https://www.lrde.epita.fr/index.php?title=MorphoNet&feed=atom&action=history
MorphoNet - Revision history
2024-03-28T22:30:43Z
Revision history for this page on the wiki
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https://www.lrde.epita.fr/index.php?title=MorphoNet&diff=124360&oldid=prev
Theo: /* Seminar */
2019-10-03T07:56:47Z
<p><span dir="auto"><span class="autocomment">Seminar</span></span></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 07:56, 3 October 2019</td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* 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])</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* 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])</div></td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Alexandre Kirszenberg (LRDE, EPITA) : Integrating Mathematical Morphology within Deep Convolutional Neural Networks ([http://www.lrde.epita.fr/dload/morphonet/kirszenberg.2019.morphonet.pdf slides])</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Alexandre Kirszenberg (LRDE, EPITA) : Integrating Mathematical Morphology within Deep Convolutional Neural Networks ([http://www.lrde.epita.fr/dload/morphonet/kirszenberg.2019.morphonet.pdf slides])</div></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* Élodie Puybareau (LRDE, EPITA) : annonce d'une session spéciale à [https://users.encs.concordia.ca/~icprai20/ ICPRAI 2020]</div></td>
<td class="diff-marker">+</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Élodie Puybareau (LRDE, EPITA) : annonce d'une session spéciale à [https://users.encs.concordia.ca/~icprai20/ ICPRAI 2020]<ins class="diffchange diffchange-inline"> ([http://www.lrde.epita.fr/dload/morphonet/puybareau.2019.morphonet.pdf slides])</ins></div></td>
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Theo
https://www.lrde.epita.fr/index.php?title=MorphoNet&diff=124359&oldid=prev
Theo: /* Seminar */
2019-10-03T07:46:17Z
<p><span dir="auto"><span class="autocomment">Seminar</span></span></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 07:46, 3 October 2019</td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* 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])</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* 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])</div></td>
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<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* 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])</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* 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])</div></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* Alexandre Kirszenberg (LRDE, EPITA) : Integrating Mathematical Morphology within Deep Convolutional Neural Networks</div></td>
<td class="diff-marker">+</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Alexandre Kirszenberg (LRDE, EPITA) : Integrating Mathematical Morphology within Deep Convolutional Neural Networks<ins class="diffchange diffchange-inline"> ([http://www.lrde.epita.fr/dload/morphonet/kirszenberg.2019.morphonet.pdf slides])</ins></div></td>
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<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Élodie Puybareau (LRDE, EPITA) : annonce d'une session spéciale à [https://users.encs.concordia.ca/~icprai20/ ICPRAI 2020]</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Élodie Puybareau (LRDE, EPITA) : annonce d'une session spéciale à [https://users.encs.concordia.ca/~icprai20/ ICPRAI 2020]</div></td>
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</table>
Theo
https://www.lrde.epita.fr/index.php?title=MorphoNet&diff=124358&oldid=prev
Theo: /* Seminar */
2019-10-03T07:42:23Z
<p><span dir="auto"><span class="autocomment">Seminar</span></span></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 07:42, 3 October 2019</td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* 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])</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* 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])</div></td>
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<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Laurent Najman (LIGM, ESIEE / Univ. Paris-Est) : Training a watershed layer ([http://www.lrde.epita.fr/dload/morphonet/najman.2019.morphonet.pdf slides])</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Laurent Najman (LIGM, ESIEE / Univ. Paris-Est) : Training a watershed layer ([http://www.lrde.epita.fr/dload/morphonet/najman.2019.morphonet.pdf slides])</div></td>
