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Céline Hudelot
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2020 – today
- 2024
- [c59]Dao Thauvin, Stéphane Herbin, Wassila Ouerdane, Céline Hudelot:
Interpretable Image Classification Through an Argumentative Dialog Between Encoders. ECAI 2024: 3316-3323 - [c58]Grégoire Petit, Michaël Soumm, Eva Feillet, Adrian Popescu, Bertrand Delezoide, David Picard, Céline Hudelot:
An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning. WACV 2024: 1826-1836 - [c57]Hippolyte Gisserot-Boukhlef, Ricardo Rei, Emmanuel Malherbe, Céline Hudelot, Pierre Colombo, Nuno Miguel Guerreiro:
Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis. WMT 2024: 1373-1392 - [i47]Manuel Faysse, Patrick Fernandes, Nuno Miguel Guerreiro, António Loison, Duarte M. Alves, Caio F. Corro, Nicolas Boizard, João Alves, Ricardo Rei, Pedro Henrique Martins, Antoni Bigata Casademunt, François Yvon, André F. T. Martins, Gautier Viaud
, Céline Hudelot, Pierre Colombo:
CroissantLLM: A Truly Bilingual French-English Language Model. CoRR abs/2402.00786 (2024) - [i46]Nicolas Boizard, Kevin El Haddad, Céline Hudelot, Pierre Colombo:
Towards Cross-Tokenizer Distillation: the Universal Logit Distillation Loss for LLMs. CoRR abs/2402.12030 (2024) - [i45]Hippolyte Gisserot-Boukhlef, Manuel Faysse, Emmanuel Malherbe, Céline Hudelot, Pierre Colombo:
Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism. CoRR abs/2402.12997 (2024) - [i44]Arthur Ledaguenel, Céline Hudelot, Mostepha Khouadjia:
Improving Neural-based Classification with Logical Background Knowledge. CoRR abs/2402.13019 (2024) - [i43]Eva Feillet, Adrian Popescu, Céline Hudelot:
Recommendation of data-free class-incremental learning algorithms by simulating future data. CoRR abs/2403.18132 (2024) - [i42]Arthur Ledaguenel, Céline Hudelot, Mostepha Khouadjia:
Complexity of Probabilistic Reasoning for Neurosymbolic Classification Techniques. CoRR abs/2404.08404 (2024) - [i41]Théo Moutakanni
Advancing human-centric AI for robust X-ray analysis through holistic self-supervised learning. CoRR abs/2405.01469 (2024) - [i40]Alexis-Raja Brachet, Pierre-Yves Richard, Céline Hudelot:
Bond Graphs for multi-physics informed Neural Networks for multi-variate time series. CoRR abs/2405.13586 (2024) - [i39]Manuel Faysse, Hugues Sibille, Tony Wu, Bilel Omrani, Gautier Viaud
ColPali: Efficient Document Retrieval with Vision Language Models. CoRR abs/2407.01449 (2024) - [i38]Arthur Ledaguenel, Céline Hudelot, Mostepha Khouadjia:
Neurosymbolic Conformal Classification. CoRR abs/2409.13585 (2024) - [i37]Hippolyte Gisserot-Boukhlef, Ricardo Rei, Emmanuel Malherbe, Céline Hudelot, Pierre Colombo, Nuno Miguel Guerreiro:
Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis. CoRR abs/2409.20059 (2024) - 2023
- [c56]Élise Lincker, Olivier Pons, Camille Guinaudeau, Isabelle Barbet, Jérôme Dupire, Céline Hudelot, Vincent Mousseau, Caroline Huron:
Layout and Activity-based Textbook Modeling for Automatic PDF Textbook Extraction. iTextbooks@AIED 2023: 37-53 - [c55]Élise Lincker
Noisy and Unbalanced Multimodal Document Classification: Textbook Exercises as a Use Case. CBMI 2023: 71-78 - [c54]Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed:
Open-Set Likelihood Maximization for Few-Shot Learning. CVPR 2023: 24007-24016 - [c53]Manuel Faysse, Gautier Viaud
Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications. EMNLP 2023: 9033-9048 - [c52]Johanna Ott, Arthur Ledaguenel, Céline Hudelot, Mattis Hartwig:
