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author/Gaia-Pavoni/index.html

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 </a><a href=# class="dropdown-item js-set-theme-dark"><span>Dark</span>
 </a><a href=# class="dropdown-item js-set-theme-auto"><span>Automatic</span></a></div></li></ul></div></nav></header></div><div class=page-body><section id=profile-page class=pt-5><div class=container><div class=row><div class="col-12 col-lg-4"><div id=profile><img class="avatar avatar-circle" width=270 height=270 src=/author/Gaia-Pavoni/avatar_hu09cde8028a7360f363eb8d188a226087_243707_270x270_fill_q75_lanczos_center.jpg alt="Gaia Pavoni"><div class=portrait-title><h2>Gaia Pavoni</h2><h3>Researcher</h3><h3><span>ISTI-CNR</span></h3></div><ul class=network-icon aria-hidden=true><li><a href=mailto:[email protected] aria-label=envelope><i class="fas fa-envelope big-icon"></i></a></li><li><a href="https://scholar.google.com/citations?hl=it&amp;user=v37SiqcAAAAJ" target=_blank rel=noopener aria-label=google-scholar><i class="ai ai-google-scholar big-icon"></i></a></li><li><a href=https://orcid.org/0000-0003-4083-3835 target=_blank rel=noopener aria-label=orcid><i class="fab fa-orcid big-icon"></i></a></li><li><a href=https://github.com/cnr-isti-vclab/TagLab target=_blank rel=noopener aria-label=github><i class="fab fa-github big-icon"></i></a></li></ul></div></div><div class="col-12 col-lg-8"><div class=article-style><p>I&rsquo;m a Researcher at the Visual Computing Lab at CNR-ISTI (National Research Council of Italy, Institute of Information Science and Technologies).
 I am involved in developing IT tools using computer vision, geometric processing, and AI for environmental monitoring and cultural heritage investigations.
-Since 2021, I have served as a software architect for the interactive annotation software TagLab, widely adopted in coral reef ecology.</p></div><div class=row><div class=col-md-5><div class=section-subheading>Interests</div><ul class="ul-interests mb-0"><li>Human-centered AI</li><li>Automatic recognition</li><li>Computer Vision</li><li>Geometry processing</li></ul></div><div class=col-md-7><div class=section-subheading>Education</div><ul class="ul-edu fa-ul mb-0"><li><i class="fa-li fas fa-graduation-cap"></i><div class=description><p class=course>PhD in Information Engineering, 2020</p><p class=institution>University of Pisa</p></div></li><li><i class="fa-li fas fa-graduation-cap"></i><div class=description><p class=course>Master Degree in Applied Mathematics, 2011</p><p class=institution>University of Roma Tor Vergata</p></div></li></ul></div></div></div></div><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/2022/PGDCPCC22/>On assisting and automatizing the semantic segmentation of masonry walls</a></li><li><a href=/publication/2021/PCPPC21/>Challenges in the deep learning-based semantic segmentation of benthic communities from Ortho-images</a></li><li><a href=/publication/2021/PCPEPSC21/>TagLab: AI-assisted annotation for the fast and accurate semantic segmentation of coral reef orthoimages</a></li><li><a href=/publication/2020/PCC20/>A State of the Art Technology in Large Scale Underwater Monitoring</a></li><li><a href=/publication/2020/PGDCPCC20/>Another Brick in the Wall: Improving the Assisted Semantic Segmentation of Masonry Walls</a></li><li><a href=/publication/2020/PCCEC20/>On Improving the Training of Models for the Semantic Segmentation of Benthic Communities from Orthographic Imagery</a></li><li><a href=/publication/2019/CDLPPPS19/>Rilievo 3D di Alchimia, ed uso dei modelli 3D per studio e divulgazione</a></li><li><a href=/publication/2019/PCPS19/>A Validation Tool For Improving Semantic Segmentation of Complex Natural Structures</a></li><li><a href=/publication/2019/PCCPS19/>Semantic Segmentation of Benthic Communities from Ortho-Mosaic Maps</a></li><li><a href=/publication/2019/CGPPCMTSPCBCGMPR19/>Visual acquisition system for georeferenced monitoring and reconstruction of the sea bottom using audio for data synchronisation</a></li><li><a href=/publication/2018/PPCDCPS18/>Quasi-Orthorectified Projection for the Measurement of Red Gorgonian Colonies</a></li><li><a href=/publication/2018/PRPPPC18/>SfM-Based Method to Assess Gorgonian Forests (Paramuricea clavata (Cnidaria, Octocorallia))</a></li><li><a href=/publication/2016/CPCDPDS16/>A Virtual Experience Across the Buried History</a></li><li><a href=/publication/2016/PDCS16/>Automatic Selection of Video Frames for Path Regularization and 3D Reconstruction</a></li><li><a href=/publication/2015/CPPDPLS15/>Alchemy in 3D – A Digitization for a Journey Through Matter</a></li><li><a href=/research/environment-monitoring/>Enviromental Monitoring</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><div class="powered-by social"><div class=d-lg-inline-flex><a class=navbar-brand href="https://twitter.com/visualcnr?lang=en"><img src=/media/X-c_hue8fe063a1fcec03db656afc3cc1bf40d_4700_0x140_resize_lanczos_3.png alt=X class=logo_light>
