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ECCV
2008
Springer
14 years 9 months ago
Weakly Supervised Object Localization with Stable Segmentations
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
Carolina Galleguillos, Boris Babenko, Andrew Rabin...
ICRA
2007
IEEE
129views Robotics» more  ICRA 2007»
14 years 1 months ago
Scene Matching between a Map and a Hand Drawn Sketch Using Spatial Relations
—The goal of this work is to determine the object correspondence between a sketched map and the scene depicted by the sketch, e.g., as represented by an occupancy grid map (OGM) ...
Gaurav Parekh, Marjorie Skubic, Ozy Sjahputera, Ja...
CVPR
1999
IEEE
14 years 9 months ago
Background Estimation and Removal Based on Range and Color
Background estimation and removal based on the joint use of range and color data produces superior results than can be achieved with either data source alone. This is increasingly...
Gaile G. Gordon, Trevor Darrell, Michael Harville,...
MTA
2002
195views more  MTA 2002»
13 years 7 months ago
Shot Partitioning Based Recognition of TV Commercials
Digital video applications exploit the intrinsic structure of video sequences. In order to obtain and represent this structure for video annotation and indexing tasks, the main ini...
Juan María Sánchez, Xavier Binefa, J...
MM
2006
ACM
221views Multimedia» more  MM 2006»
14 years 1 months ago
Video object segmentation by motion-based sequential feature clustering
Segmentation of video foreground objects from background has many important applications, such as human computer interaction, video compression, multimedia content editing and man...
Mei Han, Wei Xu, Yihong Gong