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TempSAL - Uncovering Temporal Information for Deep Saliency Prediction

Publications associées (37)

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Object Classification and Detection in High Dimensional Feature Space

Charles Dubout

Object classification and detection aim at recognizing and localizing objects in real-world images. They are fundamental computer vision problems and a prerequisite for full scene understanding. Their difficulty lies in the large number of possible object ...

Programme doctoral en Informatique, Communications et Information2013

Auditory perceptual decision-making based on semantic categorization of environmental sounds

Fosco Bernasconi, Athina Tzovara

Discriminating complex sounds relies on multiple stages of differential brain activity. The specific roles of these stages and their links to perception were the focus of the present study. We presented 250 ms duration sounds of living and man-made objects ...

2012

Semantic Trajectories: Mobility Data Computation and Annotation

Karl Aberer, Stefano Spaccapietra, Christine Parent, Zhixian Yan, Dipanjan Chakraborty

With the large-scale adoption of GPS equipped mobile sensing devices, positional data generated by moving objects (e.g., vehicles, people, animals) are being easily collected. Such data are typically modeled as streams of spatio-temporal (x,y,t) points, ca ...

Assoc Computing Machinery2012

Electrical neuroimaging of memory discrimination based on single-trial multisensory learning

Micah Murray, Antonia Thelen

Multisensory experiences influence subsequent memory performance and brain responses. Studies have thus far concentrated on semantically congruent pairings, leaving unresolved the influence of stimulus pairing and memory sub-types. Here, we paired images w ...

Elsevier2012

A novel multi-aspect consistency measurement for ontologies

Zoltán Miklós, Zhao Lu

Web developers have started to integrate semantic information to their systems increasingly often. The semantic metadata embedded with the resources is typically linked to ontologies or taxonomies. Meta information can bring a number of advantages for user ...

2011

Rigorous Component-Based System Design Using the BIP Framework

Joseph Sifakis

An autonomous robot case study illustrates the use of the behavior, interaction, priority (BIP) component framework as a unifying semantic model to ensure correctness of essential system design properties. ...

Institute of Electrical and Electronics Engineers2011

The More you Learn, the Less you Store: Memory-controlled Incremental SVM for Visual Place Recognition

Barbara Caputo, Jie Luo

The capability to learn from experience is a key property for autonomous cognitive systems working in realistic settings. To this end, this paper presents an SVM- -based algorithm, capable of learning model representations incrementally while keeping under ...

Idiap2010

The More you Learn, the Less you Store: Memory-controlled Incremental SVM for Visual Place Recognition

Barbara Caputo, Jie Luo

The capability to learn from experience is a key property for autonomous cognitive systems working in realistic settings. To this end, this paper presents an SVM-based algorithm, capable of learning model representations incrementally while keeping under c ...

2010

This paper describes an ISO project which aims at developing a standard for annotating spoken and multimodal dialogue with semantic information concerning the communicative functions of utterances, the kind of semantic content they address, and their relat ...

2010

Workshop on Semantic Data Management: A Summary Report

Karl Aberer

The International Workshop on Semantic Data Management (SemData) was held in Singapore co-located with the VLDB Conference 2010, with the goal of serving as a platform for the discussion and investigation of various aspects related to semantic databases an ...

Association for Computing Machinery2010