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Dr Debanga Raj Neog

vidwan id: 296552
Male

Assistant Professor, Mehta Family School of Data Science and Artificial Intelligence
Indian Institute of Technology Guwahati

Expertise

  • Computer Science Artificial Intelligence

Publications

Total Articles 32
Books 0
Proceedings 0

Publications

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Scopus

Citations 415
h-index 11

CrossRef

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Citations 151
h-index 5
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Bio

Research Areas: Machine learning and Deep Learning (Object tracking and localization, stereo reconstruction), Image Processing (Semantic segmentation, biomedical image processing), Computer Vision (Eye tracking, face tracking), Computer Graphics and AR/VR (Facial animation, anatomical augmented reality), Computational Imaging (High dynamic range imaging)

Personal Details

  • Male
  • Assistant Professor , Indian Institute of Technology Guwahati
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Assistant Professor Sep 2021 – Present
Indian Institute of Technology Guwahati | Mehta Family School of Data Science and Artificial Intelligence

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Co-Authors (11)

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Scholarly Work

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Scholarly Publications

Multimodal Vision-Based Hand Rehabilitation and Performance Visualization

Open Access
Conference Paper

Efficient segmentation of exudates in color fundus images using wavelets and generative adversarial network

Open Access
Article

Transfer learning enhanced deep neural network application in Gauss quadrature for isogeometric analysis

Open Access
Article

Evaluation of Optimizers in DNN-Based Classification Model for Quadrature Rule in Isogeometric Analysis

Open Access
Conference Paper
Authors: Nath D.;Ankit ;Neog D.R.;Gautam S.S.

Hand Function Assessment using Computer Vision for Hand Rehabilitation

Open Access
Conference Paper
Authors: Kamal ;Neog D.R.;Dutta H.P.J.;Bhuyan M.K.

GlobeMetrics: A Healthcare Framework for Video Based Saccade Characterization

Open Access
Conference Paper
Authors: Neog D.R.;Salman Choudhary P.;Pathak M.

Application of Machine Learning and Deep Learning in Finite Element Analysis: A Comprehensive Review

Open Access
Review

A Hand Gesture-Operated System for Rehabilitation Using an End-to-End Detection Framework

Open Access
Article