Jakob Verbeek

According to our database, Jakob Verbeek authored at least 125 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Improved Baselines for Data-efficient Perceptual Augmentation of LLMs.

Théophane Vallaeys, Mustafa Shukor, Matthieu Cord, Jakob Verbeek

CoRR, 2024

Better (pseudo-)labels for semi-supervised instance segmentation.

François Porcher, Camille Couprie, Marc Szafraniec, Jakob Verbeek

CoRR, 2024

Residual Quantization with Implicit Neural Codebooks.

Iris A. M. Huijben, Matthijs Douze, Matthew J. Muckley, Ruud van Sloun, Jakob Verbeek

CoRR, 2024

Guided Distillation for Semi-Supervised Instance Segmentation.

Tariq Berrada, Camille Couprie, Karteek Alahari, Jakob Verbeek

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training.

Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Gautier Izacard, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Image Compression with Product Quantized Masked Image Modeling.

Alaaeldin El-Nouby, Matthew J. Muckley, Karen Ullrich, Ivan Laptev, Jakob Verbeek, Hervé Jégou

Trans. Mach. Learn. Res., 2023

Unlocking Pre-trained Image Backbones for Semantic Image Synthesis.

Tariq Berrada, Jakob Verbeek, Camille Couprie, Karteek Alahari

CoRR, 2023

Towards image compression with perfect realism at ultra-low bitrates.

Marlène Careil, Matthew J. Muckley, Jakob Verbeek, Stéphane Lathuilière

CoRR, 2023

Multi-Domain Learning with Modulation Adapters.

Ekaterina Iakovleva, Karteek Alahari, Jakob Verbeek

CoRR, 2023

Improved baselines for vision-language pre-training.

Enrico Fini, Pietro Astolfi, Adriana Romero-Soriano, Jakob Verbeek, Michal Drozdzal

CoRR, 2023

Controllable Image Generation via Collage Representations.

Arantxa Casanova, Marlène Careil, Adriana Romero-Soriano, Christopher J. Pal, Jakob Verbeek, Michal Drozdzal

CoRR, 2023

Are Visual Recognition Models Robust to Image Compression?

João Maria Janeiro, Stanislav Frolov, Alaaeldin El-Nouby, Jakob Verbeek

CoRR, 2023

Instance-Conditioned GAN Data Augmentation for Representation Learning.

Pietro Astolfi, Arantxa Casanova, Jakob Verbeek, Pascal Vincent, Adriana Romero-Soriano, Michal Drozdzal

CoRR, 2023

Improving Statistical Fidelity for Neural Image Compression with Implicit Local Likelihood Models.

Matthew J. Muckley, Alaaeldin El-Nouby, Karen Ullrich, Hervé Jégou, Jakob Verbeek

Proceedings of the International Conference on Machine Learning, 2023

DiffEdit: Diffusion-based semantic image editing with mask guidance.

Guillaume Couairon, Jakob Verbeek, Holger Schwenk, Matthieu Cord

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Zero-shot spatial layout conditioning for text-to-image diffusion models.

Guillaume Couairon, Marlène Careil, Matthieu Cord, Stéphane Lathuilière, Jakob Verbeek

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Co-training 2L Submodels for Visual Recognition.

Hugo Touvron, Matthieu Cord, Maxime Oquab, Piotr Bojanowski, Jakob Verbeek, Hervé Jégou

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Few-shot Semantic Image Synthesis with Class Affinity Transfer.

Marlène Careil, Jakob Verbeek, Stéphane Lathuilière

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Co-training 2^L Submodels for Visual Recognition.

Hugo Touvron, Matthieu Cord, Maxime Oquab, Piotr Bojanowski, Jakob Verbeek, Hervé Jégou

CoRR, 2022

Three Things Everyone Should Know About Vision Transformers.

Hugo Touvron, Matthieu Cord, Alaaeldin El-Nouby, Jakob Verbeek, Hervé Jégou

Proceedings of the Computer Vision, 2022

Unifying Conditional and Unconditional Semantic Image Synthesis with OCO-GAN.

Marlène Careil, Stéphane Lathuilière, Camille Couprie, Jakob Verbeek

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

FlexIT: Towards Flexible Semantic Image Translation.

