Michel Crucianu

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 27

Top Topics

Semantic Representations

Adaptation Process

Top Venues

IEEE Trans. Circuits Syst. Video Technol.

Publications

Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne
Semantic Generative Augmentations for Few-Shot Counting. WACV (2024)
Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne
Wasserstein Loss for Semantic Editing in the Latent Space of GANs. CoRR (2023)
Wafa Aissa, Marin Ferecatu, Michel Crucianu
Multimodal Representations for Teacher-Guided Compositional Visual Reasoning. ACIVS (2023)
Wafa Aissa, Marin Ferecatu, Michel Crucianu
Multimodal Representations for Teacher-Guided Compositional Visual Reasoning. CoRR (2023)
Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne
Semantic Generative Augmentations for Few-Shot Counting. CoRR (2023)
Sheng Zhou, Pierre Blanchart, Michel Crucianu, Marin Ferecatu
Why is the prediction wrong? Towards underfitting case explanation via meta-classification. CoRR (2023)
Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne
Wasserstein loss for Semantic Editing in the Latent Space of GANs. CBMI (2023)
Wafa Aissa, Marin Ferecatu, Michel Crucianu
Curriculum Learning for Compositional Visual Reasoning. CoRR (2023)
Wafa Aissa, Marin Ferecatu, Michel Crucianu
Curriculum Learning for Compositional Visual Reasoning. VISIGRAPP (5: VISAPP) (2023)
Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne
Multi-attribute balanced sampling for disentangled GAN controls. Pattern Recognit. Lett. 162 (2022)
Sheng Zhou, Pierre Blanchart, Michel Crucianu, Marin Ferecatu
Why is the prediction wrong? Towards underfitting case explanation via meta-classification. DSAA (2022)
Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu
Zero-shot Learning with Deep Neural Networks for Object Recognition. CoRR (2021)
Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne
Multi-Attribute Balanced Sampling for Disentangled GAN Controls. CoRR (2021)
Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu
Using Sentences as Semantic Representations in Large Scale Zero-Shot Learning. ECCV Workshops (1) (2020)
Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu
Using Sentences as Semantic Representations in Large Scale Zero-Shot Learning. CoRR (2020)
Andrey Besedin, Pierre Blanchart, Michel Crucianu, Marin Ferecatu
Deep online classification using pseudo-generative models. Comput. Vis. Image Underst. 201 (2020)
Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu
From Classical to Generalized Zero-Shot Learning: A Simple Adaptation Process. MMM (2) (2019)
Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu
Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning. ICCV (2019)
Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu
From Classical to Generalized Zero-Shot Learning: a Simple Adaptation Process. CoRR (2018)
Andrey Besedin, Pierre Blanchart, Michel Crucianu, Marin Ferecatu
Deep Online Storage-Free Learning on Unordered Image Streams. DMLE/IOTSTREAMING@PKDD/ECML (2018)
Andrey Besedin, Pierre Blanchart, Michel Crucianu, Marin Ferecatu
Evolutive Deep Models for Online Learning on Datastreams with no Storage. IOTSTREAMING@PKDD/ECML (2017)
Lixuan Yang, Helena Rodriguez, Michel Crucianu, Marin Ferecatu
Fully Convolutional Network with Superpixel Parsing for Fashion Web Image Segmentation. MMM (1) (2017)
Lixuan Yang, Helena Rodriguez, Michel Crucianu, Marin Ferecatu
Classification-driven Active Contour for Dress Segmentation. VISIGRAPP (4: VISAPP) (2016)
Lixuan Yang, Helena Rodriguez, Michel Crucianu, Marin Ferecatu
A Global-Local Approach to Extracting Deformable Fashion Items from Web Images. PCM (2) (2016)
