[83] Anh-Kiet Duong and Petra Gomez-Krämer. Addressing out-of-label hazard detection in dashcam videos: Insights from the COOOL challenge. In Workshop on Out-of-Label Hazards in Autonomous Driving, 2025.
[82] Anh-Kiet Duong and Petra Gomez-Krämer. Scalable framework for classifying AI-generated content across modalities. In Workshop on Out-of-Label Hazards in Autonomous Driving, page Defactity Workshop on Multimodal Fact Checking and Hate Speech Detection, 2025.
[81] Marie-Claire Iatrides, Petra Gomez-Krämer, Olfa Ben Ahmed, and Sylvain Marchand. Towards resource-efficient deep learning for train scene semantic segmentation. In International Conference on Computer Vision Theory and Applications, 2025.
[80] Anh-Kiet Duong and Petra Gomez-Krämer. Action recognition using temporal shift module and ensemble learning. In Workshop on Multi-Modal Visual Pattern Recognition, 2024.
[79] K. Rouis, P. Gomez-Krämer, M. Coustaty, S. Kébairi, and V. d'Andecy. Deep discriminative feature learning for document image manipulation detection. In International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, pages 567--574, 2024.
[78] Shahbe Mat-Desa, Wan-Noorshahida Mohd-Isa, Petra Gomez-Krämer, M. Roslee, Noramiza Hashim, Junaidi Abdullah, Aziah Ali, Zarina Che-Embi, and Amalina Ibrahim. Towards no shadow: Region-based shadow compensation on low-altitude urban aerial images. In International Conference on Signal and Image Processing Applications, pages 1--6. IEEE, 2024.
[77] P. Gomez-Krämer, K. Rouis, A.O. Diallo, and M. Coustaty. Printed and scanned document authentication using robust layout descriptor matching. Multimedia Tools and Applications, 83:47477--47502, 2024.
[76] Musab Al-Ghadi, Tanmoy Mondal, Zuheng Ming, Petra Gomez-Krämer, Mickaël Coustaty, Nicolas Sidere, and Jean-Christophe Burie. Identifying fraudulent identity documents by analyzing imprinted guilloche patterns. Multimedia Tools and Applications, 83:79145--79192, 2024.
[75] Florian Lardeux, Petra Gomez-Krämer, and Syvlain Marchand. Low-complexity arrays of patch signature for efficient ancient coin retrieval. Pattern Analysis and Applications, 27(70), 2024.
[74] Beatriz Martínez Tornés, Emanuela Boros, Petra Gomez-Krämer, Antoine Doucet, and Jean-Marc Ogier. Détection de faux tickets de caisse à l'aide d'entités et de relations basées sur une ontologie de domaine. In Conférence sur le Traitement Automatique des Langues Naturelles, 2023.
[73] Beatriz Martínez Tornés, Théo Taburet, Emanuela Boros, Kais Rouis, Petra Gomez-Krämer, Antoine Doucet, Nicolas Sidere, and Vincent Poulain D'Andecy. Jeu de données de tickets de caisse pour la détection de fraude documentaire. In Conférence sur le Traitement Automatique des Langues Naturelles, 2023.
[72] Musab Al-Ghadi, Zuheng Ming, Petra Gomez-Krämer, Jean-Christophe Burie, Mickaël Coustaty, and Nicolas Sidère. Guilloche detection for ID authentication: A dataset and baselines. In International Workshop on Multimedia Signal Processing, 2023.
[71] Beatriz Martínez Tornés, Théo Taburet, Emanuela Boros, Kais Rouis, Antoine Doucet, Petra Gomez-Krämer, Nicolas Sidere, and Vincent Poulain D'Andecy. Receipt dataset for document forgery detection. In International Conference on Document Analysis and Recognition, volume 14189 of Lecture Notes in Computer Science, pages 454--469, 2023.
[70] Beatriz Martínez Tornés, Emanuela Boros, Antoine Doucet, Petra Gomez-Krämer, and Jean-Marc Ogier. Detecting forged receipts with domain-specific ontology-based entities & relations. In International Conference on Document Analysis and Recognition, volume 14189 of Lecture Notes in Computer Science, pages 184--199, 2023.
[69] Sylvain Marchand, Petra Gomez-Krämer, and Florian Lardeux. Energy and Orientation Maps for Interactive Visualization and Retrieval of Ancient Coins. In International Conference on Content-Based Multimedia Indexing, 2023.
