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ORCIDMichel Crucianu
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- affiliation: INRIA, France
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2020 – today
- 2024
[c47]Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne:
Semantic Generative Augmentations for Few-Shot Counting. WACV 2024: 5431-5440- 2023
- [c46]Wafa Aissa, Marin Ferecatu, Michel Crucianu:
Multimodal Representations for Teacher-Guided Compositional Visual Reasoning. ACIVS 2023: 357-369 - [c45]Perla Doubinsky
, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne:
Wasserstein loss for Semantic Editing in the Latent Space of GANs. CBMI 2023: 55-60 - [c44]Wafa Aissa, Marin Ferecatu, Michel Crucianu:
Curriculum Learning for Compositional Visual Reasoning. VISIGRAPP (5: VISAPP) 2023: 888-897 - [i9]Sheng Zhou, Pierre Blanchart, Michel Crucianu, Marin Ferecatu:
Why is the prediction wrong? Towards underfitting case explanation via meta-classification. CoRR abs/2302.09952 (2023) - [i8]Wafa Aissa, Marin Ferecatu, Michel Crucianu:
Curriculum Learning for Compositional Visual Reasoning. CoRR abs/2303.15006 (2023) - [i7]Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne:
Wasserstein Loss for Semantic Editing in the Latent Space of GANs. CoRR abs/2304.10508 (2023) - [i6]Wafa Aissa, Marin Ferecatu, Michel Crucianu:
Multimodal Representations for Teacher-Guided Compositional Visual Reasoning. CoRR abs/2310.15585 (2023) - [i5]Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne:
Semantic Generative Augmentations for Few-Shot Counting. CoRR abs/2311.16122 (2023) - 2022
- [j11]Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne:
Multi-attribute balanced sampling for disentangled GAN controls. Pattern Recognit. Lett. 162: 56-62 (2022) - [c43]Sheng Zhou, Pierre Blanchart, Michel Crucianu, Marin Ferecatu:
Why is the prediction wrong? Towards underfitting case explanation via meta-classification. DSAA 2022: 1-9 - 2021
- [p2]Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu:
Zero-Shot Learning with Deep Neural Networks for Object Recognition. Multi-faceted Deep Learning 2021: 127-150 - [i4]Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu:
Zero-shot Learning with Deep Neural Networks for Object Recognition. CoRR abs/2102.03137 (2021) - [i3]Perla Doubinsky, Nicolas Audebert, Michel Crucianu, Hervé Le Borgne:
Multi-Attribute Balanced Sampling for Disentangled GAN Controls. CoRR abs/2111.00909 (2021) - 2020
- [j10]Andrey Besedin, Pierre Blanchart, Michel Crucianu, Marin Ferecatu:
Deep online classification using pseudo-generative models. Comput. Vis. Image Underst. 201: 103048 (2020) - [c42]Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu:
Using Sentences as Semantic Representations in Large Scale Zero-Shot Learning. ECCV Workshops (1) 2020: 641-645 - [d1]Clément Rambour, Nicolas Audebert, Elise Colin Koeniguer, Bertrand Le Saux, Michel Crucianu, Mihai Datcu:
SEN12-FLOOD : a SAR and Multispectral Dataset for Flood Detection. IEEE DataPort, 2020
- [i2]Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu:
Using Sentences as Semantic Representations in Large Scale Zero-Shot Learning. CoRR abs/2010.02959 (2020)
2010 – 2019
- 2019
- [c41]Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu:
Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning. ICCV 2019: 10332-10341 - [c40]Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu:
From Classical to Generalized Zero-Shot Learning: A Simple Adaptation Process. MMM (2) 2019: 465-477 - 2018
- [c39]Andrey Besedin, Pierre Blanchart, Michel Crucianu, Marin Ferecatu:
Deep Online Storage-Free Learning on Unordered Image Streams. DMLE/IOTSTREAMING@PKDD/ECML 2018: 103-112 - [r2]Michel Crucianu:
