We present a Dynamic Data Driven Application System (DDDAS) to track 2D shapes across large pose variations by learning non-linear shape manifold as overlapping, piecewise linear s...
We present a fast deformation-based method for building time-varying surface models of dynamic objects from multiview video streams. Starting from an initial mesh representation, ...
We consider typical manipulation tasks in terms of a service robot framework. Given a task at hand, such as ”Pick up the cup from the dinner table”, we present a number of diff...
Most broadcast stations rely on TV logos to claim video content ownership or visually distinguish the broadcast from the interrupting commercial block. Detecting and tracking a TV...
Abstract--Context plays a valuable role in any image understanding task confirmed by numerous studies which have shown the importance of contextual information in computer vision t...
Sobhan Naderi Parizi, Ivan Laptev, Alireza Tavakol...