Jakob Verbeek

发表

Region-Based Image Classification with a Latent SVM Model

C. Schmid, Oksana Yakhnenko, Jakob Verbeek, 2011 .

Scene segmentation with Conditional Random Fields learned from partially labeled images

B. Triggs, Jakob Verbeek, 2007, NIPS 2007.

Weakly Supervised Object Localization with Multi-Fold Multiple Instance Learning

Cordelia Schmid, Ramazan Gokberk Cinbis, Jakob Verbeek, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Category Level Object Segmentation by Combining Bag-of-words Models and Markov Random Fields

F. Jurie, Diane Larlus, Jakob Verbeek, 2008 .

INRIA-LEARs participation to ImageCLEF 2009

C. Schmid, M. Douze, M. Guillaumin, 2009 .

An information theoretic approach to finding word groups for text classification

Jakob Verbeek, 2000 .

Apprentissage de distance pour l'annotation d'images par plus proches voisins

Jakob Verbeek, Thomas Mensink, Cordelia Schmid, 2010 .

Improving People Search Using Query Expansions

Thomas Mensink, Jakob Verbeek, Jakob Verbeek, 2008, ECCV.

Convolutional Neural Fabrics

Jakob Verbeek, Shreyas Saxena, Jakob Verbeek, 2016, NIPS.

Spatial Fisher Vectors for Image Categorization

F. Jurie, Jakob Verbeek, J. Verbeek, 2011 .

Color Names Portions Reprinted, with Permission, from 'learning Color Names for Real-world

C. Schmid, Diane Larlus, Jakob Verbeek, 2009 .

DiffEdit: Diffusion-based semantic image editing with mask guidance

Holger Schwenk, Jakob Verbeek, M. Cord, 2022, ICLR.

Image Compression with Product Quantized Masked Image Modeling

I. Laptev, Jakob Verbeek, Matthew Muckley, 2022, Trans. Mach. Learn. Res..

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

Jakob Verbeek, Matthew Muckley, Karen Ullrich, 2023, ICML.

Machine learning solutions to visual recognition problems

Jakob Verbeek, Jakob Verbeek, 2016 .

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

Matthieu Cord, Edouard Grave, Armand Joulin, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Three things everyone should know about Vision Transformers

Jakob Verbeek, M. Cord, Alaaeldin El-Nouby, 2022, ECCV.

Coordinated Local Metric Learning

Jakob Verbeek, Shreyas Saxena, Jakob Verbeek, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

Semantic Segmentation using Adversarial Networks pdf

Camille Couprie, Soumith Chintala, Pauline Luc, 2016, NIPS 2016.

Joint source–target encoding with pervasive attention

Laurent Besacier, Jakob Verbeek, Maha Elbayad, 2021, Machine Translation.

Mixed batches and symmetric discriminators for GAN training

Yann Ollivier, Jakob Verbeek, Thomas Lucas, 2018, ICML.

Controllable Image Generation via Collage Representations

Jakob Verbeek, C. Pal, Arantxa Casanova, 2023, ArXiv.

XCiT: Cross-Covariance Image Transformers pdf

Matthijs Douze, Ivan Laptev, Natalia Neverova, 2021, NeurIPS.

Instance-Conditioned GAN pdf

Michal Drozdzal, Jakob Verbeek, Arantxa Casanova, 2021, NeurIPS.

Improved baselines for vision-language pre-training

Jakob Verbeek, Pietro Astolfi, M. Drozdzal, 2023, ArXiv.

Predicting Future Instance Segmentations by Forecasting Convolutional Features pdf

Yann LeCun, Camille Couprie, Pauline Luc, 2018, ECCV.

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

Edmond Boyer, Jakob Verbeek, Nitika Verma, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Are Visual Recognition Models Robust to Image Compression?

Jakob Verbeek, Alaaeldin El-Nouby, Stanislav Frolov, 2023, arXiv.org.

FlexIT: Towards Flexible Semantic Image Translation

Holger Schwenk, Jakob Verbeek, M. Cord, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Heterogeneous Face Recognition with CNNs

Jakob Verbeek, Shreyas Saxena, Jakob Verbeek, 2016, ECCV Workshops.

Dynamic Filters in Graph Convolutional Networks pdf

Edmond Boyer, Jakob Verbeek, Nitika Verma, 2017, ArXiv.

Adaptive Density Estimation for Generative Models

C. Schmid, Alahari Karteek, Jakob Verbeek, 2019, NeurIPS.

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

Juho Kannala, Jakob Verbeek, Juha Ylioinas, 2018, ECCV Workshops.

