<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" xmlns:w="urn:schemas-microsoft-com:office:word" xmlns:x="urn:schemas-microsoft-com:office:excel" xmlns:m="http://schemas.microsoft.com/office/2004/12/omml" xmlns="http://www.w3.org/TR/REC-html40"><head><META HTTP-EQUIV="Content-Type" CONTENT="text/html; charset=us-ascii"><meta name=Generator content="Microsoft Word 15 (filtered medium)"><style><!--
/* Font Definitions */
@font-face
{font-family:Wingdings;
panose-1:5 0 0 0 0 0 0 0 0 0;}
@font-face
{font-family:"Cambria Math";
panose-1:2 4 5 3 5 4 6 3 2 4;}
@font-face
{font-family:Calibri;
panose-1:2 15 5 2 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{margin:0in;
font-size:11.0pt;
font-family:"Calibri",sans-serif;}
a:link, span.MsoHyperlink
{mso-style-priority:99;
color:#0563C1;
text-decoration:underline;}
.MsoChpDefault
{mso-style-type:export-only;
font-size:10.0pt;
mso-ligatures:none;}
@page WordSection1
{size:8.5in 11.0in;
margin:1.0in 1.25in 1.0in 1.25in;}
div.WordSection1
{page:WordSection1;}
/* List Definitions */
@list l0
{mso-list-id:321933429;
mso-list-template-ids:-1038025002;}
@list l0:level1
{mso-level-tab-stop:.5in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l0:level2
{mso-level-tab-stop:1.0in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l0:level3
{mso-level-tab-stop:1.5in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l0:level4
{mso-level-tab-stop:2.0in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l0:level5
{mso-level-tab-stop:2.5in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l0:level6
{mso-level-tab-stop:3.0in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l0:level7
{mso-level-tab-stop:3.5in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l0:level8
{mso-level-tab-stop:4.0in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l0:level9
{mso-level-tab-stop:4.5in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l1
{mso-list-id:905451864;
mso-list-template-ids:-575889396;}
@list l1:level1
{mso-level-number-format:bullet;
mso-level-text:\F0B7;
mso-level-tab-stop:.5in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l1:level2
{mso-level-number-format:bullet;
mso-level-text:o;
mso-level-tab-stop:1.0in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:"Courier New";
mso-bidi-font-family:"Times New Roman";}
@list l1:level3
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:1.5in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l1:level4
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:2.0in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l1:level5
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:2.5in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l1:level6
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:3.0in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l1:level7
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:3.5in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l1:level8
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:4.0in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l1:level9
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:4.5in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l2
{mso-list-id:914049374;
mso-list-template-ids:-1679013292;}
@list l2:level1
{mso-level-tab-stop:.5in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l2:level2
{mso-level-tab-stop:1.0in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l2:level3
{mso-level-tab-stop:1.5in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l2:level4
{mso-level-tab-stop:2.0in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l2:level5
{mso-level-tab-stop:2.5in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l2:level6
{mso-level-tab-stop:3.0in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l2:level7
{mso-level-tab-stop:3.5in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l2:level8
{mso-level-tab-stop:4.0in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l2:level9
{mso-level-tab-stop:4.5in;
mso-level-number-position:left;
text-indent:-.25in;}
@list l3
{mso-list-id:1009483425;
mso-list-template-ids:1904498766;}
@list l3:level1
{mso-level-number-format:bullet;
mso-level-text:\F0B7;
mso-level-tab-stop:.5in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l3:level2
{mso-level-number-format:bullet;
mso-level-text:o;
mso-level-tab-stop:1.0in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:"Courier New";
mso-bidi-font-family:"Times New Roman";}
@list l3:level3
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:1.5in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l3:level4
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:2.0in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l3:level5
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:2.5in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l3:level6
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:3.0in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l3:level7
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:3.5in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l3:level8
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:4.0in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l3:level9
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:4.5in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l4
{mso-list-id:1425371169;
mso-list-template-ids:-126453324;}
@list l4:level1
{mso-level-number-format:bullet;