[68] T. Taburet, K. Rouis, M. Coustaty, P. Gomez-Krämer, N. Sidère, S. Kébairi, and V. Poulain d'Andecy. Document forgery detection using double JPEG compression. In Workshop on Artificial Intelligence for Multimedia Forensics and Disinformation Detection, 2022.
[67] P. Gomez-Krämer. Verifying document integrity, volume 2, pages 59--89. Wiley-ISTE, 2022.
[66] M. Q. Al-Ghadi, T. Azzouza, P. Gomez-Krämer, J.-C. Burie, and M. Coustaty. Robust hashing for character authentication and retrieval using deep features and iterative quantization. In International Conference on Document Analysis and Recognition Workshops, volume 12916 of Lecture Notes in Computer Science, pages 466--481, 2021.
[65] P. Gomez-Krämer. Vérification de l'intégrité des documents, volume 2, pages 71--103. ISTE Editions, 2021.
[64] Musab Al-Ghadi, Petra Gomez-Krämer, and Jean-Christophe Burie. Checkscan: A reference hashing for identity document quality detection. In International Conference on Machine Vision, 2021.
[63] Florian Lardeux, Sylvain Marchand, and Petra Gomez-Krämer. Low-complexity arrays of contour signatures for exact shape retrieval. Pattern Recognition, 118:108000, 2021.
[62] T. Mondal, M. Coustaty, P. Gomez-Krämer, and J.M. Ogier. Background removal of French university diplomas. In International Workshop on Document Analysis Systems, pages 182--196, 2020.
[61] K. Rouis, P. Gomez-Krämer, and M. Coustaty. Local geometry analysis for image tampering detection. In International Conference on Image Processing, pages 2551--2555, 2020.
[60] J. Murphy, G. Howells, K.D. McDonald-Maier, S. Ghadfi, G. Falquet, K. Rouis, S. Aroua, N. Tamani, M. Coustaty, P. Gomez-Krämer, and Y. Ghamri-Doudane. A framework for security and privacy for the internet of things (SPIRIT). In Security and Privacy in the Internet of Things: Challenges and Solutions, volume 27 of Ambient Intelligence and Smart Environments, pages 129--147. IOS Press, 2019.
[59] S. Aroua, J. Murphy, M. Rabah, K. Rouis, N. Sidère, N. Tamani, R. Champagnat, M. Coustaty, G. Falquet, S. Ghadfi, Y. Ghamri-Doudane, P. Gomez-Krämer, G. Howells, and K. D. McDonald-Maier. Security and privacy for the internet of things: an overview of the project. In International Conference on Systems, Man and Cybernetics, pages 3993--3998, 2019.
[58] T. Mondal, C. Coustaty, P. Gomez-Krämer, and J.M. Ogier. Learning free document image binarization based on fast fuzzy c-means clustering. In International Conference on Document Analysis and Recognition, 2019.
[57] Beatriz Martínez Tornés, Emanuela Boros, Antoine Doucet, Petra Gomez-Krämer, Jean-Marc Ogier, and Vincent Poulain d'Andecy. Knowledge-based techniques for document fraud detection: A comprehensive study. In Computational Linguistics and Intelligent Text Processing, volume 13451 of Lecture Notes in Computer Science, pages 17--33, 2019.
[56] F. Lardeux, S. Marchand, and P. Gomez-Krämer. Multi-light energy map. In Eurographics Workshop on Graphics and Cultural Heritage, 2018.
[55] S. Eskenazi, P. Gomez-Krämer, and J.-M. Ogier. Watercolor, segmenting images using connected color components. In International Conference on Pattern Recognition, pages 3633--3638, 2018.
[54] J. Chazalon, P. Gomez-Krämer, J.C. Burie, M. Coustaty, S. Eskenazi, M. Luqman, N. Nayef, M. Rusiñol, N. Sidère, and J.M. Ogier. SmartDoc 2017 video capture: Mobile document acquisition in video mode. In International Conference on Document Analysis and Recognition, volume 04, pages 11--16, 2017.
[53] I. Tkachenko and P. Gomez-Krämer. Robustness of character recognition techniques to double print-and-scan process. In International Conference on Document Analysis and Recognition, volume 09, pages 27--32, 2017.
[52] S. Eskenazi, P. Gomez-Krämer, and J.M. Ogier. A study of the factors influencing OCR stability for hybrid security. In International Conference on Document Analysis and Recognition, volume 09, pages 3--8, 2017.
