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S. S. Bezugam

3 papers hereh-index 5168 citations11 works total

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

author position
  • sole author1
  • first author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • eess.SP1

identity via Semantic Scholar / OpenAlex

most citedLow Power Neuromorphic EMG Gesture Classification

15 citations · 21 across the 3 of their papers we have counts for

collaborators

3 papers

eess.SP2022★ 15 cited

Low Power Neuromorphic EMG Gesture Classification

Sai Sukruth Bezugam, Ahmed Shaban, Manan Suri

EMG (Electromyograph) signal based gesture recognition can prove vital for applications such as smart wearables and bio-medical neuro-prosthetic control. Spiking Neural Networks (S…

cs.CV2021

Multi-Class Classification of Blood Cells -- End to End Computer Vision based diagnosis case study

Sai Sukruth Bezugam

The diagnosis of blood-based diseases often involves identifying and characterizing patient blood samples. Automated methods to detect and classify blood cell subtypes have importa…

cs.CV2021★ 6 cited

Efficient Video Summarization Framework using EEG and Eye-tracking Signals

Sai Sukruth Bezugam, Swatilekha Majumdar, Chetan Ralekar +1

This paper proposes an efficient video summarization framework that will give a gist of the entire video in a few key-frames or video skims. Existing video summarization frameworks…

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