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» Object Recognition using Junctions
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PAMI
2011
14 years 27 days ago
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
Yang Wang 0003, Greg Mori
CVPR
2008
IEEE
16 years 2 days ago
Small codes and large image databases for recognition
The Internet contains billions of images, freely available online. Methods for efficiently searching this incredibly rich resource are vital for a large number of applications. Th...
Antonio B. Torralba, Robert Fergus, Yair Weiss
ACIVS
2006
Springer
15 years 1 months ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho
PSIVT
2009
Springer
139views Multimedia» more  PSIVT 2009»
15 years 4 months ago
Recognizing Multiple Objects via Regression Incorporating the Co-occurrence of Categories
Abstract. Most previous methods for generic object recognition explicitly or implicitly assume that an image contains objects from a single category, although objects from multiple...
Takahiro Okabe, Yuhi Kondo, Kris M. Kitani, Yoichi...
CVPR
2004
IEEE
16 years 2 days ago
Probabilistic Identity Characterization for Face Recognition
We present a general framework for characterizing the object identity in a single image or a group of images with each image containing a transformed version of the object, with a...
Shaohua Kevin Zhou, Rama Chellappa