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Alexandre Benoit
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Documents
Identifiants chercheurs
- alexandre-benoit
- 0000-0002-0627-4948
- IdRef : 118249711
Présentation
Currently working on pattern recognition in the context of video sequences and remote sensing images analysis. My activities cover image and video content low level description to high semantic level concepts recognition. Many topics involved, image filtering, visual features extraction, multimodal data fusion & clustering.
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IRIM at TRECVID 2017: Instance SearchTRECVid workshop 2017, Nov 2017, Gaithersburg, Maryland, United States
Communication dans un congrès
hal-01834223v1
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IRIM at TRECVID 2016: Instance SearchTRECVid workshop 2016, National Institute of Standards and Technology (NIST), Nov 2016, Gaithersburg, Maryland, United States
Communication dans un congrès
hal-01416953v1
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IRIM at TRECVID 2012: Semantic Indexing and Instance SearchTRECVID - TREC Video Retrieval Evaluation workshop, Nov 2012, Gaithersburg, MD, United States. 12p
Communication dans un congrès
hal-00770258v1
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Hierarchical Late Fusion for Concept Detection in VideosECCV 2012 - 12th European Conference on Computer Vision, Oct 2012, Firenze, Italy. pp.335-344, ⟨10.1007/978-3-642-33885-4_34⟩
Communication dans un congrès
hal-00732740v1
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IRIM at TRECVID 2011: Semantic Indexing and Instance SearchTRECVID 2011 - TREC Video Retrieval Evaluation Online, Nov 2011, Gaithersburg, MD, United States. 12p
Communication dans un congrès
hal-00677651v1
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IRIM at TRECVID 2010: Semantic Indexing and Instance SearchTRECVID 2010 - TREC Video Retrieval Evaluation workshop, Nov 2010, Gaithersburg, MD, United States
Communication dans un congrès
hal-00591099v1
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IRIM at TRECVID 2010: High Level Feature Extraction and Instance SearchTREC Video Retrieval Evaluation workshop, 2010, Gaithersburg, MD, United States
Communication dans un congrès
hal-00953839v1
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Hierarchical Late Fusion for Concept Detection in VideosFusion in Computer Vision: Understanding Complex Visual Content, Springer international publishing, pp.53-78, 2014
Chapitre d'ouvrage
hal-00981688v1
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