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» Object Detection Using Multi-local Feature Manifolds
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ICCV
2011
IEEE
12 years 10 months ago
Segmentation as Selective Search for Object Recognition
Software available at http://disi.unitn.it/~uijlings or http://koen.me/research/ For object recognition, the current state-of-the-art is based on exhaustive search. However, to ...
K van de Sande, J Uijlings, T Gevers, A Smeulders
CAD
2008
Springer
13 years 9 months ago
Identification of C1 and C2 discontinuities for surface meshes in CAD
In computer-aided design and meshing, it is often important to identify the discontinuities (singularities) in coarse surface meshes. Due to the potential low resolution and noise...
Xiangmin Jiao, Narasimha R. Bayyana
CVPR
2011
IEEE
13 years 5 months ago
Interactively Building a Discriminative Vocabulary of Nameable Attributes
Human-nameable visual attributes offer many advantages when used as mid-level features for object recognition, but existing techniques to gather relevant attributes can be ineffici...
Devi Parikh, Kristen Grauman
PAMI
2012
11 years 11 months ago
A Tree-Based Context Model for Object Recognition
—There has been a growing interest in exploiting contextual information in addition to local features to detect and localize multiple object categories in an image. A context mod...
Myung Jin Choi, Antonio Torralba, Alan S. Willsky
ICDAR
2005
IEEE
14 years 2 months ago
Mode detection in on-line pen drawing and handwriting recognition
On-line pen input benefits greatly from mode detection when the user is in a free writing situation, where he is allowed to write, to draw, and to generate gestures. Mode detecti...
Don Willems, Stéphane Rossignol, Louis Vuur...