Advisor(s):
Michael Black
Faces, their shape, and their motion are essential to communication. Consequently, we want a model of the face that can capture the full range of face shapes and expressions. Such a model should be realistic, easy to animate, easy to fit to data, and should support inference about human emotion and speech....
Michael Black Timo Bolkart Anurag Ranjan Soubhik Sanyal Tianye Li Javier Romero Cassidy Laidlaw
Much of our work focuses on 3D models of objects and scenes. We would like to take advantage of current deep learning approaches in representing and reasoning about 3D. Unfortunately, the standard 2D convolutional models do not readily extend to 3D because they do not match well current 3D data structures....
Michael Black Gernot Riegler Osman Ulusoy Andreas Geiger Anurag Ranjan Timo Bolkart Soubhik Sanyal
Ranjan, A., Bolkart, T., Sanyal, S., Black, M. J.
In European Conference on Computer Vision (ECCV), Lecture Notes in Computer Science, vol 11207, pages: 725-741, Springer, Cham, September 2018 (inproceedings)