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Somak Aditya
ResearcherPublications, citations & collaboration network
Somak Aditya is a researcher indexed in ScholarIQ from OpenAlex & ORCID. ScholarIQ records 66 works, 423 citations, an h-index of 8 and an i10-index of 6.
66
Works
423
Citations
8
h-index
6
i10-index
IDs:OpenAlex
How has Somak Aditya's publication output changed over time?
ScholarIQpublication output · 2015–2024
Output grew0% over the shown period — from 3 works in 2015 to 3 in 2024.
3
1
1
2
1
3
201520172018202120232024
What are the most-cited papers on Somak Aditya?
ScholarIQmost cited works
Image Understanding using vision and reasoning through Scene Description Graph
Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos, Cornelia Fermüller
S185008460. 2017107 Citations
Towards addressing the winograd schema challenge: building and using a semantic parser and a knowledge hunting module
Arpit Sharma, Nguyen Vo, Somak Aditya, Chitta Baral
S4306419142. 201568 Citations
Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering
Somak Aditya, Yezhou Yang, Chitta Baral
201853 CitationsOPEN ACCESS
From Images to Sentences through Scene Description Graphs using Commonsense Reasoning and Knowledge
Somak Aditya, Yezhou Yang, Chitta Baral, Cornelia Fermüller, Yiannis Aloimonos
arXiv (Cornell University). 201548 CitationsOPEN ACCESS
Visual Commonsense for Scene Understanding Using Perception, Semantic Parsing and Reasoning.
Somak Aditya, Yezhou Yang, Chitta Baral, Cornelia Fermüller, Yiannis Aloimonos
S4306420577. 201517 Citations
Related on ScholarIQ
Indian Institute of Technology Kharagpur
Institution
Image Understanding using vision and reasoning through Scene Description Graph
Paper
Towards addressing the winograd schema challenge: building and using a semantic parser and a knowledge hunting module
Paper
Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering
Paper
From Images to Sentences through Scene Description Graphs using Commonsense Reasoning and Knowledge
Paper
Visual Commonsense for Scene Understanding Using Perception, Semantic Parsing and Reasoning.
Paper