Over the past decade, multiple-instance learning (MIL)
has been successfully utilized to model the localized
content-based image retrieval (CBIR) problem, in which a
bag corresp...
Wu-Jun Li (Hong Kong University of Science and Tec...
We present a simple framework to model contextual
relationships between visual concepts. The new framework
combines ideas from previous object-centric methods
(which model conte...
Nikhil Rasiwasia (University Of California, San Di...
Can we discover common object shapes within unlabeled
multi-category collections of images? While often a critical
cue at the category-level, contour matches can be difficult
to...
Yong Jae Lee (University of Texas at Austin), Kris...
Efficient view registration with respect to a given 3D reconstruction
has many applications like inside-out tracking
in indoor and outdoor environments, and geo-locating images
...
Arnold Irschara (Graz University of Technology), C...
This paper presents a method for evaluating multiple feature spaces while tracking, and for adjusting the set of features used to improve tracking performance. Our hypothesis is t...