<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: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:"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;}
@font-face
{font-family:"Calibri Light";
panose-1:2 15 3 2 2 2 4 3 2 4;}
@font-face
{font-family:Consolas;
panose-1:2 11 6 9 2 2 4 3 2 4;}
/* Style Definitions */
p.MsoNormal, li.MsoNormal, div.MsoNormal
{margin-top:0in;
margin-right:0in;
margin-bottom:8.0pt;
margin-left:0in;
line-height:105%;
font-size:11.0pt;
font-family:"Calibri",sans-serif;}
h5
{mso-style-priority:9;
mso-style-link:"\0395\03C0\03B9\03BA\03B5\03C6\03B1\03BB\03AF\03B4\03B1 5 Char";
margin-top:0in;
margin-right:0in;
margin-bottom:8.0pt;
margin-left:0in;
line-height:105%;
font-size:11.0pt;
font-family:"Calibri",sans-serif;
font-weight:normal;}
h6
{mso-style-priority:9;
mso-style-link:"\0395\03C0\03B9\03BA\03B5\03C6\03B1\03BB\03AF\03B4\03B1 6 Char";
margin-top:0in;
margin-right:0in;
margin-bottom:8.0pt;
margin-left:0in;
line-height:105%;
font-size:11.0pt;
font-family:"Calibri",sans-serif;
font-weight:normal;}
a:link, span.MsoHyperlink
{mso-style-priority:99;
color:#0563C1;
text-decoration:underline;}
a:visited, span.MsoHyperlinkFollowed
{mso-style-priority:99;
color:#954F72;
text-decoration:underline;}
p.MsoPlainText, li.MsoPlainText, div.MsoPlainText
{mso-style-priority:99;
mso-style-link:"\0391\03C0\03BB\03CC \03BA\03B5\03AF\03BC\03B5\03BD\03BF Char";
margin-top:0in;
margin-right:0in;
margin-bottom:8.0pt;
margin-left:0in;
line-height:105%;
font-size:11.0pt;
font-family:"Calibri",sans-serif;}
p.MsoNoSpacing, li.MsoNoSpacing, div.MsoNoSpacing
{mso-style-priority:1;
margin:0in;
margin-bottom:.0001pt;
font-size:12.0pt;
font-family:"Times New Roman",serif;}
p.MsoListParagraph, li.MsoListParagraph, div.MsoListParagraph
{mso-style-priority:34;
margin-top:0in;
margin-right:0in;
margin-bottom:0in;
margin-left:.5in;
margin-bottom:.0001pt;
font-size:11.0pt;
font-family:"Calibri",sans-serif;}
span.5Char
{mso-style-name:"\0395\03C0\03B9\03BA\03B5\03C6\03B1\03BB\03AF\03B4\03B1 5 Char";
mso-style-priority:9;
mso-style-link:"\0395\03C0\03B9\03BA\03B5\03C6\03B1\03BB\03AF\03B4\03B1 5";
font-family:"Calibri Light",sans-serif;
color:#2F5496;}
span.6Char
{mso-style-name:"\0395\03C0\03B9\03BA\03B5\03C6\03B1\03BB\03AF\03B4\03B1 6 Char";
mso-style-priority:9;
mso-style-link:"\0395\03C0\03B9\03BA\03B5\03C6\03B1\03BB\03AF\03B4\03B1 6";
font-family:"Calibri Light",sans-serif;
color:#1F3763;}
p.msonormal0, li.msonormal0, div.msonormal0
{mso-style-name:msonormal;
mso-margin-top-alt:auto;
margin-right:0in;
mso-margin-bottom-alt:auto;
margin-left:0in;
font-size:11.0pt;
font-family:"Calibri",sans-serif;}
span.Char
{mso-style-name:"\0391\03C0\03BB\03CC \03BA\03B5\03AF\03BC\03B5\03BD\03BF Char";
mso-style-priority:99;
mso-style-link:"\0391\03C0\03BB\03CC \03BA\03B5\03AF\03BC\03B5\03BD\03BF";
font-family:Consolas;}
span.Heading5Char
{mso-style-name:"Heading 5 Char";
mso-style-priority:9;
mso-style-link:"Heading 5";
font-family:"Calibri",sans-serif;
font-weight:bold;}
p.Heading5, li.Heading5, div.Heading5
{mso-style-name:"Heading 5";
mso-style-link:"Heading 5 Char";
margin-top:0in;
margin-right:0in;
margin-bottom:8.0pt;
margin-left:0in;
line-height:105%;
font-size:11.0pt;
font-family:"Calibri",sans-serif;}
span.Heading6Char
{mso-style-name:"Heading 6 Char";
mso-style-priority:9;
mso-style-link:"Heading 6";
font-family:"Calibri Light",sans-serif;
color:#1F3763;}
p.Heading6, li.Heading6, div.Heading6
{mso-style-name:"Heading 6";
mso-style-link:"Heading 6 Char";
margin-top:0in;
margin-right:0in;
margin-bottom:8.0pt;
margin-left:0in;
line-height:105%;
font-size:11.0pt;
font-family:"Calibri",sans-serif;}
span.PlainTextChar
{mso-style-name:"Plain Text Char";
mso-style-priority:99;
mso-style-link:"Plain Text";
font-family:"Calibri",sans-serif;
color:black;}
p.PlainText, li.PlainText, div.PlainText
{mso-style-name:"Plain Text";
mso-style-link:"Plain Text Char";
margin-top:0in;
margin-right:0in;
margin-bottom:8.0pt;
margin-left:0in;
line-height:105%;
font-size:11.0pt;
font-family:"Calibri",sans-serif;}
span.EmailStyle30
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.tadv-format-panel
{mso-style-name:tadv-format-panel;}
span.EmailStyle32
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle33
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle34
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle35
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle36
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.st
{mso-style-name:st;}
span.EmailStyle38
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle39
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle40
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle41
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle42
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle43
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle44
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle45
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle46
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle47
