Recherche - Archive ouverte HAL Accéder directement au contenu

Filtrer vos résultats

120 résultats
Page :
triés par
Image document

A soft k-segments algorithm for principal curves

 Jakob Verbeek , Nikos Vlassis , Ben Krose
International Conference on Artificial Neural Networks, Aug 2001, Vienna, Austria. pp.450-456, ⟨10.1007/3-540-44668-0_63⟩
Communication dans un congrès inria-00321506v1
Image document

Enhancing appearance-based robot localization using sparse disparity maps

 Josep Porta , Jakob Verbeek , Ben Krose
IEEE/RSJ International Conference on Intelligent Robots & Systems (IROS '03), Oct 2003, Las Vegas, United States. pp.980 - 985, ⟨10.1109/IROS.2003.1250755⟩
Communication dans un congrès inria-00321488v2
Image document

Rodent behavior annotation from video

 Jakob Verbeek
[Technical Report] IAS-UVA-05-02, University of Amsterdam. 2005, pp.18
Rapport inria-00548500v1
Image document

Token-level and sequence-level loss smoothing for RNN language models

 Maha Elbayad , Laurent Besacier , Jakob Verbeek
ACL - 56th Annual Meeting of the Association for Computational Linguistics, Jul 2018, Melbourne, Australia. pp.2094-2103
Communication dans un congrès hal-01790879v1
Image document

Frankenstein: Learning Deep Face Representations using Small Data

 Guosheng Hu , Xiaojiang Peng , Yongxin Yang , Timothy Hospedales , Jakob Verbeek
IEEE Transactions on Image Processing, 2018, 27 (1), pp.293-303. ⟨10.1109/TIP.2017.2756450⟩
Article dans une revue hal-01306168v2
Image document

Multimodal semi-supervised learning for image classification

 Matthieu Guillaumin , Jakob Verbeek , Cordelia Schmid
CVPR 2010 - 23rd IEEE Conference on Computer Vision & Pattern Recognition, Jun 2010, San Francisco, United States. pp.902-909, ⟨10.1109/CVPR.2010.5540120⟩
Communication dans un congrès inria-00548640v1
Image document

Category level object segmentation by combining bag-of-words models with Dirichlet processes and random fields

 Diane Larlus , Jakob Verbeek , Frédéric Jurie
International Journal of Computer Vision, 2010, 88 (2), pp.238-253. ⟨10.1007/s11263-009-0245-x⟩
Article dans une revue inria-00439303v2
Image document

Multiple instance metric learning from automatically labeled bags of faces

 Matthieu Guillaumin , Jakob Verbeek , Cordelia Schmid
ECCV 2010 - European Conference on Computer Vision, Sep 2010, Heraklion, Greece. pp.634-647, ⟨10.1007/978-3-642-15549-9_46⟩
Communication dans un congrès inria-00548639v1
Image document

Action and Event Recognition with Fisher Vectors on a Compact Feature Set

 Dan Oneata , Jakob Verbeek , Cordelia Schmid
ICCV - IEEE International Conference on Computer Vision, Dec 2013, Sydney, Australia. pp.1817-1824, ⟨10.1109/ICCV.2013.228⟩
Communication dans un congrès hal-00873662v2
Image document

Distilled Hierarchical Neural Ensembles with Adaptive Inference Cost

 Adrià Ruiz , Jakob Verbeek
2020
Pré-publication, Document de travail hal-02500660v1
Image document

Modeling Spatial Layout with Fisher Vectors for Image Categorization

 Josip Krapac , Jakob Verbeek , Frédéric Jurie
ICCV 2011 - International Conference on Computer Vision, Nov 2011, Barcelona, Spain. pp.1487-1494, ⟨10.1109/ICCV.2011.6126406⟩
Communication dans un congrès inria-00612277v2
Image document

Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction

 Maha Elbayad , Laurent Besacier , Jakob Verbeek
CoNLL 2018 - Conference on Computational Natural Language Learning, Oct 2018, Brussels, Belgium. pp.97-107
Communication dans un congrès hal-01851612v3
Image document

Guided Distillation for Semi-Supervised Instance Segmentation

 Tariq Berrada , Camille Couprie , Karteek Alahari , Jakob Verbeek
WACV 2024 - IEEE/CVF Winter Conference on Applications of Computer Vision, Jan 2024, Waikola, Hawaii, United States. pp.1-11
Communication dans un congrès hal-04341872v1
Image document

Joint Future Semantic and Instance Segmentation Prediction

 Camille Couprie , Pauline Luc , Jakob Verbeek
ECCV Workshop on Anticipating Human Behavior, Sep 2018, Munich, Germany. pp.154-168, ⟨10.1007/978-3-030-11015-4_14⟩
Communication dans un congrès hal-01867746v1
Image document

