Blog | NAVER LABS Europe
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4 August 2020
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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
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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
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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
The short memory of 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
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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
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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
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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
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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
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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).
28 April 2020
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Vital Records and Deep Learning are helping us uncover the past from historical handwritten records

A new platform based on deep-learning approaches to handwritten-text recognition and information extraction enables data from century-old documents to be parsed and analysed, making it possible to explore epidemics and the evolution of populations over time.
29 January 2020
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Announcing Virtual KITTI 2

Latest release of the popular synthetic image dataset for training and testing. New features include increased photorealism, stereo cameras and additional ground truth.
13 December 2019
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Towards understanding human actions out of context with the Mimetics dataset

This article introduces our recent arxiv preprint on further understanding human actions out of context thanks to the newly introduced Mimetics dataset.