Christian Riess

2024

• Bergmann, S., Moussa, D., Brand, F., Kaup, A., & Rieß, C. (2024). Forensic analysis of AI-compression traces in spatial and frequency domain. Pattern Recognition Letters.
  URL: https://www.sciencedirect.com/science/article/pii/S0167865524000503

2023

• Bergmann, S., Moussa, D., Brand, F., Kaup, A., & Rieß, C. (2023). Frequency-Domain Analysis of Traces for the Detection of AI-based Compression. In IEEE (Eds.), 2023 International Workshop on Biometrics and Forensics (IWBF). Barcelona, ES.
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2023-Bergmann-IWBF.pdf
• Joshaghani, M., Davari, A., Nejati Hatamian, F., Maier, A., & Riess, C. (2023). Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification. IEEE Geoscience and Remote Sensing Letters, 20. https://dx.doi.org/10.1109/LGRS.2023.3287504
• Koch, T., Rieß, C., & Köhler, T. (2023). LORD: Leveraging Open-Set Recognition with Unknown Data. In 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) (pp. 4388-4398). Paris, FR: IEEE.
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2023-Koch-ICCVW.pdf
• Lorch, B., Schirrmacher, F., Maier, A., & Rieß, C. (2023). On the Security of the One-and-a-Half-Class Classifier for SPAM Feature-Based Image Forensics. IEEE Transactions on Information Forensics and Security. https://dx.doi.org/10.1109/TIFS.2023.3266168
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2023-Lorch-OSO.pdf
• Maier, A., & Rieß, C. (2023). Zuverlässigkeit von KI in der Multimedia-Forensik. Datenschutz und Datensicherheit. https://dx.doi.org/10.1007/s11623-023-1748-2
• Moussa, D., Hirsch, G., Wankerl, S., & Rieß, C. (2023). Point to the Hidden: Exposing Speech Audio Splicing via Signal Pointer Nets. In ISCA (Eds.), Proc. INTERSPEECH 2023 (pp. 5057 - 5061). Dublin, IE.
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2023-Moussa-Interspeech.pdf
• Schirrmacher, F., Lorch, B., Maier, A., & Riess, C. (2023). Benchmarking Probabilistic Deep Learning Methods for License Plate Recognition. IEEE Transactions on Intelligent Transportation Systems, 1-14. https://dx.doi.org/10.1109/TITS.2023.3278533

2022

• Hadwiger, B., & Riess, C. (2022). Deep Metric Color Embeddings for Splicing Localization in Severely Degraded Images. IEEE Transactions on Information Forensics and Security, 17, 2614-2627. https://dx.doi.org/10.1109/TIFS.2022.3189527
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2022-Hadwiger-DMC.pdf
• Koch, T., Liebezeit, F., Rieß, C., Christlein, V., & Köhler, T. (2022). Exploring the Open World Using Incremental Extreme Value Machines. In 2022 26th International Conference on Pattern Recognition (ICPR) (pp. 2792-2799). Montréal, CA: IEEE.
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2022-Koch-ICPR.pdf
• Lorch, B., Scheler, N., & Riess, C. (2022). Compliance Challenges in Forensic Image Analysis Under the Artificial Intelligence Act. In Proceedings of the European Signal Processing Conference. Belgrade, RS.
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2022-Lorch-AIA-EUSIPCO.pdf
• Maier, A., Lorch, B., & Rieß, C. (2022). Bayesian Tools for Reliable Multimedia Forensics. In IEEE (Eds.), Proceedings of the 2022 VIII International Conference on Information Technology and Nanotechnology (ITNT). Samara, RU.
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2022-Maier-BNN-ITNT.pdf
• Maier, A., Moussa, D., Spruck, A., Seiler, J., & Rieß, C. (2022). Reliability Scoring for the Recognition of Degraded License Plates. In Proceedings of the 2022 18th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS). Madrid, ES.
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2022-Maier-AVSS.pdf
• Moussa, D., Hirsch, G., & Rieß, C. (2022). Towards Unconstrained Audio Splicing Detection and Localization with Neural Networks. In Springer Cham (Eds.), Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges. (pp. 264-280). Montréal,Québec, CA: Springer.
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2022-Moussa-MMFORWILD.pdf
• Moussa, D., Maier, A., Spruck, A., Seiler, J., & Rieß, C. (2022). Forensic License Plate Recognition with Compression-Informed Transformers. In IEEE (Eds.), 2022 IEEE International Conference on Image Processing (ICIP) (pp. 406-410). Bordeaux, France, FR: IEEE.
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2022-Moussa-FLPR.pdf
• Riess, C. (2022). Physical Integrity. In (pp. 207-234). Springer Science and Business Media Deutschland GmbH.

