Learning Local Receptive Fields and their Weight Sharing Scheme on Graphs

We propose a simple and generic layer formulation that extends the properties of convolutional layers to any domain that can be described by a graph. Namely, we use the support of its adjacency matrix to design learnable weight sharing filters able to exploit the underlying structure of signals in the same fashion as for images. The proposed formulation makes it possible to learn the weights of the filter as well as a scheme that controls how they are shared across the graph. We perform validation experiments with image datasets and show that these filters offer performances comparable with convolutional ones.Comment: To appear in 2017, 5th IEEE Global Conference on Signal and Information Processing, 5 pages, 3 figures, 3 table

A model of bottom-up visual attention using cortical magnification

International audienceThe focus of visual attention has been argued to play a key role in object recognition. Many computational models of visual attention were proposed to estimate locations of eye fixations driven by bottom-up stimuli. Most of these models rely on pyramids consisting of multiple scaled versions of the visual scene. This design aims at capturing the fact that neural cells in higher visual areas tend to have larger receptive fields (RFs). On the other hand, very few models represent multi-scaling resulting from the eccentricity-dependent RF sizes within each visual layer, also known as the cortical magnification effect. In this paper, we demonstrate that using a cortical-magnification-like mechanism can lead to performant alternatives to pyramidal approaches in the context of attentional modeling. Moreover, we argue that introducing such a mechanism equips the proposed model with additional properties related to overt attention and distance-dependent saliency that are worth exploring

Collaborative model of interaction and Unmanned Vehicle Systems' interface

The interface for the next generation of Unmanned Vehicle Systems should be an interface with multi-modal displays and input controls. Then, the role of the interface will not be restricted to be a support of the interactions between the ground operator and vehicles. Interface must take part in the interaction management too. In this paper, we show that recent works in pragmatics and philosophy provide a suitable theoretical framework for the next generation of UV System's interface. We concentrate on two main aspects of the collaborative model of interaction based on acceptance: multi-strategy approach for communicative act generation and interpretation and communicative alignment

Un algorithme génétique interactif pour des problèmes de tournées de véhicules

National audienceNous proposons un algorithme génétique interactif pour la résolution de problèmes de tournées de véhicules. Dans le processus d’optimisation, les tâches sont clairement réparties entre l’humain et la machine : le système affiche graphiquement les solutions de la population courante, l’humain les inspecte visuellement et exprime des préférences de type « j’aime » ou « je n’aime pas » en spécifiant les parties qu’il juge intéressantes ou non intéressantes. Avant de générer une nouvelle population, ces annotations humaines sur les phénotypes sont traduites sur les génotypes pour pouvoir être prises en compte par l’algorithme génétique

Analyse de la tâche d'un pilote de Rafale à l'aide d'une HTA étendue à la gestion des modes dégradés

International audienceCette communication présente l'adaptation de la méthode HTA pour l'étude d'une situation dynamique incertaine et coopérative : une mission militaire aérienne réalisée par un pilote de chasse à bord d'un avion Rafale. Les boucles - perception, représentation, action - caractéristiques de la gestion d'une situation dynamique sont intégrées dans la HTA sous la forme de buts de haut-niveau. La mise en évidence de plans contingents permet de rendre compte de la gestion de l'incertitude et des situations dégradées. Enfin, la coopération multiagents est décrite par un codage des tâches de communication précisant la fonction, l'objet et les acteurs impliqués. Finalement, les intérêts et les limites de l'application de la méthode HTA dans le cadre des situations dynamiques sont discutés

A Low-Cost Natural User Interaction Based on a Camera Hand-Gestures Recognizer

International audienceThe search for new simplified interaction techniques is mainly motivated by the improvements of the communication with interactive devices. In this paper, we present an interactive TVs module capable of recognizing human gestures through the PS3Eye low-cost camera. We recognize gestures by the tracking of human skin blobs and analyzing the corresponding movements. It provides means to control a TV in an ubiquitous computing environment. We also present a new free gestures icons library created to allow easy representation and diagramming

A Framework for a Priori Evaluation of Multimodal User Interfaces Supporting Cooperation

International audienceIn this short paper we will present our latest research on a new framework being developed for aiding novice designers of highly interactive, cooperative, multimodal systems to make expert decisions in choice of interaction modalities depending on the type of activity and its cooperative nature. Our research is conducted within the field of maritime surveillance the next generation distributed multimodal work support

Expert evaluation of the usability of HeloVis: a 3D Immersive Helical Visualization for SIGINT Analysis

International audienceThis paper presents an evaluation of HeloVis: a 3D interactive visualization that relies on immersive properties to improve user performance during SIGnal INTelligence (SIGINT) analysis. HeloVis draws on perceptive biases, highlighted by Gestalt laws, and on depth perception to enhance the recurrence properties contained in the data. In this paper, we briefly recall what is SIGINT, the challenges that it brings to visual analytics, and the limitations of state of the art SIGINT tools. Then, we present HeloVis, and we evaluate its efficiency through the results of an evaluation that we have made with civil and military operators who are the expert end-users of SIGINT analysis