default search action
2. WAPCV 2004: Prague, Czech Republic
- Lucas Paletta, John K. Tsotsos, Erich Rome, Glyn W. Humphreys:
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
Architectures for Sequential Attention
- 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
Biologically Plausible Models for Attention
- Gustavo Deco:
The Computational Neuroscience ofVisual Cognition: Attention, Memory and Reward. 100-117 - Fred H. 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
Applications of Attentive Vision
- 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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.