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Mahesh Subedar

14 papers hereh-index 10394 citations35 works total

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

author position
  • first author2
  • middle author11
  • last author1

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CV3
  • cs.NE3
  • cs.AR1
  • cs.CL1
  • cs.SE1

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedUncertainty aware audiovisual activity recognition using deep Bayesian variational inference

7 citations · 22 across the 14 of their papers we have counts for

collaborators
Showing 2018Show all

2 papers · 1 filter

cs.NE2018★ 5 cited

BAR: Bayesian Activity Recognition using variational inference

Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo

Uncertainty estimation in deep neural networks is essential for designing reliable and robust AI systems. Applications such as video surveillance for identifying suspicious activit…

cs.NE2018★ 7 cited

Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference

Mahesh Subedar, Ranganath Krishnan, Paulo Lopez Meyer +2

Deep neural networks (DNNs) provide state-of-the-art results for a multitude of applications, but the approaches using DNNs for multimodal audiovisual applications do not consider…

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