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ICCV
2011
IEEE
14 years 2 months ago
Actively Selecting Annotations Among Objects and Attributes
We present an active learning approach to choose image annotation requests among both object category labels and the objects’ attribute labels. The goal is to solicit those labe...
Adriana Kovashka, Sudheendra Vijayanarasimhan, Kri...
ICCV
2009
IEEE
1331views Computer Vision» more  ICCV 2009»
16 years 7 months ago
I know what you did last summer: object-level auto-annotation of holiday snaps
The state-of-the art in visual object retrieval from large databases allows to search millions of images on the object level. Recently, complementary works have proposed systems ...
Stephan Gammeter, Lukas Bossard, Till Quack, Luc V...
128
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CVPR
1998
IEEE
16 years 4 months ago
Stereo and Color Analysis for Dynamic Obstacle Avoidance
We develop a vision system for highly mobile autonomous agents that is capable of dynamic obstacle avoidance. We demonstrate the robust performance of the system in artificial ani...
Tamer F. Rabie, Demetri Terzopoulos
CVPR
2005
IEEE
16 years 4 months ago
Statistical Cue Integration for Foveated Wide-Field Surveillance
Reliable detection of human activity is an unsolved problem. The main is that low resolution and the unconstrained nature of realistic environments and human behaviourmakeform cue...
Simon J. D. Prince, James H. Elder, Yuqian Hou, Mi...
CVPR
2008
IEEE
16 years 4 months ago
Combining brain computer interfaces with vision for object categorization
Human-aided computing proposes using information measured directly from the human brain in order to perform useful tasks. In this paper, we extend this idea by fusing computer vis...
Ashish Kapoor, Pradeep Shenoy, Desney S. Tan