Guillaume Couairon, Asya Grechka, Jakob Verbeek, Holger Schwenk, Matthieu Cord

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Joint source-target encoding with pervasive attention.

Maha Elbayad, Laurent Besacier, Jakob Verbeek

Mach. Transl., 2021

XCiT: Cross-Covariance Image Transformers.

Alaaeldin El-Nouby, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou

CoRR, 2021

ResMLP: Feedforward networks for image classification with data-efficient training.

Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou

CoRR, 2021

DualConv: Dual Mesh Convolutional Networks for Shape Correspondence.

Nitika Verma, Adnane Boukhayma, Jakob Verbeek, Edmond Boyer

CoRR, 2021

Instance-Conditioned GAN.

Arantxa Casanova, Marlène Careil, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

XCiT: Cross-Covariance Image Transformers.

Alaaeldin Ali, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Anytime Inference with Distilled Hierarchical Neural Ensembles.

Adria Ruiz, Jakob Verbeek

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Dual Mesh Convolutional Networks for Human Shape Correspondence.

Nitika Verma, Adnane Boukhayma, Edmond Boyer, Jakob Verbeek

Proceedings of the International Conference on 3D Vision, 2021

2020

Distilled Hierarchical Neural Ensembles with Adaptive Inference Cost.

Adria Ruiz, Jakob Verbeek

CoRR, 2020

Efficient Wait-k Models for Simultaneous Machine Translation.

Maha Elbayad, Laurent Besacier, Jakob Verbeek

Proceedings of the Interspeech 2020, 2020

Meta-Learning with Shared Amortized Variational Inference.

Ekaterina Iakovleva, Jakob Verbeek, Karteek Alahari

Proceedings of the 37th International Conference on Machine Learning, 2020

Discrete Point Flow Networks for Efficient Point Cloud Generation.

Roman Klokov, Edmond Boyer, Jakob Verbeek

Proceedings of the Computer Vision - ECCV 2020, 2020

Hierarchical Scene Coordinate Classification and Regression for Visual Localization.

Xiaotian Li, Shuzhe Wang, Yi Zhao, Jakob Verbeek, Juho Kannala

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Online Versus Offline NMT Quality: An In-depth Analysis on English-German and German-English.

Maha Elbayad, Michael Ustaszewski, Emmanuelle Esperança-Rodier, Francis Brunet-Manquat, Jakob Verbeek, Laurent Besacier

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Hierarchical Joint Scene Coordinate Classification and Regression for Visual Localization.

Xiaotian Li, Jakob Verbeek, Juho Kannala

CoRR, 2019

Learning Disentangled Representations with Reference-Based Variational Autoencoders.

Adria Ruiz, Oriol Martínez, Xavier Binefa, Jakob Verbeek

CoRR, 2019

Coverage and Quality Driven Training of Generative Image Models.

Konstantin Shmelkov, Thomas Lucas, Karteek Alahari, Cordelia Schmid, Jakob Verbeek

CoRR, 2019

Adaptive Density Estimation for Generative Models.

Thomas Lucas, Konstantin Shmelkov, Karteek Alahari, Cordelia Schmid, Jakob Verbeek

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Understanding Priors in Bayesian Neural Networks at the Unit Level.

Mariia Vladimirova, Jakob Verbeek, Pablo Mesejo, Julyan Arbel

Proceedings of the 36th International Conference on Machine Learning, 2019

Adaptative Inference Cost With Convolutional Neural Mixture Models.

Adria Ruiz, Jakob Verbeek

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Probabilistic Reconstruction Networks for 3D Shape Inference from a Single Image.

Roman Klokov, Jakob Verbeek, Edmond Boyer

Proceedings of the 30th British Machine Vision Conference 2019, 2019

2018

Frankenstein: Learning Deep Face Representations Using Small Data.

Guosheng Hu, Xiaojiang Peng, Yongxin Yang, Timothy M. Hospedales, Jakob Verbeek

IEEE Trans. Image Process., 2018

Sparse weakly supervised models for object localization in road environment.

Valentina Zadrija, Josip Krapac, Sinisa Segvic, Jakob Verbeek

Comput. Vis. Image Underst., 2018

Predicting Future Instance Segmentations by Forecasting Convolutional Features.

Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek

CoRR, 2018

Auxiliary Guided Autoregressive Variational Autoencoders.

