2 papers
cs.CV2025
Q-Former Autoencoder: A Modern Framework for Medical Anomaly Detection
Francesco Dalmonte, Emirhan Bayar, Emre Akbas +1
Anomaly detection in medical images is an important yet challenging task due to the diversity of possible anomalies and the practical impossibility of collecting comprehensively an…
cs.CV2024
When to Extract ReID Features: A Selective Approach for Improved Multiple Object Tracking
Emirhan Bayar, Cemal Aker
Extracting and matching Re-Identification (ReID) features is used by many state-of-the-art (SOTA) Multiple Object Tracking (MOT) methods, particularly effective against frequent an…