Image Retrieval and Relevance Feedback. Encyclopedia of Database Systems (2nd ed.) 2018 - [i1]Yannick Le Cacheux, Hervé Le Borgne, Michel Crucianu:
From Classical to Generalized Zero-Shot Learning: a Simple Adaptation Process. CoRR abs/1809.10120 (2018) - 2017
- [c38]Lixuan Yang, Helena Rodriguez, Michel Crucianu, Marin Ferecatu:
Fully Convolutional Network with Superpixel Parsing for Fashion Web Image Segmentation. MMM (1) 2017: 139-151 - [c37]Andrey Besedin, Pierre Blanchart, Michel Crucianu, Marin Ferecatu:
Evolutive Deep Models for Online Learning on Datastreams with no Storage. IOTSTREAMING@PKDD/ECML 2017 - 2016
- [j9]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): 1917-1930 (2016) - [c36]Thi Quynh Nhi Tran, Hervé Le Borgne, Michel Crucianu:
Aggregating Image and Text Quantized Correlated Components. CVPR 2016: 2046-2054 - [c35]Thi Quynh Nhi Tran, Hervé Le Borgne, Michel Crucianu:
Cross-modal Classification by Completing Unimodal Representations. iV&L-MM@MM 2016: 17-25 - [c34]Lixuan Yang, Helena Rodriguez, Michel Crucianu, Marin Ferecatu:
A Global-Local Approach to Extracting Deformable Fashion Items from Web Images. PCM (2) 2016: 1-12 - [c33]Lixuan Yang, Helena Rodriguez, Michel Crucianu, Marin Ferecatu:
Classification-driven Active Contour for Dress Segmentation. VISIGRAPP (4: VISAPP) 2016: 22-29 - 2015
- [c32]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: 1-6 - [c31]Andrei Stoian, Marin Ferecatu, Jenny Benois-Pineau, Michel Crucianu:
Scalable action localization with kernel-space hashing. ICIP 2015: 257-261 - [c30]Thi Quynh Nhi Tran, Hervé Le Borgne, Michel Crucianu:
Combining Generic and Specific Information for Cross-modal Retrieval. ICMR 2015: 551-554 - 2013
- [c29]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: 234-241 - 2012
- [c28]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 - 2010
- [j8]Sébastien Poullot, Olivier Buisson, Michel Crucianu:
Scaling content-based video copy detection to very large databases. Multim. Tools Appl. 47(2): 279-306 (2010) - [c27]Timo Pröscholdt, Michel Crucianu:
On Finding Complementary Clusterings. ESANN 2010 - [c26]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: 381-390 - [c25]Wajih Ouertani, Michel Crucianu, Nozha Boujemaa:
Interactive learning of heterogeneous visual concepts with local features. ACM Multimedia 2010: 995-998
2000 – 2009
- 2009
- [c24]Sébastien Poullot, Michel Crucianu, Shin'ichi Satoh:
Indexing local configurations of features for scalable content-based video copy detection. LS-MMRM@ACM Multimedia 2009: 43-50 - [c23]Yi Yu, Michel Crucianu, Vincent Oria, Lei Chen:
Local summarization and multi-level LSH for retrieving multi-variant audio tracks. ACM Multimedia 2009: 341-350 - [c22]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 - [r1]Michel Crucianu:
Image Retrieval and Relevance Feedback. Encyclopedia of Database Systems 2009: 1384-1389 - 2008
- [j7]Michel Crucianu, Daniel Estevez, Vincent Oria, Jean-Philippe Tarel:
Speeding up active relevance feedback with approximate kNN retrieval for hyperplane queries. Int. J. Imaging Syst. Technol. 18(2-3): 150-159 (2008) - [j6]Marin Ferecatu, Nozha Boujemaa, Michel Crucianu:
Semantic interactive image retrieval combining visual and conceptual content description. Multim. Syst. 13(5-6): 309-322 (2008) - [j5]Nizar Grira, Michel Crucianu, Nozha Boujemaa:
Active semi-supervised fuzzy clustering. Pattern Recognit. 41(5): 1834-1844 (2008) - [j4]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): 629-636 (2008) - [c21]Sébastien Poullot, Michel Crucianu, Olivier Buisson:
Scalable mining of large video databases using copy detection. ACM Multimedia 2008: 61-70 - [c20]Sébastien Poullot, Michel Crucianu, Olivier Buisson:
