Two PhD awards for Gül Varol!
Gül Varol, co-advised by Ivan Laptev and Cordelia Schmid received the ELLIS PhD Award and AFRIF 2019 PhD award for her thesis "Learning Human Body and Human Action Representations from Visual Data".
The thesis of Gül Varol covers a wide range of challenging and important problems in human analysis within computer vision. In particular, it defined the state of the art in action recognition from videos with the use of long-term temporal convolutions, and it contributed a synthetic data generation framework for advancing human body shape analysis.
The scientific outcomes of the thesis have been followed up and extended by numerous groups. This has been supported by open sourcing of code and datasets.
More information: https://ellis.eu/news/ellis-phd-award-2020
A look at recent advances in automatic translation
What has boosted machine translation in recent years?
Over the last couple of years, automatic translation tools have done significant progress toward improving translation quality. What has driven this improvement in recent years? Listen to the latest podcast with Thierry Poibeau, PRAIRIE chair whose work focuses on Natural Language Processing: https://www.franceinter.fr/emissions/le-code-a-change/la-traduction-automatique-avec-thierry-poibeau
An ELLIS unit launched in Paris!
An ELLIS unit (European Lab for Learning and Intelligent Systems https://ellis.eu/) has just been created in Paris.
Its goal is to actively participate in the coordination of actions around artificial intelligence in the Paris region, in interaction with other members of the ELLIS network.
Read the press release.
More information on the unit’s website https://ellis-paris.github.io/.
Candidatez au Prix de thèse Gilles Kahn 2020
Le Prix de thèse Gilles Kahn, patronné par l’Académie des Sciences et décerné par la SIF, récompense chaque année depuis 1998 une excellente thèse en informatique.
L’objectif de ce prix est de dynamiser et de motiver de jeunes chercheurs en les récompensant, et de faire connaître à l’ensemble de la communauté informatique d’excellents travaux de recherche.
Dossier de candidature
Peut candidater tout étudiant ou étudiante ayant soutenu son doctorat d’informatique dans une école ou université française entre le 1er septembre 2019 et le 31 août 2020. Toute candidature devra être explicitement soutenue par le(s) directrice(s) ou directeur(s) de thèse, qui ne peuvent en aucun cas soutenir deux candidats ou candidates.
Date limite de candidature: 14 septembre 2020
Plus d’informations : https://www.societe-informatique-de-france.fr/wp-content/uploads/2020/04/1024-numero-15_Article37.pdf
Pierre Senellart elected to the Institut universitaire de France
Pierre Senellart, PRAIRIE chair, is among 110 laureates appointed by the Institut universitaire de France.
The mission of the Institut universitaire de France is to promote the development of high-level research at universities and to strengthen interdisciplinarity. Each year it distinguishes a small number of university professors, junior and senior, for their research excellence, as evidenced by their international recognition. The members are appointed for a period of 5 years.
More information (in French): http://www.iufrance.fr
Call for Applicants: The Postdoctoral Networking Tour in Artificial Intelligence
You are a postdoctoral researcher in the field of artificial intelligence and you want to connect with Germany's leading research groups?
The Postdoctoral Networking Tour in Artificial Intelligence (Postdoc-NeT-AI) is a Project funded by the Federal Ministry of Education and Research (BMBF). Its goal is to connect international early career researchers with the research community in artificial intelligence in Germany.
The Postdoc-NeT-AI offers you the opportunity to participate in one week of on-site visits to leading universities, research institutes and companies; including in depth discussions and networking opportunities.
Here you can find the program of the 11/2020 Tour. Deadline to apply to this year’s Tour is 16 August (midnight CET).
Please find more information on how to apply here.
Face Au Virus initiative
Face Au Virus is an open scientific initiative launched by researchers from Université PSL (Dauphine - PSL, ENS - PSL , MINES Paris Tech - PSL), CNRS and Inria, accompanied by a sponsorship from the company Emerton Data, with the objectives to contribute to general information on the Covid-19 outbreak as well as to help defining public policies for crisis management.
Jean Ponce receives Longuet-Higgins Prize 2020
Jean Ponce has been honoured with the Longuet-Higgins Prize 2020 for the paper "Accurate, Dense and Robust Multi-View Stereopsis", published in 2007.
The Longuet-Higgins Prize is presented annually by the IEEE Pattern Analysis and Machine Intelligence (PAMI) Technical Committee at each year’s Conference on Computer Vision and Pattern Recognition for fundamental contributions in computer vision. The award recognizes CVPR papers from ten years ago with significant impact on computer vision research.
The prize is named after theoretical chemist and cognitive scientist H. Christopher Longuet-Higgins.
More information (in French): https://www.inria.fr/fr/jean-ponce-recoit-le-prix-longuet-higgins
Applications for PRAIRIE Master fellowships are open!
PRAIRIE Master’s fellowships are accepting applications for four attractive programs: MASH | PSL, IASD | PSL, Bioentrepreneur Program | Paris Descartes, and MVA | Paris Descartes (Health track).
The fellowships are available for M1 or M2 years and are awarded on academic criteria. Please find more information here.
Participate in Challenge Data 2020 !
Stephane Mallat, PRAIRIE chair, invites you to participate in Challenge Data 2020.
Data science challenges are organized by the Data team at ENS in order to put companies in contact with excellent students, engineers and researchers in data science.
The web platform challengedata.ens.fr includes the presentation of problems, and ensures exchanges of data and automatic evaluation of the results of participants. Lecturers can set up an account to select challenges adapted to their course and get access to a dashboard which monitors student activity during the course. The students can upload a report, which is downloadable by the pedagogical supervisor.
Have a look at the videos presenting the challenges: http://www.college-de-france.fr/site/stephane-mallat/Challenges-2020.htm
More information about Challenge Data (in French) here
In order to participate take a look at general documentation and FAQ.