How to Think About Benchmarking Neurosymbolic AI? NeSy 2023: 248-254 - [c51]Élise Lincker, Camille Guinaudeau, Olivier Pons, Jérôme Dupire, Isabelle Barbet, Céline Hudelot, Vincent Mousseau, Caroline Huron:
Classification automatique de données déséquilibrées et bruitées : application aux exercices de manuels scolaires. CORIA-TALN (4) 2023: 121-130 - [c50]Eva Feillet, Grégoire Petit, Adrian Popescu, Marina Reyboz, Céline Hudelot:
AdvisIL - A Class-Incremental Learning Advisor. WACV 2023: 2399-2408 - [i36]Malik Boudiaf, Etienne Bennequin, Myriam Tami, Antoine Toubhans, Pablo Piantanida, Céline Hudelot, Ismail Ben Ayed:
Open-Set Likelihood Maximization for Few-Shot Learning. CoRR abs/2301.08390 (2023) - [i35]Grégoire Petit, Michaël Soumm, Eva Feillet, Adrian Popescu, Bertrand Delezoide, David Picard, Céline Hudelot:
An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning. CoRR abs/2308.11677 (2023) - [i34]Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Victor Storchan, Myriam Tami, Ismail Ben Ayed, Céline Hudelot, Pablo Piantanida:
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models. CoRR abs/2310.13998 (2023) - [i33]Manuel Faysse, Gautier Viaud
Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications. CoRR abs/2310.14103 (2023) - 2022
- [j19]Martin Charachon
Leveraging conditional generative models in a general explanation framework of classifier decisions. Future Gener. Comput. Syst. 132: 223-238 (2022) - [j18]Umang Aggarwal
A comparative study of calibration methods for imbalanced class incremental learning. Multim. Tools Appl. 81(14): 19237-19256 (2022) - [c49]Etienne Bennequin, Myriam Tami, Antoine Toubhans, Céline Hudelot:
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling. CVPR Workshops 2022: 4766-4775 - [c48]Jun Zhu, Céline Hudelot:
Towards Job-Transition-Tag Graph for a Better Job Title Representation Learning. NAACL-HLT (Findings) 2022: 2133-2140 - [i32]Umang Aggarwal, Adrian Popescu, Céline Hudelot:
Optimizing Active Learning for Low Annotation Budgets. CoRR abs/2201.07200 (2022) - [i31]Umang Aggarwal, Adrian Popescu, Eden Belouadah, Céline Hudelot:
A Comparative Study of Calibration Methods for Imbalanced Class Incremental Learning. CoRR abs/2202.00386 (2022) - [i30]Umang Aggarwal, Adrian Popescu, Céline Hudelot:
Minority Class Oriented Active Learning for Imbalanced Datasets. CoRR abs/2202.00390 (2022) - [i29]Etienne Bennequin, Myriam Tami, Antoine Toubhans, Céline Hudelot:
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling. CoRR abs/2205.05155 (2022) - [i28]Jun Zhu, Céline Hudelot:
Towards Job-Transition-Tag Graph for a Better Job Title Representation Learning. CoRR abs/2206.02782 (2022) - [i27]Malik Boudiaf, Etienne Bennequin, Myriam Tami, Céline Hudelot, Antoine Toubhans, Pablo Piantanida, Ismail Ben Ayed:
Model-Agnostic Few-Shot Open-Set Recognition. CoRR abs/2206.09236 (2022) - [i26]Thomas Cordier, Victor Bouvier, Gilles Hénaff, Céline Hudelot:
Test-Time Adaptation with Principal Component Analysis. CoRR abs/2209.05779 (2022) - 2021
- [j17]Régis Pierrard
Spatial relation learning for explainable image classification and annotation in critical applications. Artif. Intell. 292: 103434 (2021) - [c47]Edoardo Ramalli, Alberto Parravicini, Guido Walter Di Donato, Mirko Salaris
Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding. BioCAS 2021: 1-5 - [c46]Jun Zhu, Gautier Viaud, Céline Hudelot:
Improving Next-Application Prediction with Deep Personalized-Attention Neural Network. ICMLA 2021: 1615-1622 - [c45]Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot:
Robust Domain Adaptation: Representations, Weights and Inductive Bias (Extended Abstract). IJCAI 2021: 4750-4754 - [c44]Martin Charachon
