Diane Larlus
Diane Larlus
Other namesDiane Larlus-Larrondo
Verified email at - Homepage
Cited by
Cited by
Deep image retrieval: Learning global representations for image search
A Gordo, J Almazán, J Revaud, D Larlus
Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016
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
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
Hard negative mixing for contrastive learning
Y Kalantidis, MB Sariyildiz, N Pion, P Weinzaepfel, D Larlus
Neural Information Processing Systems (NeurIPS), 2020
What is a good evaluation measure for semantic segmentation?
G Csurka, D Larlus, F Perronnin
British Machine Vision Conference, 2013
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
The 2005 pascal visual object classes challenge
M Everingham, A Zisserman, CKI Williams, L Van Gool, M Allan, ...
Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual …, 2006
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
Probabilistic embeddings for cross-modal retrieval
S Chun, SJ Oh, RS de Rezende, Y Kalantidis, D Larlus
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Fisher vectors meet neural networks: A hybrid classification architecture
F Perronnin, D Larlus
conference on computer vision and pattern recognition (CVPR), 3743-3752, 2015
Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings
M Wray, D Larlus, G Csurka, D Damen
International Conference in Computer Vision (ICCV), 2019
Learning Visual Representations with Caption Annotations
MB Sariyildiz, J Perez, D Larlus
European Conference on Computer Vision (ECCV), 2020
Neural feature fusion fields: 3d distillation of self-supervised 2d image representations
V Tschernezki, I Laina, D Larlus, A Vedaldi
International Conference on 3D Vision (3DV), 2022
Learning saliency maps for object categorization
F Moosmann, D Larlus, F Jurie
International Workshop on The Representation and Use of Prior Knowledge in …, 2006
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
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
Semi-convolutional Operators for Instance Segmentation
D Novotny, S Albanie, D Larlus, A Vedaldi
Proceedings of the European Conference on Computer Vision (ECCV), 2018
Fake it till you make it: Learning transferable representations from synthetic ImageNet clones
MB Sarıyıldız, K Alahari, D Larlus, Y Kalantidis
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
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
Multi-graph based semi-supervised learning for activity recognition
M Stikic, D Larlus, B Schiele
2009 international symposium on wearable computers, 85-92, 2009
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