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CVPR
2006
IEEE
14 years 9 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
14 years 8 days 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
14 years 9 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
14 years 9 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...
CHI
2003
ACM
14 years 7 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...