Thomas Lucas, Jakob Verbeek

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Mixed batches and symmetric discriminators for GAN training.

Thomas Lucas, Corentin Tallec, Yann Ollivier, Jakob Verbeek

Proceedings of the 35th International Conference on Machine Learning, 2018

Predicting Future Instance Segmentation by Forecasting Convolutional Features.

Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek

Proceedings of the Computer Vision - ECCV 2018, 2018

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

Xiaotian Li, Juha Ylioinas, Jakob Verbeek, Juho Kannala

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Joint Future Semantic and Instance Segmentation Prediction.

Camille Couprie, Pauline Luc, Jakob Verbeek

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis.

Nitika Verma, Edmond Boyer, Jakob Verbeek

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

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

Maha Elbayad, Laurent Besacier, Jakob Verbeek

Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

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

Maha Elbayad, Laurent Besacier, Jakob Verbeek

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning.

Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Dynamic Filters in Graph Convolutional Networks.

Nitika Verma, Edmond Boyer, Jakob Verbeek

CoRR, 2017

Areas of Attention for Image Captioning.

Marco Pedersoli, Thomas Lucas, Cordelia Schmid, Jakob Verbeek

Proceedings of the IEEE International Conference on Computer Vision, 2017

Predicting Deeper into the Future of Semantic Segmentation.

Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek, Yann LeCun

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Approximate Fisher Kernels of Non-iid Image Models for Image Categorization.

Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid

IEEE Trans. Pattern Anal. Mach. Intell., 2016

A Robust and Efficient Video Representation for Action Recognition.

Heng Wang, Dan Oneata, Jakob Verbeek, Cordelia Schmid

Int. J. Comput. Vis., 2016

Circulant Temporal Encoding for Video Retrieval and Temporal Alignment.

Matthijs Douze, Jérôme Revaud, Jakob Verbeek, Hervé Jégou, Cordelia Schmid

Int. J. Comput. Vis., 2016

Semantic Segmentation using Adversarial Networks.

Pauline Luc, Camille Couprie, Soumith Chintala, Jakob Verbeek

CoRR, 2016

Convolutional Neural Fabrics.

Shreyas Saxena, Jakob Verbeek

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

Heterogeneous Face Recognition with CNNs.

Shreyas Saxena, Jakob Verbeek

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Machine learning solutions to visual recognition problems.

Jakob Verbeek

, 2016

2015

Coordinated Local Metric Learning.

Shreyas Saxena, Jakob Verbeek

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

Patch-Level Spatial Layout for Classification and Weakly Supervised Localization.

Valentina Zadrija, Josip Krapac, Jakob Verbeek, Sinisa Segvic

Proceedings of the Pattern Recognition - 37th German Conference, 2015

2014

The INRIA-LIM-VocR and AXES submissions to TrecVid 2014 Multimedia Event Detection.

Matthijs Douze, Dan Oneata, Mattis Paulin, Clément Leray, Nicolas Chesneau, Danila Potapov, Jakob Verbeek, Karteek Alahari, Zaïd Harchaoui, Lori Lamel, Jean-Luc Gauvain, Christoph Schmidt, Cordelia Schmid

Proceedings of the 2014 TREC Video Retrieval Evaluation, 2014

Spatio-temporal Object Detection Proposals.

Dan Oneata, Jérôme Revaud, Jakob Verbeek, Cordelia Schmid

Proceedings of the Computer Vision - ECCV 2014, 2014

Efficient Action Localization with Approximately Normalized Fisher Vectors.

Dan Oneata, Jakob Verbeek, Cordelia Schmid

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Multi-fold MIL Training for Weakly Supervised Object Localization.

Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid

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.

Thomas Mensink, Jakob Verbeek, Florent Perronnin

Proceedings of the Advanced Topics in Computer Vision, 2013

Distance-Based Image Classification: Generalizing to New Classes at Near-Zero Cost.

Thomas Mensink, Jakob Verbeek, Florent Perronnin, Gabriela Csurka

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Tree-Structured CRF Models for Interactive Image Labeling.

Thomas Mensink, Jakob Verbeek, Gabriela Csurka

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Image Classification with the Fisher Vector: Theory and Practice.