Thi Quynh Nhi Tran, Hervé Le Borgne, Michel Crucianu
Aggregating Image and Text Quantized Correlated Components. CVPR (2016)
Andrei Stoian, Marin Ferecatu, Jenny Benois-Pineau, Michel Crucianu
Fast Action Localization in Large-Scale Video Archives. IEEE Trans. Circuits Syst. Video Technol. 26 (10) (2016)
Thi Quynh Nhi Tran, Hervé Le Borgne, Michel Crucianu
Cross-modal Classification by Completing Unimodal Representations. iV&L-MM@MM (2016)
Andrei Stoian, Marin Ferecatu, Jenny Benois-Pineau, Michel Crucianu
Scalable action localization with kernel-space hashing. ICIP (2015)
Thi Quynh Nhi Tran, Hervé Le Borgne, Michel Crucianu
Combining Generic and Specific Information for Cross-modal Retrieval. ICMR (2015)
Alejandro Ramírez, Jenny Benois-Pineau, Mireya S. García-Vázquez, Andrei Stoian, Michel Crucianu, Mariko Nakano, Francisco J. García-Ugalde, Jean-Luc Rouas, Henri Nicolas, Jean Carrive
The Mex-Culture Multimedia platform: Preservation and dissemination of the Mexican Culture. CBMI (2015)
Carlos A. F. Pimentel Filho, Arnaldo de Albuquerque Araújo, Michel Crucianu, Valérie Gouet-Brunet
Sketch-Finder: Efficient and Effective Sketch-Based Retrieval for Large Image Collections. SIBGRAPI (2013)
Nicolas Ballas, Benjamin Labbé, Aymen Shabou, Hervé Le Borgne, Philippe Gosselin, Miriam Redi, Bernard Mérialdo, Hervé Jégou, Jonathan Delhumeau, Rémi Vieux, Boris Mansencal, Jenny Benois-Pineau, Stéphane Ayache, Abdelkader Hamadi, Bahjat Safadi, Franck Thollard, Nadia Derbas, Georges Quénot, Hervé Bredin, Matthieu Cord, Boyang Gao, Chao Zhu, Yuxing Tang, Emmanuel Dellandréa, Charles-Edmond Bichot, Liming Chen, Alexandre Benoît, Patrick Lambert, Sabin Tiberius Strat, Joseph Razik, Sébastion Paris, Hervé Glotin, Tran Ngoc Trung, Dijana Petrovska, Gérard Chollet, Andrei Stoian, Michel Crucianu
IRIM at TRECVID 2012 : Semantic Indexing and Instance Search. TRECVID (2012)
Wajih Ouertani, Michel Crucianu, Nozha Boujemaa
Interactive learning of heterogeneous visual concepts with local features. ACM Multimedia (2010)
Yi Yu, Michel Crucianu, Vincent Oria, Ernesto Damiani
Combining multi-probe histogram and order-statistics based LSH for scalable audio content retrieval. ACM Multimedia (2010)
Timo Pröscholdt, Michel Crucianu
On Finding Complementary Clusterings. ESANN (2010)
Sébastien Poullot, Olivier Buisson, Michel Crucianu
Scaling content-based video copy detection to very large databases. Multim. Tools Appl. 47 (2) (2010)
Yi Yu, Michel Crucianu, Vincent Oria, Lei Chen
Local summarization and multi-level LSH for retrieving multi-variant audio tracks. ACM Multimedia (2009)
Duy-Dinh Le, Sébastien Poullot, Xiaomeng Wu, Michael Nett, Michael E. Houle, Shinichi Satoh, Michel Crucianu
National Institute of Informatics, Japan at TRECVID 2009. TRECVID (2009)
Sébastien Poullot, Michel Crucianu, Shin'ichi Satoh
Indexing local configurations of features for scalable content-based video copy detection. LS-MMRM@ACM Multimedia (2009)
Sébastien Poullot, Michel Crucianu, Olivier Buisson
Scalable mining of large video databases using copy detection. ACM Multimedia (2008)
Michel Crucianu, Daniel Estevez, Vincent Oria, Jean-Philippe Tarel
NN retrieval for hyperplane queries. Int. J. Imaging Syst. Technol. 18 (2-3) (2008)
Nizar Grira, Michel Crucianu, Nozha Boujemaa
Active semi-supervised fuzzy clustering. Pattern Recognit. 41 (5) (2008)
Michel Crucianu, Jean-Philippe Tarel, Marin Ferecatu
An exploration of diversified user strategies for image retrieval with relevance feedback. J. Vis. Lang. Comput. 19 (6) (2008)
Marin Ferecatu, Nozha Boujemaa, Michel Crucianu
