Diane Larlus
Diane Larlus
Senior Scientist, NAVER LABS Europe
Verified email at naverlabs.com - Homepage
TitleCited byYear
Learning color names for real-world applications
J Van De Weijer, C Schmid, J Verbeek, D Larlus
IEEE Transactions on Image Processing 18 (7), 1512-1523, 2009
5862009
Deep image retrieval: Learning global representations for image search
A Gordo, J Almazán, J Revaud, D Larlus
European conference on computer vision, 241-257, 2016
3732016
Assessing the aesthetic quality of photographs using generic image descriptors
L Marchesotti, F Perronnin, D Larlus, G Csurka
2011 International Conference on Computer Vision, 1784-1791, 2011
3182011
The 2005 pascal visual object classes challenge
M Everingham, A Zisserman, CKI Williams, L Van Gool, M Allan, ...
Machine Learning Challenges Workshop, 117-176, 2005
2642005
End-to-end learning of deep visual representations for image retrieval
A Gordo, J Almazan, J Revaud, D Larlus
International Journal of Computer Vision 124 (2), 237-254, 2017
1842017
Fisher vectors meet neural networks: A hybrid classification architecture
F Perronnin, D Larlus
Proceedings of the IEEE conference on computer vision and pattern …, 2015
1412015
Weakly supervised recognition of daily life activities with wearable sensors
M Stikic, D Larlus, S Ebert, B Schiele
IEEE transactions on pattern analysis and machine intelligence 33 (12), 2521 …, 2011
1402011
What is a good evaluation measure for semantic segmentation?
G Csurka, D Larlus, F Perronnin
British Machine Vision Conference, 2013
1172013
Category level object segmentation by combining bag-of-words models with dirichlet processes and random fields
D Larlus, J Verbeek, F Jurie
International Journal of Computer Vision 88 (2), 238-253, 2010
116*2010
Learning saliency maps for object categorization
F Moosmann, D Larlus, F Jurie
International Workshop on The Representation and Use of Prior Knowledge in …, 2006
992006
Combining appearance models and markov random fields for category level object segmentation
D Larlus, F Jurie
2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-7, 2008
942008
Data driven localization using task-dependent representations
JA Rodriguez-Serrano, D Larlus-Larrondo
US Patent 9,158,995, 2015
692015
Latent mixture vocabularies for object categorization
D Larlus, F Jurie
682006
Multi-graph based semi-supervised learning for activity recognition
M Stikic, D Larlus, B Schiele
2009 International Symposium on Wearable Computers, 85-92, 2009
582009
Latent mixture vocabularies for object categorization and segmentation
D Larlus, F Jurie
Image and Vision Computing 27 (5), 523-534, 2009
512009
Re-id done right: towards good practices for person re-identification
J Almazan, B Gajic, N Murray, D Larlus
arXiv preprint arXiv:1801.05339, 2018
412018
Extracting structures in image collections for object recognition
S Ebert, D Larlus, B Schiele
European Conference on Computer Vision, 720-733, 2010
402010
Learning 3D Object Categories by Looking Around Them
D Novotny, D Larlus, A Vedaldi
Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017
382017
Beyond instance-level image retrieval: Leveraging captions to learn a global visual representation for semantic retrieval
A Gordo, D Larlus
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017
342017
Predicting the quality of automatic translation of an entire document
JM Andreoli, D Larlus-Larrondo, JL Meunier
US Patent 9,606,988, 2017
272017
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