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle48
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle49
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle50
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle51
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle52
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle53
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle54
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle55
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle56
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle57
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle58
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle59
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle60
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle61
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle62
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle63
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle64
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle65
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle66
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle67
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle68
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.tadv-color
{mso-style-name:tadv-color;}
span.EmailStyle70
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle71
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle72
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle73
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle74
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle75
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle76
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle77
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle78
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle79
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle80
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle81
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle82
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle83
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle84
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle85
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle86
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle87
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle88
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle89
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle90
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle91
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle92
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle93
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle94
{mso-style-type:personal;
font-family:"Calibri",sans-serif;
color:windowtext;}
span.EmailStyle97
{mso-style-type:personal-reply;
font-family:"Calibri",sans-serif;
color:windowtext;}
.MsoChpDefault
{mso-style-type:export-only;
font-size:10.0pt;}
@page WordSection1
{size:8.5in 11.0in;
margin:1.0in 1.25in 1.0in 1.25in;}
div.WordSection1
{page:WordSection1;}
--></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=EN-US link="#0563C1" vlink="#954F72"><div class=WordSection1><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>Dear Computer Vision/Machine Learning/Autonomous Systems students, engineers, scientists and enthusiasts,<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'><o:p> </o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece is proud to have launched the live CVML Web lecture series</span><span style='font-size:11.0pt'> <o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>that covers very important Computer Vision/Machine Learning topics. Two new upcoming 45 min lectures will take place soon:<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'><o:p> </o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><b><span style='font-size:11.0pt;color:black'>1) Deep Semantic Image Segmentation<o:p></o:p></span></b></p><p class=MsoNoSpacing style='text-align:justify'><b><span style='font-size:11.0pt;color:black'>2) CVML software development tools<o:p></o:p></span></b></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'><o:p> </o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>Date/time: Wednesday 17<sup>th</sup> June 2020, 19:30-21:00 EEST for both lectures (9:30-11:00 am California time, 12:30-13:00 pm New York time, 00:30-2:00 am Beijing time).