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Representation and manipulation of highly detailed shapes – RichShape
In the context of computer graphics, this project aims to enhance the realism and visual richness of digital images. More precisely, our goal is to design novel representations for the efficient rendering of highly detailed 3D objects. First, the focus will be put on the representation of mesoscale
Computational Resources and Processing for Regional Languages – RESTAURE
Research aimed at producing resources and tools for low-resourced languages currently experiences a resurgence of interest, in particular through the creation of corpora and lexicons. The ultimate goal is to help preserve and disseminate cultural heritage. Regional languages of France can be consid
Creative Dynamics of Improvised Interaction – DYCI2
The "Dynamics of Creative Improvised Interaction" project involves the creation, adaptation and implementation of effective and efficient models of artificial listening, machine learning, interaction and on-line creation of musical content, to enable the establishment of digital musical agents. Thes
Cultural crowdsourcing and crowdfunding platforms : cultural democratization or reinforcing the norms of cultural, media and creative industries? – COLLAB
This research project focuses on the analysis of cultural crowdsourcing and crowdfunding platforms in France, the United States, as well as in South America and Africa. These platforms allow the « crowd » of Internet users to take part in the production and financing of diverse projects in the field
Innovative Techniques for the Advanced Learning Of Distributional Compositionality – ITALODISCO
This project aims to model semantic compositionality in a fully automatic and unsupervised way. Up till now, most work on the automatic acquisition of semantics only deals with individual words. The modeling of meaning beyond the level of individual words - i.e. the combination of words into larger
Interaction with Spatial Augmented Reality – ISAR
Interaction in Spatial Augmented Reality has been little explored. The characteristics of the used medium challenge the traditional approaches, and new techniques must be explored. see https://project.inria.fr/isar/projects Beyond conventional display methods based on screens or planar projections,
Multi-dimensional Map Multiplexing – MapMuxing
Mapping applications such as Google Maps or the French Géoportail provide a wide range of users with on-demand mapping. But combining data sources, merging different representations, and in some cases navigating maps remains tedious and cognitively demanding. For instance, users are unable to easily
Extraction and Transfer of Knowledge in Reinforcement Learning – ExTra-Learn
In the near future, intelligent and autonomous systems will become more ubiquitous and pervasive in applications such as autonomous robotics, design of intelligent personal assistants, and management of energy smart grids. Although very diverse, these applications call for the development of deci
High performance touch interactions – TurboTouch
Touch surfaces have become the preferred way of interacting with interactive systems, such as desktops, smartphones or tablets. Interaction with these surfaces can be direct or indirect, de-pending on whether it is co-located with the interactive content or not. In both cases, the transfer functions
Learning Model Constraints for Structured Prediction – LearnCost
Structured output prediction based on discriminatively trained probabilistic graphical models is a powerful framework that has lead to a large improvement in predictive systems in the past decade. These models, however, often require strong a priori constraints to guarantee tractable inference proc
Temporal Exploration with Raster Algorithm as Novel Visualization Algorithms – TERANOVA
Our goal in this project is to explore new computing techniques with pixel based algorithm to provide efficient visualizations and user interfaces for the exploration of large datasets of time-dependent data. This project theme lies within the basic research category. It is positioned within the are
Key technologies in IOT based fetal movement monitoring and pregnant women’s health assessments – IOTFetMov
1) development of a new accurate and robust method for automatically detecting the well-being of fetus and interpreting fetal movements, 2) design of a multi-scale fetal monitoring sensor to overcome the difficult that a single sensor cannot distinguish the fetal signal from the false dynamic sign
Virtual Reality for Training Doctors to Break Bad News – ACORFORMed
This project aims at exploring the question of multimodal natural language interaction, its theoretical basis and its experimentation into a virtual reality environment thanks to the development of an embodied conversational agent with high-level natural language communication skills. This naturally
Generating Text from Semantic Web Data – WEB-NLG
The two main goals of the WebNLG project are: 1. to develop techniques and tools for verbalising data encoded in a format supported by the semantic web (OWL,RDF). Emphasis will be on generating short text of high quality as required by longer user queries or by the verbalisation of class descript
Analysis and Understanding of Document Images in Network Media – AUDINM
In the AUDINM project, we are combining efforts and expertise of two research labs from document analysis community towards achieving the goal of mining and retrieval of weakly structured contents of social networks. We focus mainly on two types of the large set of different images on social netw
Acurate Human Modeling in Video – ACHMOV
The technological advancements made over the past decade now allow the acquisition of vast amounts of visual information through the use of image capturing devices like digital cameras or camcorders. A central subject of interest in video are the humans, their motions, actions or expressions, the w
Fostering Uses and Usages of Open Sensor Data in Smart Cities – OpenSensingCity
The main goal of the project is decomposed into the following scientific objectives: O1. Develop ontologies for smart cities. Having well formalised ontologies will allow the description of sensors, data and services that are deployed, produced or used in the context of smart cities. This will impr
Transdisciplinary epistemology of digital technologies for the design of a new tool and format for collaborative categorization to be integrated in interpretation tools for research, education and publishing – EPISTEME
