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10 résultats
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triés par
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Conjugate Mixture Models for the Modeling of Visual and Auditory PerceptionHuman-Computer Interaction [cs.HC]. Université Joseph-Fourier - Grenoble I, 2010. English. ⟨NNT : ⟩
Thèse
tel-00584080v2
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Conjugate Mixture Models for Clustering Multimodal DataNeural Computation, 2011, 23 (2), pp.517-557. ⟨10.1162/NECO_a_00074⟩
Article dans une revue
inria-00590267v1
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Conjugate Mixture Models for Clustering Multimodal Data[Research Report] RR-7117, INRIA. 2009, pp.36
Rapport
inria-00436468v1
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Calibration of A Binocular-Binaural Sensor Using a Moving Audio-Visual Target[Research Report] RR-7865, INRIA. 2012, pp.27
Rapport
hal-00662306v1
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Alignment of Binocular-Binaural Data Using a Moving Audio-Visual TargetMMSP 2013 - IEEE International Workshop on Multimedia Signal Processing, IEEE Signal Processing Society, Sep 2013, Pula (Sardinia), Italy. pp.242-247, ⟨10.1109/MMSP.2013.6659295⟩
Communication dans un congrès
hal-00861482v3
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Finding Audio-Visual Events in Informal Social GatheringsACM/IEEE International Conference on Multimodal Interaction, Nov 2011, Alicante, Spain. pp.247-254, ⟨10.1145/2070481.2070527⟩
Communication dans un congrès
inria-00623489v2
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Audio-Visual Clustering for Multiple Speaker LocalizationMLMI 2008 - International Workshop on Machine Learning for Multimodal Interaction, Sep 2008, Utrecht, Netherlands. pp.86-97, ⟨10.1007/978-3-540-85853-9_8⟩
Communication dans un congrès
inria-00373154v1
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Detection and Localization of 3D Audio-Visual Objects Using Unsupervised ClusteringICMI 2008 - ACM/IEEE International Conference on Multimodal Interfaces, Oct 2008, Chania, Greece. pp.217-224, ⟨10.1145/1452392.1452438⟩
Communication dans un congrès
inria-00373148v1
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The CAVA corpus: synchronised stereoscopic and binaural datasets with head movementsICMI 2008 - ACM/IEEE International Conference on Multimodal Interfaces, Oct 2008, Chania, Greece. pp.109-116, ⟨10.1145/1452392.1452414⟩
Communication dans un congrès
inria-00373173v1
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DINOv2: Learning Robust Visual Features without Supervision2024
Pré-publication, Document de travail
hal-04376640v2
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