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...
—We address the recently recognized privatization problem in software transactional memory (STM) runtimes, and introduce the notion of partially visible reads (PVRs) to heuristic...
Virendra J. Marathe, Michael F. Spear, Michael L. ...
Patch descriptors are used for a variety of tasks ranging from finding corresponding points across images, to describing object category parts. In this paper, we propose an image ...
We propose a novel framework for consistent correspondence between arbitrary manifold meshes. Different from most existing methods, our approach directly maps the connectivity of ...
We propose an unsupervised method for evaluating image segmentation. Common methods are typically based on evaluating smoothness within segments and contrast between them, and the...