5 papers
Reliability-Aware Weighted Multi-Scale Spatio-Temporal Maps for Heart Rate Monitoring
Arpan Bairagi, Rakesh Dey, Siladittya Manna +1
Remote photoplethysmography (rPPG) allows for the contactless estimation of physiological signals from facial videos by analyzing subtle skin color changes. However, rPPG signals a…
Bridging the Applicator Gap with Data-Doping:Dual-Domain Learning for Precise Bladder Segmentation in CT-Guided Brachytherapy
Suresh Das, Siladittya Manna, Sayantari Ghosh
Performance degradation due to covariate shift remains a major challenge for deep learning models in medical image segmentation. An open question is whether samples from a shifted…
MIO : Mutual Information Optimization using Self-Supervised Binary Contrastive Learning
Siladittya Manna, Umapada Pal, Saumik Bhattacharya
Self-supervised contrastive learning frameworks have progressed rapidly over the last few years. In this paper, we propose a novel loss function for contrastive learning. We model…
Federated Self-Supervised Learning for One-Shot Cross-Modal and Cross-Imaging Technique Segmentation
Siladittya Manna, Suresh Das, Sayantari Ghosh +1
Decentralized federated learning enables learning of data representations from multiple sources without compromising the privacy of the clients. In applications like medical image…
Decorrelation-based Self-Supervised Visual Representation Learning for Writer Identification
Arkadip Maitra, Shree Mitra, Siladittya Manna +2
Self-supervised learning has developed rapidly over the last decade and has been applied in many areas of computer vision. Decorrelation-based self-supervised pretraining has shown…