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Category level object segmentation by combining bag-of-words models with Dirichlet processes and random fieldsInternational Journal of Computer Vision, 2010, 88 (2), pp.238-253. ⟨10.1007/s11263-009-0245-x⟩
Journal articles
inria-00439303v2
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Concept Generalization in Visual Representation LearningICCV 2021 - International Conference on Computer Vision, Oct 2021, Virtual, Canada
Conference papers
hal-03110632v2
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Color NamesTheo Gevers and Arjan Gijsenij and Joost van de Weijer and Jan-Mark Geusebroek. Color in Computer Vision, Wiley, pp.11-43, 2012, The Wiley-IS&T Series in Imaging Science and Technology, 978-0-470-89084-4
Book sections
hal-00640930v1
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A Supervised Clustering Algorithm for the Initialization of RBF Neural Network ClassifiersSIU '07 - 15th Signal Processing and Communications Applications, Jun 2007, Eskisehir, Turkey. pp.1-4, ⟨10.1109/SIU.2007.4298803⟩
Conference papers
hal-00203762v1
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On the Road to Online Adaptation for Semantic Image Segmentation2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, pp.19162-19173, 2022, ⟨10.1109/CVPR52688.2022.01859⟩
Book sections
hal-04044280v1
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Category level object segmentation - learning to segment objects with latent aspect modelsVISAPP - 2nd International Conference on Computer Vision Theory and Applications, Mar 2007, Barcelona, Spain. pp.122-127
Conference papers
inria-00548681v1
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Fake it till you make it: Learning transferable representations from synthetic ImageNet clonesCVPR 2023 - IEEE/CVF Conference on Computer Vision and Pattern Recognition, Jun 2023, Vancouver, Canada. pp.1-11
Conference papers
hal-03916262v2
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Category level object segmentation by combining bag-of-words models and Markov Random Fields[Research Report] RR-6668, INRIA. 2008, pp.31
Reports
inria-00333121v2
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Manifold based local classifiers: linear and nonlinear approachesJournal of Signal Processing Systems, 2010, 61 (1), pp.61-73. ⟨10.1007/s11265-008-0313-4⟩
Journal articles
hal-00565007v1
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Treasure hunting for humanoids robotHumanoids, Dec 2008, Daejeon, South Korea
Conference papers
lirmm-00800956v1
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Combining Appearance Models and Markov Random Fields for Category Level Object SegmentationCVPR 2008 - IEEE Conference on Computer Vision & Pattern Recognition, Jun 2008, Anchorage, United States. pp.1-7, ⟨10.1109/CVPR.2008.4587453⟩
Conference papers
inria-00548660v1
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Learning saliency maps for object categorizationInternational Workshop on The Representation and Use of Prior Knowledge in Vision (in ECCV '06), May 2006, Graz, Austria
Conference papers
hal-00203726v1
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Création et utilisation de vocabulaires visuels pour la catégorisation d'images et la segmentation de classes d'objetsInterface homme-machine [cs.HC]. Institut National Polytechnique de Grenoble - INPG, 2008. Français. ⟨NNT : ⟩
Theses
tel-00343665v1
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Granularity-Aware Adaptation for Image Retrieval Over Multiple TasksComputer Vision – ECCV 2022. Lecture Notes in Computer Science, 13674, Springer Nature, pp.389-406, 2022, 978-3-031-19780-2. ⟨10.1007/978-3-031-19781-9_23⟩
Book sections
hal-04041564v1
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Évaluation automatique de la qualité esthétique des photographies à l'aide de descripteurs d'images génériquesRFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Jan 2012, Lyon, France. pp.978-2-9539515-2-3
Conference papers
hal-00656535v1
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Latent mixture vocabularies for object categorization and segmentationImage and Vision Computing, 2009, The 17th British Machine Vision Conference (BMVC 2006), 27 (5), pp.523-534. ⟨10.1016/j.imavis.2008.04.022⟩
Journal articles
inria-00548649v1
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Segmentation de catégories d'objets par combinaison d'un modèle d'apparence et d'un champs de MarkovRFIA 2008 - Reconnaissance des Formes et Intelligence Artificielle, Jan 2008, Amiens, France
Conference papers
inria-00548658v1
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No Reason for No Supervision: Improved Generalization in Supervised ModelsICLR 2023 - International Conference on Learning Representations, May 2023, Kigali, Rwanda. pp.1-26
Conference papers
hal-03929621v2
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Création de Vocabulaires Visuels Efficaces pour la Catégorisation d'ImagesSynthèse d'image et réalité virtuelle [cs.GR]. 2005
Master thesis
inria-00598473v1
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Création de Vocabulaires Visuels Efficaces pour la Catégorisation d'ImagesReconnaissance des Formes et Intelligence Artificielle (RFIA '06), Jan 2006, Tours, France
Conference papers
hal-00203624v1
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The 2005 PASCAL Visual Object Classes ChallengeFirst PASCAL Machine Learning Challenges Workshop (MLCW '05), Apr 2005, Southampton, United Kingdom. pp.117--176, ⟨10.1007/11736790_8⟩
Conference papers
inria-00548597v1
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Segmentation de catégories d'objets par combinaison d'un modèle d'apparence et d'un champ de MarkovRevue I3 - Information Interaction Intelligence, 2008, 8 (2)
Journal articles
inria-00548667v1
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Towards Autonomous Object Reconstruction for Visual Search by the Humanoid Robot HRP-2Humanoids, Nov 2007, Pittsburgh, United States. pp.151-158, ⟨10.1109/ICHR.2007.4813862⟩
Conference papers
inria-00548676v1
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TLDR: Twin Learning for Dimensionality Reduction2022
Preprints, Working Papers, ...
hal-04041621v1
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Local Subspace Classifiers: Linear and Nonlinear ApproachesMLSP 2007 - IEEE Workshop on Machine Learning for Signal Processing, Aug 2007, Thessaloniki, Greece. pp.57-62, ⟨10.1109/MLSP.2007.4414282⟩
Conference papers
hal-00203992v1
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Learning Color Names for Real-World ApplicationsIEEE Transactions on Image Processing, 2009, 18 (7), pp.1512-1523. ⟨10.1109/TIP.2009.2019809⟩
Journal articles
inria-00439284v2
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