53 citations · 55 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 2 cited
A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection
Anas Al-lahham, Nurbek Tastan, Zaigham Zaheer +1
Detection of anomalous events in videos is an important problem in applications such as surveillance. Video anomaly detection (VAD) is well-studied in the one-class classification…
cs.CV2023★ 53 cited
Sky Imager-Based Forecast of Solar Irradiance Using Machine Learning
Anas Al-lahham, Obaidah Theeb, Khaled Elalem +2
Ahead-of-time forecasting of the output power of power plants is essential for the stability of the electricity grid and ensuring uninterrupted service. However, forecasting renewa…