2. WAPCV 2004: Prague, Czech Republic

Lucas Paletta, John K. Tsotsos, Erich Rome, Glyn W. Humphreys (Eds.): Attention and Performance in Computational Vision, Second International Workshop, WAPCV 2004, Prague, Czech Republic, May 15, 2004, Revised Selected Papers. Lecture Notes in Computer Science 3368 Springer 2004, ISBN 3-540-24421-2

Attention in Object and Scene Recognition

Ola Ramström, Henrik I. Christensen:
Distributed Control of Attention. 1-15
Tamar Avraham, Michael Lindenbaum:
Inherent Limitations of Visual Search and the Role of Inner-Scene Similarity. 16-28
Gerald Fritz, Christin Seifert, Lucas Paletta, Horst Bischof:
Attentive Object Detection Using an Information Theoretic Saliency Measure. 29-41

Linda J. Lanyon, Susan L. Denham:
A Model of Object-Based Attention That Guides Active Visual Search to Behaviourally Relevant Locations. 42-56
Muhua Li, James J. Clark:
Learning of Position-Invariant Object Representation Across Attention Shifts. 57-70
Claudio M. Privitera, Orazio Gallo, Giorgio Grimoldi, Toyomi Fujita, Lawrence W. Stark:
Combining Conspicuity Maps for hROIs Prediction. 71-82
Daniel A. Gajewski, Aaron M. Pearson, Michael L. Mack, Francis N. Bartlett III, John M. Henderson:
Human Gaze Control in RealWorld Search. 83-99

Gustavo Deco:
The Computational Neuroscience ofVisual Cognition: Attention, Memory and Reward. 100-117
Fred Henrik Hamker:
Modeling Attention: From Computational Neuroscience to Computer Vision. 118-132
Andrei Zaharescu, Albert L. Rothenstein, John K. Tsotsos:
Towards a Biologically Plausible Active Visual Search Model. 133-147
Dietmar Heinke, Yaoru Sun, Glyn W. Humphreys:
Modeling Grouping Through Interactions Between Top-Down and Bottom-Up Processes: The Grouping and Selective Attention for Identification Model (G-SAIM). 148-158
Albert L. Rothenstein, Andrei Zaharescu, John K. Tsotsos:
TarzaNN: A General Purpose Neural Network Simulator for Visual Attention Modeling. 159-167

Simone Frintrop, Andreas Nüchter, Hartmut Surmann:
Visual Attention for Object Recognition in Spatial 3D Data. 168-182
Nabil Ouerhani, Heinz Hügli, Gabriel Gruener, Alain Codourey:
A Visual Attention-Based Approach for Automatic Landmark Selection and Recognition. 183-195
Sang-Woo Ban, Minho Lee:
Biologically Motivated Visual Selective Attention for Face Localization. 196-205
Antonio Fernández-Caballero, María T. López, Miguel Angel Fernández, José Mira, Ana E. Delgado García, José M. López-Valles:
Accumulative Computation Method for Motion Features Extraction in Active Selective Visual Attention. 206-215
Nan Hu, Weimin Huang, Surendra Ranganath:
Fast Detection of Frequent Change in Focus of Human Attention. 216-230

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