Jakob J. Verbeek

According to our database1, Jakob J. Verbeek authored at least 88 papers between 2001 and 2018.

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Bibliography

2018
Frankenstein: Learning Deep Face Representations Using Small Data.
IEEE Trans. Image Processing, 2018

Scene Coordinate Regression with Angle-Based Reprojection Loss for Camera Relocalization.
CoRR, 2018

Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction.
CoRR, 2018

Mixed batches and symmetric discriminators for GAN training.
CoRR, 2018

Token-level and sequence-level loss smoothing for RNN language models.
CoRR, 2018

Predicting Future Instance Segmentations by Forecasting Convolutional Features.
CoRR, 2018

Mixed batches and symmetric discriminators for GAN training.
Proceedings of the 35th International Conference on Machine Learning, 2018

Predicting Future Instance Segmentation by Forecasting Convolutional Features.
Proceedings of the Computer Vision - ECCV 2018, 2018

FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Token-level and sequence-level loss smoothing for RNN language models.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Auxiliary Guided Autoregressive Variational Autoencoders.
CoRR, 2017

Dynamic Filters in Graph Convolutional Networks.
CoRR, 2017

Predicting Deeper into the Future of Semantic Segmentation.
CoRR, 2017

Areas of Attention for Image Captioning.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Predicting Deeper into the Future of Semantic Segmentation.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Approximate Fisher Kernels of Non-iid Image Models for Image Categorization.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

A Robust and Efficient Video Representation for Action Recognition.
International Journal of Computer Vision, 2016

Circulant Temporal Encoding for Video Retrieval and Temporal Alignment.
International Journal of Computer Vision, 2016

Convolutional Neural Fabrics.
CoRR, 2016

Areas of Attention for Image Captioning.
CoRR, 2016

Semantic Segmentation using Adversarial Networks.
CoRR, 2016

Frankenstein: Learning Deep Face Representations using Small Data.
CoRR, 2016

Convolutional Neural Fabrics.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Heterogeneous Face Recognition with CNNs.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Machine learning solutions to visual recognition problems.
, 2016

2015
A robust and efficient video representation for action recognition.
CoRR, 2015

Circulant temporal encoding for video retrieval and temporal alignment.
CoRR, 2015

Approximate Fisher Kernels of non-iid Image Models for Image Categorization.
CoRR, 2015

Weakly Supervised Object Localization with Multi-fold Multiple Instance Learning.
CoRR, 2015

Coordinated Local Metric Learning.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Patch-Level Spatial Layout for Classification and Weakly Supervised Localization.
Proceedings of the Pattern Recognition - 37th German Conference, 2015

2014
Spatio-temporal Object Detection Proposals.
Proceedings of the Computer Vision - ECCV 2014, 2014

Efficient Action Localization with Approximately Normalized Fisher Vectors.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Multi-fold MIL Training for Weakly Supervised Object Localization.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets.
Proceedings of the Advanced Topics in Computer Vision, 2013

Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Tree-Structured CRF Models for Interactive Image Labeling.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Image Classification with the Fisher Vector: Theory and Practice.
International Journal of Computer Vision, 2013


Action and Event Recognition with Fisher Vectors on a Compact Feature Set.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Segmentation Driven Object Detection with Fisher Vectors.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Face Recognition from Caption-Based Supervision.
International Journal of Computer Vision, 2012

Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost.
Proceedings of the Computer Vision - ECCV 2012, 2012

Fusion of Speech, Faces and Text for Person Identification in TV Broadcast.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Image categorization using Fisher kernels of non-iid image models.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Modeling spatial layout with fisher vectors for image categorization.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Unsupervised metric learning for face identification in TV video.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Learning structured prediction models for interactive image labeling.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Learning Tree-structured Quantizers for Image Categorization.
Proceedings of the British Machine Vision Conference, 2011

2010
Accurate Image Search Using the Contextual Dissimilarity Measure.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Category Level Object Segmentation by Combining Bag-of-Words Models with Dirichlet Processes and Random Fields.
International Journal of Computer Vision, 2010

Image annotation with tagprop on the MIRFLICKR set.
Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

Multiple Instance Metric Learning from Automatically Labeled Bags of Faces.
Proceedings of the Computer Vision, 2010

EP for Efficient Stochastic Control with Obstacles.
Proceedings of the ECAI 2010, 2010

Improving web image search results using query-relative classifiers.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Multimodal semi-supervised learning for image classification.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

LEAR and XRCE's Participation to Visual Concept Detection Task - ImageCLEF 2010.
Proceedings of the CLEF 2010 LABs and Workshops, 2010

Trans Media Relevance Feedback for Image Autoannotation.
Proceedings of the British Machine Vision Conference, 2010

2009
Learning Color Names for Real-World Applications.
IEEE Trans. Image Processing, 2009

Is that you? Metric learning approaches for face identification.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

TagProp: Discriminative metric learning in nearest neighbor models for image auto-annotation.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

INRIA-LEAR's Participation in ImageCLEF 2009.
Proceedings of the Working Notes for CLEF 2009 Workshop co-located with the 13th European Conference on Digital Libraries (ECDL 2009) , Corfù, Greece, September 30, 2009

Ranking User-annotated Images for Multiple Query Terms.
Proceedings of the British Machine Vision Conference, 2009

2008
Semi-Supervised Dimensionality Reduction Using Pairwise Equivalence Constraints.
Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

Improving People Search Using Query Expansions.
Proceedings of the Computer Vision, 2008

Automatic face naming with caption-based supervision.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Scene Segmentation with CRFs Learned from Partially Labeled Images.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Using High-Level Visual Information for Color Constancy.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Learning Color Names from Real-World Images.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Region Classification with Markov Field Aspect Models.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006
Gaussian fields for semi-supervised regression and correspondence learning.
Pattern Recognition, 2006

Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Accelerated EM-based clustering of large data sets.
Data Min. Knowl. Discov., 2006

Transformation invariant component analysis for binary images.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Self-organizing mixture models.
Neurocomputing, 2005

Active Appearance-Based Robot Localization Using Stereo Vision.
Auton. Robots, 2005

2004
Mixture models for clustering and dimension reduction.
PhD thesis, 2004

2003
The global k-means clustering algorithm.
Pattern Recognition, 2003

Efficient Greedy Learning of Gaussian Mixture Models.
Neural Computation, 2003

Non-linear CCA and PCA by Alignment of Local Models.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Enhancing appearance-based robot localization using sparse disparity maps.
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003

Self-Organization by Optimizing Free-Energy.
Proceedings of the ESANN 2003, 2003

2002
A k-segments algorithm for finding principal curves.
Pattern Recognition Letters, 2002

Coordinating Principal Component Analyzers.
Proceedings of the Artificial Neural Networks, 2002

Fast nonlinear dimensionality reduction with topology representing networks.
Proceedings of the ESANN 2002, 2002

2001
A Soft k-Segments Algorithm for Principal Curves.
Proceedings of the Artificial Neural Networks, 2001


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