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2020 International Conference on Robotics and Automation (ICRA)

31st May - 4th June 2020, Palais des Congrès de Paris, France.
Christopher Dance presents a paper at ICRA 2020, the IEEE Robotic and Automation Society’s flagship conference.
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university_Prague

Conference on Computer Vision and Pattern Recognition (CVPR 2020), Seattle, Washington , USA

NAVER LABS Europe is co-organising the 3D Humans workshop.
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university_Prague

2020 European Conference on Computer Vision (ECCV 2020)

23rd-28th August 2020, Glasgow, Scotland, UK. Tutorial accepted by Gabriela Csurka at al: "Domain Adaptation for Visual Applications"
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From Abstract Specifications to Application Generation

Jose Miguel Pérez-Álvarez, Adrian Mos
42nd International Conference on Software Engineering (ICSE) - Software Engineering in Society Track. Seoul, South Korea, 5-11 October, 2020

Guided Exploration of User Groups

Mariia Seleznova, Bernard Omidvar-Tehrani, Sihem Amer-Yahia, Eric Simon
46th International Conference on Very Large Data Bases (VLDB), Tokyo, Japan, 31 August-4 September 2020

Key Protected Classification for Collaborative Learning

Mert Bulent Sariyildiz, Ramazan Gokberk Cinbis, Erman Ayday
Pattern Recognition, Volume 104, August 2020, 107327

Estimating Low-Rank Region Likelihood Maps

Gabriela Csurka, Zoltan Kato, Andor Juhasz, Martin Humenberger
Computer Vision and Pattern Recognition (CVPR 2020), Washington, United States, 16-18 June, 2020
28 May 2020

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

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

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.

GLOBAL AI R&D BELT

ACADEMIA – EU/GOVT – ENTREPRENEURS

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