4 citations · 15 across the 9 of their papers we have counts for
10 papers
DOST -- Domain Obedient Self-supervised Training for Multi Label Classification with Noisy Labels
Soumadeep Saha, Utpal Garain, Arijit Ukil +2
The enormous demand for annotated data brought forth by deep learning techniques has been accompanied by the problem of annotation noise. Although this issue has been widely discus…
Unsupervised Driving Behavior Analysis using Representation Learning and Exploiting Group-based Training
Soma Bandyopadhyay, Anish Datta, Shruti Sachan +1
Driving behavior monitoring plays a crucial role in managing road safety and decreasing the risk of traffic accidents. Driving behavior is affected by multiple factors like vehicle…
Automated Label Generation for Time Series Classification with Representation Learning: Reduction of Label Cost for Training
Soma Bandyopadhyay, Anish Datta, Arpan Pal
Time-series generated by end-users, edge devices, and different wearables are mostly unlabelled. We propose a method to auto-generate labels of un-labelled time-series, exploiting…
Hierarchical Clustering using Auto-encoded Compact Representation for Time-series Analysis
Soma Bandyopadhyay, Anish Datta, Arpan Pal
Getting a robust time-series clustering with best choice of distance measure and appropriate representation is always a challenge. We propose a novel mechanism to identify the clus…
A Novel RF-assisted-Strobe System for Unobtrusive Vibration Detection of Machine Parts
Dibyendu Roy, Arijit Sinharay, Brojeshwar Bhowmick +3
In this paper, we propose a novel non-contact vibration measurement system that is competent in estimating linear and/or rotational motions of machine parts. The technique combines…
MOMBAT: Heart Rate Monitoring from Face Video using Pulse Modeling and Bayesian Tracking
Puneet Gupta, Brojeshwar Bhowmick, Arpan Pal
A non-invasive yet inexpensive method for heart rate (HR) monitoring is of great importance in many real-world applications including healthcare, psychology understanding, affectiv…