Research - NAVER LABS Europe


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

FlexNav: flexible navigation and exploration through connected runnable zones

Jutta Willamowski, Shreepriya Gonzalez-Jimenez, Christophe Legras, Danilo Gallo

Conference on Human Factors in Computing Systems (CHI), New Orleans, LA., USA (hybrid event), 30 April - 6 May, 2022

Match your words! A study of lexical matching in neural information retrieval

Thibault Formal, Benjamin Piwowarski, Stéphane Clinchant

44th European Conference on Information Retrieval (ECIR), Stavanger, Norway, 10-14 April, 2022

Barely-supervised learning: semi-supervised learning with very few labeled images

Thomas Lucas, Philippe Weinzaepfel, Gregory Rogez

36th Conference on Artificial Intelligence (AAAI-22), virtual event, 22 February - 1 March, 2022

Simple and effective balancing of contrastive losses

Arnaud Sors, Rafael Sampaio de Rezende, Sarah Ibrahimi, Jean-Marc Andreoli

Published on, 22 December, 2021

Deep regression on manifolds: a 3D rotation case study

Theoretical and experimental findings to improve regression applications: a 3D rotation case study. Code.



A novel, plug and play model for human 3D shape estimation of the body or hands, in videos which is trained by mimicking the BERT algorithm from the natural language processing community.

Towards high quality multilingual NMT in production

Towards high quality multilingual NMT in production

How to improve the inference speed of large Multilingual NTM models and do fast and parameter-efficient domain and language adaptation with them. Work published at EMNLP and WMT 2021.


Conference on Human Factors in Computing Systems (CHI) 2022

CHI 2022 : Conference on Human Factors in Computing Systems. 30th April - 6th May 2022

European Conference on Information Retrieval (ECIR) 2022

10th - 22nd  April 2022, Stavanger, Norway We have two accepted papers at ECIR 2022.

Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22)

22nd February - 1st March 2022. 1 accepted paper.


Subscribe to receive the NAVER LABS newsletter directly in your inbox


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.


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.

This web site uses cookies for the site search, to display videos and for aggregate site analytics.

Learn more about these cookies in our privacy notice.


Cookie settings

You may choose which kind of cookies you allow when visiting this website. Click on "Save cookie settings" to apply your choice.

FunctionalThis website uses functional cookies which are required for the search function to work and to apply for jobs and internships.

AnalyticalOur website uses analytical cookies to make it possible to analyse our website and optimize its usability.

Social mediaOur website places social media cookies to show YouTube and Vimeo videos. Cookies placed by these sites may track your personal data.