[51] S. Eskenazi, B. Bodin, P. Gomez-Krämer, and J.-M. Ogier. A perceptual image hashing algorithm for hybrid document security. In International Conference on Document Analysis and Recognition, pages 741--746, 2017.
[50] S. Eskenazi, P. Gomez-Krämer, and J.-M. Ogier. A comprehensive survey of mostly textual document segmentation algorithms since 2008. Pattern Recognition, 64:1--14, 2017.
[49] M. Mehri, P. Héroux, P. Gomez-Krämer, and R. Mullot. Texture feature benchmarking and evaluation for historical document image analysis. International Journal on Document Analysis and Recognition, 20(1):1--35, 2017.
[48] M. Mehri, P. Héroux, M. Coustaty, P. Gomez-Krämer, J. Lerouge, and R. Mullot. Reconnaissance et classification de lettrines à base des descripteurs de bas niveau et de représentation structurelle. In Colloque International Francophone sur l'Ecrit et le Document, pages 465--480, 2016.
[47] S. Eskenazi, P. Gomez-Krämer, and J.-M. Ogier. Evaluation of the stability of four document segmentation algorithms. In International Workshop on Document Analysis Systems, pages 215--220, 2016.
[46] G. Chiron, P. Gomez-Krämer, and M. Ménard. Modélisation comportementale selon différentes échelles temporelles pour des trajectoires issues de scènes encombrées. Revue d'Intelligence Artificielle, 29(2):173--204, 2015.
[45] S. Eskenazi, P. Gomez-Krämer, and J.-M. Ogier. When document security brings new challenges to document analysis. In International Workshop on Computational Forensics, volume 8915 of Lecture Notes in Computer Science, pages 104--116, 2015.
[44] M. Mehri, N. Nayef, P. Héroux, P. Gomez-Krämer, and R. Mullot. A learning texture-based method for enhancement and segmentation of historical document images. In Workshop on Historical Document Imaging and Processing, pages 47--54, 2015.
[43] M. Mehri, N. Sliti, P. Héroux, P. Gomez-Krämer, N. Essoukri Ben Amara, and R. Mullot. Use of SLIC superpixels for ancient document image enhancement and segmentation. In Document Recognition and Retrieval XX, volume 9402, page 940205, 2015.
[42] M. Mehri, P. Héroux, N. Sliti, P. Gomez-Krämer, N. Essoukri Ben Amara, and R. Mullot. Extraction of homogeneous regions in historical document images. In International Conference on Computer Vision Theory and Applications, volume 3, pages 47--54, 2015.
[41] S. Eskenazi, P. Gomez-Krämer, and J.-M. Ogier. Let's be done with thresholds. In International Conference on Document Analysis and Recognition, pages 851--855, 2015.
[40] M. Mehri, P. Héroux, J. Lerouge, P. Gomez-Krämer, and R. Mullot. A structural signature based on texture for digitized historical book page categorization. In International Conference on Document Analysis and Recognition, pages 116--120, 2015.
[39] M. Mehri, P. Gomez-Krämer, P. Héroux, M. Coustaty, J. Lerouge, and R. Mullot. A bottom-up method using texture features and a graph-based representation for lettrine recognition and classification. In International Conference on Document Analysis and Recognition, pages 226--230, 2015.
[38] R. Bertrand, O. Ramos Terrades, P. Gomez-Krämer, P. Franco, and J.-M. Ogier. A conditional random field model for font forgery detection. In International Conference on Document Analysis and Recognition, pages 576--580, 2015.
[37] S. Eskenazi, P. Gomez-Krämer, and J.-M. Ogier. The Delaunay document layout descriptor. In ACM International Symposium on Document Engineering, pages 167--175, 2015.
[36] M. Mehri, P. Gomez-Krämer, P. Héroux, A. Boucher, and R. Mullot. A texture-based pixel labeling approach for historical books. Pattern Analysis and Applications, 20(2):325--364, 2015.
[35] M. Mehri, V.C. Kieu, M. Mhiri, P. Héroux, P. Gomez-Krämer, M.A. Mahjoub, and R. Mullot. Evaluation de la robustesse des descripteurs de texture pour la segmentation d'images de documents anciens. In Colloque International Francophone sur l'Ecrit et le Document, pages 25--40, 2014.