2021

• Deitsch, S., Buerhop-Lutz, C., Sovetkin, E., Steland, A., Gallwitz, F., Maier, A., & Rieß, C. (2021). Segmentation of Photovoltaic Module Cells in Uncalibrated Electroluminescence Images. Machine Vision and Applications, 32. https://dx.doi.org/10.1007/s00138-021-01191-9
  URL: https://arxiv.org/pdf/1806.06530.pdf
• Dietrich-Sussner, R., Davari, A., Seehaus, T., Braun, M., Christlein, V., Maier, A., & Rieß, C. (2021). Synthetic Glacier SAR Image Generation from Arbitrary Masks Using Pix2Pix Algorithm. In Proceedings of the 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS. Brussels, BE.
  URL: https://arxiv.org/abs/2101.03252
• Felsner, L., Roser, P., Maier, A., & Riess, C. (2021). Comparison of methods for sensitivity correction in Talbot–Lau computed tomography. International Journal of Computer Assisted Radiology and Surgery. https://dx.doi.org/10.1007/s11548-021-02487-x
• Felsner, L., Syben-Leisner, C., Maier, A., & Riess, C. (2021). Helical Dark-field Fiber Reconstruction. In Proceedings of the International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D).
• Hadwiger, B., & Rieß, C. (2021). The Forchheim Image Database for Camera Identification in the Wild. In Proceedings of the Multimedia Forensics in the Wild (MMForWild 2020). Mailand, IT.
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2021-Hadwiger-FDB.pdf
• Kaiser, P., Schirrmacher, F., Lorch, B., & Rieß, C. (2021). Learning to Decipher License Plates in Severely Degraded Images. In Pattern Recognition. ICPR International Workshops and Challenges. ICPR 2021 (pp. 544-559).
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2021-Schirrmacher-LTD.pdf
• Lorch, B., Schirrmacher, F., Maier, A., & Rieß, C. (2021). Reliable Camera Model Identification Using Sparse Gaussian Processes. IEEE Signal Processing Letters, 28, 912-916. https://dx.doi.org/10.1109/LSP.2021.3070206
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2021-Lorch-GPC.pdf
• Moussa, D., Maier, A., Schirrmacher, F., & Rieß, C. (2021). Sequence-based Recognition of License Plates with Severe Out-of-Distribution Degradations. In Springer, Cham (Eds.), Computer Analysis of Images and Patterns (pp. 175-185). Virtual Conference, CY: Springer Nature Switzerland AG.
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2021-Moussa-SRLP.pdf
• Pan, J., Maier, A., Lorch, B., & Rieß, C. (2021). Reliable Camera Model Identification Through Uncertainty Estimation. In Proceedings of the IEEE International Workshop on Biometrics and Forensics.
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2021-Pan-IWBF.pdf
• Riess, C. (2021). Möglichkeiten und Grenzen bei der Ermittlung von Wahrheit mit Maschinellem Lernen. In C. Schicha, I. Stapf, S. Sell (Hrg.), Medien und Wahrheit - Medienethische Perspektiven auf Desinformation, Lügen und "Fake News". (S. 341-358). Nomos.
• Roser, P., Felsner, L., Maier, A., & Riess, C. (2021). Learning the Inverse Weighted Radon Transform. In Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 49-54). Regensburg, DE: Springer Science and Business Media Deutschland GmbH.
• Spruck, A., Hawesch, M., Maier, A., Rieß, C., Seiler, J., & Kaup, A. (2021). 3D Rendering Framework for Data Augmentation in Optical Character Recognition. In ISSCS 2021 - International Symposium on Signals, Circuits and Systems. Iasi, Romania (virtual), RO: Institute of Electrical and Electronics Engineers Inc..
  URL: https://arxiv.org/abs/2209.14970
• Villar-Corrales, A., Schirrmacher, F., & Rieß, C. (2021). Deep Learning Architectural Designs for Super-Resolution of Noisy Images. In ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 1635-1639).

2020

• Felsner, L., Käppler, S., Maier, A., & Riess, C. (2020). Truncation Correction for X-ray Phase-Contrast Region-of-Interest Tomography. IEEE Transactions on Computational Imaging, 6, 625 - 639. https://dx.doi.org/10.1109/TCI.2020.2964217
• Felsner, L., Würfl, T., Syben-Leisner, C., Roser, P., Preuhs, A., Maier, A., & Riess, C. (2020). Reconstruction of Voxels with Position- and Angle-Dependent Weightings. In Proceedings of the The 6th International Conference on Image Formation in X-Ray Computed Tomography. Online meeting.
• Lorch, B., Maier, A., & Riess, C. (2020). Reliable JPEG Forensics via Model Uncertainty. In Proceedings of the IEEE International Workshop on Information Forensics and Security. online.
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2020-Lorch-BLR.pdf
• Maier, A., Christlein, V., Breininger, K., Wuerfl, T., Unberath, M., & Rieß, C. (2020). Bildanalyse. In Günther Görz, Ute Schmid, Tanya Braun (Hrg.), Handbuch der Künstichen Intelligenz. (S. 673--712). De Gruyter.
• Maier, A., Lorch, B., & Riess, C. (2020). Toward Reliable Models For Authenticating Multimedia Content: Detecting Resampling Artifacts With Bayesian Neural Networks. In Proceedings of the IEEE International Conference on Image Processing (pp. 1251 - 1255).
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2020-Maier-BNN.pdf
• Matern, F., Riess, C., & Stamminger, M. (2020). Depth Map Fingerprinting and Splicing Detection. In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 2782-2786). Barcelona, ES: IEEE.
• Mullan, P., Riess, C., & Freiling, F. (2020). Towards Open-Set Forensic Source Grouping on JPEG Header Information. Forensic Science International: Digital Investigation, 32(S). https://dx.doi.org/10.1016/j.fsidi.2020.300916
• Pugliese, G., Rieß, C., Gassmann, F., & Benenson, Z. (2020). Long-Term Observation on Browser Fingerprinting: Users’ Trackability and Perspective. In Sciendo (Eds.), Proceedings on Privacy Enhancing Technologies (PoPETs), Volume 2020: Issue 2 (pp. 558-577).
  URL: https://petsymposium.org/popets/2020/popets-2020-0041.pdf
• Schirrmacher, F., Lorch, B., Stimpel, B., Köhler, T., & Riess, C. (2020). SR²: Super-Resolution With Structure-Aware Reconstruction. In Proceedings of the 2020 IEEE International Conference on Image Processing (ICIP) (pp. 533-537). Online.
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2020-Schirrmacher-SR2.pdf
• Schirrmacher, F., Riess, C., & Köhler, T. (2020). Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems. IEEE Transactions on Computational Imaging, 6(1), 503--517. https://dx.doi.org/10.1109/TCI.2019.2956888
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2020-Schirrmacher-AQS.pdf

