Blog | NAVER LABS Europe
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
Learning Visual Representations

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

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.
4 August 2020
force blog image

FORCE enables extreme pruning of artificial neural networks at initialization

A new method called FORCE achieves extreme sparsity in artificial neural networks by progressively removing up to 99.9% of parameters at initialization, making it a promising candidate for training networks on edge devices (like drones or smartphones).
30 July 2020

kapture – A unified data format to facilitate visual localization and structure from motion.

Announcing 'kapture' the open source release of a new SfM and visual localization data format. Available for ECCV2020 workshop challenge on visual localization.
17 July 2020
ACL 2020

Ten emerging topics at ACL 2020

ACL 2020 was held virtually the week of July 6th. As a combined industry/academic research team, we grouped information and papers on the topics we considered emerging at this year's conference.
10 July 2020
artificial neural networks

The short memory of artificial neural networks

A overview of current research methods in lifelong learning (rehearse, grow, regularize), the advantages and drawback of each and where we see future work heading.
6 July 2020
Lifelong Learning

Ambient Wanderer: mobile technology design to help explore new cities

With Ambient Wanderer, we aim to inform the design of systems that can meet the requirements of on-the-go users looking to discover relevant points of interest, and to demonstrate the benefits of using a hybrid Wizard of Oz approach to investigate POI recommender systems.
12 June 2020

GanHand: estimating the pose of a hand to enable human-like robot manipulation

A first-of-its-kind architecture that, based on a single image, predicts how a robot can pick up objects from within any scene could revolutionize applications in AR/VR and robotics.
10 June 2020
One Method One Pipeline Blog Image

One method, one pipeline: NAVER LABS Europe ranks high across three visual localization challenges at CVPR 2020

1st in autonomous vehicle challenge, 2nd in local feature and 4th in handheld devices R2D2 and KAPTURE demonstrate generalizability and wide variety of applications
28 May 2020
Fast Adaptation Blog Image 1

Fast Adaptation of Reinforcement-Learned Robot Navigation Skills to Human Preferences

Our navigation system enables robots to adapt to specific real-world environments and use cases with only small amounts of human preference data.
27 May 2020
Covid-19 blog image

A machine translation model for Covid-19 research

We're releasing a state-of-the-art multilingual and multi-domain neural machine translation model specialised for biomedical data that enables translation into English from five languages (French, German, Italian, Spanish and Korean).