[34] M. Mehri, M. Mhiri, P. Gomez-Krämer, P. Héroux, M.A. Mahjoub, and R. Mullot. Etude comparative de trois ensembles de descripteurs de texture pour la segmentation de documents anciens. In Colloque International Francophone sur l'Ecrit et le Document, pages 41--56, 2014.
[33] G. Chiron, P. Gomez-Krämer, and M. Ménard. Approche bayesienne non-paramétrique pour la découverte de comportements émergent à partir de trajectoires. In Congrès National sur la Reconnaissance de Formes et l'Intelligence d'Artificielle, 2014.
[32] M. Mehri, V.C. Kieu, M. Mhiri, P. Héroux, P. Gomez-Krämer, M.A. Mahjoub, and R. Mullot. Robustness assessment of texture features for the segmentation of ancient documents. In International Workshop on Document Analysis Systems, pages 293--297, 2014.
[31] N. Nayef, J. Chazalon, P. Gomez-Krämer, and J.-M. Ogier. Efficient example-based super-resolution of single text images based on selective patch processing. In International Workshop on Document Analysis Systems, pages 227--231, 2014.
[30] G. Chiron, P. Gomez-Krämer, and M. Ménard. 3D tracking based on possibilities rather than probabilities. application to flying honeybees at the beehive entrance. In Workshop on Visual observation and analysis of Vertebrate And Insect Behavior, pages 10--19, 2014.
[29] M. Mehri, P. Gomez-Krämer, P. Héroux, A. Boucher, and R. Mullot. A pixel labeling framework for comparing texture features: Application to digitized ancient books. In International Conference on Pattern Recognition Applications and Methods, pages 553--560, 2014.
[28] M. Mehri, M. Mhiri, P. Héroux, P. Gomez-Krämer, M.A. Mahjoub, and R. Mullot. Performance evaluation and benchmarking of six texture-based feature sets for segmenting historical documents. In International Conference on Pattern Recognition, pages 2885--2890, 2014.
[27] G. Chiron, P. Gomez-Krämer, and M. Ménard. Discovering emergent behaviors from tracks using hierarchical non-parametric bayesian methods. In International Conference on Pattern Recognition, pages 2185--2190, 2014.
[26] N. Nayef, P. Gomez-Krämer, and J.-M. Ogier. Deblurring of document images based on sparse representations enhanced by non-local means. In International Conference on Pattern Recognition, pages 4441--4446, 2014.
[25] G. Chiron, P. Gomez-Krämer, and M. Ménard. Outdoor 3D acquisition system for small and fast targets. Application to honeybee monitoring at the beehive entrance. In GEODIFF Workshop, pages 10--19, 2013.
[24] M. Mehri, P. Gomez-Krämer, P. Héroux, A. Boucher, and R. Mullot. Texture feature evaluation for segmentation of historical document images. In Workshop on Historical Document Imaging and Processing, pages 102--109, 2013.
[23] M.M. Luqman, P. Gomez-Krämer, and J.-M. Ogier. Mobile phone camera-based video scanning of paper documents. In Workshop on Camera-Based Document Analysis and Recognition, volume 8357 of Lecture Notes in Computer Science, pages 164--178, 2013.
[22] M. Mehri, P. Gomez-Krämer, P. Héroux, and R. Mullot. Old document image segmentation using the autocorrelation function and multiresolution analysis. In Document Recognition and Retrieval XX, volume 8658, page 86580K, 2013.
[21] M. Mehri, P. Héroux, P. Gomez-Krämer, A. Boucher, and R. Mullot. A pixel labeling approach for historical digitized books. In International Conference on Document Analysis and Recognition, pages 817--821, 2013.
[20] R. Bertrand, P. Gomez-Krämer, O. Ramos Terrades, P. Franco, and J.-M. Ogier. A system based on intrinsic features for fraudulent document detection. In International Conference on Document Analysis and Recognition, pages 106--110, 2013.
[19] G. Chiron, P. Gomez-Krämer, M. Ménard, and F. Requier. 3D tracking of honeybees enhanced by environmental context. In International Conference on Image Analysis and Processing, Lecture Notes in Computer Science (LNCS 8156), pages 702--711. Springer, 2013.
[18] Guillaume Chiron, Petra Gomez-Krämer, and Michel Ménard. Detecting and tracking honeybees in 3D at the beehive entrance by stereo vision. EURASIP Journal on Image and Video Processing, 59, 2013.