2019

• Armknecht, F., Benenson, Z., Morgner, P., Müller, C., & Riess, C. (2019). Privacy implications of room climate data. Journal of Computer Security, 27(1), 113-136. https://dx.doi.org/10.3233/JCS-181133
  URL: https://content.iospress.com/articles/journal-of-computer-security/jcs181133
• Bopp, J., Ludwig, V., Seifert, M., Pelzer, G., Maier, A., Anton, G., & Riess, C. (2019). Simulation study on X-ray phase contrast imaging with dual-phase gratings. International Journal of Computer Assisted Radiology and Surgery, 14(1), 3-10. https://dx.doi.org/10.1007/s11548-018-1872-x
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Bopp18-SSO.pdf
• Davari, A., Özkan, H.C., Maier, A., & Rieß, C. (2019). Fast and Efficient Limited Data Hyperspectral Remote Sensing Image Classification via GMM-Based Synthetic Samples. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 12(7), 2107-2120. https://dx.doi.org/10.1109/JSTARS.2019.2916495
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2019/Davari_JSTARS_2019.pdf
• Deitsch, S., Christlein, V., Berger, S., Buerhop-Lutz, C., Maier, A., Gallwitz, F., & Riess, C. (2019). Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images. Solar Energy, 185, 455-468. https://dx.doi.org/10.1016/j.solener.2019.02.067
  URL: https://arxiv.org/pdf/1807.02894.pdf
• Felsner, L., Hu, S., Ludwig, V., Anton, G., Maier, A., & Rieß, C. (2019). On the Characteristics of Helical 3-D X-ray Dark-field Imaging. In Proceedings of the Bildverarbeitung für die Medizin (BVM 2019) (pp. 264-269). Lübeck.
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2019/Felsner19-OTC.pdf
• Felsner, L., Hu, S., Maier, A., Bopp, J., Ludwig, V., Anton, G., & Riess, C. (2019). A 3-D Projection Model for X-ray Dark-field Imaging. Scientific Reports, 9. https://dx.doi.org/10.1038/s41598-019-45708-9
• Hadwiger, B., Baracchi, D., Piva, A., & Riess, C. (2019). Towards learned color representations for image splicing detection. In 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing Proceedings. Brighton, GB.
• Köhler, T., Bätz, M., Naderi Boldaji, F., Kaup, A., Maier, A., & Rieß, C. (2019). Toward Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data. IEEE Transactions on Pattern Analysis and Machine Intelligence, 41. https://dx.doi.org/10.1109/TPAMI.2019.2917037
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2019/Koehler19-TBT.pdf
• Lorch, B., & Riess, C. (2019). Image Forensics from Chroma Subsampling of High-Quality JPEG Images. In Proceedings of the ACM Workshop on Information Hiding and Multimedia Security. Paris, FR.
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2019-Lorch-IFC.pdf
• Maier, A., Syben-Leisner, C., Lasser, T., & Riess, C. (2019). A gentle introduction to deep learning in medical image processing [Eine sanfte Einführung in Tiefes Lernen in der Medizinischen Bildverarbeitung]. Zeitschrift für Medizinische Physik, 29(2), 86-101. https://dx.doi.org/10.1016/j.zemedi.2018.12.003
• Matern, F., Riess, C., & Stamminger, M. (2019). Exploiting Visual Artifacts to Expose Deepfakes and Face Manipulations. In IEEE Workshop on Applications in Computer Vision (pp. 83-92). Waikoloa Village, HI, US: IEEE.
  URL: https://faui1-files.cs.fau.de/public/mmsec/pub/matern_ivfws_2019_face_artifacts.pdf
• Matern, F., Riess, C., & Stamminger, M. (2019). Gradient-Based Illumination Description for Image Forgery Detection. IEEE Transactions on Information Forensics and Security. https://dx.doi.org/10.1109/TIFS.2019.2935913
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2019-Matern-GBI.pdf
• Mullan, P., Riess, C., & Freiling, F. (2019). Forensic source identification using JPEG image headers: The case of smartphones. Digital Investigation, 28, S68-S76. https://dx.doi.org/10.1016/j.diin.2019.01.016
• Mullan, P., Rieß, C., & Freiling, F. (2019). Forensic Source Identification using JPEG Image Headers: The Case of Smartphones. In Digital Investigation. Oslo, NO.
• Riess, C. (2019). Täuschend echt: Die Erzeugung von digitalen Bildfälschungen und ihre Erkennung. In Rudolph Freiburg (Hrg.), Täuschungen - Erlanger Universitätstage 2018. (S. 95-113). Erlangen: FAU University Press.
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2019-Riess-TEE.pdf
• Roessler, A., Cozzolino, D., Verdoliva, L., Riess, C., Thies, J., & Niessner, M. (2019). FaceForensics plus plus : Learning to Detect Manipulated Facial Images. In 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019) (pp. 1-11). Seoul, KR: LOS ALAMITOS: IEEE COMPUTER SOC.
• Roessler, A., Cozzolino, D., Verdoliva, L., Rieß, C., Thies, J., & Niessner, M. (2019). FaceForensics++: Learning to Detect Manipulated Facial Images.
  URL: https://arxiv.org/pdf/1901.08971.pdf
• Seifert, M., Ludwig, V., Käppler, S., Horn, F., Meyer, P., Pelzer, G.,... Anton, G. (2019). Talbot-Lau x-ray phase-contrast setup for fast scanning of large samples. Scientific Reports, 9. https://dx.doi.org/10.1038/s41598-018-38030-3

