6 papers
SpikePose: Lightweight Video Human Pose Estimation
Yunhao Huang, Kaushik Bhargav Sivangi, Tianyi Yu +1
Efficient video human pose estimation must balance localisation accuracy, motion quality, and energy cost. We present SpikePose, a lightweight video pose estimator that pairs a fra…
Kinematics-Induced Multimodal 3D Human Pose Estimation with Subject-Level Privacy
Kaushik Bhargav Sivangi, Fani Deligianni
Multimodal 3D Human Pose Estimation (3D HPE) combines complementary information from RGB, LiDAR, and mmWave radar, but models trained on correlated observations from the same indiv…
Privacy-Preserving Federated Action Recognition via Differentially Private Selective Tuning and Efficient Communication
Idris Zakariyya, Pai Chet Ng, Kaushik Bhargav Sivangi +3
Federated video action recognition enables collaborative model training without sharing raw video data, yet remains vulnerable to two key challenges: \textit{model exposure} and \t…
Differentially Private 2D Human Pose Estimation
Kaushik Bhargav Sivangi, Paul Henderson, Fani Deligianni
Human pose estimation (HPE) has become essential in numerous applications including healthcare, activity recognition, and human-computer interaction. However, the privacy implicati…
Artificial Intelligence-Driven Clinical Decision Support Systems
Muhammet Alkan, Idris Zakariyya, Samuel Leighton +3
As artificial intelligence (AI) becomes increasingly embedded in healthcare delivery, this chapter explores the critical aspects of developing reliable and ethical Clinical Decisio…
Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity Recognition
Idris Zakariyya, Linda Tran, Kaushik Bhargav Sivangi +2
Human motion analysis offers significant potential for healthcare monitoring and early detection of diseases. The advent of radar-based sensing systems has captured the spotlight f…