Spatiotemporal data is associated with vast amounts of raw samples. Given the limited computational resources typically available, an initial organization of this data supporting
...
In this paper, we propose a new method that infers accurate depth maps and color-consistent images between radiometrically varying stereo images, simultaneously. In general, stereo...
Yong Seok Heo (Seoul National University), Kyoung ...
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...
Minsu Cho (Seoul National University), Jungmin Lee...
I am a PhD student at the Visual Geometry Group, University of Oxford. I am supervised by Prof. Andrew Zisserman and Prof. Andrew Blake. Before coming to Oxford , I spent four amaz...
Motion and interaction with the environment are fundamentally
intertwined. Few people-tracking algorithms exploit
such interactions, and those that do assume that surface
geomet...
Fast retrieval methods are critical for large-scale and
data-driven vision applications. Recent work has explored
ways to embed high-dimensional features or complex distance
fun...
Image contour detection is fundamental to many image
analysis applications, including image segmentation, object
recognition and classification. However, highly accurate
image c...
Bryan Catanzaro, Bor-Yiing Su, Narayanan Sundaram,...
In many recent object recognition systems, feature extraction
stages are generally composed of a filter bank, a
non-linear transformation, and some sort of feature pooling
layer...
Kevin Jarrett, Koray Kavukcuoglu, Marc’Aurelio R...
In this paper we propose an algorithm to estimate missing
values in tensors of visual data. The values can be missing
due to problems in the acquisition process, or because
the ...
Ji Liu, Przemyslaw Musialski, Peter Wonka, Jieping...