News search results

Filter by
39 results
  • 22.03.2019 Events

    22nd March: Research Morning at ESIEE Paris

    Matinale Recherche à ESIEE Paris

    A new Research Morning will take place at ESIEE Paris on 22 March 2019. This event will be dedicated to the situation of the research within the framework of the project ‘I-Site Future’. Scientific exchanges will take place between the teacher-researchers of ESIEE Paris Program 9h30 – Introduction by Olivier Français, Directory of Research at ESIEE Paris 9h35 – Ecoquartier Project - Pierre Perrin, team ‘I-Site’ 10h00 – Experiments for a sustainable campus, dem ...

  • 07.03.2019 News

    New appointment: Gaëlle Lissorgues, Director of the Doctoral School, MSTIC

    Nomination de Gaelle Lissorgues, Ecole Doctorale MSTIC

    Gaëlle Lissorgues is a professor at ESIEE Paris and the Director of the Health, Energy and Environment Department Gaëlle Lissorgues has been appointed as the Director of the Doctoral School of Mathematics, Information Communication Science and Technology (ED MSTIC )  at the Université Paris-Est where the vast majority of ESIEE Paris doctoral students are affiliated through the laboratories: Laboratory of Informatics Gaspard Monge ( LIGM ) Laboratory of Electronics, Communication Systems and Mi ...

  • 07.03.2019 News

    5-year extension of the 4 laboratories of excellences (LabEx) of the Comue Université Paris-Est

    Prolongation 4 LabEx - Programme d'investissement d'avenir

    On February 8, 2019, Frédérique Vidal, the French Minister of Higher Education, Research and Innovation, and Guillaume Boudy, the French Secretary General for Investment, announced the list of the 103 laboratories of excellence (LabEx), which Prime Minister Edouard Philippe has decided to extend for 5 years following a positive evaluation by an international jury. The 4 laboratories of excellences (LabEx) of the COMUE* Université Paris-Est, of which ESIEE Paris is a member, have been extended until 202 ...

  • 07.03.2019 News

    ESIEE Paris involved in the "OASIS" project to help tackle the challenges of climate change

    Projet OASIS, faire face aux enjeux du changement climatique

    Following the 3rd edition of the   European Union’s call for Urban Innovative Actions (UIA) projects, ESIEE Paris is participating in the FEDER* Urban Innovative Actions project, “OASIS”, which started in November 2018. This 3-year project, led by Paris city hall, aims to transform school and college playgrounds into "islands of freshness" in order to welcome residents in the event of a heatwave (during the school holidays, for example). This project is part of Paris cit ...

  • 05.12.2018 Seminar

    LIGM A3SI TEAM SEMINAR

    Logo LIGM

    A seminar of the A3SI team of the LIGM (mixed research unit of the University Paris Est) took place on Wednesday, December 5 from 13:30 to 16:00 at ESIEE Paris. Towards Self-driving Cars: Test Fields, Visual Odometry, Stixels and Road-surface Analysis Reinhard Klette Auckland University of Technology Abstract : Self-driving cars use various sensors, to be tested on extensive test fields under location-, weather-, and traffic-specific conditions. One test field (N3T) is currently developing near Whangare ...

  • 19.07.2018 Seminar

    Seminar LIGM - Stochastic geometry, topological and experimental

    Logo LIGM

    The next seminar of the A3SI team of the LIGM (mixed research unit of the University Paris Est) will take place on Wednesday, September 5 at 9:30 (ESIEE PARIS). The room will be specified later. Stochastic geometry, topological and experimental Herbert Edelsbrunner IST Austria Abstract: We study classical questions in stochastic geometry, such as the expected density of p-simplices in the Delaunay mosaic of a Poisson point process in d-dimensional Euclidean space.  Using a discrete Morse theory ap ...

  • 29.06.2018 Seminar

    Seminar | Watershed: how to learn it end-to-end, and how to use it in graph partitioning

    Logo LIGM

    A seminar of the A3SI team of the LIGM (mixed research unit of Paris Est University) will take place on Monday, July 2nd from 1:30 pm to 2:30 pm, room 3005 (ESIEE PARIS). Watershed: how to learn it end-to-end, and how to use it in graph partitioning Fred Hamprech tHeidelberg University Abstract: In a first part, I will sketch how to realize an end-to-end learning of a segmentation pipeline involving a watershed computation [Wolf et al., "Learned Watershed", ICCV 2017]. In a second part, I will ...

  • 29.06.2018 Seminar

    Seminar | Study of compressed stack algorithms in limited memory environment

    Logo LIGM

    A seminar of the A3SI and LRT teams of the LIGM (joint research unit of Paris Est University) took place on Friday, June 22 from 1:30 pm to 2:30 pm at ESIEE Paris. Study of compressed stack algorithms in limited memory environment Jean-Francois Baffier Tokyo Intistute of Technology Abstract: The need to run algorithms on limited-memory devices motivated our consideration for data structure in the settings where there is only a limited amount of memory available (apart from the input representation). We ...

  • 05.06.2018 Seminar

    Seminar LIGM - Self-supervision, Meta-supervision, Curiosity: Making Computers

    Logo LIGM

    A seminar of the A3SI team of the LIGM (joint research unit of Paris Est University) will take place on Tuesday, May 29 at 15:30, in the meeting room B 412 of the IMAGINE group (ENPC - Bat Coriolis). Self-supervision, Meta-supervision, Curiosity: Making Computers Study Harder Alexei Efros UC Berkeley Abstract: Computer vision has made impressive gains through the use of deep learning models, trained with large-scale labeled data. However, labels require expertise and curation and are expensive to col ...

  • 14.05.2018 Seminar

    Seminar LIGM - Supervised Transform Learning

    Logo LIGM

    A seminar of the A3SI team of the LIGM (mixed research unit of the University Paris Est) will take place on Thursday May 17 from 1:30 pm to 2:30 pm at ESIEE Paris (room 210). Supervised Transform Learning Jyoti Maggu IIIT Delhi Abstract: Representation learning techniques have gained popularity over the years. Machine Learning community is well aware of several representation learning tools, viz. AutoEncoders, Deep belief networks, Convolutional Neural Networks and Dictionary Learning(similar to matrix f ...