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<td class="diff-marker">−</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* Pierre-Henri Conze (IMT Atlantique) : Apprentissage profond et superpixels pour la segmentation d'images</div></td>
<td class="diff-marker">+</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Pierre-Henri Conze (IMT Atlantique) : Apprentissage profond et superpixels pour la segmentation d'images<ins class="diffchange diffchange-inline"> ([http://www.lrde.epita.fr/dload/morphonet/conze.2019.morphonet.pdf slides])</ins></div></td>
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<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* 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])</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* 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])</div></td>
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<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Alexandre Kirszenberg (LRDE, EPITA) : Integrating Mathematical Morphology within Deep Convolutional Neural Networks</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Alexandre Kirszenberg (LRDE, EPITA) : Integrating Mathematical Morphology within Deep Convolutional Neural Networks</div></td>
</tr>
</table>
Theo
https://www.lrde.epita.fr/index.php?title=MorphoNet&diff=124357&oldid=prev
Theo: /* Seminar */
2019-10-03T07:39:55Z
<p><span dir="auto"><span class="autocomment">Seminar</span></span></p>
<table class="diff diff-contentalign-left diff-editfont-monospace" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 07:39, 3 October 2019</td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Sep 30th, Telecom ParisTech</div></td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Sep 30th, Telecom ParisTech</div></td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* Giovanni Chierchia & Benjamin Perret (LIGM, ESIEE / Univ. Paris-Est) : Ultrametric Fitting by Gradient Descent</div></td>
<td class="diff-marker">+</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Giovanni Chierchia & Benjamin Perret (LIGM, ESIEE / Univ. Paris-Est) : Ultrametric Fitting by Gradient Descent<ins class="diffchange diffchange-inline"> ([http://www.lrde.epita.fr/dload/morphonet/perret.2019.morphonet.pdf slides])</ins></div></td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Laurent Najman (LIGM, ESIEE / Univ. Paris-Est) : Training a watershed layer ([http://www.lrde.epita.fr/dload/morphonet/najman.2019.morphonet.pdf slides])</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Laurent Najman (LIGM, ESIEE / Univ. Paris-Est) : Training a watershed layer ([http://www.lrde.epita.fr/dload/morphonet/najman.2019.morphonet.pdf slides])</div></td>
</tr>
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<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Pierre-Henri Conze (IMT Atlantique) : Apprentissage profond et superpixels pour la segmentation d'images</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Pierre-Henri Conze (IMT Atlantique) : Apprentissage profond et superpixels pour la segmentation d'images</div></td>
</tr>
</table>
Theo
https://www.lrde.epita.fr/index.php?title=MorphoNet&diff=124356&oldid=prev
Theo: /* Seminar */
2019-10-02T13:33:53Z
<p><span dir="auto"><span class="autocomment">Seminar</span></span></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 13:33, 2 October 2019</td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Laurent Najman (LIGM, ESIEE / Univ. Paris-Est) : Training a watershed layer ([http://www.lrde.epita.fr/dload/morphonet/najman.2019.morphonet.pdf slides])</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Laurent Najman (LIGM, ESIEE / Univ. Paris-Est) : Training a watershed layer ([http://www.lrde.epita.fr/dload/morphonet/najman.2019.morphonet.pdf slides])</div></td>
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<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Pierre-Henri Conze (IMT Atlantique) : Apprentissage profond et superpixels pour la segmentation d'images</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Pierre-Henri Conze (IMT Atlantique) : Apprentissage profond et superpixels pour la segmentation d'images</div></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* Nicolas Boutry (LRDE, EPITA) : présentation de [https://arxiv.org/pdf/1909.01532.pdf "Deep Morphological Neural Networks"]</div></td>
