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ACCV
2007
Springer
13 years 9 months ago
Unsupervised Identification of Multiple Objects of Interest from Multiple Images: dISCOVER
Given a collection of images of offices, what would we say we see in the images? The objects of interest are likely to be monitors, keyboards, phones, etc. Such identification of t...
Devi Parikh, Tsuhan Chen
PCI
2005
Springer
13 years 10 months ago
Unsupervised Learning of Multiple Aspects of Moving Objects from Video
A popular framework for the interpretation of image sequences is based on the layered model; see e.g. Wang and Adelson [8], Irani et al. [2]. Jojic and Frey [3] provide a generativ...
Michalis K. Titsias, Christopher K. I. Williams
MVA
2002
186views Computer Vision» more  MVA 2002»
13 years 4 months ago
Identifying Body Parts of Multiple People in Multi-Camera Images
In order to track and recognize the movements of multiple people using multiple cameras, each person needs to be segmented and identified in the image of each camera. We propose a...
Masafumi Tominaga, Hitoshi Hongo, Hiroyasu Koshimi...
CVPR
2009
IEEE
14 years 11 months ago
D - Clutter: Building object model library from unsupervised segmentation of cluttered scenes
Autonomous systems which learn and utilize a limited visual vocabulary have wide spread applications. Enabling such systems to segment a set of cluttered scenes into objects is ...
Chandra Kambhamettu, Dimitris N. Metaxas, Gowri So...
ECCV
2008
Springer
14 years 6 months ago
Object Recognition by Integrating Multiple Image Segmentations
The joint tasks of object recognition and object segmentation from a single image are complex in their requirement of not only correct classification, but also deciding exactly whi...
Caroline Pantofaru, Cordelia Schmid, Martial Heber...