2018

• Bopp, J., Felsner, L., Hu, S., Käppler, S., & Riess, C. (2018). X-ray Phase Contrast: Research on a Future Imaging Modality. Cham: Springer.
• Bopp, J., Felsner, L., Hu, S., Käppler, S., & Riess, C. (2018). X-ray Phase Contrast: Research on a Future Imaging Modality. In Medical Imaging Systems - An Introductory Guide. (pp. 191--205).
• Bopp, J., Gallersdörfer, M., Ludwig, V., Seifert, M., Maier, A., Anton, G., & Riess, C. (2018). Phasenkontrast Röntgen mit 2 Phasengittern und medizinisch relevanten Detektoren. In Proceedings des Workshops Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme - Anwendungen (S. 170--175). Erlangen.
• Bopp, J., Ludwig, V., Gallersdörfer, M., Seifert, M., Pelzer, G., Maier, A.,... Riess, C. (2018). Towards a dual phase grating interferometer on clinical hardware. In Proceedings of the Medical Imaging 2018: Physics of Medical Imaging (pp. 1057321). SPIE.
  URL: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10573/1057321/Towards-a-dual-phase-grating-interferometer-on-clinical-hardware/10.1117/12.2292811.short
• Cozzolino, D., Thies, J., Roessler, A., Riess, C., Niessner, M., & Verdoliva, L. (2018). ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection.
  URL: https://arxiv.org/pdf/1812.02510
• Davari, A., Aptoula, E., Yanikoglu, B., Maier, A., & Riess, C. (2018). GMM-based Synthetic Samples for Classification of Hyperspectral Images with Limited Training Data. IEEE Geoscience and Remote Sensing Letters, 15(6), 942-946. https://dx.doi.org/10.1109/LGRS.2018.2817361
  URL: https://arxiv.org/pdf/1712.04778.pdf
• Davari, A., Sakaltras, N., Haeberle, A., Vesal, S., Christlein, V., Maier, A., & Riess, C. (2018). Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings. In International Conference on Image Processing (ICIP) (pp. tbd). Athens, Greece: IEEE Computer Society.
  URL: http://arxiv.org/abs/1801.09472
• Davari, A., Özkan, H.C., Maier, A., & Riess, C. (2018). Fast Sample Generation with Variational Bayesian for Limited Data Hyperspectral Image Classification. In IEEE International Geoscience and Remote Sensing Symposium. Valencia, ES: IEEE.
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Davari18-FSG.pdf
• Felsner, L., Berger, M., Käppler, S., Bopp, J., Ludwig, V., Weber, T.,... Riess, C. (2018). Phase-Sensitive Region-of-Interest Computed Tomography. In 21st International Conference on Medical Image Computing and Computer Assisted Intervention (pp. 137-144). Granada, ES: Springer Verlag.
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Felsner18-PRC.pdf
• Fürsattel, P., Placht, S., Maier, A., & Riess, C. (2018). Geometric primitive refinement for structured light cameras. Machine Vision and Applications, 29(2), 313-327. https://dx.doi.org/10.1007/s00138-017-0901-z
• Horn, F., Leghissa, M., Käppler, S., Pelzer, G., Rieger, J., Seifert, M.,... Anton, G. (2018). Implementation of a Talbot-Lau Interferometer in a Clinical-like C-Arm Setup: A Feasibility Study. Scientific Reports, 8(1). https://dx.doi.org/10.1038/s41598-018-19482-z
  URL: https://www.nature.com/articles/s41598-018-19482-z
• Hu, S., Felsner, L., Maier, A., Ludwig, V., Anton, G., & Riess, C. (2018). A 3-D Projection Model for X-ray Dark-field Imaging.
  URL: https://arxiv.org/pdf/1811.04457
• Käppler, S., Maier, A., & Riess, C. (2018). Differential Tomography: Influence of Sensitivity Direction and Noise-suppressing Windows. In Proceedings of the 5th International Conference on Image Formation in X-ray Computed Tomography (CT-Meeting) (pp. 119-122).
• Köhler, T., Bätz, M., Naderi Boldaji, F., Kaup, A., Maier, A., & Riess, C. (2018). Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data.
  URL: https://arxiv.org/pdf/1809.06420
• Maier, A., Syben-Leisner, C., Lasser, T., & Riess, C. (2018). A Gentle Introduction to Deep Learning in Medical Image Processing.
  URL: https://arxiv.org/pdf/1810.05401
• Ploner, S., Riess, C., Schottenhamml, J., Moult, E.M., Waheed, N.K., Fujimoto, J.G., & Maier, A. (2018). A Joint Probabilistic Model for Speckle Variance, Amplitude Decorrelation and Interframe Variance (IFV) Optical Coherence Tomography Angiography. In Proceedings des Workshops Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme - Anwendungen (pp. 98--102). Erlangen.
• Roessler, A., Cozzolino, D., Verdoliva, L., Riess, C., Thies, J., & Niessner, M. (2018). FaceForensics: A Large-scale Video Dataset for Forgery Detection in Human Faces.
  URL: http://arxiv.org/abs/1803.09179
• Schirrmacher, F., Köhler, T., & Riess, C. (2018). Adaptive Quantile Sparse Image (AQuaSI) Prior for Inverse Imaging Problems.
  URL: http://arxiv.org/abs/1804.02152
• Seuffert, J., Stamminger, M., & Riess, C. (2018). Towards Forensic Exploitation of 3-D Lighting Environments in Practice. In Beiträge der 9. Jahrestagung des Fachbereichs Sicherheit der Gesellschaft fü}r Informatik e.V. (GI) (pp. 159--169). Konstanz.

