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23 résultats
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triés par
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Fast Spectral Ranking for Similarity Search2017
Pré-publication, Document de travail
hal-02370336v1
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Efficient Large-Scale Similarity Search Using Matrix Factorization[Research Report] 8820, INRIA; MCGILL UNIVERSITY. 2015
Rapport
hal-01238242v2
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A comparison of dense region detectors for image search and fine-grained classificationIEEE Transactions on Image Processing, 2015, pp.00. ⟨10.1109/TIP.2015.2423557⟩
Article dans une revue
hal-01143201v1
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Group Testing for Identification with PrivacyACM Workshop on Information Hiding and Multimedia Security, Jun 2016, Vigo, Spain
Communication dans un congrès
hal-01309032v2
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Graph-based Particular Object DiscoveryMachine Vision and Applications, 2019, 30 (2), pp.243-254. ⟨10.1007/s00138-019-01005-z⟩
Article dans une revue
hal-02370238v1
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Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jul 2017, Honolulu, United States
Communication dans un congrès
hal-01505470v1
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Panorama to panorama matching for location recognition2017
Pré-publication, Document de travail
hal-02370230v1
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Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations2016
Pré-publication, Document de travail
hal-02370330v1
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Unsupervised object discovery for instance recognition2017
Pré-publication, Document de travail
hal-02370223v1
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Mining on Manifolds: Metric Learning without LabelsCVPR 2018 - IEEE Computer Vision and Pattern Recognition Conference, Jun 2018, Salt Lake City, United States. pp.1-10
Communication dans un congrès
hal-01843085v1
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Label Propagation for Deep Semi-supervised Learning2019
Pré-publication, Document de travail
hal-02370207v1
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Label Propagation for Deep Semi-supervised LearningCVPR 2019 - IEEE Computer Vision and Pattern Recognition Conference, Jun 2019, Long Beach, United States. pp.1-10
Communication dans un congrès
hal-02370297v1
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Graph Convolutional Networks for Learning with Few Clean and Many Noisy LabelsECCV 2020 - 16th European Conference on Computer Vision, Aug 2020, Virtual, United Kingdom. pp.286-302, ⟨10.1007/978-3-030-58607-2_17⟩
Communication dans un congrès
hal-03047513v1
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Memory vectors for similarity search in high-dimensional spacesIEEE Transactions on Big Data, 2017, 4 (1), pp.65 - 77. ⟨10.1109/TBDATA.2017.2677964⟩
Article dans une revue
hal-01481220v1
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Revisiting Oxford and Paris: Large-Scale Image Retrieval BenchmarkingCVPR 2018 - IEEE Computer Vision and Pattern Recognition Conference, Jun 2018, Salt Lake City, United States. pp.1-10
Communication dans un congrès
hal-01843075v1
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Unsupervised Object Discovery for Instance RecognitionWACV 2018 - IEEE Winter Conference on Applications of Computer Vision, Mar 2018, Lake Tahoe, United States. pp.1-10, ⟨10.1109/WACV.2018.00194⟩
Communication dans un congrès
hal-01842143v1
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Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold Ranking[Research Report] Inria Rennes - Bretagne Atlantique. 2018, pp.1-16
Rapport
hal-01846002v1
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Efficient Large-Scale Similarity Search Using Matrix Factorization2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2016, Las Vegas, United States
Communication dans un congrès
hal-01294736v1
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Scaling Group Testing Similarity SearchACM International Conference on Multimedia Retrieval 2016 , Jun 2016, New York, United States. ⟨10.1145/2911996.2912010⟩
Communication dans un congrès
hal-01304287v1
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Fast Spectral Ranking for Similarity SearchCVPR 2018 - IEEE Computer Vision and Pattern Recognition Conference, Jun 2018, Salt Lake City, United States. pp.1-10
Communication dans un congrès
hal-01839744v1
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Panorama to panorama matching for location recognitionACM International Conference on Multimedia Retrieval (ICMR) 2017, Jun 2017, Bucharest, Romania. ⟨10.1145/3078971.3079033⟩
Communication dans un congrès
hal-01511793v1
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Hybrid Diffusion: Spectral-Temporal Graph Filtering for Manifold RankingACCV 2018 - Asian Conference on Computer Vision, Dec 2018, Perth, Australia. pp.1-16
Communication dans un congrès
hal-01909348v2
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Graph Convolutional Networks for Learning with Few Clean and many Noisy Labels2019
Pré-publication, Document de travail
hal-02370212v1
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