The project objective is to explore the epistemological changes in science in general, starting from the analysis and the development of scientific instruments. The project focuses on two experiments in the field of astrophysics and history to draw lessons that may be applicable to other disciplines
Big Data Network – MDK
In a broad range of application areas, data is produced at a scale so that it cannot be managed with conventional technologies. This has led to the emergence of the Big Data phenomenon requiring new tools for collecting, querying and mining large sets of data. Heterogeneous data collected in a m
The festival galleries – GaFes
Festivals are gaining an increasing success and some of them, such as Cannes or Avignon, produce a significant activity on the Web. This project proposes to analyze this activity to better understand the festival practices and to develop access and visualization methods for the contents generated du
Models for Adaptative feedback enriChment and Orchestration based virtual realitY in Critical situations – MacCoy Critical
Project McCoy Critical aims to study and to improve training systems using simulation and virtual environments in medical education (anaesthesia, obstetrics and gynaecology) and in driving education (novice drivers during the first months of autonomous driving). The project focuses on non-technical
Reusable musical data for contextual usage – DOREMUS
Music is everywhere – played, recorded, broadcast, listened to, sold, given or rented. Files of recorded music are all over the web – stored, streamed, shared or sold. Yet nothing is harder today than finding the history of a musical piece, its composer, its cultural origins, its lyricists and influ
Advances in brain-machine interfaces by closing the loop between single-neuron operant conditioning and sensory reafference – NEUROWHISK
This project focuses on the integration of a sensory feedback in a motor neuroprosthesis. Broadly, brain-machine interfaces can be designed either following a biomimetic approach, in which one attempts to comply with the natural mapping between neuronal activity and the action or percept to be repre
Inform, Guide and Learn Actions by Sounds – SoniMove
Musicians adapt their gestures according to the sounds they produce on their instrument, but would they be able to learn such expert gestures without such a coherent, auditory feedback? This question, which illustrates the relation between movements and sounds, reveals the potential interest in soni
Uncertainty in Machine Learning Network – UML-NET
The main objectives of the project are the following: * Allow researchers from different fields and using different approaches to discuss about their respective pros and cons. * Federate a research community around the problem of learning in case of severe uncertainties. * Organisation of two
Pluridisciplinary Research Organization for e-learning – ORPHEE
The Orphée Network aims at structuring Technology-Enhanced Learning (TEL) stakeholders communities (industry with special focus on SMEs, providers, designers, educational institutions and professional associations, decision makers, research laboratories, etc.) in order to leverage the synergy of par
End-To-End TV Metadata – MetaDaTV
From the original idea to the actual distribution on TV, VOD and DVD, the production process and subsequent «life« of a TV program are divided into numerous stages, involving numerous actors (e.g. distribution, production, direction, screenwriting, casting, post-production or dubbing) and thus leadi
3D Virtual Platform for Wireless Sensor Network Simulation – PERSEPTEUR
The PERSEPTEUR project has evolved from an alliance of laboratories recognized by the CNRS for their research on sensor networks and their interactions, physical and spatial modeling of the radio channel, and the cooperation with the company Virtualys specialized in 3D representations of urban struc
Advanced quality methods for post-edition of machine translation – KEHATH
The translation community has seen a major change over the last five years: machine translation has become good enough so that it has become advantageous for translators to post-edit it rather than translate from scratch. This is due to recent progress in statistical machine translation, that is, th
HUman oBservatory Based on AnLysis of eLEarning traces – Hubble
The HUBBLE project proposes the creation of an observatory for the construction and sharing of analysis processes of traces of massive on-line courses. Our observatory will give the actors of such courses (e.g. teachers, researchers, designers, students, administrators and policy makers) the pos
The Power of Lists in the Middle Ages – Polima
POLIMA is an interdisciplinary project (literature, history, linguistics, anthropology and cognitive sciences) devoted to the study and characterization of the power of lists in the Middle Ages. By analyzing the production, uses, and transmission of lists in the Middle Ages, it aims, on the one hand
LEarning with Tablets: Acceptance and COgnitive Processes – LETACOP
The proposal focuses on multitouch tablets for learning because these mobile devices are installed in our daily lives but also in education. Like computers 30 years ago, these devices are emerging in classroom contexts. However, unlike computers that are generally confined to a computer room, tablet
VIrtual Characters for team Training: Emotional, Adaptive, Motivated and Social – VICTEAMS
Several application areas need rescuer teams to be trained to manage crises in complex socio-technical environments (e.g. terrorist attacks, natural disasters). The members of these emergency teams need to adapt, under emotional stress, to potential disruptions due to the uncertainties of crisis man
Didactics and learning informatics in the Primary – DALIE
France has always had a complex relationship with informatics. At the primary school level, current official instructions demand that students develop a list of competences in ICT, without any indication about a necessary conceptualization. Is the instrumental mastery of ICT feasible at this level w
Computation, Communication, Rationality and Incentives in Collective and Cooperative Decision Making – CoCoRICo-CoDec
Our project aims at studying several classes of collective decision problems under three point of views: (a) the impact of the computational difficulties of the mechanisms involved; (b) the impact of their communication requirements; (c) their vulnerability to strategic behaviour. The classes of pro