mso-level-text:\F0B7;
mso-level-tab-stop:.5in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l4:level2
{mso-level-number-format:bullet;
mso-level-text:o;
mso-level-tab-stop:1.0in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:"Courier New";
mso-bidi-font-family:"Times New Roman";}
@list l4:level3
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:1.5in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l4:level4
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:2.0in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l4:level5
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:2.5in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l4:level6
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:3.0in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l4:level7
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:3.5in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l4:level8
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:4.0in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l4:level9
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:4.5in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l5
{mso-list-id:1779635727;
mso-list-template-ids:-1039351448;}
@list l5:level1
{mso-level-number-format:bullet;
mso-level-text:\F0B7;
mso-level-tab-stop:.5in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Symbol;}
@list l5:level2
{mso-level-number-format:bullet;
mso-level-text:o;
mso-level-tab-stop:1.0in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:"Courier New";
mso-bidi-font-family:"Times New Roman";}
@list l5:level3
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:1.5in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l5:level4
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:2.0in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l5:level5
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:2.5in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l5:level6
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:3.0in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l5:level7
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:3.5in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l5:level8
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:4.0in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
@list l5:level9
{mso-level-number-format:bullet;
mso-level-text:\F0A7;
mso-level-tab-stop:4.5in;
mso-level-number-position:left;
text-indent:-.25in;
mso-ansi-font-size:10.0pt;
font-family:Wingdings;}
ol
{margin-bottom:0in;}
ul
{margin-bottom:0in;}
--></style><!--[if gte mso 9]><xml>
<o:shapedefaults v:ext="edit" spidmax="1026" />
</xml><![endif]--><!--[if gte mso 9]><xml>
<o:shapelayout v:ext="edit">
<o:idmap v:ext="edit" data="1" />
</o:shapelayout></xml><![endif]--></head><body lang=EL link="#0563C1" vlink="#954F72" style='word-wrap:break-word'><div class=WordSection1><p><span lang=EN-US>Dear Deep Learning, Computer Vision and Autonomous Systems engineers, scientists, and enthusiasts,<o:p></o:p></span></p><p style='mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><span lang=EN-US><o:p> </o:p></span></p><p style='mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><span lang=EN-US>you are welcomed to register to the 2023 Summer School on Deep Learning and Computer Vision:<o:p></o:p></span></p><p style='mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><u><span style='color:blue'><a href="https://icarus.csd.auth.gr/aiia-cvml-summer-school-on-deep-learning-and-computer-vision-2023/" target="_blank"><span lang=EN-US>https://icarus.csd.auth.gr/aiia-cvml-summer-school-on-deep-learning-and-computer-vision-2023/</span></a></span></u><span lang=EN-US><o:p></o:p></span></p><p style='mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><span lang=EN-US>It will take place on the 28th August - 1st September 2023 and will be hosted by the Artificial Intelligence and Information Analysis (AIIA) Lab, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece. <o:p></o:p></span></p><p style='mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><span lang=EN-US> <o:p></o:p></span></p><p style='mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><span lang=EN-US>The summer school consists of two short courses:<o:p></o:p></span></p><p style='mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><span lang=EN-US>a) ‘Short Course on Deep Learning and Computer Vision 2023’, 28<sup>th</sup> - 29<sup>th</sup> August 2023:<o:p></o:p></span></p><p style='mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><u><span style='color:blue'><a href="https://icarus.csd.auth.gr/cvml-short-course-deep-learning-and-computer-vision-2023/" target="_blank"><span lang=EN-US>https://icarus.csd.auth.gr/cvml-short-course-deep-learning-and-computer-vision-2023/</span></a></span></u><span lang=EN-US> <o:p></o:p></span></p><p style='mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><span lang=EN-US>with various Computer Vision and Deep Learning applications, e.g., for big visual data analysis, autonomous vehicles (drones, cars and marine vessels), digital media analysis, intelligent human-machine interaction, anthropocentric (human-centered) computing, industrial surveillance, smart cities/buildings and assisted living, natural disaster management and<o:p></o:p></span></p><p style='mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><span lang=EN-US>b) ‘Programming short course and workshop on Deep Learning and Computer Vision 2023’, 30<sup>th</sup> August – 1<sup>st</sup> September 2023:<o:p></o:p></span></p><p style='mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><u><span style='color:blue'><a href="https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2023/" target="_blank"><span lang=EN-US>https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2023/</span></a></span></u><span lang=EN-US><o:p></o:p></span></p><p style='mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><span lang=EN-US>with applications in autonomous systems vision/perception and visual data/social media analysis for natural disaster management.