with geometric modeling to enhance the accuracy and efficiency of 3D scene analysis.