Dr Rangachary Kommanduri’s paper titled, ‘STAD-AI: Spatio-temporal Anomaly Detection in Videos with Attentive Dual-Stage Integration’ has been published in the Neurocomputing journal (Q1, Impact Factor = 5.5).
This work presents STAD-AI, a novel framework for video anomaly detection that combines spatio-temporal attention-based feature extraction with an attentive U-Net architecture for precise anomaly prediction.
Dr Kommanduri is Visiting Assistant Professor, Data Science at SIAS.
