Recognizing human action from image sequences is an active area of research in computer vision. In this paper, we present a novel method for human action recognition from image se...
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...
—Feature-oriented software development (FOSD) aims at the construction, customization, and synthesis of large-scale software systems. We propose a novel software design paradigm,...
Sven Apel, Wolfgang Scholz, Christian Lengauer, Ch...
—We introduce quantization feature functions to represent continuous or large range discrete data into the symbolic CRF data representation. We show that doing this convertion in...
We present a discriminative shape-based algorithm for object category localization and recognition. Our method learns object models in a weakly-supervised fashion, without requiri...
Marius Leordeanu, Martial Hebert, Rahul Sukthankar