Rémi Emonet's Research Home (see global home)

Selection of Recent Publications (see all publications and details)

Year 2017

Residual Conv-Deconv Grid Network for Semantic Segmentation

Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Alain Trémeau, Christian Wolf

2017

- BMVC (British Machine Vision Conference)

[bibtex] (click to show)

@inproceedings{fourure2017gridnet,
  title={Residual Conv-Deconv Grid Network for Semantic Segmentation},
  author={Fourure, Damien and Emonet, R{\'e}mi and Fromont, Elisa and Muselet, Damien and Tr{\'e}meau, Alain and Wolf, Christian},
  booktitle={Proceedings of the British Machine Vision Conference, 2017},
  year={2017}
}

Multi-task, Multi-domain Learning: application to semantic segmentation and pose regression

Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Natalia Neverova, Alain Trémeau, Christian Wolf

2017

- Neurocomputing

[bibtex] (click to show)

@article{fourure2017multi,
  title={Multi-task, Multi-domain Learning: application to semantic segmentation and pose regression},
  author={Fourure, Damien and Emonet, R{\'e}mi and Fromont, Elisa and Muselet, Damien and Neverova, Natalia and Tr{\'e}meau, Alain and Wolf, Christian},
  journal={Neurocomputing},
  volume={251},
  pages={68--80},
  year={2017},
  publisher={Elsevier}
}

Year 2016
C

beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data

Valentina Zantedeschi, Rémi Emonet, Marc Sebban

2016

- NIPS (Neural Information Processing Systems)
http://vzantedeschi.com/betarisk.html
[bibtex] (click to show)
```
@inproceedings{zantedeschi2016beta,
  title={beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data},
  author={Zantedeschi, Valentina and Emonet, R{\'e}mi and Sebban, Marc},
  booktitle={NIPS 2016},
  year={2016}
}
```
C

Semantic Segmentation via Multi-task, Multi-domain Learning

Damien Fourure, Rémi Emonet, Élisa Fromont, Damien Muselet, Tremeau Alain, Wolf Christian

2016

- SSPR (Structural and Syntactic Pattern Recognition)
[bibtex] (click to show)
C

Metric Learning as Convex Combinations of Local Models with Generalization Guarantees

Valentina Zantedeschi, Rémi Emonet, Marc Sebban

2016

- CVPR (IEEE conf. Computer Vision and Pattern Recognition)
[bibtex] (click to show)
```
@inproceedings{zantedeschi2016metric,
  title={Metric learning as convex combinations of local models with generalization guarantees},
  author={Zantedeschi, Valentina and Emonet, R{\'e}mi and Sebban, Marc},
  booktitle={CVPR2016},
  year={2016}
}
```

Year 2015

Landmarks-based Kernelized Subspace Alignment for Unsupervised Domain Adaptation

Rahaf Aljundi, Rémi Emonet, Damien Muselet, Marc Sebban

2015

- CVPR (IEEE conf. Computer Vision and Pattern Recognition)

[bibtex] (click to show)

@inproceedings{aljundi2015landmarks,
  title={Landmarks-based Kernelized Subspace Alignment for Unsupervised Domain Adaptation},
  author={Aljundi, Rahaf and Emonet, R{\'e}mi and Muselet, Damien and Sebban, Marc},
  booktitle={Computer Vision and Pattern Recognition},
  year={2015}
}

Year 2014

Temporal Analysis of Motif Mixtures using Dirichlet Processes

Rémi Emonet, Jagannadan Varadarajan, Jean-Marc Odobez

2014

- TPAMI (Transactions on Pattern Analysis and Machine Intelligence)

[bibtex] (click to show)

@ARTICLE{Emonet_PAMI_2014,
         author = {Emonet, Remi and Varadarajan, Jagannadan and Odobez, Jean-Marc},
          title = {Temporal Analysis of Motif Mixtures using Dirichlet Processes},
        journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
           year = {2014}
}

Sparsity in Topic Models

Jagannadan Varadarajan, Rémi Emonet, Jean-Marc Odobez

2014

- Practical Applications of Sparse Modeling: Biology, Signal Processing and Beyond

[bibtex] (click to show)

@INCOLLECTION {Varadarajan_MITPRESS_2012,
    title = {Sparsity in Topic Models},
   author = {Varadarajan, Jagannadan and Emonet, Remi and Odobez, Jean-Marc},
booktitle = {Practical Applications of Sparse Modeling (Neural Information Processing series)},
     year = {2014},
publisher = {MIT Press},
      pdf = {https://publidiap.idiap.ch/downloads//papers/2012/Varadarajan_MITPRESS_2012.pdf},
}
@book{9780262027724,
  Author = {},
  Title = {Practical Applications of Sparse Modeling (Neural Information Processing series)},
  Publisher = {The MIT Press},
  Year = {2014},
  ISBN = {0262027720},
  URL = {http://www.amazon.com/Practical-Applications-Modeling-Information-Processing/dp/0262027720%3FSubscriptionId%3D0JYN1NVW651KCA56C102%26tag%3Dtechkie-20%26linkCode%3Dxm2%26camp%3D2025%26creative%3D165953%26creativeASIN%3D0262027720}
}