We tackle the challenging task of unsupervised object localization in th...
Research shows a noticeable drop in performance of object detectors when...
In this paper, we introduce a new architecture for few shot learning, th...
Boosting is a method for finding a highly accurate hypothesis by linearl...
We tackle object category discovery, which is the problem of discovering...
The relative spatial layout of a human and an object is an important cue...
In recent years, attention models have been extensively used for person ...
We present an approach for detecting human-object interactions (HOIs) in...