Similarity metrics that are learned from labeled training
data can be advantageous in terms of performance
and/or efficiency. These learned metrics can then be used
in conjuncti...
We present a novel approach for detecting global behaviour
anomalies in multiple disjoint cameras by learning
time delayed dependencies between activities cross camera
views. Sp...
The filter flow problem is to compute a space-variant
linear filter that transforms one image into another. This
framework encompasses a broad range of transformations
including...
This paper proposes a fully automated 3D reconstruction
and visualization system for architectural scenes (interiors
and exteriors). The reconstruction of indoor environments
fr...
Yasutaka Furukawa, Brian Curless, Steven M. Seitz,...
Capturing multiple photos at different focus settings is a powerful approach for reducing optical blur, but how many photos should we capture within a fixed time budget? We develop...
Samuel W. Hasinoff, Kiriakos N. Kutulakos, Frédo ...
This paper presents a method for estimating geographic
location for sequences of time-stamped photographs. A
prior distribution over travel describes the likelihood of
traveling...
Evangelos Kalogerakis, Olga Vesselova, James Hays,...