Visual Explanation by Unifying Adversarial Generation and Feature Importance Attributions. iMIMIC/TDA4MedicalData@MICCAI 2021: 44-55 - [c43]Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot:
Stochastic Adversarial Gradient Embedding for Active Domain Adaptation. IAL@PKDD/ECML 2021: 121-137 - [c42]Etienne Bennequin, Victor Bouvier, Myriam Tami, Antoine Toubhans, Céline Hudelot:
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift. ECML/PKDD (1) 2021: 554-569 - [c41]Yassine Ouali, Céline Hudelot, Myriam Tami:
Spatial Contrastive Learning for Few-Shot Classification. ECML/PKDD (1) 2021: 671-686 - [i25]Etienne Bennequin, Victor Bouvier, Myriam Tami, Antoine Toubhans, Céline Hudelot:
Bridging Few-Shot Learning and Adaptation: New Challenges of Support-Query Shift. CoRR abs/2105.11804 (2021) - [i24]Martin Charachon, Paul-Henry Cournède, Céline Hudelot, Roberto Ardon:
Leveraging Conditional Generative Models in a General Explanation Framework of Classifier Decisions. CoRR abs/2106.10947 (2021) - [i23]Edoardo Ramalli
Demystifying Drug Repurposing Domain Comprehension with Knowledge Graph Embedding. CoRR abs/2108.13051 (2021) - [i22]Victor Pellegrain, Myriam Tami, Michel Batteux, Céline Hudelot:
StreaMulT: Streaming Multimodal Transformer for Heterogeneous and Arbitrary Long Sequential Data. CoRR abs/2110.08021 (2021) - [i21]Jun Zhu, Gautier Viaud, Céline Hudelot:
Improving Next-Application Prediction with Deep Personalized-Attention Neural Network. CoRR abs/2111.11296 (2021) - 2020
- [j16]Youssef Tamaazousti
Learning More Universal Representations for Transfer-Learning. IEEE Trans. Pattern Anal. Mach. Intell. 42(9): 2212-2224 (2020) - [c40]Yassine Ouali, Céline Hudelot, Myriam Tami:
Semi-Supervised Semantic Segmentation With Cross-Consistency Training. CVPR 2020: 12671-12681 - [c39]Yassine Ouali, Céline Hudelot, Myriam Tami:
Autoregressive Unsupervised Image Segmentation. ECCV (7) 2020: 142-158 - [c38]Béatrice Mazoyer, Nicolas Hervé, Céline Hudelot, Julia Cagé:
Représentations lexicales pour la détection non supervisée d'événements dans un flux de tweets : étude sur des corpus français et anglais. EGC 2020: 85-96 - [c37]Antoine Plumerault, Hervé Le Borgne, Céline Hudelot:
Controlling generative models with continuous factors of variations. ICLR 2020 - [c36]Martin Charachon
Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification. ICPR 2020: 7188-7195 - [c35]Antoine Plumerault, Hervé Le Borgne, Céline Hudelot:
AVAE: Adversarial Variational Auto Encoder. ICPR 2020: 8687-8694 - [c34]Umang Aggarwal, Adrian Popescu, Céline Hudelot:
Minority Class Oriented Active Learning for Imbalanced Datasets. ICPR 2020: 9920-9927 - [c33]Béatrice Mazoyer, Julia Cagé, Nicolas Hervé, Céline Hudelot:
A French Corpus for Event Detection on Twitter. LREC 2020: 6220-6227 - [c32]Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot:
Robust Domain Adaptation: Representations, Weights and Inductive Bias. ECML/PKDD (1) 2020: 353-377 - [c31]Régis Pierrard
SIMD-based Exact Parallel Fuzzy Dilation Operator for Fast Computing of Fuzzy Spatial Relations. WPMVP@PPoPP 2020: 3:1-3:8 - [c30]Umang Aggarwal, Adrian Popescu, Céline Hudelot:
Active Learning for Imbalanced Datasets. WACV 2020: 1417-1426 - [i20]Béatrice Mazoyer
Représentations lexicales pour la détection non supervisée d'événements dans un flux de tweets : étude sur des corpus français et anglais. CoRR abs/2001.04139 (2020) - [i19]Antoine Plumerault, Hervé Le Borgne, Céline Hudelot:
Controlling generative models with continuous factors of variations. CoRR abs/2001.10238 (2020) - [i18]Yassine Ouali, Céline Hudelot, Myriam Tami:
