Michel Crucianu

Michel Crucianu

Professeur des Universités
Team: Données Complexes, Apprentissage et Représentations
Personal website: http://cedric.cnam.fr/~crucianm/
Phone: +33 1 40 27 24 58
Office: 31.1.85

2024

Articles de conférence

  1. Doubinsky, P.; Audebert, N.; Crucianu, M. and Le Borgne, H. Semantic Generative Augmentations for Few-Shot Counting. In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Waikoloa, Hawaii, United States, 2024. www 

2023

Articles de conférence

  1. Doubinsky, P.; Audebert, N.; Crucianu, M. and Le Borgne, H. Wasserstein Loss for Semantic Editing in the Latent Space of GANs. In 20th International Conference on Content-based Multimedia Indexing, Orléans, France, 2023. www 
  1. Aissa, W.; Ferecatu, M. and Crucianu, M. Curriculum Learning for Compositional Visual Reasoning. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, pages 888-897, Scitepress, Lisbon, Portugal, 2023. doi  www 
  1. Aissa, W.; Ferecatu, M. and Crucianu, M. Multimodal Representations for Teacher-Guided Compositional Visual Reasoning. In Advanced Concepts for Intelligent Vision Systems, 21st International Conference (ACIVS 2023), pages 357-369, Springer Nature, Kumamoto, Japan, Lecture Notes in Computer Science 14124, 2023. doi  www 

2022

Articles de revue

  1. Doubinsky, P.; Audebert, N.; Crucianu, M. and Le Borgne, H. Multi-attribute balanced sampling for disentangled GAN controls. In Pattern Recognition Letters, 162: 56-62, 2022. doi  www 

Articles de conférence

  1. Zhou, S.; Blanchart, P.; Crucianu, M. and Ferecatu, M. Why is the prediction wrong? Towards underfitting case explanation via meta-classification. In 2022 IEEE 9th International Conference on Data Science and Advanced Analytics (DSAA), pages 10032332, IEEE, Shenzhen, China, 2022. doi  www 

2021

Chapitres d'ouvrage

  1. Le Cacheux, Y.; Le Borgne, H. and Crucianu, M. Zero-shot Learning with Deep Neural Networks for Object Recognition. In Multi-faceted Deep Learning: Models and Data, Springer, 2021. doi  www 

2020

Articles de revue

  1. Rambour, C.; Audebert, N.; Koeniguer, E.; Le Saux, B.; Crucianu, M. and Datcu, M. Flood detection in time series of optical and sar images. In ISPRS International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B2-2020: 1343-1346, 2020. doi  www 
  1. Besedin, A.; Blanchart, P.; Crucianu, M. and Ferecatu, M. Deep online classification using pseudo-generative models. In Computer Vision and Image Understanding, 201: 103048, 2020. doi  www 

Articles de conférence

  1. Le Cacheux, Y.; Le Borgne, H. and Crucianu, M. Using Sentences as Semantic Representations in Large Scale Zero-Shot Learning. In ECCV 2020 workshop Transferring and adapting source knowledge in computer vision (TASK-CV), Glasgow, United Kingdom, 2020. www 

2019

Chapitres d'ouvrage

  1. Le Cacheux, Y.; Le Borgne, H. and Crucianu, M. From Classical to Generalized Zero-Shot Learning: A Simple Adaptation Process. In MultiMedia Modeling. 25th International Conference, MMM 2019, Thessaloniki, Greece, January 8--11, 2019, Proceedings, Part II, pages 465-477, Springer Verlag, Lecture Notes in Computer Science 11296, 2019. doi  www 

Articles de conférence

  1. Le Cacheux, Y.; Le Borgne, H. and Crucianu, M. Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning. In IEEE International Conference on Computer Vision, IEEE, Séoul, South Korea, 2019. doi  www 

2018

Divers

  1. Besedin, A.; Blanchart, P.; Crucianu, M. and Ferecatu, M. Deep Online Storage-Free Learning on Unordered Image Streams. , Poster. doi  www 

