Jakob Verbeek

I am a senior researcher at Inria Grenoble working on machine learning and computer vision in the Thoth research team.

Project page for convolutional neural fabrics

My publications on Google Scholar , arXiv , HAL , DBLP.

Some recent papers

Publications HAL de verbeek de cordelia,schmid;jakob,verbeek;matthijs,douze;zaid,harchaoui;thomas,mensink;remi,ronfard;laurent,zwald;frederic,jurie;roger,mohr du labo/EPI 2398;44942

titre: Adversarial training of partially invertible variational autoencoders
auteur: Thomas Lucas, Konstantin Shmelkov, Karteek Alahari, Cordelia Schmid, Jakob Verbeek
article: ICML 2019 workshop on Invertible Neural Nets and Normalising Flows, 2019, Long Beach, United States
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titre: Learning Disentangled Representations with Reference-Based Variational Autoencoders
auteur: Adrià Ruiz, Oriol Martinez, Xavier Binefa, Jakob Verbeek
article: Workshop on Learning from Limited Labeled Data, ICLR2019, May 2019, New Orleans, United States
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titre: Sparse weakly supervised models for object localization in road environment
auteur: Valentina Zadrija, Josip Krapac, Sini?a ?egvi?, Jakob Verbeek
article: Computer Vision and Image Understanding, Elsevier, 2018, 176-177, pp.9-21. ⟨10.1016/j.cviu.2018.10.004⟩
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titre: Predicting Future Instance Segmentation by Forecasting Convolutional Features
auteur: Pauline Luc, Camille Couprie, Yann Lecun, Jakob Verbeek
article: ECCV 2018 - European Conference on Computer Vision, Sep 2018, Munich, Germany. pp.593-608, ⟨10.1007/978-3-030-01240-3_36⟩
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