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» Learning to Recognize Three-Dimensional Objects
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85
Voted
CVPR
2009
IEEE
1084views Computer Vision» more  CVPR 2009»
16 years 5 months ago
Describing Objects by their Attributes
We propose to shift the goal of recognition from naming to describing. Doing so allows us not only to name familiar objects, but also: to report unusual aspects of a familiar ob...
Ali Farhadi, David A. Forsyth, Derek Hoiem, Ian En...
CVPR
2010
IEEE
15 years 6 months ago
Comparative object similarity for improved recognition with few or no examples
Learning models for recognizing objects with few or no training examples is important, due to the intrinsic longtailed distribution of objects in the real world. In this paper, we...
Gang Wang, David Forsyth, Derek Hoiem
ICVS
1999
Springer
15 years 2 months ago
ADORE: Adaptive Object Recognition
Many modern computer vision systems are built by chaining together standard vision procedures, often in graphical programming environments such as Khoros, CVIPtools or IUE. Typical...
Bruce A. Draper, José Bins, Kyungim Baek
83
Voted
CVPR
2012
IEEE
13 years 18 days ago
Occlusion reasoning for object detection under arbitrary viewpoint
We present a unified occlusion model for object instance detection under arbitrary viewpoint. Whereas previous approaches primarily modeled local coherency of occlusions or attem...
Edward Hsiao, Martial Hebert
MVA
2007
127views Computer Vision» more  MVA 2007»
14 years 11 months ago
Appearance Manifold with Embedded Covariance Matrix for Robust 3D Object Recognition
We propose use of an appearance manifold with embedded covariance matrix as a technique for recognizing 3D objects from images that are influenced by geometric and quality-degrade...
Lina, Tomokazu Takahashi, Ichiro Ide, Hiroshi Mura...