Background subtraction algorithms define the background
as parts of a scene that are at rest. Traditionally,
these algorithms assume a stationary camera, and identify
moving obj...
We present some theoretical results related to the problem
of actively searching for a target in a 3D environment,
under the constraint of a maximum search time. We define
the o...
Currently, video analysis algorithms suffer from lack of information
regarding the objects present, their interactions,
as well as from missing comprehensive annotated video
dat...
Jenny Yuen, Bryan Russell, Ce Liu, Antonio Torralb...
We introduce a linearly weighted variant of the total
variation for vector fields in order to formulate regularizers
for multi-class labeling problems with non-trivial interclass...
We cast some new insights into solving the digital matting
problem by treating it as a semi-supervised learning
task in machine learning. A local learning based approach
and a g...