There has been a growing interest in exploiting contextual information in addition to local features to detect and localize multiple object categories in an image. Context models ...
Myung Jin Choi, Joseph Lim, Antonio Torralba, Alan...
Mean shift is a popular approach for data clustering, however, the high computational complexity of the mean shift procedure limits its practical applications in high dimensional ...
Median-shift is a mode seeking algorithm that relies on
computing the median of local neighborhoods, instead of
the mean. We further combine median-shift with Locality
Sensitive...
Floor control is a scheme used by people to organize speaking turns in multi-party conversations. Identifying the floor control shifts is important for understanding a conversati...
Automatic counting of people, entering or exiting a region of interest, is very important for both business and security applications. This paper introduces an automatic and robus...