2017

• Berger, M., Xia, Y., Aichinger, W., Mentl, K., Unberath, M., Aichert, A.,... Maier, A. (2017). Motion Compensation for Cone-Beam CT using Fourier Consistency Conditions. Physics in Medicine and Biology, 62(17), 7181-7215. https://dx.doi.org/10.1088/1361-6560/aa8129
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Berger17-MCF.pdf
• Bopp, J., Bartl, P., Ritschl, L., Radicke, M., Maier, A., Anton, G., & Riess, C. (2017). Towards cartilage diagnosis in X-ray phase-contrast interferometry. In 14th IEEE International Symposium on Biomedical Imaging (pp. 573--577). Melbourne, AU.
• Davari, A., Christlein, V., Vesal, S., Maier, A., & Riess, C. (2017). GMM Supervectors for Limited Training Data in Hyperspectral Remote Sensing Image Classification. In Proceedings of the 17th International Conference on Computer Analysis of Images and Patterns Part II (pp. 296--306). Ystad, SE.
• Davari, A., Haeberle, A., & Riess, C. (2017). Sketch Layer Separation in Multi-Spectral Historical Document Images. In International Symposium on Digital Humanities: Book of Abstracts (pp. 29-32).
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Davari17-IDHS-TR.pdf
• Davari, A., Lindenberger, T., Haeberle, A., Christlein, V., Maier, A., & Riess, C. (2017). Image Registration for the Alignment of Digitized Historical Documents.
  URL: http://arxiv.org/abs/1712.04482
• Fürsattel, P., Plank, C., Maier, A., & Riess, C. (2017). Accurate laser scanner to camera calibration with application to range sensor evaluation. IPSJ Transactions on Computer Vision and Applications, 9, 21. https://dx.doi.org/10.1186/s41074-017-0032-5
• Fürsattel, P., Schaller, C., Maier, A., & Riess, C. (2017). Distance error correction for time-of-flight cameras. In SPIE (Eds.), Proceedings of the Automated Visual Inspection and Machine Vision II (pp. 10334010). SPIE.
• Horn, F., Gelse, K., Jabari, S., Hauke, C., Käppler, S., Ludwig, V.,... Anton, G. (2017). High-Energy X-Ray Talbot-Lau Radiography of a Human Knee. Physics in Medicine and Biology, 62(16), 6729-6745. https://dx.doi.org/10.1088/1361-6560/aa7721
  URL: http://iopscience.iop.org/article/10.1088/1361-6560/aa7721/
• Hu, S., Yang, F., Kaufmann, R., Griffa, M., Anton, G., Maier, A., & Riess, C. (2017). Towards quantification of kidney stones using X-ray dark-field tomography. In 14th IEEE International Symposium on Biomedical Imaging (pp. 1112--1115). Melbourne, AU.
• Käppler, S., Rieger, J., Pelzer, G., Horn, F., Michel, T., Maier, A.,... Riess, C. (2017). Improved Reconstruction of Phase-Stepping Data for Talbot-Lau X-Ray Imaging. Journal of Medical Imaging, 4(3). https://dx.doi.org/10.1117/1.JMI.4.3.034005
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Kaeppler17-IRO.pdf
• Käppler, S., Seifert, M., Horn, F., Pelzer, G., Rieger, J., Michel, T.,... Riess, C. (2017). Talbot-Lau X-ray phase contrast for tiling-based acquisitions without reference scanning. Medical Physics, 44(5), 1886-1898. https://dx.doi.org/10.1002/mp.12200
• Köhler, T., Bätz, M., Naderi Boldaji, F., Kaup, A., Maier, A., & Riess, C. (2017). Benchmarking Super-Resolution Algorithms on Real Data.
  URL: http://arxiv.org/abs/1709.04881
• Morgner, P., Müller, C., Ring, M., Eskofier, B., Riess, C., Armknecht, F., & Benenson, Z. (2017). Privacy Implications of Room Climate Data. In Proceedings of the 22nd European Symposium on Research in Computer Security (ESORICS 2017) (pp. 324-343). Oslo, NO.
  URL: https://faui1-files.cs.fau.de/filepool/publications/esorics2017_privacy_room_climate.pdf
• Mullan, P., Cozzolino, D., Verdoliva, L., & Riess, C. (2017). Residual-based forensic comparison of video sequences. In IEEE International Conference on Image Processing (pp. 1507--1511). Beijing, CN.
• Riess, C. (2017). Illumination analysis in physics-based image forensics: A joint discussion of illumination direction and color. In Proceedings of the 28th Tyrrhenian International Workshop on Digital Communications, TIWDC 2017 (pp. 95-108). Springer Verlag.
• Riess, C., Unberath, M., Naderi Boldaji, F., Pfaller, S., Stamminger, M., & Angelopoulou, E. (2017). Handling multiple materials for exposure of digital forgeries using 2-D lighting environments. Multimedia Tools and Applications, 76(4), 4747-4764. https://dx.doi.org/10.1007/s11042-016-3655-0
• Schiffers, F., Käppler, S., Pelzer, G., Wolf, A., Maier, A., Anton, G., & Riess, C. (2017). Polychromatic Maximum Likelihood Reconstruction for Talbot-Lau X-ray Tomography. In International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D).
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Schiffers17-PML.pdf

