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CVPR
2006
IEEE
15 years 11 months ago
An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed
Integration of goal-driven, top-down attention and image-driven, bottom-up attention is crucial for visual search. Yet, previous research has mostly focused on models that are pur...
Vidhya Navalpakkam, Laurent Itti
ISNN
2010
Springer
15 years 2 months ago
Visual Selection and Attention Shifting Based on FitzHugh-Nagumo Equations
In this paper, we make some analysis on the FitzHugh-Nagumo model and improve it to build a neural network, and the network is used to implement visual selection and attention shif...
Haili Wang, Yuanhua Qiao, Lijuan Duan, Faming Fang...
ICIP
2003
IEEE
15 years 11 months ago
Top-down control of visual attention in object detection
Current computational models of visual attention focus on bottom-up information and ignore scene context. However, studies in visual cognition show that humans use context to faci...
Aude Oliva, Antonio B. Torralba, Monica S. Castelh...
ICIP
2006
IEEE
15 years 11 months ago
A Rarity-Based Visual Attention Map - Application to Texture Description
This paper describes a simple and "pre-cortical" visual attention model, which does not take image directions into account. We compute rarity-based saliency maps and the...
Benoit M. Macq, Bernard Gosselin, Céline Ma...
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CHI
2003
ACM
15 years 9 months ago
AuraMirror: artistically visualizing attention
We present AuraMirror, a system that visualizes virtual windows of attention: the commodity of visual attention people exchange during interactions in small groups. AuraMirror act...
Alexander W. Skaburskis, Jeffrey S. Shell, Roel Ve...