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cs.CV2026
Detecting Temporally Localized Manipulations in Authentic Video Streams
Okan Umur, Ali Emre GüÅlü, Ibrahim Delibasoglu
The rapid advancement of video editing and generative artificial intelligence technologies has made realistic video manipulation increasingly accessible. Although existing datasets…
cs.CV2026
Cross-Domain Generalization Limits of Vision Foundation Models in Facial Deepfake Detection
Ibrahim Delibasoglu
The rapid evolution of generative models has enabled the creation of hyper-realistic facial deepfakes, exposing a critical vulnerability in modern digital forensics: the inability…
cs.CV2025
Learning Temporal Saliency for Time Series Forecasting with Cross-Scale Attention
Ibrahim Delibasoglu, Fredrik Heintz
Explainability in time series forecasting is essential for improving model transparency and supporting informed decision-making. In this work, we present CrossScaleNet, an innovati…