2016

• Fürsattel, P., Deitsch, S., Placht, S., Balda, M., Maier, A., & Riess, C. (2016). OCPAD - Occluded Checkerboard Pattern Detector. In Proceedings of the IEEE Winter Conference on Applications of Computer Vision (pp. 1--9). Lake Placid, NY, US: IEEE.
• Fürsattel, P., Placht, S., Balda, M., Schaller, C., Hofmann, H., Maier, A., & Riess, C. (2016). A Comparative Error Analysis of Current Time-of-Flight Sensors. IEEE Transactions on Computational Imaging, 2(1), 27--41. https://dx.doi.org/10.1109/TCI.2015.2510506
• Rausch, J., Maier, A., Fahrig, R., Choi, J.-H., Hinshaw, W., Schebesch, F.,... Riess, C. (2016). Kinect-Based Correction of Overexposure Artifacts in Knee Imaging with C-Arm CT Systems. International Journal of Biomedical Imaging, 2016, 2502486:1-15. https://dx.doi.org/10.1155/2016/2502486
  URL: http://downloads.hindawi.com/journals/ijbi/2016/2502486.pdf
• Seifert, M., Käppler, S., Hauke, C., Horn, F., Pelzer, G., Rieger, J.,... Anton, G. (2016). Optimisation of Image Reconstruction for Phase-Contrast X-Ray Talbot-Lau Imaging with regard to Mechanical Robustness. Physics in Medicine and Biology, 61(17), 6441-6464. https://dx.doi.org/10.1088/0031-9155/61/17/6441
  URL: http://iopscience.iop.org/article/10.1088/0031-9155/61/17/6441/meta
• Steg, A., Reichenbach, M., Söll, C., Shi, L., Maier, A., & Riess, C. (2016). Dynamic Pixel Binning allows Spatial and Angular Resolution Tradeoffs to improve Image Quality in X-Ray C-Arm CT. In Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI) (pp. 577-580). Prague.

2015

• Hu, S., Maier, A., Hornegger, J., Bayer, F., Weber, T., Anton, G., & Riess, C. (2015). A 3-D Scattering Model for Orientation-dependent X-ray Dark-field Imaging. In Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (pp. 220-223).
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Hu15-A3S.pdf
• Hu, S., Riess, C., Hornegger, J., Fischer, P., Bayer, F., Weber, T.,... Maier, A. (2015). 3D Tensor Reconstruction in X-Ray Dark-Field Tomography: The First Phantom Result. In Bildverarbeitung für die Medizin 2015 (pp. 492-497). Lübeck, DE: Kluwer Academic Publishers.
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Hu15-3TR.pdf
• Riess, C., Kirchner, M., & Schoettle, P. (2015). Thinking beyond the block: block matching for copy-move forgery detection revisited. In Media Watermarking, Security, and Forensics 2015 (pp. 940903). San Francisco, US.
• Riess, C., Mohamed, A., Hinshaw, W., & Fahrig, R. (2015). On Filtration for High-Energy Phase-Contrast X-Ray Imaging. In International Society for Optics and Photonics (Eds.), Medical Imaging 2015: Physics of Medical Imaging (pp. 941251).
• Riess, C., Pfaller, S., & Angelopoulou, E. (2015). Reflectance Normalization in Illumination-Based Image Manipulation Detection. In New Trends in Image Analysis and Processing - ICIAP 2015 Workshops - ICIAP 2015 International Workshops: BioFor, CTMR, RHEUMA, ISCA, MADiMa, SBMI, and QoEM (pp. 3--10). Genoa, IT.

2014

• Bayer, F., Hu, S., Maier, A., Weber, T., Anton, G., Michel, T., & Riess, C. (2014). Reconstruction of scalar and vectorial components in X-ray dark-field tomography. Proceedings of the National Academy of Sciences of the United States of America, 111, 12699-12704. https://dx.doi.org/10.1073/pnas.1321080111
• Beigpour, S., Riess, C., van de Weijer, J., & Angelopoulou, E. (2014). Multi-Illuminant Estimation With Conditional Random Fields. IEEE Transactions on Image Processing, 23(1), 83--96. https://dx.doi.org/10.1109/TIP.2013.2286327
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2014-Beigpour-MEW.pdf
• Bernecker, D., Riess, C., Angelopoulou, E., & Hornegger, J. (2014). Continuous Short-term Irradiance Forecasts using Sky Images. Solar Energy, 110, 303-315. https://dx.doi.org/10.1016/j.solener.2014.09.005
• Bögel, M., Riess, C., Maier, A., Hornegger, J., & Fahrig, R. (2014). Respiratory Motion Estimation using a 3D Diaphragm Model. In Bildverarbeitung in der Medizin 2014 (pp. 240-245). Aachen, DE: Berlin Heidelberg: Springer Verlag.
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Boegel14-RME.pdf
• Käppler, S., Bayer, F., Weber, T., Maier, A., Anton, G., Hornegger, J.,... Riess, C. (2014). Signal decomposition for X-ray dark-field imaging. In MICCAI 2014 (pp. 170-177).
• Käppler, S., Wandner, J., Weber, T., Maier, A., Anton, G., Hornegger, J., & Riess, C. (2014). Shading Correction for Grating-based Differential Phase Contrast X-ray Imaging. In IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC). Seattle, US: IEEE.
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Kaeppler14-SCF.pdf
• Späth, A., Schöll, S., Riess, C., Schmidtel, D., Paradossi, G., Raabe, J.,... Fink, R. (2014). STXM goes 3D: Digital reconstruction of focal stacks as novel approach towards confocal soft x-ray microscopy. Ultramicroscopy, 144, 19-25. https://dx.doi.org/10.1016/j.ultramic.2014.04.004