2017

Chapitres d'ouvrage

  1. Yang, L.; Rodriguez, H.; Crucianu, M. and Ferecatu, M. Fully Convolutional Network with Superpixel Parsing for Fashion Web Image Segmentation. In MultiMedia Modeling - 23rd International Conference, MMM 2017, Reykjavik, Iceland, January 4-6, 2017, Proceedings, Part II, pages 139-151, Springer, Lecture Notes in Computer Science 10133, 2017. doi  www 

Articles de conférence

  1. Besedin, A.; Blanchart, P.; Crucianu, M. and Ferecatu, M. Evolutive deep models for online learning on data streams with no storage. In ECML/PKDD 2017 Workshop on Large-scale Learning from Data Streams in Evolving Environments, Skopje, Macedonia, 2017. www 

2016

Articles de revue

  1. Niang Keita, N.; Saporta, G.; Crucianu, M. and Rigaux, P. Le certificat `` Analyste de données massives '' du Conservatoire national des arts et métiers. In Statistique et Enseignement, 2016. www 

Chapitres d'ouvrage

  1. Yang, L.; Rodriguez, H.; Crucianu, M. and Ferecatu, M. A Global-Local Approach to Extracting Deformable Fashion Items from Web Images. In Advances in Multimedia Information Processing - PCM 2016, pages 1-12, Springer, Lecture Notes in Computer Science 10132, 2016. doi  www 

Articles de conférence

  1. Tran, T. Q. N.; Le Borgne, H. and Crucianu, M. Aggregating image and text quantized correlated components. In 2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, pages 2046-2054, IEEE Computer Society, Las Vegas, United States, 2016. doi  www 
  1. Yang, L.; Rodriguez, H.; Crucianu, M. and Ferecatu, M. Classification-driven Active Contour for Dress Segmentation. In International Conference on Computer Vision Theory and Applications, pages 22-29, SCITEPRESS - Science and and Technology Publications, Rome, France, International Conference on Computer Vision Theory and Applications (VISAPP) 2016 , 2016. doi  www 
  1. Tran, T. Q. N.; Le Borgne, H. and Crucianu, M. Cross-modal classification by completing unimodal representations. In iV&L-MM '16 Proceedings of the 2016 ACM workshop on Vision and Language Integration Meets Multimedia Fusion, pages 17-25, Association for Computing Machinery, Inc, Amsterdam, Netherlands, 2016. doi  www 

2015

Articles de revue

  1. Stoian, A.; Ferecatu, M.; Benois-Pineau, J. and Crucianu, M. Fast Action Localization in Large-Scale Video Archives. In IEEE Transactions on Circuits and Systems for Video Technology, 26 (10): 1917-1930, 2015. doi  www 

Articles de conférence

  1. Ram'irez, A.; Benois-Pineau, J.; Sara'i Garc'ia V'azquez, M.; Stoian, A.; Crucianu, M.; Nakano, M.; Garcia-Ugalde, F.; Rouas, J-L.; Nicolas, H. and Carrive, J. The Mex-Culture Multimedia platform: Preservation and dissemination of the Mexican Culture. In 2015 13th International Workshop on Content-Based Multimedia Indexing (CBMI), pages 1-6, IEEE, Prague, Czech Republic, Content-Based Multimedia Indexing (CBMI), 2015 13th International Workshop on , 2015. doi  www 
  1. Tran, T. Q. N.; Le Borgne, H. and Crucianu, M. Combining generic and specific information for cross-modal retrieval. In ICMR '15 Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, pages 551-554, Association for Computing Machinery, Inc, Shangai, China, 2015. doi  www 
  1. Stoian, A.; Ferecatu, M.; Benois-Pineau, J. and Crucianu, M. Scalable action localization with kernel-space hashing. In Image Processing (ICIP), 2015 IEEE International Conference on, pages 257-261, IEEE, Québec, Canada, Image Processing (ICIP), 2015 IEEE International Conference on , 2015. doi  www 

2014

Divers

  1. Stoian, A.; Ferecatu, M.; Benois-Pineau, J. and Crucianu, M. Fast Cascaded Action Localization In Video Using Frame Alignment. , Poster. www 