Semi-Supervised Semantic Segmentation with Cross-Consistency Training. CoRR abs/2003.09005 (2020) - [i17]Yassine Ouali, Céline Hudelot, Myriam Tami:
An Overview of Deep Semi-Supervised Learning. CoRR abs/2006.05278 (2020) - [i16]Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot:
Robust Domain Adaptation: Representations, Weights and Inductive Bias. CoRR abs/2006.13629 (2020) - [i15]Yassine Ouali, Victor Bouvier, Myriam Tami, Céline Hudelot:
Target Consistency for Domain Adaptation: when Robustness meets Transferability. CoRR abs/2006.14263 (2020) - [i14]Yassine Ouali, Céline Hudelot, Myriam Tami:
Autoregressive Unsupervised Image Segmentation. CoRR abs/2007.08247 (2020) - [i13]Victor Bouvier, Philippe Very, Clément Chastagnol, Myriam Tami, Céline Hudelot:
Stochastic Adversarial Gradient Embedding for Active Domain Adaptation. CoRR abs/2012.01843 (2020) - [i12]Martin Charachon, Céline Hudelot, Paul-Henry Cournède, Camille Ruppli, Roberto Ardon:
Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification. CoRR abs/2012.07332 (2020) - [i11]Antoine Plumerault, Hervé Le Borgne, Céline Hudelot:
AVAE: Adversarial Variational Auto Encoder. CoRR abs/2012.11551 (2020) - [i10]Yassine Ouali, Céline Hudelot, Myriam Tami:
Spatial Contrastive Learning for Few-Shot Classification. CoRR abs/2012.13831 (2020)
2010 – 2019
- 2019
- [c29]Régis Pierrard, Jean-Philippe Poli, Céline Hudelot:
Apprentissage de relations floues pour l'annotation sémantique expliquée avec peu de données. RJCIA 2019: 18-26 - [i9]Victor Bouvier, Philippe Very, Céline Hudelot, Clément Chastagnol:
Hidden Covariate Shift: A Minimal Assumption For Domain Adaptation. CoRR abs/1907.12299 (2019) - [i8]Victor Bouvier, Philippe Very, Céline Hudelot, Clément Chastagnol:
Learning Invariant Representations for Sentiment Analysis: The Missing Material is Datasets. CoRR abs/1907.12305 (2019) - [i7]Régis Pierrard
A New Approach for Explainable Multiple Organ Annotation with Few Data. CoRR abs/1912.12932 (2019) - 2018
- [j15]Marc Aiguier, Jamal Atif
Belief revision, minimal change and relaxation: A general framework based on satisfaction systems, and applications to description logics. Artif. Intell. 256: 160-180 (2018) - [c28]Julien Girard, Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot:
Learning Finer-class Networks for Universal Representations. BMVC 2018: 274 - [c27]Béatrice Mazoyer, Julia Cagé, Céline Hudelot, Marie-Luce Viaud:
Real-Time Collection of Reliable and Representative Tweets Datasets Related to News Events. BroDyn@ECIR 2018: 23-34 - [c26]Régis Pierrard
Learning Fuzzy Relations and Properties for Explainable Artificial Intelligence. FUZZ-IEEE 2018: 1-8 - [c25]Régis Pierrard, Jean-Philippe Poli, Céline Hudelot:
A Fuzzy Close Algorithm for Mining Fuzzy Association Rules. IPMU (2) 2018: 88-99 - [i6]Julien Girard, Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot:
Learning Finer-class Networks for Universal Representations. CoRR abs/1810.02126 (2018) - 2017
- [j14]Youssef Tamaazousti, Hervé Le Borgne, Adrian Popescu, Etienne Gadeski, Alexandru-Lucian Gînsca, Céline Hudelot:
Vision-language integration using constrained local semantic features. Comput. Vis. Image Underst. 163: 41-57 (2017) - [c24]Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot:
MuCaLe-Net: Multi Categorical-Level Networks to Generate More Discriminating Features. CVPR 2017: 5282-5291 - [p2]Davide Conigliaro, Roberta Ferrario, Céline Hudelot, Daniele Porello