Jorge Sánchez, Florent Perronnin, Thomas Mensink, Jakob Verbeek

Int. J. Comput. Vis., 2013

The AXES submissions at TRECVID 2013.

Robin Aly, Relja Arandjelovic, Ken Chatfield, Matthijs Douze, Basura Fernando, Zaïd Harchaoui, Kevin McGuinness, Noel E. O'Connor, Dan Oneata, Omkar M. Parkhi, Danila Potapov, Jérôme Revaud, Cordelia Schmid, Jochen Schwenninger, David Scott, Tinne Tuytelaars, Jakob Verbeek, Heng Wang, Andrew Zisserman

Proceedings of the 2013 TREC Video Retrieval Evaluation, 2013

QCompere @ REPERE 2013.

Hervé Bredin, Johann Poignant, Guillaume Fortier, Makarand Tapaswi, Viet Bac Le, Anindya Roy, Claude Barras, Sophie Rosset, Achintya Kumar Sarkar, Qian Yang, Hua Gao, Alexis Mignon, Jakob Verbeek, Laurent Besacier, Georges Quénot, Hazim Kemal Ekenel, Rainer Stiefelhagen

Proceedings of the First Workshop on Speech, 2013

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

Dan Oneata, Jakob Verbeek, Cordelia Schmid

Proceedings of the IEEE International Conference on Computer Vision, 2013

Segmentation Driven Object Detection with Fisher Vectors.

Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid

Proceedings of the IEEE International Conference on Computer Vision, 2013

2012

Face Recognition from Caption-Based Supervision.

Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid

Int. J. Comput. Vis., 2012

AXES at TRECVID 2012: KIS, INS, and MED.

Robin Aly, Kevin McGuinness, Shu Chen, Noel E. O'Connor, Ken Chatfield, Omkar M. Parkhi, Relja Arandjelovic, Andrew Zisserman, Basura Fernando, Tinne Tuytelaars, Dan Oneata, Matthijs Douze, Jérôme Revaud, Jochen Schwenninger, Danila Potapov, Heng Wang, Zaïd Harchaoui, Jakob Verbeek, Cordelia Schmid

Proceedings of the 2012 TREC Video Retrieval Evaluation, 2012

Metric Learning for Large Scale Image Classification: Generalizing to New Classes at Near-Zero Cost.

Thomas Mensink, Jakob Verbeek, Florent Perronnin, Gabriela Csurka

Proceedings of the Computer Vision - ECCV 2012, 2012

Fusion of Speech, Faces and Text for Person Identification in TV Broadcast.

Hervé Bredin, Johann Poignant, Makarand Tapaswi, Guillaume Fortier, Viet Bac Le, Thibault Napoléon, Hua Gao, Claude Barras, Sophie Rosset, Laurent Besacier, Jakob Verbeek, Georges Quénot, Frédéric Jurie, Hazim Kemal Ekenel

Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Image categorization using Fisher kernels of non-iid image models.

Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Modeling spatial layout with fisher vectors for image categorization.

Josip Krapac, Jakob Verbeek, Frédéric Jurie

Proceedings of the IEEE International Conference on Computer Vision, 2011

Unsupervised metric learning for face identification in TV video.

Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid

Proceedings of the IEEE International Conference on Computer Vision, 2011

Learning structured prediction models for interactive image labeling.

Thomas Mensink, Jakob Verbeek, Gabriela Csurka

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Learning Tree-structured Quantizers for Image Categorization.

Josip Krapac, Jakob Verbeek, Frédéric Jurie

Proceedings of the British Machine Vision Conference, 2011

2010

Accurate Image Search Using the Contextual Dissimilarity Measure.

Hervé Jégou, Cordelia Schmid, Hedi Harzallah, Jakob Verbeek

IEEE Trans. Pattern Anal. Mach. Intell., 2010

Category Level Object Segmentation by Combining Bag-of-Words Models with Dirichlet Processes and Random Fields.

Diane Larlus, Jakob Verbeek, Frédéric Jurie

Int. J. Comput. Vis., 2010

Image annotation with tagprop on the MIRFLICKR set.

Jakob Verbeek, Matthieu Guillaumin, Thomas Mensink, Cordelia Schmid

Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, 2010

Multiple Instance Metric Learning from Automatically Labeled Bags of Faces.

Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid

Proceedings of the Computer Vision, 2010

EP for Efficient Stochastic Control with Obstacles.