<o:p></o:p></span></p><p style='mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><span lang=EN-US> <o:p></o:p></span></p><p style='mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><span lang=EN-US>You can follow the above-mentioned links to register to either one or both courses.<o:p></o:p></span></p><p style='mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><span lang=EN-US>For questions, please contact: Ioanna Koroni <</span><a href="mailto:koroniioanna@csd.auth.gr" target="_blank"><span lang=EN-US>koroniioanna@csd.auth.gr</span></a><span lang=EN-US>><o:p></o:p></span></p><p style='mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><span lang=EN-US><o:p> </o:p></span></p><p style='mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><span lang=EN-US>The first course consists of 16 lectures providing an in-depth presentation of many computer vision and deep learning problems algorithms, as applied e.g., in big visual data analysis, autonomous vehicle vision, digital media analysis and human centered computing.<o:p></o:p></span></p><p style='mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><span lang=EN-US>The second programming short course and workshop offers a mix of lectures and programming workshops (hands-on lab exercises). It aims at developing registrants’ programming skills for Deep Learning and Computer Vision, with focus on digital/social media analysis for Autonomous Systems and also on Natural Disaster Management.<o:p></o:p></span></p><p style='mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><span lang=EN-US>For both courses, the acquired skills can be used in a multitude of other applications that involve vision and/or natural language processing tasks. <o:p></o:p></span></p><p style='mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><span lang=EN-US>Both short courses are organized by Prof. I. Pitas, IEEE and EURASIP fellow, He is chair of the International AI Doctoral Academy (AIDA), AUTH prime investigation for H2020 projects AerialCore and AI4Media, and Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He was Chair of the IEEE SPS Autonomous Systems Initiative and Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 319<sup>th</sup> in Computer Science and Electronics Scientists internationally by </span><a href="http://research.com" target="_blank"><span lang=EN-US>research.com</span></a><span lang=EN-US> (2022).<o:p></o:p></span></p><p style='mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><span lang=EN-US>Aristotle University of Thessaloniki is the biggest University in Greece and in SE Europe. It is highly ranked internationally. Thessaloniki is a very pleasant and popular summer destination in Greece.<o:p></o:p></span></p><p style='margin-top:.25in'><b><span lang=EN-US>Relevant</span> links:</b><o:p></o:p></p><ul type=disc><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo1'><span lang=ES>European Horizon2020 R&D projects AI4Media: </span><a href="https://ai4media.eu/" target="_blank"><span lang=ES>https://ai4media.eu/</span></a><span lang=ES>, TEMA: </span><a href="https://tema-project.eu/" target="_blank"><span lang=ES>https://tema-project.eu/</span></a><span lang=ES> , SIMAR: </span><a href="https://simar-project.eu/" target="_blank"><span lang=ES>https://simar-project.eu/</span></a><span lang=ES> , Aerial-Core: </span><a href="https://aerial-core.eu/" target="_blank"><span lang=ES>https://aerial-core.eu/</span></a><span lang=ES>, AI4Europe: </span><a href="https://www.ai4europe.eu/" target="_blank"><span lang=ES>https://www.ai4europe.eu/</span></a><span lang=ES>, Multidrone: </span><a href="https://multidrone.eu/" target="_blank"><span lang=ES>https://multidrone.eu/</span></a><span lang=ES>, <o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo1'><span lang=ES>AIIA Lab: </span><a href="http://www.aiia.csd.auth.gr/" target="_blank"><span lang=ES>http://www.aiia.csd.auth.gr/</span></a><span lang=ES><o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo1'><span lang=EN-US>International AI Doctoral Academy (AIDA) </span><a href="https://www.i-aida.org/" target="_blank"><span lang=EN-US>https://www.i-aida.org/</span></a><span lang=EN-US><o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo1'><span lang=EN-US>Prof. I. Pitas: </span><a href="https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el" target="_blank"><span lang=EN-US>https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el</span></a><span lang=EN-US><o:p></o:p></span></li></ul><p style='mso-margin-top-alt:.25in;margin-right:0in;margin-bottom:0in;margin-left:0in'><b><span lang=EN-US>Course descriptions</span></b><span lang=EN-US><o:p></o:p></span></p><p style='mso-margin-top-alt:12.