158 citations · 432 across the 18 of their papers we have counts for
20 papers
An Analysis Focused on Womens Safety: Can VAD Models Be Enhanced by a Multi-modal Dataset?
Sangeeta ., Maddikuntla Sai Prajwal, Debi Prosad Dogra +4
Women's safety and security are paramount for a modern society. Often, crimes scenes get recorded through low-resolution CCTV cameras limiting the efficiency of video anomaly detec…
A Comprehensive Review on Sentiment Analysis: Tasks, Approaches and Applications
Sudhanshu Kumar, Partha Pratim Roy, Debi Prosad Dogra +1
Sentiment analysis (SA) is an emerging field in text mining. It is the process of computationally identifying and categorizing opinions expressed in a piece of text over different…
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…
DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Network
Kamalakar Thakare, Yash Raghuwanshi, Debi Prosad Dogra +2
Unsupervised approaches for video anomaly detection may not perform as good as supervised approaches. However, learning unknown types of anomalies using an unsupervised approach is…
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…
Understanding Crowd Flow Movements Using Active-Langevin Model
Shreetam Behera, Debi Prosad Dogra, Malay Kumar Bandyopadhyay +1
Crowd flow describes the elementary group behavior of crowds. Understanding the dynamics behind these movements can help to identify various abnormalities in crowds. However, devel…