The success of information supply strongly depends on successful user adoption. This especially is the case for the integration of non-human information sources deriving from ubiqu...
Retrieving human actions from video databases is a paramount but challenging task in computer vision. In this work, we develop such a framework for robustly recognizing human acti...
We propose a novel directed graphical model for label propagation in lengthy and complex video sequences. Given hand-labelled start and end frames of a video sequence, a variation...
Ignas Budvytis, Vijay Badrinarayanan, Roberto Cipo...
Abstract. This paper presents the first independent and systematic linear, differential and impossible-differential (ID) cryptanalyses of MIBS, a lightweight block cipher aimed at ...
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...