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Tutorials

The role of the tutorials is to provide a platform for a more intensive scientific exchange amongst researchers interested in a particular topic and as a meeting point for the community. Tutorials complement the depth-oriented technical sessions by providing participants with broad overviews of emerging fields. A tutorial can be scheduled for 1.5 or 3 hours.

Tutorial proposals are accepted until:

January 10, 2019


If you wish to propose a new Tutorial please kindly fill out and submit this Expression of Interest form.



Tutorial on
A guided tour of computational modelling of visual attention




Abstract

Since the first computational model of visual attention, proposed in 1998 by Itti et al. [1], a lot of progress has been made. Progress concern both the modelling in itself and the way we assess the performance of saliency models. Recently, new advances in machine learning, more specifically in deep learning, have brought a new momentum in this field. In this tutorial, we present saliency models as well as the metrics used to assess their performances. In particular, we will empathize new saliency models which are based on convolutional neural networks. We will present different deep architectures and the different loss functions used during the training process. We will conclude this presentation by introducing saccadic models [2,3] which are a generalization of saliency models [1] Itti, L., Koch, C., & Niebur, E. (1998). A model of saliency-based visual attention for rapid scene analysis. IEEE Transactions on pattern analysis and machine intelligence, 20(11), 1254-1259. [2] Le Meur, O., & Liu, Z. (2015). Saccadic model of eye movements for free-viewing condition. Vision research, 116, 152-164. [3] Le Meur, O., & Coutrot, A. (2016). Introducing context-dependent and spatially-variant viewing biases in saccadic models. Vision research, 121, 72-84.













Secretariat Contacts
e-mail: visigrapp.secretariat@insticc.org

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