Visual commonsense for scene understanding using perception, semantic parsing and reasoning

Somak Aditya, Yezhou Yang, Chitta Baral, Cornelia Fermuller, Yiannis Aloimonos

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

In this paper we explore the use of visual common-sense knowledge and other kinds of knowledge (such as domain knowledge, background knowledge, linguistic knowledge) for scene understanding. In particular, we combine visual processing with techniques from natural language understanding (especially semantic parsing), common-sense reasoning and knowledge representation and reasoning to improve visual perception to reason about finer aspects of activities.

Original languageEnglish (US)
Title of host publicationLogical Formalizations of Commonsense Reasoning - Papers from the AAAI Spring Symposium, Technical Report
PublisherAI Access Foundation
Pages9-16
Number of pages8
VolumeSS-15-04
ISBN (Electronic)9781577357087
StatePublished - 2015
Event2015 AAAI Spring Symposium - Palo Alto, United States
Duration: Mar 23 2015Mar 25 2015

Other

Other2015 AAAI Spring Symposium
CountryUnited States
CityPalo Alto
Period3/23/153/25/15

ASJC Scopus subject areas

  • Artificial Intelligence

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  • Cite this

    Aditya, S., Yang, Y., Baral, C., Fermuller, C., & Aloimonos, Y. (2015). Visual commonsense for scene understanding using perception, semantic parsing and reasoning. In Logical Formalizations of Commonsense Reasoning - Papers from the AAAI Spring Symposium, Technical Report (Vol. SS-15-04, pp. 9-16). AI Access Foundation.