1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CV2022★ 1 cited
Privacy-friendly Synthetic Data for the Development of Face Morphing Attack Detectors
Naser Damer, César Augusto Fontanillo López, Meiling Fang +3
The main question this work aims at answering is: "can morphing attack detection (MAD) solutions be successfully developed based on synthetic data?". Towards that, this work introd…
cs.CV2021
Harnessing Geometric Constraints from Emotion Labels to improve Face Verification
Anand Ramakrishnan, Minh Pham, Jacob Whitehill
For the task of face verification, we explore the utility of harnessing auxiliary facial emotion labels to impose explicit geometric constraints on the embedding space when trainin…