158 citations · 1k across the 37 of their papers we have counts for
48 papers
Feature Reweighting for EEG-based Motor Imagery Classification
Taveena Lotey, Prateek Keserwani, Debi Prosad Dogra +1
Classification of motor imagery (MI) using non-invasive electroencephalographic (EEG) signals is a critical objective as it is used to predict the intention of limb movements of a…
Separate Scene Text Detector for Unseen Scripts is Not All You Need
Prateek Keserwani, Taveena Lotey, Rohit Keshari +1
Text detection in the wild is a well-known problem that becomes more challenging while handling multiple scripts. In the last decade, some scripts have gained the attention of the…
Hybrid Transformer Network for Different Horizons-based Enriched Wind Speed Forecasting
M. Madhiarasan, Partha Pratim Roy
Highly accurate different horizon-based wind speed forecasting facilitates a better modern power system. This paper proposed a novel astute hybrid wind speed forecasting model and…
A Comprehensive Review of Sign Language Recognition: Different Types, Modalities, and Datasets
M. Madhiarasan, Partha Pratim Roy
A machine can understand human activities, and the meaning of signs can help overcome the communication barriers between the inaudible and ordinary people. Sign Language Recognitio…
Efficacy of Transformer Networks for Classification of Raw EEG Data
Gourav Siddhad, Anmol Gupta, Debi Prosad Dogra +1
With the unprecedented success of transformer networks in natural language processing (NLP), recently, they have been successfully adapted to areas like computer vision, generative…
End-to-end Triplet Loss based Emotion Embedding System for Speech Emotion Recognition
Puneet Kumar, Sidharth Jain, Balasubramanian Raman +2
In this paper, an end-to-end neural embedding system based on triplet loss and residual learning has been proposed for speech emotion recognition. The proposed system learns the em…