Diane Larlus

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

◀ ▶ joint publications with Jon Almazán

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Publications

2022
[j9]
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Yannis Kalantidis, Carlos Eduardo Rosar Kós Lassance, Jon Almazán, Diane Larlus:
TLDR: Twin Learning for Dimensionality Reduction. Trans. Mach. Learn. Res. 2022 (2022)
[c34]
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Jon Almazán, ByungSoo Ko, Geonmo Gu, Diane Larlus, Yannis Kalantidis:
Granularity-Aware Adaptation for Image Retrieval Over Multiple Tasks. ECCV (14) 2022: 389-406
[i24]
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  - journals/corr/abs-2210-02254
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Jon Almazán, ByungSoo Ko, Geonmo Gu, Diane Larlus, Yannis Kalantidis:
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks. CoRR abs/2210.02254 (2022)
2021
[i21]
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  - journals/corr/abs-2110-09455
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Yannis Kalantidis, Carlos Lassance, Jon Almazán, Diane Larlus:
TLDR: Twin Learning for Dimensionality Reduction. CoRR abs/2110.09455 (2021)
2018
[i12]
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  - journals/corr/abs-1801-05339
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Jon Almazán, Bojana Gajic, Naila Murray, Diane Larlus:
Re-ID done right: towards good practices for person re-identification. CoRR abs/1801.05339 (2018)
2017
[j7]
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  - journals/ijcv/GordoARL17
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Albert Gordo, Jon Almazán, Jérôme Revaud, Diane Larlus:
End-to-End Learning of Deep Visual Representations for Image Retrieval. Int. J. Comput. Vis. 124(2): 237-254 (2017)
2016
[c15]
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Albert Gordo, Jon Almazán, Jérôme Revaud, Diane Larlus:
Deep Image Retrieval: Learning Global Representations for Image Search. ECCV (6) 2016: 241-257
[i7]
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  - journals/corr/CsurkaLGA16
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Gabriela Csurka, Diane Larlus, Albert Gordo, Jon Almazán:
What is the right way to represent document images? CoRR abs/1603.01076 (2016)
[i6]
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Albert Gordo, Jon Almazán, Jérôme Revaud, Diane Larlus:
Deep Image Retrieval: Learning global representations for image search. CoRR abs/1604.01325 (2016)
[i4]
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  - journals/corr/GordoARL16a
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Albert Gordo, Jon Almazán, Jérôme Revaud, Diane Larlus:
End-to-end Learning of Deep Visual Representations for Image Retrieval. CoRR abs/1610.07940 (2016)

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