This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...
Abstract. In this paper our purpose is to present some solutions to multiple object tracking in an image sequence with a real time constraint and a possible mobile camera. We propo...
We propose solutions for seamlessly integrating synthetic objects into background photographs at interactive rates. Recently developed image-based methods are used to capture real...
A novel scheme is proposed for achieving motion segmentation in low-frame rate videos, with application to temporal super resolution. Probabilistic generative models are commonly ...
In this paper, we present sketchy-ar-us, a modified, real-time version of the Loose and Sketchy algorithm used to render graphics in an AR environment. The primary challenge was ...
Michael Haller, Florian Landerl, Mark Billinghurst