Thomas Mensink, Jakob Verbeek, Bert Kappen

Proceedings of the ECAI 2010, 2010

Improving web image search results using query-relative classifiers.

Josip Krapac, Moray Allan, Jakob Verbeek, Frédéric Jurie

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Multimodal semi-supervised learning for image classification.

Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid

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.

Thomas Mensink, Gabriela Csurka, Florent Perronnin, Jorge Sánchez, Jakob Verbeek

Proceedings of the CLEF 2010 LABs and Workshops, 2010

Trans Media Relevance Feedback for Image Autoannotation.

Thomas Mensink, Jakob Verbeek, Gabriela Csurka

Proceedings of the British Machine Vision Conference, 2010

2009

Learning Color Names for Real-World Applications.

Joost van de Weijer, Cordelia Schmid, Jakob Verbeek, Diane Larlus

IEEE Trans. Image Process., 2009

Is that you? Metric learning approaches for face identification.

Matthieu Guillaumin, Jakob Verbeek, Cordelia Schmid

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.

Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

INRIA-LEAR's Participation in ImageCLEF 2009.

Matthijs Douze, Matthieu Guillaumin, Thomas Mensink, Cordelia Schmid, Jakob Verbeek

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.

Moray Allan, Jakob Verbeek

Proceedings of the British Machine Vision Conference, 2009

2008

Semi-Supervised Dimensionality Reduction Using Pairwise Equivalence Constraints.

Hakan Cevikalp, Jakob Verbeek, Frédéric Jurie, Alexander Kläser

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.

Thomas Mensink, Jakob Verbeek

Proceedings of the Computer Vision, 2008

Automatic face naming with caption-based supervision.

Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek, Cordelia Schmid

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.

Jakob Verbeek, Bill Triggs

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Using High-Level Visual Information for Color Constancy.

Joost van de Weijer, Cordelia Schmid, Jakob Verbeek

Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Learning Color Names from Real-World Images.

Joost van de Weijer, Cordelia Schmid, Jakob Verbeek

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Region Classification with Markov Field Aspect Models.

Jakob Verbeek, Bill Triggs

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.

Jakob J. Verbeek, Nikos Vlassis

Pattern Recognit., 2006

Learning Nonlinear Image Manifolds by Global Alignment of Local Linear Models.

Jakob Verbeek

IEEE Trans. Pattern Anal. Mach. Intell., 2006

Accelerated EM-based clustering of large data sets.

Jakob J. Verbeek, Jan Nunnink, Nikos Vlassis

Data Min. Knowl. Discov., 2006

Transformation invariant component analysis for binary images.

Zoran Zivkovic, Jakob Verbeek

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005

Self-organizing mixture models.

Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse

Neurocomputing, 2005

Active Appearance-Based Robot Localization Using Stereo Vision.

Josep M. Porta, Jakob J. Verbeek, Ben J. A. Kröse

Auton. Robots, 2005

2004

Mixture models for clustering and dimension reduction.

Jakob Verbeek

PhD thesis, 2004

2003

The global k-means clustering algorithm.

Aristidis Likas, Nikos Vlassis, Jakob J. Verbeek

Pattern Recognit., 2003

Efficient Greedy Learning of Gaussian Mixture Models.

Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse

Neural Comput., 2003

Non-linear CCA and PCA by Alignment of Local Models.

Jakob J. Verbeek, Sam T. Roweis, Nikos Vlassis

Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Enhancing appearance-based robot localization using sparse disparity maps.

Josep M. Porta, Jakob J. Verbeek, Ben J. A. Kröse

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.

Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse

Proceedings of the 11th European Symposium on Artificial Neural Networks, 2003

2002

A <i>k</i>-segments algorithm for finding principal curves.

Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse

Pattern Recognit. Lett., 2002

Coordinating Principal Component Analyzers.

Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse

Proceedings of the Artificial Neural Networks, 2002

Fast nonlinear dimensionality reduction with topology representing networks.

Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse

Proceedings of the 10th Eurorean Symposium on Artificial Neural Networks, 2002

2001

A Soft k-Segments Algorithm for Principal Curves.

Jakob J. Verbeek, Nikos Vlassis, Ben J. A. Kröse

Proceedings of the Artificial Neural Networks, 2001