<td class="diff-marker">+</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Nicolas Boutry (LRDE, EPITA) : présentation de [https://arxiv.org/pdf/1909.01532.pdf "Deep Morphological Neural Networks"]<ins class="diffchange diffchange-inline"> ([http://www.lrde.epita.fr/dload/morphonet/boutry.2019.morphonet.pdf slides])</ins></div></td>
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<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Alexandre Kirszenberg (LRDE, EPITA) : Integrating Mathematical Morphology within Deep Convolutional Neural Networks</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Alexandre Kirszenberg (LRDE, EPITA) : Integrating Mathematical Morphology within Deep Convolutional Neural Networks</div></td>
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<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Élodie Puybareau (LRDE, EPITA) : annonce d'une session spéciale à [https://users.encs.concordia.ca/~icprai20/ ICPRAI 2020]</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Élodie Puybareau (LRDE, EPITA) : annonce d'une session spéciale à [https://users.encs.concordia.ca/~icprai20/ ICPRAI 2020]</div></td>
</tr>
</table>
Theo
https://www.lrde.epita.fr/index.php?title=MorphoNet&diff=124355&oldid=prev
Theo: /* Seminar */
2019-10-02T13:19:22Z
<p><span dir="auto"><span class="autocomment">Seminar</span></span></p>
<table class="diff diff-contentalign-left diff-editfont-monospace" data-mw="interface">
<col class="diff-marker" />
<col class="diff-content" />
<col class="diff-marker" />
<col class="diff-content" />
<tr class="diff-title" lang="en">
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 13:19, 2 October 2019</td>
</tr><tr>
<td colspan="2" class="diff-lineno">Line 34:</td>
<td colspan="2" class="diff-lineno">Line 34:</td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Giovanni Chierchia & Benjamin Perret (LIGM, ESIEE / Univ. Paris-Est) : Ultrametric Fitting by Gradient Descent</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Giovanni Chierchia & Benjamin Perret (LIGM, ESIEE / Univ. Paris-Est) : Ultrametric Fitting by Gradient Descent</div></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* Laurent Najman (LIGM, ESIEE / Univ. Paris-Est) : Training a watershed layer</div></td>
<td class="diff-marker">+</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Laurent Najman (LIGM, ESIEE / Univ. Paris-Est) : Training a watershed layer<ins class="diffchange diffchange-inline"> ([http://www.lrde.epita.fr/dload/morphonet/najman.2019.morphonet.pdf slides])</ins></div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Pierre-Henri Conze (IMT Atlantique) : Apprentissage profond et superpixels pour la segmentation d'images</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Pierre-Henri Conze (IMT Atlantique) : Apprentissage profond et superpixels pour la segmentation d'images</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Nicolas Boutry (LRDE, EPITA) : présentation de [https://arxiv.org/pdf/1909.01532.pdf "Deep Morphological Neural Networks"]</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Nicolas Boutry (LRDE, EPITA) : présentation de [https://arxiv.org/pdf/1909.01532.pdf "Deep Morphological Neural Networks"]</div></td>
</tr>
</table>
Theo
https://www.lrde.epita.fr/index.php?title=MorphoNet&diff=124351&oldid=prev
Theo: /* Seminar */
2019-09-30T17:00:10Z
<p><span dir="auto"><span class="autocomment">Seminar</span></span></p>
<table class="diff diff-contentalign-left diff-editfont-monospace" data-mw="interface">
<col class="diff-marker" />
<col class="diff-content" />
<col class="diff-marker" />
<col class="diff-content" />
<tr class="diff-title" lang="en">
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 17:00, 30 September 2019</td>
</tr><tr>
<td colspan="2" class="diff-lineno">Line 35:</td>
<td colspan="2" class="diff-lineno">Line 35:</td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Giovanni Chierchia & Benjamin Perret (LIGM, ESIEE / Univ. Paris-Est) : Ultrametric Fitting by Gradient Descent</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Giovanni Chierchia & Benjamin Perret (LIGM, ESIEE / Univ. Paris-Est) : Ultrametric Fitting by Gradient Descent</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Laurent Najman (LIGM, ESIEE / Univ. Paris-Est) : Training a watershed layer</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Laurent Najman (LIGM, ESIEE / Univ. Paris-Est) : Training a watershed layer</div></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* Pierre-Henri <del class="diffchange diffchange-inline">CONZE</del> (IMT Atlantique) : Apprentissage profond et superpixels pour la segmentation d'images</div></td>
