NAVER LABS Europe Blog
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25 October 2019
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SLAMANTIC – Leveraging Semantics to Improve VSLAM in Dynamic Environments

Evaluating our method on public datasets, we show that it can successfully solve challenging situations in dynamic environments which cause state-of-the-art baseline VSLAM algorithms to fail and that it maintains performance on static scenes.
21 October 2019

Moulding Humans

A new double depth-map representation of the human shape allows to recover 3D details from a single image. Using 2 depth maps (visible and hidden) makes representations more efficient and easier to handle.
18 October 2019

Fine-Grained Action Retrieval from Video

Fine-grained action retrieval made possible thanks to a new annotated dataset and part-of-speech embedding.
5 August 2019
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ACL 2019 Trends – our round-up of highlights from this year’s conference

Our favourite papers, talks and workshops. It's a 'long read'!
25 July 2019
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Improving the Robustness of Neural Machine Translation to Social Media Text

WMT 2019 Robustness Competition: NAVER LABS Europe’s models rank first in 3 out of 4 subtasks.
24 July 2019

Designing Interactive Systems (DIS 2019): Highlights

Exploring the role of design in communities and technology
24 July 2019

TAMGU: A new open source programming language to help create, annotate and augment corpora and data.

Tamgu has been designed to make cleaning or creating corpora as simple as possible. Go try it out!
19 July 2019

Improving news recommendation with hybrid algorithms

A combination of collaborative filtering approaches and contextual information can help overcome unpredictable behavior while taking into account position and layout bias for more effective recommendation.
10 July 2019
ICML 2019 review blog

ICML 2019 Highlights

A recap with analysis of what caught our attention most at this year's conference.
14 June 2019
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An Augmented Reality Guide for Museums

The acme of perfection of AR is when you can’t distinguish the virtual from the real. We experiment with AI and computer vision in our AR museum guide ARAO to make the physical experience a natural one.
14 June 2019
Making maps evergreen with deep learning, robots and computer vision

Making maps evergreen with deep learning, robots and computer vision

A system that correctly detects when places have changed to automatically update complex indoor maps. Dataset available for research.
7 June 2019
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MARS: Motion-Augmented RGB Stream for Action Recognition

This blog presents our CVPR’19 paper on “MARS: Motion-Augmented RGB Stream for Action Recognition” done with the Thoth team at Inria.