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
• Maier, A., & Rieß, C. (2024). Reliable Out-of-Distribution Recognition of Synthetic Images. Journal of Imaging, 10(5). https://doi.org/10.3390/jimaging10050110
• Moussa, D., Bergmann, S., & Rieß, C. (2024). Unmasking Neural Codecs: Forensic Identification of AI-compressed Speech. In ISCA (Eds.), Proc. Interspeech 2024 (pp. 2260-2264). Kos, GR.
  URL: https://www.isca-archive.org/interspeech_2024/moussa24_interspeech.html#
• Rieß, C. (2024). Dreams and Drama of Applied Image Forensics. In IH MMSec 2024 - Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security (pp. 3-4). Baiona, ESP: Association for Computing Machinery, Inc.
• Rodriguez Salas, D., Rieß, C., Martín Vicario, C., Taubmann, O., Ditt, H., Schwab, S., & Dörfler, A. (2024). Analysing Variables for 90-Day Functional-Outcome Prediction of Endovascular Thrombectomy. In Moi Hoon Yap, Connah Kendrick, Ardhendu Behera, Timothy Cootes, Reyer Zwiggelaar (Eds.), Medical Image Understanding and Analysis. 28th Annual Conference, MIUA 2024, Manchester, UK, July 24–26, 2024, Proceedings, Part II (pp. 202–215). Manchester, GB: Cham: Springer.
• Uhlenbrock, L., Cozzolino, D., Moussa, D., Verdoliva, L., & Riess, C. (2024). Did You Note My Palette? Unveiling Synthetic Images Through Color Statistics. In Association for Computing Machinery (Eds.), Proceedings of the 2024 ACM Workshop on Information Hiding and Multimedia Security (pp. 47-52). Baiona, ES: Association for Computing Machinery, Inc.
• Uhlenbrock, L., Moussa, D., Simmler, M., Canova, G., & Rieß, C. (2024). Synthetische Bilddaten vor Gericht. Datenschutz und Datensicherheit.

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://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://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://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://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://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

• Chaudhari, P., Schirrmacher, F., Maier, A., Riess, C., & Köhler, T. (2021). Merging-ISP: Multi-Exposure High Dynamic Range Image Signal Processing. In Proceedings of the DAGM German Conference on Pattern Recognition. virtual.
• 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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://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://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