Learning nonlinear image manifolds by global alignment of local linear models

 Jakob Verbeek
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006, 28 (8), pp.1236--1250. ⟨10.1109/TPAMI.2006.166⟩
Article dans une revue inria-00321131v2
Image document

Scene Segmentation with CRFs Learned from Partially Labeled Images

 Jakob Verbeek , William Triggs
NIPS 2007 - Advances in Neural Information Processing Systems, Dec 2007, Vancouver, Canada. pp.1553-1560
Communication dans un congrès inria-00321051v2
Image document

Learning Color Names for Real-World Applications

 Joost van de Weijer , Cordelia Schmid , Jakob Verbeek , Diane Larlus
IEEE Transactions on Image Processing, 2009, 18 (7), pp.1512-1523. ⟨10.1109/TIP.2009.2019809⟩
Article dans une revue inria-00439284v2
Image document

INRIA-LEARs participation to ImageCLEF 2009

 Matthijs Douze , Matthieu Guillaumin , Thomas Mensink , Cordelia Schmid , Jakob Verbeek
2009
Autre publication scientifique inria-00439299v2
Image document

Efficient greedy learning of Gaussian mixture models

 Jakob Verbeek , Nikos Vlassis , Ben Krose
Neural Computation, 2003, 15 (2), pp.469-485. ⟨10.1162/089976603762553004⟩
Article dans une revue inria-00321487v1
Image document

The global k-means clustering algorithm

 Aristidis Likas , Nikos Vlassis , Jakob Verbeek
Pattern Recognition, 2003, 36 (2), pp.451 - 461. ⟨10.1016/S0031-3203(02)00060-2⟩
Article dans une revue inria-00321493v1
Image document

Locally linear generative topographic mapping

 Jakob Verbeek , Nikos Vlassis , Ben Krose
Benelearn: Annual Machine Learning Conference of Belgium and the Netherlands, Dec 2002, Utrecht, Netherlands. pp.79--86
Communication dans un congrès inria-00321501v1
Image document

Efficient greedy learning of Gaussian mixtures

 Jakob Verbeek , Nikos Vlassis , Ben Krose
The 13th Belgian-Dutch Conference on Artificial Intelligence (BNAIC'01), Oct 2001, Amsterdam, Netherlands. pp.251--258
Communication dans un congrès inria-00321510v1
Image document

The global k-means clustering algorithm

 Aristidis Likas , Nikos Vlassis , Jakob Verbeek
[Technical Report] IAS-UVA-01-02, 2001, pp.12
Rapport inria-00321515v1
Image document

Semi-supervised learning with Gaussian fields

 Jakob Verbeek , Nikos Vlassis
[Technical Report] IAS-UVA-05, 2005, pp.20
Rapport inria-00321480v2
Image document

Circulant temporal encoding for video retrieval and temporal alignment

 Matthijs Douze , Jérôme Revaud , Jakob Verbeek , Hervé Jégou , Cordelia Schmid
International Journal of Computer Vision, 2016, 119 (3), pp.291-306. ⟨10.1007/s11263-015-0875-0⟩
Article dans une revue hal-01162603v2
Image document

Spatial Fisher Vectors for Image Categorization

 Josip Krapac , Jakob Verbeek , Frédéric Jurie
[Research Report] RR-7680, INRIA. 2011
Rapport inria-00613572v1
Image document

Unsupervised Metric Learning for Face Identification in TV Video

 Ramazan Gokberk Cinbis , Jakob Verbeek , Cordelia Schmid
ICCV 2011 - International Conference on Computer Vision, Nov 2011, Barcelona, Spain. pp.1559-1566, ⟨10.1109/ICCV.2011.6126415⟩
Communication dans un congrès inria-00611682v1
Image document

Distance-Based Image Classification: Generalizing to new classes at near-zero cost

 Thomas Mensink , Jakob Verbeek , Florent Perronnin , Gabriela Csurka
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013, 35 (11), pp.2624-2637. ⟨10.1109/TPAMI.2013.83⟩
Article dans une revue hal-00817211v1
Image document

A k-segments algorithm for finding principal curves

 Jakob Verbeek , Nikos Vlassis , Ben Krose
Pattern Recognition Letters, 2002, 23 (8), pp.1009--1017. ⟨10.1016/S0167-8655(02)00032-6⟩
Article dans une revue inria-00321497v1
Image document

Coordinating principal component analyzers

 Jakob Verbeek , Nikos Vlassis , Ben Krose
International Conference on Artificial Neural Networks (ICANN '02), Aug 2002, Madrid, Spain. ⟨10.1007/3-540-46084-5_148⟩
Communication dans un congrès inria-00321498v1
Page :