Marcel Grimmer

---

Marcel Grimmer received his B.Sc. degree of „Applied Mathematics“ in 2017 from Hochschule Darmstadt. He further received his „Data Science“ M.Sc. degree in 2020. Since 2021 he is a Ph.D. candidate in the Norwegian Biometrics Laboratory (NBL) at the Norwegian University of Science and Technology (NTNU) in close collaboration with the Biometrics and Internet-Security Research Group (da/sec). His active research focuses using deep generative networks for the generation of synthetic biometric databases used to evaluate face recognition systems and develop quality assessment algorithms.

• Biometrics
• Generative AI
• Face Image Quality Assessment

For a list of further currently offered bachelor- and master theses, please have a look at this page. If you may have a specific topic related to my research interests in mind that is not listed on the aforementioned page, please get in touch with me by email.

Journal Articles

I. Joshi, M. Grimmer, C. Rathgeb, C. Busch, F. Bremond, A. Dantcheva, „Synthetic Data in Human Analysis: A Survey“, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 46, no. 7, pp. 4957-4976, July 2024.

M. Grimmer, C. Rathgeb, C. Busch, „Pose Impact Estimation on Face Recognition Using 3D-Aware Synthetic Data with Application to Quality Assessment“, in IEEE Transactions on Biometrics, Behaviour, and Identity Science, vol. 6, no. 2, pp. 209-128, April 2024.

M. Grimmer, R. Ramachandra, C. Busch, „Deep Face Age Progression: A Survey“, in IEEE Access, 2021.

J. Kolberg, M. Grimmer, M. Barrero, C. Busch, „Anomaly Detection with Convolutional Autoencoders for Fingerprint Presentation Attack Detection“, in IEEE Transactions on Biometrics, Behaviour, and Identity Science, vol. 3, no. 2, pp. 190-202, 2021.

Conferences

M. Grimmer, H. Zhang, R. Raghavendra, K. Raja, C. Busch, „Generation of Non-Deterministic Synthetic Face Datasets Guided by Identity Priors“, in the 14th Norwegian Information Security Conference (NISK), 2021.

H. Zhang, M. Grimmer, R. Raghavendra, K. Raja, C. Busch, „On the Applicability of Synthetic Data for Face Recognition“, in the 9th IEEE International Workshop on Biometrics and Forensics (IWBF), 2021.

M. Grimmer, H. Zhang, R. Raghavendra, K. Raja, C. Busch, „Time Flies by: Analyzing the Impact of Face Ageing on Recognition Performance with Synthetic Data“, in the 22nd IEEE International Conference of the Biometrics Special Interest Group, Darmstadt, Germany, 2022.

W. Kabbani, M. Grimmer, C. Busch, „EGAIN: Extended GAN Inversion“, in the 10th IEEE European Workshop on Visual Information Processing, Lisbon, Portugal, 2022.

M. Grimmer, C. Rathgeb, R. Veldhuis, C. Busch, „NeutrEx: A 3D Quality Component Measure on Facial Expression Neutrality“, in the 7th IEEE International Joint Conference on Biometrics, Ljubljana, Slovenia, 2023.

P. Bauspiess, M. Grimmer, C. Fougner, D. Le Vasseur, T. Thaulow Stöcklin, C. Rathgeb, J. Kolberg, A. Costache, C. Busch, „HEBI: Homomorphically Encrypted Biometric Indexing“, in the 7th IEEE International Joint Conference on Biometrics, Ljubljana, Slovenia, 2023.

E. Jensen, M. Bjerre, M. Grimmer, C. Busch, „Lifespan Face Age Progression Using 3D-Aware Generative Adversarial Networks“, in the 7th IEEE International Joint Conference on Biometrics, Ljubljana, Slovenia, 2023.

M. Grimmer, R. Veldhuis, C. Busch, „Efficient Expression Neutrality Estimation with Application to Face Recognition Utility Prediction“, in the 12th IEEE International Workshop on Biometrics and Forensics, Enschede, Netherlands, 2024.

L. Gonzales-Soler, M. Grimmer, D. Fischer, C. Rathgeb, C. Busch, „PCR-HIQA: Perceptual Classifiability Ratio for Hand Image Quality Assessment“, in the 8th IEEE International Joint Conference on Biometrics, Buffalo, USA, 2024.

M. Grimmer, C. Busch, „LADIMO: Face Morph Generation through Biometric Template Inversion with Latent Diffusion“, in the 8th IEEE International Joint Conference on Biometrics, Buffalo, USA, 2024.

L. Nguyen, M. Grimmer, C. Busch, „NeutrEx-Light: Efficient Expression Neutrality Estimation for Facial Image Quality Assessment“, in the 24th IEEE International Conference of the Biometrics Special Interest Group, Darmstadt, Germany, 2024.

A. Dörsch, C. Rathgeb, M. Grimmer, C. Busch, „Detection and Mitigation of Bias in Under-Exposure Estimation for Face Image Quality Assessment“, in the 24th IEEE International Conference of the Biometrics Special Interest Group, Darmstadt, Germany, 2024.

M. Grimmer, C. Busch, „AgeDiff: Latent Diffusion-based Face Age Editing with Dual Cross-Attention“, in the 16th IEEE International Workshop on Information Forensics and Security, Rome, Italy, 2024.

Technical Report

J. Merkle and C. Rathgeb and B. Herdeanu and B. Tams and L. Day-Parn and A. Dörsch and M. Schaubert and J. Dehen and L. Chen and X. Yin and D. Huang and A. Stratmann and M. Ginzler and M. Grimmer and C. Busch, „Open Source Face Image Quality (OFIQ): Implementation and Evaluation of Algorithms“, German Federal Office for Information Security, 2024, URL: https://github.com/BSI-OFIQ/OFIQ-Project/blob/main/doc/reports/Public_Report_V1.2_2024_11_06.pdf