Areas of Attention for Image Captioning

Cordelia Schmid, Marco Pedersoli, Jakob Verbeek, 2016, 2017 IEEE International Conference on Computer Vision (ICCV).

Co-training 2L Submodels for Visual Recognition

M. Oquab, Jakob Verbeek, Piotr Bojanowski, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Unifying conditional and unconditional semantic image synthesis with OCO-GAN

C. Couprie, Jakob Verbeek, Stéphane Lathuilière, 2022, ECCV Workshops.

Frankenstein: Learning Deep Face Representations Using Small Data

Yongxin Yang, Timothy M. Hospedales, Guosheng Hu, 2016, IEEE Transactions on Image Processing.

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

Laurent Besacier, Jakob Verbeek, Maha Elbayad, 2018, CoNLL.

Learning Disentangled Representations with Reference-Based Variational Autoencoders pdf

Xavier Binefa, Adria Ruiz, Jakob Verbeek, 2019, ICLR 2019.

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

Laurent Besacier, Jakob Verbeek, Maha Elbayad, 2018, ACL.

Few-shot Semantic Image Synthesis with Class Affinity Transfer

Jakob Verbeek, Stéphane Lathuilière, Marlene Careil, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Weighted Transmedia Relevance Feedback for Image Retrieval and Auto-annotation

Gabriela Csurka, Thomas Mensink, Jakob Verbeek, 2011 .

AXES at TRECVID 2012: KIS, INS, and MED

Cordelia Schmid, Noel E. O'Connor, Danila Potapov, 2012, TRECVID.

Sparse weakly supervised models for object localization in road environment

Sinisa Segvic, Josip Krapac, Valentina Zadrija, 2018, Comput. Vis. Image Underst..

Instance-Conditioned GAN Data Augmentation for Representation Learning

Pascal Vincent, Jakob Verbeek, Arantxa Casanova, 2023, ArXiv.

Face recognition from caption-based supervision

Cordelia Schmid, Matthieu Guillaumin, Thomas Mensink, 2010 .

Machine learning solutions to visual recognition problems

Jakob Verbeek, 2016 .

Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets

Thomas Mensink, Florent Perronnin, Jakob Verbeek, 2012, Advanced Topics in Computer Vision.

Supervised feature extraction for text categorization

Jakob Verbeek, Jakob Verbeek, 2000 .

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

Cordelia Schmid, Danila Potapov, Matthijs Douze, 2014, TRECVID.

The LEAR submission at Thumos 2014

Cordelia Schmid, Dan Oneata, Jakob Verbeek, 2014 .

Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets

F. Perronnin, Jakob Verbeek, Thomas Mensink, 2012, Advanced Topics in Computer Vision.

Learning Tree-structured Quantizers for Image Categorization

Frédéric Jurie, Josip Krapac, Jakob Verbeek, 2011, BMVC.

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

Jakob Verbeek, M. Cord, Stéphane Lathuilière, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Mixed batches and symmetric discriminators for GAN training

Y. Ollivier, Jakob Verbeek, Corentin Tallec, 2018, ICML.

Adversarial training of partially invertible variational autoencoders

Cordelia Schmid, Karteek Alahari, Konstantin Shmelkov, 2019 .

Coverage and Quality Driven Training of Generative Image Models pdf

Cordelia Schmid, Karteek Alahari, Konstantin Shmelkov, 2018, ArXiv.

Apprentissage de distance pour l'annotation d'images par plus proches voisins

Jakob Verbeek, Thomas Mensink, Cordelia Schmid, 2010 .

INRIA-LEAR's Participation in ImageCLEF 2009

C. Schmid, M. Guillaumin, Jakob Verbeek, 2009, CLEF.

The LEAR submission at Thumos 2014

C. Schmid, Jakob Verbeek, Dan Oneaţă, 2014 .

Coordinated Local Metric Learning

Jakob Verbeek, S. Saxena, 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets

F. Perronnin, Jakob Verbeek, Thomas Mensink, 2012, Advanced Topics in Computer Vision.

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

Jakob Verbeek, Edmond Boyer, Nitika Verma, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Guided Distillation for Semi-Supervised Instance Segmentation

Alahari Karteek, C. Couprie, Jakob Verbeek, 2023, ArXiv.

Joint Future Semantic and Instance Segmentation Prediction

Camille Couprie, Pauline Luc, Jakob Verbeek, 2018, ECCV Workshops.

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

Jakob Verbeek, Matthew Muckley, Karen Ullrich, 2023, ICML.

Dual Mesh Convolutional Networks for Human Shape Correspondence

Edmond Boyer, Adnane Boukhayma, Jakob Verbeek, 2021, 2021 International Conference on 3D Vision (3DV).