2 papers
cs.CV2026
When the Edit Changes the Patient: Measuring Identity Preservation in Counterfactual Retinal Images
Andrea Posada, Wenke Karbole, Bach Ngoc Doan +9
Counterfactual medical image generation aims to modify an existing image to reflect a hypothetical scenario in which certain characteristics of the imaged subject are altered, whil…
cs.CV2024
TUMTraf Event: Calibration and Fusion Resulting in a Dataset for Roadside Event-Based and RGB Cameras
Christian Creß, Walter Zimmer, Nils Purschke +5
Event-based cameras are predestined for Intelligent Transportation Systems (ITS). They provide very high temporal resolution and dynamic range, which can eliminate motion blur and…