Understanding human action from unstructured 3D point clouds using deep learning methods

Project description

Collaborative machines recognising human actions

Fields of science

• engineering and technology › electrical engineering, electronic engineering, information engineering › electronic engineering › robotics › autonomous robots
• natural sciences › computer and information sciences › artificial intelligence › machine learning › deep learning
• natural sciences › computer and information sciences › artificial intelligence › computational intelligence

Programme(s)

• H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme
• H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility

Topic(s)

• MSCA-IF-2019 - Individual Fellowships

Call for proposal

H2020-MSCA-IF-2019

See other projects for this call

Funding Scheme

MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)

Coordinator

TECHNION RESEARCH AND DEVELOPMENT FOUNDATION LTD

Net EU contribution

€ 276 205,44

Address

The Senate Building Technion City 1
32000 Haifa
Israel

Activity type

Private for-profit entities (excluding Higher or Secondary Education Establishments)

Links

Other funding

€ 0,00

Partners (1)

Partner

Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.

THE AUSTRALIAN NATIONAL UNIVERSITY

Australia

Net EU contribution

€ 0,00

Address

Liversidge Street 1 Building 67c
0200 Canberra

Activity type

Higher or Secondary Education Establishments

Links

Other funding

€ 183 473,28