In this work, we investigate how to propagate annotated labels for a given single image from the image-level to their corresponding semantic regions, namely Label-toRegion (L2R), ...
Abstract We consider the use of medial surfaces to represent symmetries of 3-D objects. This allows for a qualitative abstraction based on a directed acyclic graph of components an...
Kaleem Siddiqi, Juan Zhang, Diego Macrini, Ali Sho...
State coding conflict detection is a fundamental part of synthesis of asynchronous concurrent systems from their specifications as Signal Transition Graphs (STGs), which are a spe...
Alex Kondratyev, Jordi Cortadella, Michael Kishine...
Detecting moving objects using stationary cameras is an important precursor to many activity recognition, object recognition and tracking algorithms. In this paper, three innovati...
We present a new machine learning framework called "self-taught learning" for using unlabeled data in supervised classification tasks. We do not assume that the unlabele...
Rajat Raina, Alexis Battle, Honglak Lee, Benjamin ...