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12 June 2019

“I Don’t Understand…” Issues in Self-Quantifying Commuting

This paper illustrates the results of a study that we conducted on the effectiveness of self-tracking of commuting data where participants received daily feedback on the financial costs and CO2 emissions associated to their mobility practices.
29 May 2019

Improving the Generalization of Visual Navigation Policies using Invariance Regularization

Training agents to operate in one environment often yields overfitted models that are unable to generalize to the changes in that environment.
27 May 2019

Visual Localization by Learning Objects-of-Interest Dense Match Regression

We introduce a novel CNN-based approach for visual localization from a single RGB image that relies on densely matching a set of Objects-of-Interest (OOIs).
12 June 2019

NAVER LABS Europe ranks first in international benchmark in visual localization.

Results to be presented at Long Beach, California on June 17th at CVPR 2019, the world’s premier event in computer vision.
28 May 2019

Thirty-sixth International Conference on Machine Learning (ICML 2019), Long Beach, CA, USA

NAVER LABS EUROPE and Clova AI, are Gold Sponsors of the event. We're presenting on the booth in between workshops and papers and hope to see you there!
28 May 2019

CVPR 2019, Long Beach, CA, USA

We have 3 papers, 2 workshop papers and are winners of the 'Local Features' Visual Localization challenge! Come talk to us on the booth.
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14 June 2019
Augmented Reality Guide cover image

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
MARS_CVPR blog image

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.

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Our partnerships range from long-term fundamental research to investment in products and services.