UTCS Colloquium/AI - Vittorio Ferrari/Swiss Federal Institute of Technology Zurich "Visual Learning with Generic Knowledge", ACES 2.302
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Type of Talk: UTCS Colloquium/AI
rio Ferrari/Swiss Federal Institute of Technology Zurich
iday, December 3, 2010, 11:00 a.m.
Location: ACES 2.302
Talk Title: Visual Learning with Generic Knowledge
The dream of computer vision a machine capable of interp
reting images of complex scenes. Central to this goal is the ability to rec
ognize objects as belonging to classes and to localize them in the images.
In the traditional paradigm, each class is learned starting from scratch,
typically from training images where the location of objects is manually a
nnotated (fully supervised setting). In this talk, I will present a scenar
io where knowledge generic over classes is first learned from images of var
ious classes with given object locations and then employed to support learn
ing any new class without location annotation. Generic knowledge provides a
strong basis which facilitates learning in this weakly supervised setting.
This strategy enables learning from challenging images containing extensiv
e clutter and large scale and appearance variations between object instance
s. In turn, this opens the door to learning a large number of classes with
little manual labelling effort.
Vittorio Ferrari is an
Assistant Professor at the Swiss Federal Institute of Technology Zurich (E
THZ). After receiving his PhD from ETHZ in 2004, he was a post-doctoral re
searcher at INRIA Grenoble and the University of Oxford. His research inter
ests are in visual learning, with emphasis on reducing the amount of manua
l effort needed to learn visual concepts.
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