2013

Articles de conférence

  1. Filho, C. A. F.; Arajujo, A. de A.; Crucianu, M. and Gouet-Brunet, V. Sketch-Finder: Efficient and Effective Sketch-Based Retrieval for Large Image Collections. In 2013 XXVI SIBGRAPI - Conference on Graphics, Patterns and Images (SIBGRAPI), pages 234-241, IEEE, Arequipa, France, 2013. doi  www 

2012

Chapitres d'ouvrage

  1. Crucianu, M. Scalability issues in visual information retrieval. In J. Benois-Pineau, F. Precioso, M. Cord (eds) Visual indexing and retrieval: from features to decision schemes., pages 65-81, 2012. www 

Articles de conférence

  1. Ballas, N.; Labbé, B.; Shabou, A.; Le Borgne, H.; Gosselin, P-H.; Redi, M.; Merialdo, B.; Jégou, H.; Delhumeau, J.; Vieux, R.; Mansencal, B.; Benois-Pineau, J.; Ayache, S.; Hamadi, A.; Safadi, B.; Thollard, F.; Derbas, N.; Quénot, G.; Bredin, H.; Cord, M.; Gao, B.; Zhu, C.; Tang, Y.; Dellandrea, E.; Bichot, C-E.; Chen, L.; Benoit, A.; Lambert, P.; Strat, T.; Razik, J.; Paris, S.; Glotin, H.; Trung, T. N.; Petrovska-Delacrétaz, D.; Chollet, G.; Stoian, A. and Crucianu, M. IRIM at TRECVID 2012: Semantic Indexing and Instance Search. In TRECVID - TREC Video Retrieval Evaluation workshop, pages 12p., Gaithersburg, MD, United States, 2012. www 

2010

Articles de revue

  1. Poullot, S.; Buisson, O. and Crucianu, M. Scaling Content-Based Video Copy Detection to Very Large Databases. In Multimedia Tools and Applications, 47 (2): 279-306, 2010. doi  www 

Articles de conférence

  1. Ouertani, W.; Bonnet, P.; Crucianu, M.; Boujemaa, N. and Barthélémy, D. Iterative Search with Local Visual Features for Computer Assisted Plant Identification. In Tools for identifying biodiversity : progress and problems : proceedings of the international congress, pages 237-242, Universita di Trieste, Paris, France, 2010. www 
  1. Yu, Yi; Crucianu, M.; Oria, V. and Damiani, E. Combining Multi-Probe Histogram and Order-Statistics Based LSH for Scalable Audio Content Retrieval. In ACM Multimedia, pages 381-390, X, France, 2010. www 
  1. Ouertani, W.; Crucianu, M. and Boujemaa, N. Interactive Learning of Heterogeneous Visual Concepts with Local Features. In ACM Multimedia 2010 (short paper), pages 995-998, Florence, Italy, 2010. www 
  1. Crucianu, M. and Proscholdt, T. On Finding Complementary Clusterings. In ESANN 2010, European Symposium on Artificial Neural Networks, Bruges, Belgique, pages 487-492, X, France, 2010. www 

Rapports

  1. Crucianu, M. Kernel Approximation by Locality Sensitive Hashing with Application to Active Learning. Technical Report CEDRIC-10-1898, CEDRIC Lab/CNAM, 2010.

2009

Chapitres d'ouvrage

  1. Crucianu, M. Image retrieval and relevance feedback. In Encyclopedia of Database Systems, pages 1384-1389, 2009. www 

Articles de conférence

  1. Yu, Yi; Crucianu, M.; Oria, V. and Chen, L. Local Summarization and Multi-Level LSH for Retrieving Multi-Variant Audio Tracks. In MM'09: ACM Multimedia, Beijing, China, pages 341-350, X, France, 2009. www 
  1. Poullot, S.; Crucianu, M. and Satoh, S. Indexing Local Configurations of Features for Scalable Content-Based Video Copy Detection. In 1st Workshop on Large-Scale Multimedia Retrieval and Mining (LS-MMRM) in conjunction with ACM Multimedia 2009, Beijing, China, pages 43-50, X, France, 2009. www 

