Our benchmark model assumes an exogenous number of bidders N. We show that, if the bidders observe N, the resulting discontinuities in the winning bid density can be used to identify the distribution of N. The private value distribution can be nonparametrically identified in a second step.
3D face reconstruction from a single 2D image is a challenging problem with broad applications.
Ranked #6 on Face Alignment on AFLW2000-3D
Spatio-temporal information is very important to capture the discriminative cues between genuine and fake faces from video sequences.
We propose a CNN framework using sparsely labeled data from the target domain to learn features that are invariant across domains for face anti-spoofing.