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156
Voted
CVPR
2009
IEEE
1096views Computer Vision» more  CVPR 2009»
16 years 10 months ago
How far can you get with a modern face recognition test set using only simple features?
In recent years, large databases of natural images have become increasingly popular in the evaluation of face and object recognition algorithms. However, Pinto et al. previously ...
Nicolas Pinto, James J. DiCarlo, David D. Cox
CVPR
2009
IEEE
3784views Computer Vision» more  CVPR 2009»
16 years 10 months ago
What is the Spatial Extent of an Object?
This paper discusses the question: Can we improve the recognition of objects by using their spatial context? We start from Bag-of-Words models and use the Pascal 2007 dataset. We u...
Arnold W. M. Smeulders, Jasper R. R. Uijlings, Rem...
CVPR
2009
IEEE
4292views Computer Vision» more  CVPR 2009»
16 years 10 months ago
Curved Glide-Reflection Symmetry Detection
We generalize reflection symmetry detection to a curved glide-reflection symmetry detection problem. We propose a unifying, local feature-based approach for curved glidereflectio...
Seungkyu Lee, Yanxi Liu
161
Voted
CVPR
2009
IEEE
1148views Computer Vision» more  CVPR 2009»
16 years 10 months ago
Shape Constrained Figure-Ground Segmentation and Tracking
Global shape information is an effective top-down complement to bottom-up figure-ground segmentation as well as a useful constraint to avoid drift during adaptive tracking. We p...
Zhaozheng Yin, Robert T. Collins
204
Voted
CVPR
2009
IEEE
1216views Computer Vision» more  CVPR 2009»
16 years 10 months ago
Marked Point Processes for Crowd Counting
A Bayesian marked point process (MPP) model is developed to detect and count people in crowded scenes. The model couples a spatial stochastic process governing number and placem...
Robert T. Collins, Weina Ge