Visual attributes expose human-defined semantics to object recognition models, but existing work largely restricts their influence to mid-level cues during classifier training....
We present a framework for learning object representations for fast recognition of a large number of different objects. Rather than learning and storing feature representations s...
In this paper we introduce a novel image descriptor enabling accurate object categorization even with linear models. Akin to the popular attribute descriptors, our feature vector ...
Class sharing is a new language mechanism for building extensible software systems. Recent work has separately explored two different kinds of extensibility: first, family inherit...
Tropes, an object-based knowledge representation system, has been added three important intertwined features: constraints, composite objects and tasks. Constraints provide a decla...