2008

Articles de revue

  1. Crucianu, M.; Tarel, J. P. and Ferecatu, M. An exploration of diversified user strategies for image retrieval with relevance feedback. In Journal of Visual Languages and Computing, 19 (6): pp 629-636, 2008. www 
  1. Crucianu, M.; Estevez, D.; Oria, V. and Tarel, J. P. Speeding up active relevance feedback with approximate kNN retrieval for hyperplane queries. In International Journal of Imaging Systems and Technology, 18 (2-3): pp 150-159, 2008. www 

Chapitres d'ouvrage

  1. Ferecatu, M.; Boujemaa, N. and Crucianu, M. Interactive image retrieval using a hybrid visual and conceptual content representation. In Multimodal Processing and Interaction, pages 1-20, 2008. www 

Articles de conférence

  1. Poullot, S.; Crucianu, M. and Buisson, O. Fast Content-Based Mining of Web2.0 Videos. In Pacific-Rim Conference on Multimedia, pages 99-108, X, France, 2008. www 
  1. Poullot, S.; Crucianu, M. and Buisson, O. Scalable Mining of Large Video Databases Using Copy Detection. In ACM Multimedia, pages 61-70, X, France, 2008. www 
  1. Boisson, F. c.; Crucianu, M. and Vodislav, D. Content-Based Search in Distributed Multimedia Databases: Addressing Heterogeneity and Provider-Side Privacy. In CHORUS P2P Workshop 1P2P4mm (colocated with InfoScale 2008), Vico Equense, Italy, X, France, 2008. www 
  1. Poullot, S.; Crucianu, M. and Buisson, O. Passage `a l'échelle de la fouille vidéo basée sur la détection de copies. In BDA'08 : 23?mes Journ?es Bases de Donn?es Avanc?es, Guilherand-Granges, pages 45-60, X, France, 2008. www 

Rapports

  1. Boisson, F. c.; Crucianu, M. and Vodislav, D. Publication Framework for Content-Based Search in Heterogeneous Distributed Multimedia Databases. Technical Report CEDRIC-08-1585, CEDRIC Lab/CNAM, 2008.

2007

Articles de conférence

  1. Crucianu, M.; Estevez, D.; Oria, V. and Tarel, J-P. Recherche approximative des kppv pour des requêtes hyperplans, avec application au contr^ole de pertinence actif. In BDA'07 : 23?mes Journ?es Bases de Donn?es Avanc?es, Marseille, pages 75-88, X, France, 2007. www 
  1. Crucianu, M.; Estevez, D.; Oria, V. and Tarel, J. P. Hyperplane queries in a feature-space M-tree for speeding up active learning. In 23èmes Journées Bases de Données Avancées (BDA'07), pages 12p, Marseille, France, 2007. www 
  1. Poullot, S.; Buisson, O. and Crucianu, M. Z-grid-based Probabilistic Retrieval for Scaling Up Content-Based Copy Detection. In ACM Int. Conf. on Image and Video Retrieval, Amsterdam, pages 348-355, X, France, 2007. www 

2005

Rapports

  1. Ferecatu, M.; Crucianu, M. and Boujemaa, N. Active SVM-based Relevance Feedback with Hybrid Visual and representation. Technical Report RR-5558, INRIA, 2005.

2004

Rapports

  1. Ferecatu, M.; Crucianu, M. and Boujemaa, N. Reducing the Redundancy in the Selection of Samples for SVM-based Relevance Feedback. Technical Report RR-5258, INRIA, 2004.

2001

Articles de revue

  1. Crucianu, M.; Verley, G.; Asselin de Beauville, J-P. and Boné, R. Un outil pour la comparaison et la validation d'algorithmes d'apprentissage `a partir de données. In La revue MODULAD (26): 55-70, 2001. www 

2000

Articles de revue

  1. Boné, R.; Crucianu, M.; Verley, G. and Asselin de Beauville, J-P. A bounded exploration approach to constructive algorithms for recurrent neural networks. In Neural Networks, IEEE - INNS - ENNS International Joint Conference on, 2000. www 
Top