6th International Symposium on Attention in Cognitive Systems 2013
Lucas Paletta (JOANNEUM RESEARCH Forschungsgesellschaft mbH), Laurent, Itti (University of Southern California, USA), Bj\"orn Schuller (Technische, Universit\"at M\"unchen, Germany), Fang Fang (Peking University, China)

TL;DR
This symposium volume compiles interdisciplinary research on computational models of attention in cognitive systems, emphasizing their role in visual cognition, performance, and applications across AI, neuroscience, and psychology.
Contribution
It provides a comprehensive overview of recent advances and interdisciplinary approaches to modeling attention in cognitive systems, fostering collaboration across fields.
Findings
Highlighting the importance of attention in visual cognition
Identifying promising application domains for attention models
Discussing performance metrics and interdependencies in attention systems
Abstract
This volume contains the papers accepted at the 6th International Symposium on Attention in Cognitive Systems (ISACS 2013), held in Beijing, August 5, 2013. The aim of this symposium is to highlight the central role of attention on various kinds of performance in cognitive systems processing. It brings together researchers and developers from both academia and industry, from computer vision, robotics, perception psychology, psychophysics and neuroscience, in order to provide an interdisciplinary forum to present and communicate on computational models of attention, with the focus on interdependencies with visual cognition. Furthermore, it intends to investigate relevant objectives for performance comparison, to document and to investigate promising application domains, and to discuss visual attention with reference to other aspects of AI enabled systems.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCognitive Science and Mapping
