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Instance-Conditioned GAN


Sep 10, 2021
Arantxa Casanova, Marlène Careil, Jakob Verbeek, Michal Drozdzal, Adriana Romero-Soriano


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XCiT: Cross-Covariance Image Transformers


Jun 18, 2021
Alaaeldin El-Nouby, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jegou


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


May 07, 2021
Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou


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DualConv: Dual Mesh Convolutional Networks for Shape Correspondence


Mar 23, 2021
Nitika Verma, Adnane Boukhayma, Jakob Verbeek, Edmond Boyer


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Meta-Learning with Shared Amortized Variational Inference


Aug 27, 2020
Ekaterina Iakovleva, Jakob Verbeek, Karteek Alahari

* ICML 2020 

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Discrete Point Flow Networks for Efficient Point Cloud Generation


Jul 20, 2020
Roman Klokov, Edmond Boyer, Jakob Verbeek

* In ECCV'20 

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Efficient Wait-k Models for Simultaneous Machine Translation


May 18, 2020
Maha Elbayad, Laurent Besacier, Jakob Verbeek


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Distilled Hierarchical Neural Ensembles with Adaptive Inference Cost


Apr 01, 2020
Adria Ruiz, Jakob Verbeek


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Hierarchical Joint Scene Coordinate Classification and Regression for Visual Localization


Sep 13, 2019
Xiaotian Li, Jakob Verbeek, Juho Kannala


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


Aug 20, 2019
Roman Klokov, Jakob Verbeek, Edmond Boyer

* Accepted as Oral at BMVC'19 

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Adaptative Inference Cost With Convolutional Neural Mixture Models


Aug 19, 2019
Adria Ruiz, Jakob Verbeek

* International Conference on Computer Vision (ICCV), 2019 

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Learning Disentangled Representations with Reference-Based Variational Autoencoders


Jan 24, 2019
Adria Ruiz, Oriol Martinez, Xavier Binefa, Jakob Verbeek


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Coverage and Quality Driven Training of Generative Image Models


Jan 04, 2019
Konstantin Shmelkov, Thomas Lucas, Karteek Alahari, Cordelia Schmid, Jakob Verbeek


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


Nov 01, 2018
Maha Elbayad, Laurent Besacier, Jakob Verbeek

* Accepted at CoNLL 2018 

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Predicting Future Instance Segmentation by Forecasting Convolutional Features


Oct 03, 2018
Pauline Luc, Camille Couprie, Yann LeCun, Jakob Verbeek


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


Sep 30, 2018
Xiaotian Li, Juha Ylioinas, Jakob Verbeek, Juho Kannala

* ECCV 2018 Workshop (Geometry Meets Deep Learning) 

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Mixed batches and symmetric discriminators for GAN training


Jun 19, 2018
Thomas Lucas, Corentin Tallec, Jakob Verbeek, Yann Ollivier

* Accepted at ICML 2018 (long oral) 

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


May 14, 2018
Maha Elbayad, Laurent Besacier, Jakob Verbeek

* Accepted by ACL 2018 

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


Mar 28, 2018
Nitika Verma, Edmond Boyer, Jakob Verbeek


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Auxiliary Guided Autoregressive Variational Autoencoders


Nov 30, 2017
Thomas Lucas, Jakob Verbeek

* Under review as a conference paper at ICLR 2018 

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Frankenstein: Learning Deep Face Representations using Small Data


Sep 21, 2017
Guosheng Hu, Xiaojiang Peng, Yongxin Yang, Timothy Hospedales, Jakob Verbeek

* IEEE TIP 

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Areas of Attention for Image Captioning


Aug 25, 2017
Marco Pedersoli, Thomas Lucas, Cordelia Schmid, Jakob Verbeek

* Accepted in ICCV 2017 

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Predicting Deeper into the Future of Semantic Segmentation


Aug 08, 2017
Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek, Yann LeCun

* Accepted to ICCV 2017. Supplementary material available on the authors' webpages 

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Convolutional Neural Fabrics


Jan 30, 2017
Shreyas Saxena, Jakob Verbeek

* Corrected typos (In proceedings of NIPS16 ) 

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Semantic Segmentation using Adversarial Networks


Nov 25, 2016
Pauline Luc, Camille Couprie, Soumith Chintala, Jakob Verbeek

* NIPS Workshop on Adversarial Training, Dec 2016, Barcelona, Spain 

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Weakly Supervised Object Localization with Multi-fold Multiple Instance Learning


Feb 22, 2016
Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid

* To appear in IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 

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Circulant temporal encoding for video retrieval and temporal alignment


Nov 30, 2015
Matthijs Douze, Jérôme Revaud, Jakob Verbeek, Hervé Jégou, Cordelia Schmid


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Approximate Fisher Kernels of non-iid Image Models for Image Categorization


Oct 03, 2015
Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid

* IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 38, no. 6, pp. 1084-1098, June 1 2016 
* IEEE Transactions on Pattern Analysis and Machine Intelligence, in press, 2015 

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A robust and efficient video representation for action recognition


Apr 21, 2015
Heng Wang, Dan Oneata, Jakob Verbeek, Cordelia Schmid


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