We address the problem of identifying specific instances of a class (cars) from a set of images all belonging to that class. Although we cannot build a model for any particular in...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...
Multi-class image segmentation has made significant advances in recent years through the combination of local and global features. One important type of global feature is that of i...
Stephen Gould, Jim Rodgers, David Cohen, Gal Elida...
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
Color is one of the main visual cues and has been frequently used in image processing, analysis and retrieval. The extraction of highlevel color descriptors is an increasingly imp...
In content-based image retrieval, relevance feedback has been introduced to narrow the gap between low-level image feature and high-level semantic concept. Furthermore, to speed u...