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Jakob Verbeek
Jakob Verbeek
Meta AI
Verifierad e-postadress på inria.fr - Startsida
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The global k-means clustering algorithm
A Likas, N Vlassis, J J Verbeek
Pattern recognition 36 (2), 451-461, 2003
31782003
Image classification with the Fisher vector: Theory and practice
J Sánchez, F Perronnin, T Mensink, J Verbeek
International journal of computer vision (IJCV) 105 (3), 222-245, 2013
17832013
Is that you? Metric learning approaches for face identification
M Guillaumin, J Verbeek, C Schmid
International Conference on Computer Vision (ICCV), 2009
10312009
Tagprop: Discriminative metric learning in nearest neighbor models for image auto-annotation
M Guillaumin, T Mensink, J Verbeek, C Schmid
International Conference on Computer Vision (ICCV), 2009
8602009
Learning color names for real-world applications
J Van De Weijer, C Schmid, J Verbeek, D Larlus
IEEE Transactions on Image Processing (TIP) 18 (7), 1512-1523, 2009
8212009
Semantic segmentation using adversarial networks
P Luc, C Couprie, S Chintala, J Verbeek
NeurIPS 2016 Workshop on Adversarial Training, 2016
7902016
Multimodal semi-supervised learning for image classification
M Guillaumin, J Verbeek, C Schmid
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2010
5322010
Efficient greedy learning of Gaussian mixture models
JJ Verbeek, N Vlassis, B Kröse
Neural computation 15 (2), 469-485, 2003
4832003
Action and event recognition with fisher vectors on a compact feature set
D Oneata, J Verbeek, C Schmid
International Conference on Computer Vision (ICCV), 2013
4802013
Weakly supervised object localization with multi-fold multiple instance learning
RG Cinbis, J Verbeek, C Schmid
Transactions on Pattern Analysis and Machine Intelligence (PAMI) 39 (1), 189-203, 2016
4592016
Distance-Based Image Classification: Generalizing to New Classes at Near Zero Cost
T Mensink, J Verbeek, F Perronnin, G Csurka
Transactions on Pattern Analysis and Machine Intelligence (PAMI) 35 (11 …, 2013
4092013
Metric learning for large scale image classification: Generalizing to new classes at near-zero cost
T Mensink, J Verbeek, F Perronnin, G Csurka
European Conference on Computer Vision (ECCV), 2012
3422012
A robust and efficient video representation for action recognition
H Wang, D Oneata, J Verbeek, C Schmid
International journal of computer vision (IJCV) 119 (3), 219-238, 2016
3312016
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
N Verma, E Boyer, J Verbeek
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
3142018
Areas of Attention for Image Captioning
M Pedersoli, T Lucas, C Schmid, J Verbeek
International Conference on Computer Vision (ICCV), 2017
297*2017
Region classification with Markov field aspect models
J Verbeek, B Triggs
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007
2912007
Multi-fold MIL training for weakly supervised object localization
R Gokberk Cinbis, J Verbeek, C Schmid
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2409-2416, 2014
2622014
Predicting deeper into the future of semantic segmentation
P Luc, N Neverova, C Couprie, J Verbeek, Y LeCun
International Conference on Computer Vision (ICCV), 2017
2592017
Accurate image search using the contextual dissimilarity measure
H Jegou, C Schmid, H Harzallah, J Verbeek
Transactions on Pattern Analysis and Machine Intelligence (PAMI) 32 (1), 2-11, 2010
2592010
Learning color names from real-world images
J Van De Weijer, C Schmid, J Verbeek
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2007
2572007
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Artiklar 1–20