Research - NAVER LABS Europe

RESEARCH

We create new connections through advanced research and technology in vision, text, machine learning, UX and ethnography.
Our multidisciplinary approach to AI allows us to tackle challenges from different perspectives and gives greater meaning to our work.

Computer Vision

Visual search, scene parsing, human sensing, action recognition, pose estimation and lifelong learning for AR, robotics, search and autonomous driving.

3D Vision

In a connected world of people, robots and self-driving vehicles, we naturally need to have a good understanding of the 3D world we live in.

Search and Recommendation

Human-centric, multimodal strategies and modules built on accountable algorithms for transparency and trust.

Machine Learning and Optimization

Innovative models to design algorithms and imagine new tasks that push the boundaries and bring to life intelligent systems in our everyday lives.

Natural Language Processing

Language technology to seamlessly communicate in an increasingly connected world: understanding, generation, translation, speech, modelling.

UX and Ethnography

Getting a deep understanding of our environment to design services with which we can seamlessly interact.

Systemic AI

At the crossroads of AI and software engineering research, addressing the challenges of integrating AI/ML components.

Data, code and models released by NAVER LABS Europe.

Connect to our online seminars given by expert speakers from around the world

Magnetic field sensing for pedestrian and robot indoor positioning

Leonid Antsfeld, Boris Chidlovskii

11th International Conference on Indoor Positioning and Indoor Navigation (IPIN) 2021, Lloret de Mar, Spain, 29 November - 2 December, 2021

Transfer customization with the trip-based public transit routing algorithm

Vassilissa Lehoux, Christelle Loiodice

Symposium on Algorithmic Approaches for Transportation Modelling, Optimization, and Systems. Virtual conference, 9 - 10 September, 2021

LeBenchmark: a reproducible framework for assessing self-supervised representation learning from speech

Solene Evain, Ha Nguyen, Hang Le, Marcely Zanon Boito, Salima Mdhaffar, Sina Alisamir, Ziyi Tong, Natalia Tomashenko, Marco Dinarelli, Titouan Parcollet, Alexandre Allauzen, Yannick Esteve, Benjamin Lecouteux, Francois Portet, Solange Rossato, Fabien Ringeval, Didier Schwab, Laurent Besacier

Interspeech, Brno, Czech Republic, 30 August-3 September 2021

Impact of encoding and segmentation strategies on end-to-end simultaneous speech translation

Ha Nguyen, Yannick Estève, Laurent Besacier

Interspeech, Brno, Czech Republic, 30 August - 3 September 2021
Learning Robot Manipulation Blog

Learning robot manipulation – modelling the reachable space of a robot and its inverse mapping

A new approach to learning few-shot imitation agents whereby you simply feed demonstrations of a new test task to the learned policy called DCRL. This new approach has several advantages.

EBM podcast 2021

Energy Based Models – Podcast

Podcast & edited transcript on Energy Based Models (EBMs). Guests, Hady Elsahar and Marc Dymetman work on EBMs in the field of natural language and co-organised the ICLR 2021 workshop on EBMs.

DCRL A new family of approaches to few-shot imitation

A new family of approaches to few-shot imitation

A new approach to learning few-shot imitation agents whereby you simply feed demonstrations of a new test task to the learned policy called DCRL. This new approach has several advantages.

ALPS 2022

Advanced Language Processing winter school in the French Alps (ALPS) 2022

17th -  21st January 2022, virtual event Co-organized by LIG (University Grenoble Alpes) and NAVER LABS Europe, ALPS
iccv 2021

International Conference on Computer Vision (ICCV 2021)

NAVER LABS Europe presenting 3 conference papers and co-organizing the Workshop on Long-Term Visual Localization under Changing Conditions.
INTERSPEECH 2021

INTERSPEECH 2021, hybrid event, Brno, Czech Republic

30th August - 3rd September 2021, hybrid event, physically in Brno, Czech Republic, and also virtually.
3 accepted papers
   

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Collaboration

global ai belt

NAVER Labs Europe is a hub of NAVER’s global AI R&D Belt, a network of centres of excellence in Korea, Japan, Vietnam & Europe. By collaborating with different partners we aim to make AI technology in South East Asia and Europe more competitive.

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Our scientists collaborate with national and international partners, academics and businesses to solve problems and invent technology and services that will have impact in the real world.

Discover how our research is recognized.

About NAVER LABS Europe

NAVER LABS Europe is France’s biggest industrial research centre in artificial intelligence.

NAVER LABS is an R&D subsidiary of NAVER responsible for future technology.

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