Hands, text, backgrounds, and too-perfect faces can give AI away. Use these five quick checks — and a final context test — to judge images fast.

To match the lip movements with speech, they designed a "learning pipeline" to collect visual data from lip movements. An AI model uses this data for training, then generates reference points for ...

Abstract: Face morphing detection determines whether an image has been morphed or not. This issue is particularly relevant in passport control and biometric authentication systems. Attackers can use ...

The open-source libraries were created by Salesforce, Nvidia, and Apple with a Swiss group Vulnerabilities in popular AI and ...

Abstract: Model ensembles using linear interpolation are commonly employed to improve classification performance, with higher weights assigned to better-performing models in the ensemble. However, ...

A real-time face recognition-based attendance system built with Flask, OpenCV, and face_recognition. This project enables automatic attendance marking, user management, live monitoring, and ...