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

As the most natural and dominant mode of communication, we create language technology to seamlessly communicate with devices in a connected world.

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

Vital records: uncover the past from historical handwritten records

Hervé Déjean, Jean-Luc Meunier

The 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, held in conjunction with COLING 2020, Barcelona, Spain (virtual event), 12 December 2020

Unsupervised meta-domain adaptation for fashion retrieval

Vivek Sharma, Naila Murray, Diane Larlus, M. Saquib Sarfraz, Rainer Stiefelhagen, Gabriela Csurka

Winter Conference on Applications of Computer Vision (WACV), virtual event, 5-9 January, 2021

SuperLoss: a generic loss for robust curriculum learning

Thibault Castells, Philippe Weinzaepfel, Jérome Revaud

Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), virtual-only conference, 6-12 December, 2020

Hard negative mixing for contrastive learning

Yannis Kalantidis, Mert Bulent Sariyildiz, Noé Pion, Philippe Weinzaepfel, Diane Larlus

Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), virtual-only conference, 6-12 December, 2020
GNN blog image

Web image search gets better with graph neural networks

A new approach to image search uses images returned by traditional search methods as nodes in a graph neural network through which similarity signals are propagated, achieving improved ranking in cross-modal retrieval.

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A solution for greater algorithmic fairness in digital ranking systems

A new greedy, brute-force solution improves fairness in ranking and encompasses realistic scenarios with multiple, unknown protected groups.


Flow: enabling non-technical people to create and maintain applications

By incorporating a set of reusable constructs that enable advanced functionality, Flow makes platform-agnostic application modelling, creation, distribution and maintenance easy.


ALPS – Advanced Language Processing winter school in the French Alps

17th -  22nd January 2021, Autrans, France Co-organized by LIG (University Grenoble Alpes) and NAVER LABS Europe, ALPS

LaTeCH-CLfL 2020: Joint SIGHUM workshop on computational linguistics for cultural heritage, social sciences, humanities and literature

12th December 2020, virtual event
Paper: Vital records: uncover the past from historical handwritten records

NeurIPS 2020 – Conference on Neural Information Processing Systems

6th - 12th December 2020 3 main conference papers, co-organising the Robot Learning workshop and Gold supporter with virtual booth and interactive sessions.


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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.

Research illustrating image woman and 2 man in front of computers

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.