[17] B. Poirot, V. Nevers, P. Gomez-Krämer, M. Ménard, D. Crauser, and Y. Le Conte. Utilisation d'un compteur d'abeilles par vidéosurveillance pour le suivi à distance de la mortalité au sein des colonnies. In Journée Scientifique Apicole, 2012.
[16] C. Guérin, P. Gomez-Krämer, M. Ménard, and D. Coisne. Vortex tracking in high density vector fields. In International Conference on Image Analysis and Recognition, volume I of Lecture Notes in Computer Science (LNCS 7324), pages 192--199. Springer, 2012.
[15] Petra Krämer, Jenny Benois-Pineau, and Jean-Philippe Domenger. Local object-based super-resolution mosaicing from low-resolution video. Signal Processing, 91(8):1771--1780, 2011.
[14] P. Krämer, F. Boto, D. Wald, F. Bessy, C. Paloc, C. Callol, A. Letamendia, I. Ibarbia, O. Holgado, and J.M. Virto. Automatic segmentation of embryonic heart in time-lapse fluorescence microscopy image. In International Conference on Bio-inspired Systems and Signal Processing, pages 121--126, 2010.
[13] I. García, G. Marcos, P. Krämer, and J. Flórez. Architecture for semi-automatic multimedia analysis by hypothesis reinforcement. In International Symposium on Broadband Multimedia Systems and Broadcasting, 2009.
[12] P. Krämer, F. Boto, D. Wald, F. Bessy, C. Paloc, C. Callol, A. Letamendia, I. Ibarbia, O. Holgado, and J.M. Virto. Comparison of segmentation algorithms for the zebrafish heart in fluorescent microscopy images. In International Symposium on Advances in Visual Computing, volume II of Lecture Notes in Computer Science (LNCS 5876), pages 1041--1050. Springer, 2009.
[11] G. Marcos, P. Krämer, A. Illarramendi, I. García, and J. Flórez. Semantic middleware to enhance multimedia retrieval in a broadcaster. In International Conference on Semantic and Digital Media Technologies, pages 74--88, 2008.
[10] P. Krämer. Super-resolution mosaicing from low-resolution video. Application to video summarisation and error concealment. PhD thesis, Université Bordeaux 1, 2007.
[9] Petra Krämer, Ofer Hadar, Jenny Benois-Pineau, and Jean-Philippe Domenger. Super-resolution mosaicing from MPEG compressed video. Signal Processing: Image Communication, 22(10):845--865, 2007.
[8] J. Ćalić, P. Krämer, U. Naci, S. Vrochidis, S. Aksoy, Q. Zhang, J. Benois-Pineau, A. Saracoglu, C. Doulaverakis, R. Jarina, N. Campbell, V. Merzaris, I. Kompatsiaris, E. Spyrou, G. Koumoulos, Y. Avrithis, A. Dalkilic, A. Alatan, A. Hanjalic, and E. Izquierdo. COST292 experimental framework for TRECVID 2006. In TREC Video Retrieval Evaluation Online Proceedings, 2006.
[7] P. Krämer, J. Benois-Pineau, and M. Gràcia Pla. Indexing camera motion integrating knowledge of quality of the encoded video. In International Conference on Semantic and Digital Media Technologies, Posters and Demos, 2006.
[6] P. Krämer, O. Hadar, J. Benois-Pineau, and J.-P. Domenger. Use of motion information in super-resolution mosaicing. In International Conference on Image Processing, pages 357--360, 2006.
[5] Petra Krämer, Jenny Benois-Pineau, and Jean-Philippe Domenger. Scene similarity measure for video content segmentation in the framework of rough indexing paradigm. International Journal of Intelligent Systems, 21(7):765--783, 2006.
[4] P. Krämer and J. Benois-Pineau. Camera motion detection in the rough indexing paradigm. In TREC Video Retrieval Evaluation Online Proceedings, 2005.
[3] P. Krämer, O. Hadar, J. Benois-Pineau, and J.-P. Domenger. Super-resolution mosaicing from MPEG compressed video. In International Conference on Image Processing, volume 1, pages 893--896, 2005.
[2] P. Krämer, J. Benois-Pineau, and J.-P. Domenger. Scene similarity measure for video content segmentation in the framework of rough indexing paradigm. In International Workshop on Adaptive Multimedia Retrieval, pages 141--155, 2004.
[1] L. Primaux, J. Benois-Pineau, P. Krämer, and J.-P. Domenger. Shot boundary detection in the framework of rough indexing paradigm. In TREC Video Retrieval Evaluation Online Proceedings, 2004.

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