<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'><o:p> </o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><b><span style='font-size:11.0pt;color:black'>Registration can be done using the link: </span></b><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/"><b>http://icarus.csd.auth.gr/cvml-web-lecture-series/</b></a><b><span style='font-size:11.0pt'><o:p></o:p></span></b></p><p class=MsoNoSpacing style='text-align:justify'><b><span style='font-size:11.0pt;color:black'>Registration for asynchronous access to CVML live Web lecture material (video, pdf/ppt) for any past/present lecture can be done using the link: </span></b><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/"><b>http://icarus.csd.auth.gr/cvml-web-lecture-series/</b></a><b><span style='font-size:11.0pt;color:black'><o:p></o:p></span></b></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'><o:p> </o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><b><span style='font-size:11.0pt;color:black'>Lecture abstracts<o:p></o:p></span></b></p><h6 style='text-align:justify'><b><span style='font-family:"Times New Roman",serif;color:black'>1) Deep Semantic Image Segmentation<strong>, </strong></span></b><span style='font-family:"Times New Roman",serif;color:black'>Wednesday 17th June 2020, 19:30-20:15 EEST <o:p></o:p></span></h6><p class=MsoNoSpacing style='text-align:justify'><b><span style='font-size:11.0pt;color:black'>Summary:</span></b><span style='font-size:11.0pt;color:black'> Semantic image segmentation is a very important computer vision task with several applications in autonomous systems perception, robotic vision and medical imaging. Recent semantic image segmentation methods rely on deep neural networks and aim to assign a specific class label to each pixel of the input image. This lecture overviews the topic and addresses some of the semantic image segmentation challenges, notably: Deep semantic Image Segmentation architectures. Skip connections. U-nets. BiSeNet. Semantic image segmentation performance, computational complexity and generalization.<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'><o:p> </o:p></span></p><h6 style='text-align:justify'><b><span style='font-family:"Times New Roman",serif;color:black'>2) CVML software development tools<strong>,</strong></span></b><strong><span style='font-family:"Calibri",sans-serif;color:black;font-weight:normal'> </span></strong><span style='font-family:"Times New Roman",serif;color:black'>Wednesday 17th June 2020, 20:15-21:00 EEST <o:p></o:p></span></h6><p class=MsoNoSpacing style='text-align:justify'><b><span style='font-size:11.0pt;color:black'>Summary:</span></b><span style='font-size:11.0pt;color:black'> This lecture overviews the various SW tools, libraries and environments used in computer vision and machine learning: Robotic Operating System (ROS). Libraries (OpenCV, BLAS, cuBLAS, MKL DNN, cuDNN), DNN Frameworks (Neon, Tensorflow, Pytortch, Keras, MXNet), Distributed/cloud computing (MapReduce programming model, Apache Spark), Collaborative SW Development tools (GitHub, Bitbucket).<o:p></o:p></span></p><p style='text-align:justify'><b><span style='color:black'>Lecturer: Prof. Ioannis Pitas</span></b><span style='color:black'> (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki, Greece. Since 1994, he has been a Professor at the Department of Informatics of the same University. His current interests are in the areas of machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 860 papers, contributed in 44 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 69 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 41 such projects. He has 31000+ citations to his work and h-index 83+ (Google Scholar). Prof. Pitas lead the big European H2020 R&D project MULTIDRONE: </span><a href="https://multidrone.eu/">https://multidrone.eu/</a> <span style='color:black'>and is principal investigator (AUTH) in H2020 projects Aerial Core and AI4Media. He is chair of the Autonomous Systems initiative </span><a href="https://ieeeasi.signalprocessingsociety.org/">https://ieeeasi.signalprocessingsociety.org/</a><span style='color:black'>.</span><o:p></o:p></p><p style='text-align:justify'><b><span style='color:black'>Lecturing record of Prof. I. Pitas:</span></b><span style='color:black'> He was Visiting/Adjunct/Honorary Professor/Researcher and lectured at several Universities: University of Toronto (Canada), University of British Columbia (Canada), EPFL (Switzerland), Chinese Academy of Sciences (China), University of Bristol (UK), Tampere University of Technology (Finland), Yonsei University (Korea), Erlangen-Nurnberg University (Germany), National University of Malaysia, Henan University (China). He delivered 90 invited/keynote lectures in prestigious international Conferences and top Universities worldwide. He run 17 short courses and tutorials on Autonomous Systems, Computer Vision and Machine Learning, most of them in the past 3 years in many countries, e.g., USA, UK, Italy, Finland, Greece, Australia, N. Zealand, Korea, Taiwan, Sri Lanka, Bhutan.<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>Relevant links: a) Prof. I. Pitas: </span><a href="https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el">https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el</a><span style='font-size:11.0pt'> <span style='color:black'>b) AIIA Lab </span></span><a href="http://www.aiia.csd.auth.gr">www.aiia.csd.auth.gr</a><span class=MsoHyperlink><span style='color:windowtext;text-decoration:none'><o:p></o:p></span></span></p><p class=MsoNoSpacing style='text-align:justify'><o:p> </o:p></p><p style='text-align:justify'><b><span style='color:black'>General information:</span></b><span style='color:black'> Lectures will consist primarily of live lecture streaming and PPT slides. Attendees (registrants) need no special computer equipment for attending the lecture. They will receive the lecture PDF before each lecture and will have the ability to ask questions real-time. Audience should have basic University-level undergraduate knowledge of any science or engineering department (calculus, probabilities, programming, that are typical e.g., in any ECE, CS, EE undergraduate program). More advanced knowledge (signals and systems, optimization theory, machine learning) is very helpful but nor required.