Airborne LiDAR technology draws increasing interest in
large-scale 3D urban modeling in recent years. 3D Li-
DAR data typically has no texture information. To generate
photo-rea...
In this paper, we present a Deformable Action Template
(DAT) model that is learnable from cluttered real-world
videos with weak supervisions. In our generative model,
an action ...
The visual representation of complex data has always been a major motivation for computer graphics. However, there have always been computer graphics scenes which were too complex...
Reversible jump Markov chain Monte Carlo (RJMCMC) is a recent method which makes it possible to construct reversible Markov chain samplers that jump between parameter subspaces of...
: In this work we introduce an iterative method that deforms brain models built from tomographic images. The deformation is used for normalization purposes: individual models are d...