2013

• Bernecker, D., Riess, C., Christlein, V., Angelopoulou, E., & Hornegger, J. (2013). Representation Learning for Cloud Classification. In Weickert Joachim, Hein Matthias, Schiele Bernt (Eds.), Pattern Recognition (pp. 395-404). Saarbrücken, DE.
  URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Bernecker13-RLF.pdf
• Carvalho, T., Riess, C., Angelopoulou, E., Pedrini, H., & Rocha, A. (2013). Exposing Digital Image Forgeries by Illumination Color Classification. IEEE Transactions on Information Forensics and Security, 8(7), 1182--1194. https://dx.doi.org/10.1109/TIFS.2013.2265677
• Christlein, V., Riess, C., Angelopoulou, E., Evangelopoulos, G., & Kakadiaris, I. (2013). The Impact of Specular Highlights on 3D-2D Face Recognition. In SPIE (Eds.), Biometric and Surveillance Technology for Human and Activity Identification (pp. 8712-19). Baltimore, MD, US.
  URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Christlein13-TIO.pdf
• Gloe, T., Kirchner, M., & Riess, C. (2013). How we learned to stop worrying about content and love the metadata.
  URL: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.714.5583&rep=rep1&type=pdf
• Maier, A., Hofmann, H., Berger, M., Fischer, P., Schwemmer, C., Wu, H.,... Fahrig, R. (2013). CONRAD - A software framework for cone-beam imaging in radiology. Medical Physics, 40(11), 111914. https://dx.doi.org/10.1118/1.4824926
  URL: https://aapm.onlinelibrary.wiley.com/doi/full/10.1118/1.4824926
• Maier, A., Jiang, Z., Jordan, J.M., Riess, C., Hofmann, H., & Hornegger, J. (2013). Atlas-Based Linear Volume-of-Interest (ABL-VOI) Image Correction. In SPIE (Eds.), Medical Imaging 2013: Physics of Medical Imaging (pp. 8668-83). Lake Buena Vista, FL, US.
  URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Maier13-ALV.pdf
• Meyer, M., Riess, C., Angelopoulou, E., Evangelopoulos, G., & Kakadiaris, I. (2013). Color Constancy in 3D-2D Face Recognition. In SPIE (Eds.), Biometric and Surveillance Technology for Human and Activity Identification (pp. 8712-17). Baltimore, MD, US.
  URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Meyer13-CCI.pdf
• Riess, C. (2013). Physics-based and Statistical Features for Image Forensics - Physikalische und statistische Merkmale in der Bildforensik (Dissertation).
  URL: http://www.opus.ub.uni-erlangen.de/opus/volltexte/2013/4645/
• Riess, C., Berger, M., Wu, H., Manhart, M., Fahrig, R., & Maier, A. (2013). TV or not TV? That is the Question. In Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (pp. 341-344). Lake Tahoe, US.
  URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Riess13-TON.pdf
• Riess, C., Pfaller, S., Bernecker, D., & Angelopoulou, E. (2013). Towards the Estimation of Non-Uniform Illumination in Real-World Scenes. In Proceedings of the 19. Workshop Farbbildverarbeitung. Berlin, DE: Gesellschaft zur Förderung angewandter Informatik.
  URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Riess13-TTE.pdf
• Wang, J., Riess, C., Borsdorf, A., Heigl, B., & Hornegger, J. (2013). Sparse Depth Sampling for Interventional 2-D/3-D Overlay: Theoretical Error Analysis and Enhanced Motion Estimation. In Proceedings of the 15th International Conference on Computer Analysis of Images and Patterns - Part I (pp. 86--93). York, GB.
• Wang, J., Riess, C., Borsdorf, A., Heigl, B., & Hornegger, J. (2013). Sparse Depth Sampling for Interventional 2-D/3-D Overlay: Theoretical Error Analysis and Enhanced Motion Estimation. In Wilson Richard, Hancock Edwin, Bors Adrian, Smith William (Eds.), Computer Analysis of Images and Patterns (pp. 86-93). York, UK, GB: York, UK: Springer Berlin Heidelberg.
  URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Wang13-SDS.pdf
• Xia, Y., Berger, M., Riess, C., Hornegger, J., & Maier, A. (2013). Dose Reduction Achieved by Dynamically Collimating the Redundant Rays in Fan-beam and Cone-beam CT. In Proceedings of the IEEE NSS/MIC 2013 (pp. 1-4). Seoul, KR.
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2013/Xia13-DRA.pdf

2012

• Bernecker, D., Riess, C., Angelopoulou, E., & Hornegger, J. (2012). Towards Improving Solar Irradiance Forecasts with Methods from Computer Vision. In Pattern Recognition (Joint 34th DAGM and 36th OAGM Symposium). Graz, AT.
  URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2012/Bernecker12-TIS.pdf
• Carvalho, T., Riess, C., Angelopoulou, E., Pedrini, H., & Rocha, A. (2012). Detecting Photograph Manipulation Through Color Constancy Analysis and Feature Engineering.
  URL: https://pdfs.semanticscholar.org/2101/a169125030e58f3e96783f5f2cb013046ecc.pdf
• Christlein, V., Riess, C., Jordan, J.M., Riess, C., & Angelopoulou, E. (2012). An Evaluation of Popular Copy-Move Forgery Detection Approaches. IEEE Transactions on Information Forensics and Security, 7(6), 1841-1854. https://dx.doi.org/10.1109/TIFS.2012.2218597
  URL: https://www5.cs.fau.de/research/groups/computer-vision/image-forensics/evaluation-of-copy-move-forgery-detection/
• Riess, C., Strehl, V., & Wanka, R. (2012). The Spectral Relation between the Cube-Connected Cycles and the Shuffle-Exchange Network. In GI (Eds.), Proc. 10th Workshop on Parallel Systems and Algorithms (PASA) of the 25th Int. Conf. on Architecture of Computing Systems (ARCS) (pp. 505-516). München, DE.
• Zach, F., Riess, C., & Angelopoulou, E. (2012). Automated Image Forgery Detection through Classification of JPEG Ghosts. In Pattern Recognition - Joint 34th DAGM and 36th OAGM Symposium (pp. 185-194). Graz, AT.
  URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2012/Zach12-AIF.pdf