Semantic interactive image retrieval combining visual and conceptual content description. Multim. Syst. 13 (5-6) (2008)
Sébastien Poullot, Michel Crucianu, Olivier Buisson
Fast Content-Based Mining of Web2.0 Videos. PCM (2008)
Michel Crucianu, Daniel Estevez, Vincent Oria, Jean-Philippe Tarel
Hyperplane Queries in a Feature-Space M-tree for Speeding up Active Learning. BDA (2007)
Sébastien Poullot, Olivier Buisson, Michel Crucianu
Z-grid-based probabilistic retrieval for scaling up content-based copy detection. CIVR (2007)
Nizar Grira, Michel Crucianu, Nozha Boujemaa
Active semi-supervised fuzzy clustering for image database categorization. Multimedia Information Retrieval (2005)
Marin Ferecatu, Michel Crucianu, Nozha Boujemaa
Improving performance of interactive categorization of images using relevance feedback. ICIP (1) (2005)
Nizar Grira, Michel Crucianu, Nozha Boujemaa
Semi-supervised image database categorization using pairwise constraints. ICIP (3) (2005)
Nizar Grira, Michel Crucianu, Nozha Boujemaa
Semi-Supervised Fuzzy Clustering with Pairwise-Constrained Competitive Agglomeration. FUZZ-IEEE (2005)
Marin Ferecatu, Nozha Boujemaa, Michel Crucianu
Hybrid visual and conceptual image representation within active relevance feedback context. Multimedia Information Retrieval (2005)
Marin Ferecatu, Michel Crucianu, Nozha Boujemaa
Tuning SVM-Based Relevance Feedback for the Interactive Classification of Images. EWIMT (2004)
Marin Ferecatu, Michel Crucianu, Nozha Boujemaa
Sample Selection Strategies for Relevance Feedback in Region-Based Image Retrieval. PCM (2) (2004)
Nizar Grira, Michel Crucianu, Nozha Boujemaa
Fuzzy Clustering with Pairwise Constraints for Knowledge-Driven Image Categorization. EWIMT (2004)
Marin Ferecatu, Michel Crucianu, Nozha Boujemaa
Retrieval of difficult image classes using svd-based relevance feedback. Multimedia Information Retrieval (2004)
Romuald Boné, Mohammad Assaad, Michel Crucianu
Boosting Recurrent Neural Networks for Time Series Prediction. ICANNGA (2003)
Jean-Yves Ramel, Michel Crucianu, Nicole Vincent, Claudie Faure
Detection, Extraction and Representation of Tables. ICDAR (2003)
Romuald Boné, Michel Crucianu, Jean Pierre Asselin de Beauville
Learning long-term dependencies by the selective addition of time-delayed connections to recurrent neural networks. Neurocomputing 48 (1-4) (2002)
Michel Crucianu, Gilles Verley, Jean Pierre Asselin de Beauville, Romuald Boné
Un outil pour la comparaison et la validation d'algorithmes d'apprentissage à partir de données. Monde des Util. Anal. Données 26 (2001)
Michel Crucianu, Romuald Boné, Jean Pierre Asselin de Beauville
Bayesian learning for recurrent neural networks. Neurocomputing 36 (1-4) (2001)
Romuald Boné, Michel Crucianu, Jean Pierre Asselin de Beauville
An algorithm for the addition of time-delayed connections to recurrent neural networks. ESANN (2000)
Romuald Boné, Michel Crucianu, Gilles Verley, Jean Pierre Asselin de Beauville
A Bounded Exploration Approach to Constructive Algorithms for Recurrent Neural Networks. IJCNN (3) (2000)
Michel Crucianu, Romuald Boné, Jean Pierre Asselin de Beauville
Bayesian learning for time series prediction with exogenous variables. IJCNN (1999)
Michel Crucianu, Romuald Boné, Jean Pierre Asselin de Beauville
Model Comparison for Monthly Forecasts of the CAC 40. ICONIP (1998)
Michel Crucianu, Crucianu Uhry, Jean Pierre Asselin de Beauville, Romuald Boné
NAR time-series prediction: a Bayesian framework and an experiment. ESANN (1998)
Romuald Boné, Michel Crucianu, Pascal Makris, Jean Pierre Asselin de Beauville
A Web Oriented Recurrent Neural Network Simulator. ICONIP (1998)