120
click to vote
ECCV
2008
Springer
16 years 6 months ago
2008
Springer
As computer vision research considers more object categories and greater variation within object categories, it is clear that larger and more exhaustive datasets are necessary. How...
108
click to vote
ECCV
2008
Springer
16 years 6 months ago
2008
Springer
This paper tackles the problem of fitting multiple instances of a model to data corrupted by noise and outliers. The proposed solution is based on random sampling and conceptual da...
136
click to vote
ECCV
2008
Springer
16 years 6 months ago
2008
Springer
Sliding window classifiers are among the most successful and widely applied techniques for object localization. However, training is typically done in a way that is not specific to...
142
click to vote
ECCV
2008
Springer
16 years 6 months ago
2008
Springer
We present a new Gaussian Process inference algorithm, called Online Sparse Matrix Gaussian Processes (OSMGP), and demonstrate its merits with a few vision applications. The OSMGP ...
129
click to vote
ECCV
2008
Springer
16 years 6 months ago
2008
Springer
We propose a novel method for removing irrelevant frames from a video given user-provided frame-level labeling for a very small number of frames. We first hypothesize a number of c...