Grant: Discovery Grants Program - Accelerator Supplements
University of British Columbia
$80,000.00
Web-Scale Semantic Image and Video Understanding
EF 2019-20
Résumé
computer vision,deep lerning,image and video understanding,machine learning,multimodal' (visual + language) learning,probabilistic graphical models,semantic visual recognition,structured prediction models,unsupervised learning,weakly-and semi-supervised learning
Programme
Discovery Grants Program - Accelerator Supplements
Bénéficiaire
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
522579-2018
Name nom
Sigal, Leonid
Department département
Computer Science
Organization id
2
Institution établissement
University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2018
Award amount
80000
Program id
RGPAS
Program name en
Discovery Grants Program - Accelerator Supplements
Program name fr
Programme de subventions à la découverte - supplément d'accélération
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1559
Committee name en
DAS Selection Committee
Committee name fr
SAD Comité de sélection
Area of application code
1207
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Information, computer and communication technologies
Area of application fr
Technologie de l'information, des ordinateurs et des réseaux de communications
Research subject code
2600
Research subject group en
Robotics
Research subject group fr
Robotique
Research subject en
Robotics
Research subject fr
Robotique
Installment
inst:2 - 3
Partie
2
Nb partie
3
Application title
Web-Scale Semantic Image and Video Understanding
Keyword
NSERC
Application summary
computer vision,deep lerning,image and video understanding,machine learning,multimodal' (visual + language) learning,probabilistic graphical models,semantic visual recognition,structured prediction models,unsupervised learning,weakly-and semi-supervised learning
