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ICCV
2009
IEEE
1331views Computer Vision» more  ICCV 2009»
15 years 27 days ago
I know what you did last summer: object-level auto-annotation of holiday snaps
The state-of-the art in visual object retrieval from large databases allows to search millions of images on the object level. Recently, complementary works have proposed systems ...
Stephan Gammeter, Lukas Bossard, Till Quack, Luc V...
CVPR
2004
IEEE
14 years 10 months ago
Accurate Face Models from Uncalibrated and Ill-Lit Video Sequences
In this paper, we propose a face reconstruction technique that produces models that not only look good when texture mapped, but are also metrically accurate. Our method is designe...
Miodrag Dimitrijevic, Slobodan Ilic, Pascal Fua
CVPR
2005
IEEE
14 years 10 months ago
Automatic Face Recognition for Film Character Retrieval in Feature-Length Films
The objective of this work is to recognize all the frontal faces of a character in the closed world of a movie or situation comedy, given a small number of query faces. This is ch...
Ognjen Arandjelovic, Andrew Zisserman
CVPR
2007
IEEE
14 years 10 months ago
A Nonparametric Treatment for Location/Segmentation Based Visual Tracking
In this paper, we address two closely related visual tracking problems: 1) localizing a target's position in low or moderate resolution videos and 2) segmenting a target'...
Le Lu, Gregory D. Hager
ECCV
2008
Springer
14 years 9 months ago
Beyond Nouns: Exploiting Prepositions and Comparative Adjectives for Learning Visual Classifiers
Learning visual classifiers for object recognition from weakly labeled data requires determining correspondence between image regions and semantic object classes. Most approaches u...
Abhinav Gupta, Larry S. Davis