Sciweavers

CVPR
2009
IEEE
3784views Computer Vision» more  CVPR 2009»
15 years 6 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...

2
posts
with
4429
views
508profile views Browse  My Posts »
jrruijliPostdoctoral
University of Trento
jrruijli

0
posts
with
0
views
347profile views
johnwinnResearch Scientist, PhD
Microsoft Research Cambridge
johnwinn
CVPR
2009
IEEE
15 years 6 months ago
Nonparametric Scene Parsing: Label Transfer via Dense Scene Alignment
In this paper we propose a novel nonparametric approach for object recognition and scene parsing using dense scene alignment. Given an input image, we retrieve its best matches ...
Antonio B. Torralba, Ce Liu, Jenny Yuen
CVPR
2009
IEEE
15 years 6 months ago
Recognizing Realistic Actions from Videos in the Wild
In this paper, we present a systematic framework for re-cognizing realistic actions from videos “in the wild.” Such unconstrained videos are abundant in personal collections as...
Jingen Liu (University of Central Florida), Jiebo ...
CVPR
2009
IEEE
2358views Computer Vision» more  CVPR 2009»
15 years 6 months ago
Pictorial Structures Revisited: People Detection and Articulated Pose Estimation
Non-rigid object detection and articulated pose estimation are two related and challenging problems in computer vision. Numerous models have been proposed over the years and oft...
Mykhaylo Andriluka (TU Darmstadt), Stefan Roth (TU...
CVPR
2009
IEEE
1561views Computer Vision» more  CVPR 2009»
15 years 6 months ago
SURFTrac: Efficient Tracking and Continuous Object Recognition using Local Feature Descriptors
We present an efficient algorithm for continuous image recognition and feature descriptor tracking in video which operates by reducing the search space of possible interest poin...
Duy-Nguyen Ta (Georgia Institute of Technology), W...