<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'><o:p> </o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>These two lectures are part of a 15 lecture <b>CVML web course <span class=tadv-color>‘Computer vision and machine learning for autonomous systems’</span></b><span class=tadv-color> (April-June 2020):</span></span><span class=tadv-color><o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><o:p> </o:p></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>Introduction to autonomous systems (delivered 25th April 2020)<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>Introduction to computer vision (delivered 25th April 2020)<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>Image acquisition, camera geometry (delivered 2nd May 2020)<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>Stereo and Multiview imaging (delivered 2nd May 2020)<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>Structure from Motion (delivered 9th May 2020)<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>2D convolution and correlation algorithms (delivered 9th May 2020)<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>Motion estimation (delivered 20th May 2020)<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>Introduction to Machine Learning (delivered 20th May 2020)<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>Artificial Neural Networks. Perceptron (delivered 27th May 2020)<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>Multilayer perceptron. Backpropagation (delivered 27th May 2020)<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>Deep learning. Convolutional NNs (delivered 3rd June 2020)<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>Deep object detection (delivered 3rd June 2020)<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>Object tracking (delivered 10th June 2020)<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>Localization and mapping (delivered 10th June 2020)<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><b><span style='font-size:11.0pt;color:black'>Deep Semantic Image Segmentation (to be delivered 17th June 2020)<o:p></o:p></span></b></p><p class=MsoNoSpacing style='text-align:justify'><b><span style='font-size:11.0pt;color:black'>CVML programming tools (to be delivered 17th June 2020)<o:p></o:p></span></b></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'><o:p> </o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>Sincerely yours<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>Prof. Ioannis Pitas<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'>Director of Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece<o:p></o:p></span></p><p class=MsoNoSpacing style='text-align:justify'><span style='font-size:11.0pt;color:black'><o:p> </o:p></span></p><p class=MsoNormal style='text-align:justify'><b><span style='font-family:"Times New Roman",serif;color:black'>Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in </span></b><a href="https://lists.auth.gr/sympa/info/cvml"><b><span style='font-family:"Times New Roman",serif'>https://lists.auth.gr/sympa/info/cvml</span></b></a><span style='font-family:"Times New Roman",serif'><o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify;line-height:normal'><span style='font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=MsoNormal style='text-align:justify'><span style='font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify;line-height:19.2pt;background:#F2F6F9;vertical-align:baseline'><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:black;border:none windowtext 1.0pt;padding:0in'>--------------------------------------------------------------------------------------------------------------------------------------------------</span><span style='font-size:10.0pt;font-family:"Times New Roman",serif'><o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify;line-height:19.2pt;background:#F2F6F9;vertical-align:baseline'><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:black;border:none windowtext 1.0pt;padding:0in'>Computer Vision and Machine Learning (CVML) email list www page: </span><span style='color:black'><a href="http://www.aiia.csd.auth.gr/EN/cvml.html"><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:blue;border:none windowtext 1.0pt;padding:0in'>http://www.aiia.csd.auth.gr/EN/cvml.html</span></a></span><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:blue;border:none windowtext 