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Shrikanth S. Narayanan

University of Southern California

84 papers hereh-index 8942.7k citations1.2k works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author16
  • last author66

Across the 83 of 84 papers where every author was matched, so the position is known.

fields
  • eess.AS30
  • cs.CL17
  • cs.LG8
  • eess.SP5
  • eess.IV4
  • cs.CV3
affiliations
  • University of Southern California
Homepage
same name
  • Shrikanth S. Narayanan — 46 papers, h 9
  • Shrikanth S. Narayanan — 34 papers, h 17
  • Shrikanth S. Narayanan — 15 papers, h 3
  • Shrikanth S. Narayanan — 11 papers, h 4
  • Shrikanth S. Narayanan — 11 papers, h 1
  • Shrikanth S. Narayanan — 11 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132023
most citedAutomated Evaluation Of Psychotherapy Skills Using Speech And Language Technologies

102 citations · 746 across the 75 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2022★ 2 cited

Audio visual character profiles for detecting background characters in entertainment media

Rahul Sharma, Shrikanth Narayanan

An essential goal of computational media intelligence is to support understanding how media stories -- be it news, commercial or entertainment media -- represent and reflect societ…

cs.CV2021★ 1 cited

Understanding of Emotion Perception from Art

Digbalay Bose, Krishna Somandepalli, Souvik Kundu +3

Computational modeling of the emotions evoked by art in humans is a challenging problem because of the subjective and nuanced nature of art and affective signals. In this paper, we…

cs.CV2020★ 4 cited

Cross modal video representations for weakly supervised active speaker localization

Rahul Sharma, Krishna Somandepalli, Shrikanth Narayanan

An objective understanding of media depictions, such as inclusive portrayals of how much someone is heard and seen on screen such as in film and television, requires the machines t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.