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ICML
2005
IEEE
14 years 5 months ago
Q-learning of sequential attention for visual object recognition from informative local descriptors
This work provides a framework for learning sequential attention in real-world visual object recognition, using an architecture of three processing stages. The first stage rejects...
Lucas Paletta, Gerald Fritz, Christin Seifert
SCIA
2005
Springer
211views Image Analysis» more  SCIA 2005»
13 years 10 months ago
Perception-Action Based Object Detection from Local Descriptor Combination and Reinforcement Learning
This work proposes to learn visual encodings of attention patterns that enables sequential attention for object detection in real world environments. The system embeds a saccadic d...
Lucas Paletta, Gerald Fritz, Christin Seifert
WAPCV
2007
Springer
13 years 10 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
ICRA
2008
IEEE
158views Robotics» more  ICRA 2008»
13 years 11 months ago
Informed visual search: Combining attention and object recognition
Abstract— This paper studies the sequential object recognition problem faced by a mobile robot searching for specific objects within a cluttered environment. In contrast to curr...
Per-Erik Forssén, David Meger, Kevin Lai, S...
NN
2006
Springer
218views Neural Networks» more  NN 2006»
13 years 4 months ago
Modeling attention to salient proto-objects
Selective visual attention is believed to be responsible for serializing visual information for recognizing one object at a time in a complex scene. But how can we attend to objec...
Dirk Walther, Christof Koch