Difference between revisions of "MorphoNet"
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+ | == Mailing list == |
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− | = MorphoNet = |
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+ | Interested to: |
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⚫ | |||
+ | * share information |
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+ | * discuss |
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+ | * follow what’s happening in the community |
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+ | * not to do the same thing than your colleague |
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+ | about when mathematical morphology and neural networks meet? |
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+ | |||
+ | Subscribe to the mailing list: |
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⚫ | |||
+ | |||
+ | == 2018 == |
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+ | |||
+ | === Seminar === |
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+ | |||
+ | Dec 12th, Telecom ParisTech |
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+ | |||
+ | * Laurent Najman, LIGM, ESIEE / Univ. Paris-Est |
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+ | * Étienne Decencière, CMM, Mines ParisTech |
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+ | * Élodie Puybareau, LRDE, EPITA ([http://www.lrde.epita.fr/dload/morphonet/puybareau.2018.morphonet.pdf slides]) |
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+ | * Yongchao Xu, VLR group, Huazhong Univ. of Sci. and Tech. ([http://www.lrde.epita.fr/dload/morphonet/xu.2018.morphonet.pdf slides]) |
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+ | * Diana Lucia Farfan, CRESTIC, Univ. Reims & GE Healthcare |
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+ | * Bastien Ponchon, LTCI, Telecom ParisTech ([http://www.lrde.epita.fr/dload/morphonet/ponchon.2018.morphonet.pdf slides]) |
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+ | * Samy Blusseau, LTCI, Telecom ParisTech & CMM, Mines ParisTech ([http://www.lrde.epita.fr/dload/morphonet/blusseau.2018.morphonet.pdf slides]) |
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+ | * Julie Rivet, Institut Langevin, ESPCI, Hôpital 15-20, EPITA ([http://www.lrde.epita.fr/dload/morphonet/rivet.2018.morphonet.pdf slides]) |
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+ | |||
+ | |||
+ | == 2019 == |
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+ | |||
+ | === Seminar === |
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+ | |||
+ | Sep 30th, Telecom ParisTech |
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+ | |||
+ | * Giovanni Chierchia & Benjamin Perret (LIGM, ESIEE / Univ. Paris-Est) : Ultrametric Fitting by Gradient Descent ([http://www.lrde.epita.fr/dload/morphonet/perret.2019.morphonet.pdf slides]) |
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+ | * Laurent Najman (LIGM, ESIEE / Univ. Paris-Est) : Training a watershed layer ([http://www.lrde.epita.fr/dload/morphonet/najman.2019.morphonet.pdf slides]) |
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+ | * Pierre-Henri Conze (IMT Atlantique) : Apprentissage profond et superpixels pour la segmentation d'images ([http://www.lrde.epita.fr/dload/morphonet/conze.2019.morphonet.pdf slides]) |
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+ | * Nicolas Boutry (LRDE, EPITA) : présentation de [https://arxiv.org/pdf/1909.01532.pdf "Deep Morphological Neural Networks"] ([http://www.lrde.epita.fr/dload/morphonet/boutry.2019.morphonet.pdf slides]) |
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+ | * Alexandre Kirszenberg (LRDE, EPITA) : Integrating Mathematical Morphology within Deep Convolutional Neural Networks ([http://www.lrde.epita.fr/dload/morphonet/kirszenberg.2019.morphonet.pdf slides]) |
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+ | * Élodie Puybareau (LRDE, EPITA) : annonce d'une session spéciale à [https://users.encs.concordia.ca/~icprai20/ ICPRAI 2020] ([http://www.lrde.epita.fr/dload/morphonet/puybareau.2019.morphonet.pdf slides]) |
Latest revision as of 09:56, 3 October 2019
Mailing list
Interested to:
- share information
- discuss
- follow what’s happening in the community
- not to do the same thing than your colleague
about when mathematical morphology and neural networks meet?
Subscribe to the mailing list: https://lists.lrde.epita.fr/listinfo/morphonet
2018
Seminar
Dec 12th, Telecom ParisTech
- Laurent Najman, LIGM, ESIEE / Univ. Paris-Est
- Étienne Decencière, CMM, Mines ParisTech
- Élodie Puybareau, LRDE, EPITA (slides)
- Yongchao Xu, VLR group, Huazhong Univ. of Sci. and Tech. (slides)
- Diana Lucia Farfan, CRESTIC, Univ. Reims & GE Healthcare
- Bastien Ponchon, LTCI, Telecom ParisTech (slides)
- Samy Blusseau, LTCI, Telecom ParisTech & CMM, Mines ParisTech (slides)
- Julie Rivet, Institut Langevin, ESPCI, Hôpital 15-20, EPITA (slides)
2019
Seminar
Sep 30th, Telecom ParisTech
- Giovanni Chierchia & Benjamin Perret (LIGM, ESIEE / Univ. Paris-Est) : Ultrametric Fitting by Gradient Descent (slides)
- Laurent Najman (LIGM, ESIEE / Univ. Paris-Est) : Training a watershed layer (slides)
- Pierre-Henri Conze (IMT Atlantique) : Apprentissage profond et superpixels pour la segmentation d'images (slides)
- Nicolas Boutry (LRDE, EPITA) : présentation de "Deep Morphological Neural Networks" (slides)
- Alexandre Kirszenberg (LRDE, EPITA) : Integrating Mathematical Morphology within Deep Convolutional Neural Networks (slides)
- Élodie Puybareau (LRDE, EPITA) : annonce d'une session spéciale à ICPRAI 2020 (slides)