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><b><span lang=EN-US> a) ‘Short Course on Deep Learning and Computer Vision 2023’, 28<sup>th</sup>- 29<sup>th</sup> August 2023.</span></b><span lang=EN-US><o:p></o:p></span></p><p style='margin-top:6.0pt'><span lang=EN-US> </span><u><span style='color:blue'><a href="https://icarus.csd.auth.gr/cvml-short-course-deep-learning-and-computer-vision-2023/" target="_blank"><span lang=EN-US>https://icarus.csd.auth.gr/cvml-short-course-deep-learning-and-computer-vision-2023/</span></a></span></u> <span lang=EN-US><o:p></o:p></span></p><p style='margin-bottom:0in'><span lang=EN-US> <b>Part A (8 hours), Deep Neural Networks topic list</b><o:p></o:p></span></p><ol start=1 type=1><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo2'>Multilayer perceptron. Backpropagation<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo2'>Deep neural networks. Convolutional NNs <o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo2'>Recurrent Neural Networks<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo2'>Attention and Transformers<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo2'>Deep Reinforcement Learning models<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo2'>Generative Adversarial Networks<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo2'>Diffusion Models<o:p></o:p></li></ol><p style='margin-top:.25in'><span lang=EN-US> <b>Part B (8 hours) 2D and 3D Computer Vision topic list</b><o:p></o:p></span></p><ol start=1 type=1><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo3'>Camera geometry<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo3'>Stereo and Multiview imaging<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo3'>Structure from motion<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo3'>Object detection and tracking<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo3'>Region segmentation and pose estimation<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo3'>Human action recognition <o:p></o:p></li></ol><p style='mso-margin-top-alt:.25in;margin-right:0in;margin-bottom:0in;margin-left:0in'><span lang=EN-US> <b>b) ‘Programming short course and workshop on Deep Learning and Computer Vision 2023’, 30<sup>th</sup> August - 1<sup>st</sup> September 2023.</b><o:p></o:p></span></p><p style='mso-margin-top-alt:6.0pt;margin-right:0in;margin-bottom:0in;margin-left:0in'><u><span style='color:blue'><a href="https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2023/" target="_blank"><span lang=EN-US>https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2023/</span></a></span></u> <span lang=EN-US><o:p></o:p></span></p><p><b><span lang=EN-US> Part A (8 hours) Deep Learning for Autonomous Systems</span></b><span lang=EN-US><o:p></o:p></span></p><ul type=disc><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l5 level1 lfo4'>Deep neural networks – Convolutional NNs<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l5 level1 lfo4'><span lang=EN-US>Knowledge Distillation in Deep Neural Networks<o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l5 level1 lfo4'><span lang=EN-US>Programming workshop on Deep neural networks – Convolutional NNs<o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l5 level1 lfo4'><span lang=EN-US>Programming workshop on Knowledge Distillation in Deep Neural Networks<o:p></o:p></span></li></ul><p><span lang=EN-US> <b>Part B (8 hours) Autonomous Systems Perception</b><o:p></o:p></span></p><ul type=disc><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l4 level1 lfo5'>Real Time Object Detection<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l4 level1 lfo5'><span lang=EN-US>2D Object Tracking in Embedded Systems<o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l4 level1 lfo5'><span lang=EN-US>Programming workshop on Real Time Object Detection<o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l4 level1 lfo5'><span lang=EN-US>Programming workshop on 2D Object Tracking in Embedded Systems<o:p></o:p></span></li></ul><p><span lang=EN-US> <b>Part C (8 hours) Big Data Analytics and Autonomous Systems in Natural Disaster Management </b><o:p></o:p></span></p><ul type=disc><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo6'>Real-Time Image Segmentation<o:p></o:p></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo6'><span lang=EN-US>Natural Language Processing for Natural Disaster Management<o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo6'><span lang=EN-US>Programming workshop on Real-Time Image Segmentation<o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo6'><span lang=EN-US>Programming workshop on Natural Language Processing for Natural Disaster Management<o:p></o:p></span></li></ul><p><span lang=EN-US> <o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US>Sincerely yours<o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US>Prof. I. Pitas <o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US>Director of the Artificial Intelligence and Information Analysis Lab (AIIA Lab), AUTH<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Chair of the International AI Doctoral Academy (AIDA)<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in </span><a href="https://lists.auth.gr/sympa/info/cvml"><span lang=EN-US>https://lists.auth.gr/sympa/info/cvml</span></a><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p></div></body></html>