Michel Crucianu

71 papers A* 6A 2B 11C 2Journal 20Unranked 26

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