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

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.

Code and data

Data, code and models released by NAVER LABS Europe.

Seminars

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

RECENT PUBLICATIONS

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

Benchmarking Image Retrieval for Visual Localization

Noe Pion, Martin Humenberger, Gabriela Csurka, Yohann Cabon, Torsten Sattler

8th International Conference on 3D Vision, 25-28 November, 2020

Restaurant menu understanding: illustrating the need for culturally augmented translation

Danilo Gallo, Jutta Willamowski, Yada Wisatekaew, Adrien Bruyat, Antonietta Grasso

22nd International Conference on Human-Computer Interaction with Mobile Devices and Services (Mobile HCI 2020), 5-8 October, 2020

BLOG POST

16 October 2020

Jose Miguel Pérez-Álvarez, Adrian Mos - 16 October 2020

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.

24 August 2020

Diane Larlus - 24 August 2020

Learning Visual Representations with Caption Annotations

How mid-size sets of captioned images can rival with large-scale labelled image sets to learn generic representations

21 August 2020

Philippe Weinzaepfel - 21 August 2020

DOPE: distillation of part experts for whole-body 3D pose estimation in the wild

A novel efficient model for whole-body 3D pose estimation (including bodies, hands and faces), that is trained by mimicking the output of hand-, body- and face-pose experts.

RECENT NEWS

17 January 2021

- 17 January 2021

ALPS – Advanced Language Processing winter school in the French Alps

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

6 December 2020

- 6 December 2020

NeurIPS 2020 – Conference on Neural Information Processing Systems

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

16 November 2020

- 16 November 2020

Empirical Methods in Natural Language Processing conference (EMNLP) 2020

16^th - 20^th November 2020 Accepted papers at the main conference, Findings of EMNLP and workshops.

BE THE FIRST TO KNOW

Subscribe to receive the NAVER LABS newsletter directly in your inbox

Sign-up

Collaboration

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.