<td class="diff-marker">+</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Pierre-Henri <ins class="diffchange diffchange-inline">Conze</ins> (IMT Atlantique) : Apprentissage profond et superpixels pour la segmentation d'images</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Nicolas Boutry (LRDE, EPITA) : présentation de [https://arxiv.org/pdf/1909.01532.pdf "Deep Morphological Neural Networks"]</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Nicolas Boutry (LRDE, EPITA) : présentation de [https://arxiv.org/pdf/1909.01532.pdf "Deep Morphological Neural Networks"]</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Alexandre Kirszenberg (LRDE, EPITA) : Integrating Mathematical Morphology within Deep Convolutional Neural Networks</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Alexandre Kirszenberg (LRDE, EPITA) : Integrating Mathematical Morphology within Deep Convolutional Neural Networks</div></td>
</tr>
<!-- diff cache key www_public:diff:wikidiff2:1.12:old-124350:rev-124351:1.11.0 -->
</table>
Theo
https://www.lrde.epita.fr/index.php?title=MorphoNet&diff=124350&oldid=prev
Theo at 15:56, 30 September 2019
2019-09-30T15:56:40Z
<p></p>
<table class="diff diff-contentalign-left diff-editfont-monospace" data-mw="interface">
<col class="diff-marker" />
<col class="diff-content" />
<col class="diff-marker" />
<col class="diff-content" />
<tr class="diff-title" lang="en">
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 15:56, 30 September 2019</td>
</tr><tr>
<td colspan="2" class="diff-lineno">Line 25:</td>
<td colspan="2" class="diff-lineno">Line 25:</td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Samy Blusseau, LTCI, Telecom ParisTech & CMM, Mines ParisTech ([http://www.lrde.epita.fr/dload/morphonet/blusseau.2018.morphonet.pdf slides])</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Samy Blusseau, LTCI, Telecom ParisTech & CMM, Mines ParisTech ([http://www.lrde.epita.fr/dload/morphonet/blusseau.2018.morphonet.pdf slides])</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Julie Rivet, Institut Langevin, ESPCI, Hôpital 15-20, EPITA ([http://www.lrde.epita.fr/dload/morphonet/rivet.2018.morphonet.pdf slides])</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Julie Rivet, Institut Langevin, ESPCI, Hôpital 15-20, EPITA ([http://www.lrde.epita.fr/dload/morphonet/rivet.2018.morphonet.pdf slides])</div></td>
</tr>
<tr>
<td colspan="2" class="diff-empty"> </td>
<td class="diff-marker">+</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td colspan="2" class="diff-empty"> </td>
<td class="diff-marker">+</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td colspan="2" class="diff-empty"> </td>
<td class="diff-marker">+</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>== 2019 ==</div></td>
</tr>
<tr>
<td colspan="2" class="diff-empty"> </td>
<td class="diff-marker">+</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td colspan="2" class="diff-empty"> </td>
<td class="diff-marker">+</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>=== Seminar ===</div></td>
</tr>
<tr>
<td colspan="2" class="diff-empty"> </td>
<td class="diff-marker">+</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td colspan="2" class="diff-empty"> </td>
<td class="diff-marker">+</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Sep 30th, Telecom ParisTech</div></td>
</tr>
<tr>
<td colspan="2" class="diff-empty"> </td>
<td class="diff-marker">+</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"></td>
</tr>
<tr>
<td colspan="2" class="diff-empty"> </td>
<td class="diff-marker">+</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Giovanni Chierchia & Benjamin Perret (LIGM, ESIEE / Univ. Paris-Est) : Ultrametric Fitting by Gradient Descent</div></td>
</tr>
<tr>
<td colspan="2" class="diff-empty"> </td>
<td class="diff-marker">+</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Laurent Najman (LIGM, ESIEE / Univ. Paris-Est) : Training a watershed layer</div></td>
</tr>
<tr>
<td colspan="2" class="diff-empty"> </td>
<td class="diff-marker">+</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Pierre-Henri CONZE (IMT Atlantique) : Apprentissage profond et superpixels pour la segmentation d'images</div></td>
</tr>
<tr>
<td colspan="2" class="diff-empty"> </td>
<td class="diff-marker">+</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Nicolas Boutry (LRDE, EPITA) : présentation de [https://arxiv.org/pdf/1909.01532.pdf "Deep Morphological Neural Networks"]</div></td>
</tr>
<tr>
<td colspan="2" class="diff-empty"> </td>
