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WAPCV
2007
Springer
15 years 8 months ago
Reinforcement Learning for Decision Making in Sequential Visual Attention
The innovation of this work is the provision of a system that learns visual encodings of attention patterns and that enables sequential attention for object detection in real world...
Lucas Paletta, Gerald Fritz
IWANN
2001
Springer
15 years 6 months ago
Neurobiological Modeling of Bursting Response During Visual Attention
: Thalamic neurons have an exclusive property named bursting response. Bursting response seems to have a critical role in producing saliency map and encoding conspicuity of locatio...
Reza Rajimehr, Leila Montaser Kouhsari
CHI
2006
ACM
16 years 2 months ago
Quantifying interpersonal influence in face-to-face conversations based on visual attention patterns
A novel measure for automatically quantifying the amount of interpersonal influence present in face-toface conversations is proposed based on the visualattention patterns of the p...
Kazuhiro Otsuka, Junji Yamato, Yoshinao Takemae, H...
CISS
2011
IEEE
14 years 5 months ago
Hardware accelerated visual attention algorithm
— We present a hardware-accelerated implementation of a bottom-up visual attention algorithm. This algorithm generates a multi-scale saliency map from differences in image intens...
Polina Akselrod, Faye Zhao, Ifigeneia Derekli, Cl&...
ICIP
2007
IEEE
15 years 8 months ago
Motion Detection using a Model of Visual Attention
Motion detection and estimation are known to be important in many automated surveillance systems. It has drawn significant research interest in the field of computer vision. This ...
Shijie Zhang, Fred Stentiford