Integrating Computer Vision Algorithms and Ontologies for Spectator Crowd Behavior Analysis. Group and Crowd Behavior for Computer Vision 2017: 297-319 - [i5]Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot, Mohamed El Amine Seddik, Mohamed Tamaazousti:
Learning More Universal Representations for Transfer-Learning. CoRR abs/1712.09708 (2017) - 2016
- [j13]Jamal Atif, Isabelle Bloch, Céline Hudelot:
Some Relationships Between Fuzzy Sets, Mathematical Morphology, Rough Sets, F-Transforms, and Formal Concept Analysis. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 24(Supplement-2): 1-32 (2016) - [c23]Youssef Tamaazousti, Hervé Le Borgne, Céline Hudelot:
Diverse Concept-Level Features for Multi-Object Classification. ICMR 2016: 63-70 - 2015
- [j12]Adrien Maglo, Guillaume Lavoué, Florent Dupont
3D Mesh Compression: Survey, Comparisons, and Emerging Trends. ACM Comput. Surv. 47(3): 44:1-44:41 (2015) - [i4]Marc Aiguier, Jamal Atif, Isabelle Bloch, Céline Hudelot:
Belief revision in Institutions : A relaxation based approach. CoRR abs/1502.02298 (2015) - [i3]Marc Aiguier, Jamal Atif, Isabelle Bloch, Céline Hudelot:
Relaxation-based revision operators in description logics. CoRR abs/1502.07628 (2015) - [i2]Marc Aiguier, Jamal Atif, Isabelle Bloch, Céline Hudelot:
Some algebraic results in Description logics : Free model and inclusions, finite basis theorem, and completion of knowledge bases. CoRR abs/1502.07634 (2015) - 2014
- [j11]Konstantin Todorov, Céline Hudelot, Adrian Popescu, Peter Geibel:
Fuzzy Ontology Alignment using Background Knowledge. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 22(1): 75-112 (2014) - [j10]Hichem Bannour, Céline Hudelot:
Building and using fuzzy multimedia ontologies for semantic image annotation. Multim. Tools Appl. 72(3): 2107-2141 (2014) - [j9]Jamal Atif, Céline Hudelot, Isabelle Bloch:
Explanatory Reasoning for Image Understanding Using Formal Concept Analysis and Description Logics. IEEE Trans. Syst. Man Cybern. Syst. 44(5): 552-570 (2014) - [c22]Céline Hudelot, Jamal Atif, Isabelle Bloch:
ALC(𝔽): A New Description Logic for Spatial Reasoning in Images. ECCV Workshops (2) 2014: 370-384 - [c21]Konstantin Todorov
Fuzzy and Cross-Lingual Ontology Matching Mediated by Background Knowledge. URSW (LNCS Vol.) 2014: 142-162 - 2013
- [j8]Adrien Maglo, Ian J. Grimstead, Céline Hudelot:
POMAR: Compression of progressive oriented meshes accessible randomly. Comput. Graph. 37(6): 743-752 (2013) - [j7]Konstantin Todorov
Multimedia ontology matching by using visual and textual modalities. Multim. Tools Appl. 62(2): 401-425 (2013) - [j6]Hichem Bannour, Céline Hudelot:
Construction de hiérarchies sémantiques pour l'annotation d'images. Rev. d'Intelligence Artif. 27(1): 11-37 (2013) - [j5]Amel Znaidia, Aymen Shabou, Hervé Le Borgne, Céline Hudelot:
Codage des modèles de tags. Rev. d'Intelligence Artif. 27(1): 39-63 (2013) - [c20]Jamal Atif, Isabelle Bloch, Felix Distel, Céline Hudelot:
A fuzzy extension of explanatory relations based on mathematical morphology. EUSFLAT Conf. 2013 - [c19]Jamal Atif, Isabelle Bloch, Felix Distel, Céline Hudelot:
Mathematical Morphology Operators over Concept Lattices. ICFCA 2013: 28-43 - [c18]Amel Znaidia, Hervé Le Borgne, Céline Hudelot:
Tag completion based on belief theory and neighbor voting. ICMR 2013: 49-56 - [i1]Hichem Bannour, Céline Hudelot:
Combinaison d'information visuelle, conceptuelle, et contextuelle pour la construction automatique de hierarchies semantiques adaptees a l'annotation d'images. CoRR abs/1304.5063 (2013) - 2012
- [j4]Adrien Maglo, Clement Courbet, Pierre Alliez, Céline Hudelot:
Progressive compression of manifold polygon meshes. Comput. Graph. 36(5): 349-359 (2012) - [c17]Amel Znaidia, Hervé Le Borgne, Céline Hudelot:
