Christian Riess

2025

• Moussa, D., Hirsch, G., & Rieß, C. (2025). EnvId: A Metric Learning Approach for Forensic Few-Shot Identification of Unseen Environments. IEEE Transactions on Information Forensics and Security, 20, 2281-2296. https://doi.org/10.1109/TIFS.2025.3541534
  URL: https://arxiv.org/pdf/2405.02119
• Uhlenbrock, L., Bergmann, S., & Riess, C. (2025). Latent Landscapes: Topology of the CLIP Feature Space for Synthetic Image Detection. In Proceedings of the European Signal Processing Conference (EUSIPCO). Isola Delle Femmine, Sizilien, IT.

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
• Moussa, D., Huber, L., Hirsch, G., & Rieß, C. (2024). Now ForReal: Towards Practical Forensic Room Identification with Real-World Audio Data. In Proceedings - 16th IEEE International Workshop on Information Forensics and Security, WIFS 2024. Rome, IT: Institute of Electrical and Electronics Engineers Inc..
  URL: https://faui1-files.cs.fau.de/public/publications/mmsec/2024-Moussa-WIFS.pdf
• 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.

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
• 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
• 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.
• 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).
• 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
• 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

• 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.
• 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.
• 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., 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

• 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
• 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.
• 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

2018

• 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.
• 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

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
• 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., 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/
• 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
• 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
• 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

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., 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).

2014

• 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

2013

• 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
• 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
• 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

• 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/
• 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.

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., 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

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