Jakob Verbeek
I am a senior researcher at Inria Grenoble working on machine learning and computer vision in the Thoth research team. Want to join the lab?- Open applications are welcome by outstanding candidates for postdoc positions in architecture learning for deep nets, unsupervised deep learning, semantic segmentation, and image captioning, or related topics
Some recent papers
- 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
- Accès au bibtex
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- titre
- Learning Disentangled Representations with Reference-Based Variational Autoencoders
- auteur
- Adrià Ruiz, Oriol Martinez, Xavier Binefa, Jakob Verbeek
- article
- 2018
- Accès au texte intégral et bibtex
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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.1-21
- Accès au texte intégral et bibtex
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- titre
- Coverage and quality driven training of generative image models
- auteur
- Konstantin Shmelkov, Thomas Lucas, Karteek Alahari, Cordelia Schmid, Jakob Verbeek
- article
- 2018
- Accès au texte intégral et bibtex
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