260 citations · 278 across the 13 of their papers we have counts for
13 papers
FedCARE: A Multi-Objective Personalised Federated Learning Framework for Smart Healthcare
Rojalini Tripathy, Padmalochan Bera, Shreya Ghosh +1
Federated Learning (FL) enables collaborative model training across distributed healthcare institutions without centralising sensitive patient data. However, real-world healthcare…
Agentic AI-based Framework for Mitigating Premature Diagnostic Handoff and Silent Hallucination in Healthcare Applications
Divyansh Srivastava, Shreya Ghosh, Anshul Verma +1
Recent advances in Large Language Models (LLMs) and multi-agent systems have driven the rise of Agentic AI, showing promise for medical reasoning. However, open-ended conversationa…
Spatio-temporal Storytelling? Leveraging Generative Models for Semantic Trajectory Analysis
Shreya Ghosh, Saptarshi Sengupta, Prasenjit Mitra
In this paper, we lay out a vision for analysing semantic trajectory traces and generating synthetic semantic trajectory data (SSTs) using generative language model. Leveraging the…
Lumos in the Night Sky: AI-enabled Visual Tool for Exploring Night-Time Light Patterns
Jakob Hederich, Shreya Ghosh, Zeyu He +1
We introduce NightPulse, an interactive tool for Night-time light (NTL) data visualization and analytics, which enables researchers and stakeholders to explore and analyze NTL data…
Pavlok-Nudge: A Feedback Mechanism for Atomic Behaviour Modification with Snoring Usecase
Md Rakibul Hasan, Shreya Ghosh, Pradyumna Agrawal +3
This paper proposes an atomic behaviour intervention strategy using the Pavlok wearable device. Pavlok utilises beeps, vibration and shocks as a mode of aversion technique to help…
Emolysis: A Multimodal Open-Source Group Emotion Analysis and Visualization Toolkit
Shreya Ghosh, Zhixi Cai, Parul Gupta +4
Automatic group emotion recognition plays an important role in understanding complex human-human interaction. This paper introduces, Emolysis, a Python-based, standalone open-sourc…
Glitch in the Matrix: A Large Scale Benchmark for Content Driven Audio-Visual Forgery Detection and Localization
Zhixi Cai, Shreya Ghosh, Abhinav Dhall +3
Most deepfake detection methods focus on detecting spatial and/or spatio-temporal changes in facial attributes and are centered around the binary classification task of detecting w…
AI-based Fog and Edge Computing: A Systematic Review, Taxonomy and Future Directions
Sundas Iftikhar, Sukhpal Singh Gill, Chenghao Song +15
Resource management in computing is a very challenging problem that involves making sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse nature o…
MARLIN: Masked Autoencoder for facial video Representation LearnINg
Zhixi Cai, Shreya Ghosh, Kalin Stefanov +5
This paper proposes a self-supervised approach to learn universal facial representations from videos, that can transfer across a variety of facial analysis tasks such as Facial Att…
'Labelling the Gaps': A Weakly Supervised Automatic Eye Gaze Estimation
Shreya Ghosh, Abhinav Dhall, Jarrod Knibbe +1
Over the past few years, there has been an increasing interest to interpret gaze direction in an unconstrained environment with limited supervision. Owing to data curation and anno…
RAZE: Region Guided Self-Supervised Gaze Representation Learning
Neeru Dubey, Shreya Ghosh, Abhinav Dhall
Automatic eye gaze estimation is an important problem in vision based assistive technology with use cases in different emerging topics such as augmented reality, virtual reality an…
STOPPAGE: Spatio-temporal Data Driven Cloud-Fog-Edge Computing Framework for Pandemic Monitoring and Management
Shreya Ghosh, Anwesha Mukherjee, Soumya K Ghosh +1
Several researches and evidence show the increasing likelihood of pandemics (large-scale outbreaks of infectious disease) which has far reaching sequels in all aspects of human liv…
Mobility driven Cloud-Fog-Edge Framework for Location-aware Services: A Comprehensive Review
Shreya Ghosh, Soumya Ghosh
With the pervasiveness of IoT devices, smart-phones and improvement of location-tracking technologies huge volume of heterogeneous geo-tagged (location specific) data is generated…