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ECCV
2010
Springer
13 years 9 months ago
Voting by Grouping Dependent Parts
Hough voting methods efficiently handle the high complexity of multiscale, category-level object detection in cluttered scenes. The primary weakness of this approach is however t...
Pradeep Yarlagadda, Antonio Monroy and Bjorn Ommer
211
Voted
CVPR
2012
IEEE
13 years 8 months ago
Stream-based Joint Exploration-Exploitation Active Learning
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
Chen Change Loy, Timothy M. Hospedales, Tao Xiang,...
196
Voted
JMLR
2012
13 years 6 months ago
Learning Low-order Models for Enforcing High-order Statistics
Models such as pairwise conditional random fields (CRFs) are extremely popular in computer vision and various other machine learning disciplines. However, they have limited expre...
Patrick Pletscher, Pushmeet Kohli
143
Voted
PAMI
2012
13 years 6 months ago
Pedestrian Detection: An Evaluation of the State of the Art
—Pedestrian detection is a key problem in computer vision, with several applications that have the potential to positively impact quality of life. In recent years, the number of ...
Piotr Dollár, Christian Wojek, Bernt Schiel...
170
Voted
PAMI
2012
13 years 6 months ago
Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses
—Detecting objects in cluttered scenes and estimating articulated human body parts from 2D images are two challenging problems in computer vision. The difficulty is particularly...
Bangpeng Yao, Fei-Fei Li
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