Search Results - "Hudelot, Celine"

Semi-Supervised Semantic Segmentation With Cross-Consistency Training by Ouali, Yassine, Hudelot, Celine, Tami, Myriam

“…In this paper, we present a novel cross-consistency based semi-supervised approach for semantic segmentation. Consistency training has proven to be a powerful…”
Get full text

Active Learning for Imbalanced Datasets by Aggarwal, Umang, Popescu, Adrian, Hudelot, Celine

“…Active learning increases the effectiveness of labeling when only subsets of unlabeled datasets can be processed manually. To our knowledge, existing…”
Get full text

A comparative study of calibration methods for imbalanced class incremental learning by Aggarwal, Umang, Popescu, Adrian, Belouadah, Eden, Hudelot, Celine

“…Deep learning approaches are successful in a wide range of AI problems and in particular for visual recognition tasks. However, there are still open problems…”
Get full text

Learning More Universal Representations for Transfer-Learning by Tamaazousti, Youssef, Le Borgne, Herve, Hudelot, Celine, Seddik, Mohamed-El-Amine, Tamaazousti, Mohamed

“…A representation is supposed universal if it encodes any element of the visual world (e.g., objects, scenes) in any configuration (e.g., scale, context). While…”
Get full text

Minority Class Oriented Active Learning for Imbalanced Datasets by Aggarwal, Umang, Popescu, Adrian, Hudelot, Celine

“…Active learning aims to optimize the dataset annotation process when resources are constrained. Most existing methods are designed for balanced datasets. Their…”
Get full text

Open-Set Likelihood Maximization for Few-Shot Learning by Boudiaf, Malik, Bennequin, Etienne, Tami, Myriam, Toubhans, Antoine, Piantanida, Pablo, Hudelot, Celine, Ben Ayed, Ismail

“…We tackle the Few-Shot Open-Set Recognition (FSOSR) problem, i.e. classifying instances among a set of classes for which we only have a few labeled samples,…”
Get full text

AVAE: Adversarial Variational Auto Encoder by Plumerault, Antoine, Le Borgne, Herve, Hudelot, Celine

“…Among the wide variety of image generative models, two models stand out: Variational Auto Encoders (VAE) and Generative Adversarial Networks (GAN). GANs can…”
Get full text

Combining Similarity and Adversarial Learning to Generate Visual Explanation: Application to Medical Image Classification by Charachon, Martin, Hudelot, Celine, Cournede, Paul-Henry, Ruppli, Camille, Ardon, Roberto

“…Explaining decisions of black-box classifiers is paramount in sensitive domains such as medical imaging since clinicians confidence is necessary for adoption…”
Get full text

MuCaLe-Net: Multi Categorical-Level Networks to Generate More Discriminating Features by Tamaazousti, Youssef, Le Borgne, Herve, Hudelot, Celine

“…In a transfer-learning scheme, the intermediate layers of a pre-trained CNN are employed as universal image representation to tackle many visual classification…”
Get full text

Random Accessible Hierarchical Mesh Compression for Interactive Visualization by Courbet, Clement, Hudelot, Celine

“…This paper presents a novel algorithm for hierarchical random accessible mesh decompression. Our approach progressively decompresses the requested parts of a…”
Get full text

Fuzzy spatial relation ontology for image interpretation by Hudelot, Céline, Atif, Jamal, Bloch, Isabelle

“…The semantic interpretation of images can benefit from representations of useful concepts and the links between them as ontologies. In this paper, we propose…”
Get full text

Spatial relation learning for explainable image classification and annotation in critical applications by Pierrard, Régis, Poli, Jean-Philippe, Hudelot, Céline

“…With the recent successes of black-box models in Artificial Intelligence (AI) and the growing interactions between humans and AIs, explainability issues have…”
Get full text

Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling by Bennequin, Etienne, Tami, Myriam, Toubhans, Antoine, Hudelot, Celine

“…Every day, a new method is published to tackle Few-Shot Image Classification, showing better and better performances on academic benchmarks. Nevertheless, we…”
Get full text

Improving Next-Application Prediction with Deep Personalized-Attention Neural Network by Zhu, Jun, Viaud, Gautier, Hudelot, Celine

“…Recently, due to the ubiquity and supremacy of E-recruitment platforms, job recommender systems have been largely studied. In this paper, we tackle the next…”
Get full text

Building and using fuzzy multimedia ontologies for semantic image annotation by Bannour, Hichem, Hudelot, Céline

“…This paper proposes a methodology for building fuzzy multimedia ontologies dedicated to image annotation. The built ontology incorporates visual, conceptual,…”
Get full text

Leveraging conditional generative models in a general explanation framework of classifier decisions by Charachon, Martin, Cournède, Paul-Henry, Hudelot, Céline, Ardon, Roberto

“…With the increase in use of machine learning classifiers in several fields, providing human- understandable explanation of their outputs has become an…”
Get full text

Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models by Colombo, Pierre, Pellegrain, Victor, Boudiaf, Malik, Storchan, Victor, Tami, Myriam, Ayed, Ismail Ben, Hudelot, Celine, Piantanida, Pablo

“…Proprietary and closed APIs are becoming increasingly common to process natural language, and are impacting the practical applications of natural language…”
Get full text

Learning Fuzzy Relations and Properties for Explainable Artificial Intelligence by Pierrard, Regis, Poli, Jean-Philippe, Hudelot, Celine

“…The goal of explainable artificial intelligence is to solve problems in a way that humans can understand how it does it. However, few approaches have been…”
Get full text

Vision-language integration using constrained local semantic features by Tamaazousti, Youssef, Le Borgne, Hervé, Popescu, Adrian, Gadeski, Etienne, Ginsca, Alexandru, Hudelot, Céline

“…•Vision and language integration at two levels, including the semantic level.•A semantic signature that adapts its sparsity to the actual visual content of…”
Get full text

Progressive compression of manifold polygon meshes by Maglo, Adrien, Courbet, Clément, Alliez, Pierre, Hudelot, Céline

“…This paper presents a new algorithm for the progressive compression of manifold polygon meshes. The input surface is decimated by several traversals that…”
Get full text