2011

• Bauer, F., Blank, P., Bleier, M., Dohrn, H., Eischer, M., Friedrich, S.,... Riess, C. (2011). ER-Force Team Description Paper for RoboCup 2011. In RoboCup 2011: Robot Soccer World Cup XV Proceedings (pp. N/A). Istanbul, Turkey, TR: Istanbul, Turkey: -.
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2011/Bauer11-ETD.pdf
• Bleier, M., Riess, C., Beigpour, S., Eibenberger, E., Angelopoulou, E., Tröger, T., & Kaup, A. (2011). Color constancy and non-uniform illumination: Can existing algorithms work? In Proceedings of the 2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011 (pp. 774-781). Barcelona, ES.
• Jiang, Z., Keck, B., Riess, C., Fischer, D., Mertelmeier, T., & Hornegger, J. (2011). Metal Artifact Reduction of Biopsy Needles in Digital Breast Tomosynthesis. In 7th Russian-Bavarian Conference on Biomedical Engineering.
• Riess, C., Eibenberger, E., & Angelopoulou, E. (2011). Illuminant color estimation for real-world mixed-illuminant scenes. In IEEE International Conference on Computer Vision Workshops (pp. 782--789). Barcelona, ES.

2010

• Blank, P., Bleier, M., Kallwies, J., Kugler, P., Lahmann, D., Nordhus, P., & Riess, C. (2010). ER-Force Team Description Paper for RoboCup 2010. In RoboCup 2010: Robot Soccer World Cup XIV Proceedings (pp. N/A). Singapore, Singapore: Singapore, Singapore.
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2010/Blank-ETD.pdf
• Christlein, V., Riess, C., & Angelopoulou, E. (2010). A Study on Features for the Detection of Copy-Move Forgeries. In Sicherheit 2010: Sicherheit, Schutz und Zuverlässigkeit, Beiträge der 5. Jahrestagung des Fachbereichs Sicherheit der Gesellschaft fü}r Informatik e.V. (GI) (pp. 105--116). Berlin, DE.
  URL: http://subs.emis.de/LNI/Proceedings/Proceedings170/article5760.html
• Christlein, V., Riess, C., & Angelopoulou, E. (2010). On rotation invariance in copy-move forgery detection. In 2010 IEEE International Workshop on Information Forensics and Security (pp. 1--6). Seattle, US.
• Riess, C., & Angelopoulou, E. (2010). Scene Illumination as an Indicator of Image Manipulation. In Information Hiding - 12th International Conference (pp. 66--80). Calgary, CA.
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2010-Riess-SIA.pdf

2009

• Blank, P., Bleier, M., Drexler, S., Kallwies, J., Kugler, P., Lahmann, D.,... Tully, J. (2009). ER-Force Team Description Paper for RoboCup 2009. In RoboCup Foundation (Eds.), RoboCup 2009: Robot Soccer World Cup XIII Proceedings (pp. N/A). Graz, Austria, AT: Graz, Austria.
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2009/Blank09-ETD.pdf
• Heim, C., Riess, C., Borsdorf, A., Hofmann, C., & Hornegger, J. (2009). Automated Evaluation of Image Quality in Mammography. In Proceedings of the 5th Russian-Bavarian Conference on Biomedical Engineering (pp. 31-34).
• Riess, C., & Angelopoulou, E. (2009). Physics-based illuminant color estimation as an image semantics clue. In Proceedings of the International Conference on Image Processing (pp. 689--692). Cairo, EG.
• Riess, C., Eibenberger, E., & Angelopoulou, E. (2009). Illuminant Estimation by Voting.
  URL: https://opus4.kobv.de/opus4-fau/files/907/tr_illuminant_estimation_by_voting.pdf
• Riess, C., Jordan, J.M., & Angelopoulou, E. (2009). A Common Framework for Ambient Illumination in the Dichromatic Reflectance Model. In IEEE (Eds.), IEEE 12th International Conference on Computer Vision Workshops (pp. 1939-1946). Kyoto, JP.
  URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2009/Riess09-ACF.pdf

2008

• Riess, C., Fuchs, S., & Angelopoulou, E. (2008). Towards a Feature Set for Sensor Data Fusion.
  URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2008/Hornegger08-PRI.pdf#page=113

2007

• Danner, D., Kaufhold, C., Kranz, P., Müller, R., Pfaller, S., Riess, C., & Angelopoulou, E. (2007). FAUBOT: Purposeful Navigation of a Robot in a Simulated Environment. In 28th IEEE International Real-Time Systems Symposium (RTSS 2007). Tucson, AZ, US.
• Riess, C., & Wanka, R. (2007). Periodic Load Balancing on the N-Cycle: Analytical and Experimental Evaluation. In Proceedings of the 13th International Euro-Par Conference (pp. 805--814). Rennes, FR.
• Riess, C., & Wanka, R. (2007). Periodic Load Balancing on the N-Cycle: Analytical and Experimental Evaluation. In Kermarrec Anne-Marie, Bougé Luc, Priol Thierry (Eds.), Proc. 13th European Conference in Parallel Processing (Euro-Par) (pp. 790-799). Rennes, FR.
  URL: http://www12.informatik.uni-erlangen.de/people/rwanka/publications/pdf/RW07.pdf