| CR-FIQA: face image quality assessment by learning sample relative classifiability F Boutros, M Fang, M Klemt, B Fu, N Damer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 58 | 2023 |
| Pocketnet: Extreme lightweight face recognition network using neural architecture search and multistep knowledge distillation F Boutros, P Siebke, M Klemt, N Damer, F Kirchbuchner, A Kuijper IEEE Access 10, 46823-46833, 2022 | 52 | 2022 |
| Unsupervised face recognition using unlabeled synthetic data F Boutros, M Klemt, M Fang, A Kuijper, N Damer 2023 IEEE 17th International Conference on Automatic Face and Gesture …, 2023 | 26 | 2023 |
| ExFaceGAN: Exploring Identity Directions in GAN's Learned Latent Space for Synthetic Identity Generation F Boutros, M Klemt, M Fang, A Kuijper, N Damer arXiv preprint arXiv:2307.05151, 2023 | 6 | 2023 |
| On the Quality and Diversity of Synthetic Face Data and its Relation to the Generator Training Data B Fu, M Klemt, F Boutros, N Damer 2023 11th International Workshop on Biometrics and Forensics (IWBF), 1-6, 2023 | 3 | 2023 |
| On the Development of Face Recognition using Synthetic Data and Unsupervised Representation Learning M Klemt | | 2023 |
| Reducing Deep Face Recognition Model Size by Knowledge Distillation M Klemt | | 2020 |