1.0pt;padding:0in'><br></span><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:black;border:none windowtext 1.0pt;padding:0in'> </span><span style='font-size:10.0pt;font-family:"Times New Roman",serif'><o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify;line-height:19.2pt;background:#F2F6F9;vertical-align:baseline'><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:black;border:none windowtext 1.0pt;padding:0in'>1) To post a message (in English) to CVML please: send an email to </span><span style='color:black'><a href="mailto:cvml@lists.auth.gr"><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:blue;border:none windowtext 1.0pt;padding:0in'>cvml@lists.auth.gr</span></a></span><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:black;border:none windowtext 1.0pt;padding:0in'> with subject: [Topic] Your_subject</span><span style='font-size:10.0pt;font-family:"Times New Roman",serif'><o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify;line-height:19.2pt;background:#F2F6F9;vertical-align:baseline'><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:black;border:none windowtext 1.0pt;padding:0in'>[Topic] should be one of the following ones: [Jobs], [Conferences], [Journals], [Courses], [Studies], [News].</span><span style='font-size:10.0pt;font-family:"Times New Roman",serif'><o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify;line-height:19.2pt;background:#F2F6F9;vertical-align:baseline'><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:black;border:none windowtext 1.0pt;padding:0in'>2) To subscribe (for free) to this Computer Vision and Machine Learning (CVML) email list and send/receive scientific messages/news, please:</span><span style='font-size:10.0pt;font-family:"Times New Roman",serif'><o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify;line-height:19.2pt;background:#F2F6F9;vertical-align:baseline'><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:black;border:none windowtext 1.0pt;padding:0in'>send an empty email to </span><span style='color:black'><a href="mailto:sympa@lists.auth.gr"><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:blue;border:none windowtext 1.0pt;padding:0in'>sympa@lists.auth.gr</span></a></span><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:black;border:none windowtext 1.0pt;padding:0in'> with subject: subscribe </span><span style='color:black'><a href="mailto:cvml@lists.auth.gr"><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:blue;border:none windowtext 1.0pt;padding:0in'>cvml@lists.auth.gr</span></a></span><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:black;border:none windowtext 1.0pt;padding:0in'> your_name</span><span style='font-size:10.0pt;font-family:"Times New Roman",serif'><o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify;line-height:19.2pt;background:#F2F6F9;vertical-align:baseline'><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:black;border:none windowtext 1.0pt;padding:0in'>3) To unsubscribe any time, send an empty email to </span><span style='color:black'><a href="mailto:sympa@lists.auth.gr"><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:blue;border:none windowtext 1.0pt;padding:0in'>sympa@lists.auth.gr</span></a></span><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:black;border:none windowtext 1.0pt;padding:0in'> with subject: unsubscribe </span><span style='color:black'><a href="mailto:cvml@lists.auth.gr"><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:blue;border:none windowtext 1.0pt;padding:0in'>cvml@lists.auth.gr</span></a></span><span style='font-size:10.0pt;font-family:"Times New Roman",serif'><o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify;line-height:19.2pt;background:#F2F6F9;vertical-align:baseline'><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:black;border:none windowtext 1.0pt;padding:0in'>4) If you have any questions related to CVML list please contact: </span><span style='color:black'><a href="mailto:orestiss@csd.auth.gr"><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:blue;border:none windowtext 1.0pt;padding:0in'>orestiss@csd.auth.gr</span></a></span><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:black;border:none windowtext 1.0pt;padding:0in'> List moderation is supervised by Prof. I.Pitas (</span><span style='color:black'><a href="mailto:pitas@csd.auth.gr"><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:blue;border:none windowtext 1.0pt;padding:0in'>pitas@csd.auth.gr</span></a></span><span style='font-size:10.0pt;font-family:"Times New Roman",serif;color:black;border:none windowtext 1.0pt;padding:0in'>).</span><span style='font-size:10.0pt;font-family:"Times New Roman",serif'><o:p></o:p></span></p><p class=MsoNormal style='text-align:justify'><span style='font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;text-align:justify;line-height:normal'><span style='font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=MsoNormal style='text-align:justify'><span style='font-family:"Times New Roman",serif'><o:p> </o:p></span></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>