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» Selecting What Is Important: Training Visual Attention
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ICASSP
2011
IEEE
12 years 9 months ago
A visual attention model combining top-down and bottom-up mechanisms for salient object detection
Selective attention in the human visual system is performed as the way that humans focus on the most important parts when observing a visual scene. Many bottom-up computational mo...
Yuming Fang, Weisi Lin, Chiew Tong Lau, Bu-Sung Le...
IROS
2008
IEEE
129views Robotics» more  IROS 2008»
13 years 11 months ago
Cross-modal body representation based on visual attention by saliency
Abstract— In performing various kinds of tasks, body representation is one of the most fundamental issues for physical agents (humans, primates, and robots). Especially during to...
Mai Hikita, Sawa Fuke, Masaki Ogino, Minoru Asada
IVC
2008
106views more  IVC 2008»
13 years 5 months ago
Attention links sensing to recognition
This paper presents arguments that explicit strategies for visual attentional selection are important for cognitive vision systems, and shows that a number of proposals currently ...
Albert L. Rothenstein, John K. Tsotsos
WAPCV
2004
Springer
13 years 10 months ago
Learning of Position-Invariant Object Representation Across Attention Shifts
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Muhua Li, James J. Clark
MM
2010
ACM
146views Multimedia» more  MM 2010»
13 years 5 months ago
Making computers look the way we look: exploiting visual attention for image understanding
Human Visual attention (HVA) is an important strategy to focus on specific information while observing and understanding visual stimuli. HVA involves making a series of fixations ...
Harish Katti, Subramanian Ramanathan, Mohan S. Kan...