+Since 2021, I have served as a software architect for the interactive annotation software TagLab, widely adopted in coral reef ecology.</p></div><div class=row><div class=col-md-5><div class=section-subheading>Interests</div><ul class="ul-interests mb-0"><li>Human-centered AI</li><li>Automatic recognition</li><li>Computer Vision</li><li>Geometry processing</li></ul></div><div class=col-md-7><div class=section-subheading>Education</div><ul class="ul-edu fa-ul mb-0"><li><i class="fa-li fas fa-graduation-cap"></i><div class=description><p class=course>PhD in Information Engineering, 2020</p><p class=institution>University of Pisa</p></div></li><li><i class="fa-li fas fa-graduation-cap"></i><div class=description><p class=course>Master Degree in Applied Mathematics, 2011</p><p class=institution>University of Roma Tor Vergata</p></div></li></ul></div></div></div></div><div class="article-widget content-widget-hr"><h3>Latest</h3><ul><li><a href=/publication/2022/PGDCPCC22/>On assisting and automatizing the semantic segmentation of masonry walls</a></li><li><a href=/publication/2021/PCPPC21/>Challenges in the deep learning-based semantic segmentation of benthic communities from Ortho-images</a></li><li><a href=/publication/2021/PCPEPSC21/>TagLab: AI-assisted annotation for the fast and accurate semantic segmentation of coral reef orthoimages</a></li><li><a href=/publication/2020/PCC20/>A State of the Art Technology in Large Scale Underwater Monitoring</a></li><li><a href=/publication/2020/PGDCPCC20/>Another Brick in the Wall: Improving the Assisted Semantic Segmentation of Masonry Walls</a></li><li><a href=/publication/2020/PCCEC20/>On Improving the Training of Models for the Semantic Segmentation of Benthic Communities from Orthographic Imagery</a></li><li><a href=/publication/2019/CDLPPPS19/>Rilievo 3D di Alchimia, ed uso dei modelli 3D per studio e divulgazione</a></li><li><a href=/publication/2019/PCPS19/>A Validation Tool For Improving Semantic Segmentation of Complex Natural Structures</a></li><li><a href=/publication/2019/PCCPS19/>Semantic Segmentation of Benthic Communities from Ortho-Mosaic Maps</a></li><li><a href=/publication/2019/CGPPCMTSPCBCGMPR19/>Visual acquisition system for georeferenced monitoring and reconstruction of the sea bottom using audio for data synchronisation</a></li><li><a href=/publication/2018/PPCDCPS18/>Quasi-Orthorectified Projection for the Measurement of Red Gorgonian Colonies</a></li><li><a href=/publication/2018/PRPPPC18/>SfM-Based Method to Assess Gorgonian Forests (Paramuricea clavata (Cnidaria, Octocorallia))</a></li><li><a href=/publication/2016/CPCDPDS16/>A Virtual Experience Across the Buried History</a></li><li><a href=/publication/2016/PDCS16/>Automatic Selection of Video Frames for Path Regularization and 3D Reconstruction</a></li><li><a href=/publication/2015/CPPDPLS15/>Alchemy in 3D – A Digitization for a Journey Through Matter</a></li><li><a href=/research/environment-monitoring/>Enviromental Monitoring</a></li><li><a href=/software_apps/taglab/>TagLab</a></li></ul></div></div></section></div><div class=page-footer><div class=container><footer class=site-footer><div class="powered-by social"><div class=d-lg-inline-flex><a class=navbar-brand href="https://twitter.com/visualcnr?lang=en"><img src=/media/X-c_hue8fe063a1fcec03db656afc3cc1bf40d_4700_0x140_resize_lanczos_3.png alt=X class=logo_light>
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author/Gaia-Pavoni/index.xml

@@ -62,4 +62,4 @@
 <div class="w-100" ><img src="https://vcgdata.isti.cnr.it/Publications/2015/CPPDPLS15/scan.jpg" alt="" loading="lazy" data-zoomable /></div>
 </div></figure>
 --></description></item><item><title>Enviromental Monitoring</title><link>http://vcg.isti.cnr.it/research/environment-monitoring/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>http://vcg.isti.cnr.it/research/environment-monitoring/</guid><description>&lt;p>This line of research is focused on the development of algorithms and tools based on AI and geometry processing of 3D data
-aimed at protecting biodiversity and support underwater biological and ecological analysis of visual data.&lt;/p></description></item></channel></rss>
+aimed at protecting biodiversity and support underwater biological and ecological analysis of visual data.&lt;/p></description></item><item><title>TagLab</title><link>http://vcg.isti.cnr.it/software_apps/taglab/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>http://vcg.isti.cnr.it/software_apps/taglab/</guid><description/></item></channel></rss>