<td class="diff-marker">+</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Alexandre Kirszenberg (LRDE, EPITA) : Integrating Mathematical Morphology within Deep Convolutional Neural Networks</div></td>
</tr>
<tr>
<td colspan="2" class="diff-empty"> </td>
<td class="diff-marker">+</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Élodie Puybareau (LRDE, EPITA) : annonce d'une session spéciale à [https://users.encs.concordia.ca/~icprai20/ ICPRAI 2020]</div></td>
</tr>
</table>
Theo
https://www.lrde.epita.fr/index.php?title=MorphoNet&diff=123089&oldid=prev
Theo at 15:06, 18 February 2019
2019-02-18T15:06:00Z
<p></p>
<table class="diff diff-contentalign-left diff-editfont-monospace" data-mw="interface">
<col class="diff-marker" />
<col class="diff-content" />
<col class="diff-marker" />
<col class="diff-content" />
<tr class="diff-title" lang="en">
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 15:06, 18 February 2019</td>
</tr><tr>
<td colspan="2" class="diff-lineno">Line 23:</td>
<td colspan="2" class="diff-lineno">Line 23:</td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Diana Lucia Farfan, CRESTIC, Univ. Reims & GE Healthcare</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Diana Lucia Farfan, CRESTIC, Univ. Reims & GE Healthcare</div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Bastien Ponchon, LTCI, Telecom ParisTech ([http://www.lrde.epita.fr/dload/morphonet/ponchon.2018.morphonet.pdf slides])</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Bastien Ponchon, LTCI, Telecom ParisTech ([http://www.lrde.epita.fr/dload/morphonet/ponchon.2018.morphonet.pdf slides])</div></td>
</tr>
<tr>
<td class="diff-marker">−</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* Samy Blusseau, LTCI, Telecom ParisTech & CMM, Mines ParisTech</div></td>
<td class="diff-marker">+</td>
<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Samy Blusseau, LTCI, Telecom ParisTech & CMM, Mines ParisTech<ins class="diffchange diffchange-inline"> ([http://www.lrde.epita.fr/dload/morphonet/blusseau.2018.morphonet.pdf slides])</ins></div></td>
</tr>
<tr>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Julie Rivet, Institut Langevin, ESPCI, Hôpital 15-20, EPITA ([http://www.lrde.epita.fr/dload/morphonet/rivet.2018.morphonet.pdf slides])</div></td>
<td class="diff-marker"> </td>
<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Julie Rivet, Institut Langevin, ESPCI, Hôpital 15-20, EPITA ([http://www.lrde.epita.fr/dload/morphonet/rivet.2018.morphonet.pdf slides])</div></td>
</tr>
</table>
Theo
https://www.lrde.epita.fr/index.php?title=MorphoNet&diff=122771&oldid=prev
Theo: /* Seminar */
2018-12-17T13:22:11Z
<p><span dir="auto"><span class="autocomment">Seminar</span></span></p>
<table class="diff diff-contentalign-left diff-editfont-monospace" data-mw="interface">
<col class="diff-marker" />
<col class="diff-content" />
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td>
<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 13:22, 17 December 2018</td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Étienne Decencière, CMM, Mines ParisTech</div></td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Étienne Decencière, CMM, Mines ParisTech</div></td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Élodie Puybareau, LRDE, EPITA ([http://www.lrde.epita.fr/dload/morphonet/puybareau.2018.morphonet.pdf slides])</div></td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Élodie Puybareau, LRDE, EPITA ([http://www.lrde.epita.fr/dload/morphonet/puybareau.2018.morphonet.pdf slides])</div></td>
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<td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Yongchao Xu, VLR group, Huazhong Univ. of Sci. and Tech.<ins class="diffchange diffchange-inline"> ([http://www.lrde.epita.fr/dload/morphonet/xu.2018.morphonet.pdf slides])</ins></div></td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Diana Lucia Farfan, CRESTIC, Univ. Reims & GE Healthcare</div></td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Diana Lucia Farfan, CRESTIC, Univ. Reims & GE Healthcare</div></td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Bastien Ponchon, LTCI, Telecom ParisTech ([http://www.lrde.epita.fr/dload/morphonet/ponchon.2018.morphonet.pdf slides])</div></td>
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<td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Bastien Ponchon, LTCI, Telecom ParisTech ([http://www.lrde.epita.fr/dload/morphonet/ponchon.2018.morphonet.pdf slides])</div></td>
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Theo