Fast Content-Based Mining of Web2.0 Videos. PCM 2008: 99-108 - [p1]Marin Ferecatu, Nozha Boujemaa, Michel Crucianu:
Interactive Image Retrieval Using a Hybrid Visual and Conceptual Content Representation. Multimodal Processing and Interaction 2008: 1-20 - 2007
- [c19]Michel Crucianu, Daniel Estevez, Vincent Oria, Jean-Philippe Tarel:
Hyperplane Queries in a Feature-Space M-tree for Speeding up Active Learning. BDA 2007 - [c18]Sébastien Poullot, Olivier Buisson, Michel Crucianu:
Z-grid-based probabilistic retrieval for scaling up content-based copy detection. CIVR 2007: 348-355 - 2005
- [c17]Nizar Grira, Michel Crucianu, Nozha Boujemaa:
Semi-Supervised Fuzzy Clustering with Pairwise-Constrained Competitive Agglomeration. FUZZ-IEEE 2005: 867-872 - [c16]Marin Ferecatu, Michel Crucianu, Nozha Boujemaa:
Improving performance of interactive categorization of images using relevance feedback. ICIP (1) 2005: 1197-1200 - [c15]Nizar Grira, Michel Crucianu, Nozha Boujemaa:
Semi-supervised image database categorization using pairwise constraints. ICIP (3) 2005: 1228-1231 - [c14]Nizar Grira, Michel Crucianu, Nozha Boujemaa:
Active semi-supervised fuzzy clustering for image database categorization. Multimedia Information Retrieval 2005: 9-16 - [c13]Marin Ferecatu, Nozha Boujemaa, Michel Crucianu:
Hybrid visual and conceptual image representation within active relevance feedback context. Multimedia Information Retrieval 2005: 209-216 - 2004
- [c12]Marin Ferecatu, Michel Crucianu, Nozha Boujemaa:
Tuning SVM-Based Relevance Feedback for the Interactive Classification of Images. EWIMT 2004 - [c11]Nizar Grira, Michel Crucianu, Nozha Boujemaa:
Fuzzy Clustering with Pairwise Constraints for Knowledge-Driven Image Categorization. EWIMT 2004 - [c10]Marin Ferecatu, Michel Crucianu, Nozha Boujemaa:
Retrieval of difficult image classes using svd-based relevance feedback. Multimedia Information Retrieval 2004: 23-30 - [c9]Marin Ferecatu, Michel Crucianu, Nozha Boujemaa:
Sample Selection Strategies for Relevance Feedback in Region-Based Image Retrieval. PCM (2) 2004: 497-504 - 2003
- [c8]Romuald Boné, Mohammad Assaad, Michel Crucianu:
Boosting Recurrent Neural Networks for Time Series Prediction. ICANNGA 2003: 18-22 - [c7]Jean-Yves Ramel, Michel Crucianu, Nicole Vincent, Claudie Faure:
Detection, Extraction and Representation of Tables. ICDAR 2003: 374-378 - 2002
- [j3]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): 251-266 (2002) - 2001
- [j2]Michel Crucianu, Romuald Boné, Jean Pierre Asselin de Beauville:
Bayesian learning for recurrent neural networks. Neurocomputing 36(1-4): 235-242 (2001) - [j1]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: 55-70 (2001) - 2000
- [c6]Romuald Boné, Michel Crucianu, Jean Pierre Asselin de Beauville:
An algorithm for the addition of time-delayed connections to recurrent neural networks. ESANN 2000: 293-298 - [c5]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: 27-34
1990 – 1999
- 1999
- [c4]Michel Crucianu, Romuald Boné, Jean Pierre Asselin de Beauville:
Bayesian learning for time series prediction with exogenous variables. IJCNN 1999: 2594-2599 - 1998
- [c3]Michel Crucianu, Crucianu Uhry, Jean Pierre Asselin de Beauville, Romuald Boné:
NAR time-series prediction: a Bayesian framework and an experiment. ESANN 1998: 111-116 - [c2]Romuald Boné, Michel Crucianu, Pascal Makris, Jean Pierre Asselin de Beauville:
A Web Oriented Recurrent Neural Network Simulator. ICONIP 1998: 97-100 - [c1]Michel Crucianu, Romuald Boné, Jean Pierre Asselin de Beauville:
Model Comparison for Monthly Forecasts of the CAC 40. ICONIP 1998: 1033-1036
Coauthor Index
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last updated on 2024-06-19 21:52 CEST by the dblp team
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