Belief Theory for Large-Scale Multi-label Image Classification. Belief Functions 2012: 205-212 - [c16]Hichem Bannour
Hierarchical image annotation using semantic hierarchies. CIKM 2012: 2431-2434 - [c15]Amel Znaidia, Aymen Shabou, Hervé Le Borgne, Céline Hudelot, Nikos Paragios:
Bag-of-multimedia-words for image classification. ICPR 2012: 1509-1512 - [c14]Amel Znaidia, Aymen Shabou, Adrian Popescu, Hervé Le Borgne, Céline Hudelot:
Multimodal feature generation framework for semantic image classification. ICMR 2012: 38 - [c13]Hichem Bannour
Building Semantic Hierarchies Faithful to Image Semantics. MMM 2012: 4-15 - 2011
- [j3]Clement Courbet, Céline Hudelot:
Taylor Prediction for Mesh Geometry Compression. Comput. Graph. Forum 30(1): 139-151 (2011) - [c12]Hichem Bannour
Towards ontologies for image interpretation and annotation. CBMI 2011: 211-216 - [c11]Jamal Atif, Céline Hudelot, Isabelle Bloch:
Abduction in Description Logics using Formal Concept Analysis and Mathematical Morphology: Application to Image Interpretation. CLA 2011: 405-408 - [c10]Konstantin Todorov
A Framework for a Fuzzy Matching between Multiple Domain Ontologies. KES (1) 2011: 538-547 - [c9]Konstantin Todorov, Peter Geibel, Céline Hudelot:
Building A Fuzzy Knowledge Body for Integrating Domain Ontologies. URSW 2011: 3-14 - 2010
- [c8]Céline Hudelot, Jamal Atif, Isabelle Bloch:
Integrating Bipolar Fuzzy Mathematical Morphology in Description Logics for Spatial Reasoning. ECAI 2010: 497-502 - [c7]Nicolas James, Konstantin Todorov
Ontology matching for the semantic annotation of images. FUZZ-IEEE 2010: 1-8 - [c6]Nicolas James, Konstantin Todorov
Combining Visual and Textual Modalities for Multimedia Ontology Matching. SAMT 2010: 95-110 - [c5]Adrien Maglo, Ho Lee, Guillaume Lavoué, Christophe Mouton, Céline Hudelot, Florent Dupont:
Remote scientific visualization of progressive 3D meshes with X3D. Web3D 2010: 109-116
2000 – 2009
- 2009
- [j2]Clement Courbet, Céline Hudelot:
Random Accessible Hierarchical Mesh Compression for Interactive Visualization. Comput. Graph. Forum 28(5): 1311-1318 (2009) - 2008
- [j1]Céline Hudelot, Jamal Atif, Isabelle Bloch:
Fuzzy spatial relation ontology for image interpretation. Fuzzy Sets Syst. 159(15): 1929-1951 (2008) - [p1]Céline Hudelot, Jamal Atif, Isabelle Bloch:
FSRO : une ontologie de relations spatiales floues pour l'interprétation d'images. Les Relations Spatiales 2008: 53-84 - 2007
- [c4]Jamal Atif, Céline Hudelot, Geoffroy Fouquier, Isabelle Bloch, Elsa D. Angelini:
From Generic Knowledge to Specific Reasoning for Medical Image Interpretation Using Graph based Representations. IJCAI 2007: 224-229 - [c3]Jamal Atif, Céline Hudelot, Olivier Nempont, Nathalie Richard, Bénédicte Batrancourt
Grafip: A Framework for the Representation of Healthy and Pathological Cerebral Information. ISBI 2007: 205-208 - 2005
- [b1]Céline Hudelot:
Towards a Cognitive Vision Platform for Semantic Image Interpretation; Application to the Recognition of Biological Organisms. University of Nice Sophia Antipolis, France, 2005 - 2004
- [c2]Nicolas Maillot, Monique Thonnat, Céline Hudelot:
Ontology Based Object Learning and Recognition: Application to Image Retrieval. ICTAI 2004: 620-625 - 2003
- [c1]Céline Hudelot, Monique Thonnat:
A Cognitive Vision Platform for Automatic Recognition of Natural Complex Objects. ICTAI 2003: 398-405
Coauthor Index
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last updated on 2024-11-30 00:18 CET by the dblp team
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