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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link="#0563C1" vlink="#954F72"><div class=WordSection1><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Dear Computer Vision/Machine Learning/Autonomous Systems students, engineers, scientists and enthusiasts,<o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'><o:p> </o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>due to numerous requests worldwide, asynchronous access is now offered to Computer Vision and Machine Learning (CVML) Web lecture material:<o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>a) lecture pdf/ppt, b) lecture video, c) lecture understanding questionnaire d) lecture satisfaction questionnaire. <o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>This allows individual study at own pace.<o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'><o:p> </o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>The following lectures are already in the repository:<o:p></o:p></span></p><ul style='margin-top:0in' type=disc><li class=MsoNoSpacing style='color:black;mso-list:l2 level1 lfo3'><b><span style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Introduction to Autonomous Systems<o:p></o:p></span></b></li><li class=MsoNoSpacing style='color:black;mso-list:l2 level1 lfo3'><b><span style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Introduction to Computer vision<o:p></o:p></span></b></li><li class=MsoListParagraph style='color:black;margin-left:0in;mso-list:l2 level1 lfo3'><b>Image acquisition, camera geometry <o:p></o:p></b></li><li class=MsoListParagraph style='color:black;margin-left:0in;mso-list:l2 level1 lfo3'><b>Stereo and Multiview imaging <o:p></o:p></b></li></ul><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Two more lectures are added each week, the next to come being:<o:p></o:p></span></p><ul style='margin-top:0in' type=disc><li class=MsoNoSpacing style='color:black;mso-list:l1 level1 lfo6'><b><span style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Structure from Motion <o:p></o:p></span></b></li><li class=MsoNoSpacing style='color:black;mso-list:l1 level1 lfo6'><b><span style='font-size:11.0pt;font-family:"Calibri",sans-serif'>2D convolution and correlation algorithms<o:p></o:p></span></b></li></ul><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'><o:p> </o:p></span></p><p class=MsoNoSpacing><b><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Registration can be done using the link: </span></b><b><span style='font-size:11.0pt;font-family:"Calibri",sans-serif'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/">http://icarus.csd.auth.gr/cvml-web-lecture-series/</a><o:p></o:p></span></b></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>No new registration is needed for old registrants, just an email to Ioanna Koroni </span><span style='font-size:11.0pt;font-family:"Calibri",sans-serif'><<a href="mailto:koroniioanna@csd.auth.gr">koroniioanna@csd.auth.gr</a>> <span style='color:black'>or Orestis Sarakatsanos </span><a href="mailto:orestiss@csd.auth.gr">orestiss@csd.auth.gr</a>.<o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>All other provisions for CVML Web lectures (certificate of participation etc) apply.<o:p></o:p></span></p><p class=MsoNoSpacing><b><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'><o:p> </o:p></span></b></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>These lectures are part of a 14 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><o:p> </o:p></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Introduction to autonomous systems (delivered 25<sup>th</sup> April 2020)<o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Introduction to computer vision (delivered 25<sup>th</sup> April 2020)<o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Image acquisition, camera geometry (delivered 2<sup>nd</sup> May 2020)<o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Stereo and Multiview imaging (delivered 2<sup>nd</sup> May 2020)<o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Structure from Motion <o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>2D convolution and correlation algorithms<o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Motion estimation <o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Introduction to Machine Learning<o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Introduction to neural networks, Perceptron, backpropagation<o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Deep neural networks, Convolutional NNs<o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Deep learning for object/target detection<o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Object tracking <o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Localization and mapping<o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Fast convolution algorithms. CVML programming tools.<o:p></o:p></span></p><p class=MsoNoSpacing><b><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'><o:p> </o:p></span></b></p><p class=MsoNoSpacing><b><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Lecturer: Prof. Ioannis Pitas</span></b><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;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. He served as a Visiting Professor at several Universities.<o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>His current interests are in the areas of image/video processing, machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 1138 papers, contributed in 50 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 70 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 42 such projects. He has 30000+ citations to his work and h-index 81+ (Google Scholar). <o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Prof. Pitas lead the big European H2020 R&D project MULTIDRONE: <a href="https://multidrone.eu/">https://multidrone.eu/</a></span><span style='font-size:11.0pt;font-family:"Calibri",sans-serif'> <span style='color:black'>and is principal investigator (AUTH) in H2020 projects Aerial Core and AI4Media. He is chair of the Autonomous Systems initiative <a href="https://ieeeasi.signalprocessingsociety.org/">https://ieeeasi.signalprocessingsociety.org/</a>.<o:p></o:p></span></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Prof. I. Pitas: </span><span class=MsoHyperlink><span style='font-size:11.0pt;font-family:"Calibri",sans-serif'><a href="https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el">https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el</a></span></span><span style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>AIIA Lab </span><span class=MsoHyperlink><span style='font-size:11.0pt;font-family:"Calibri",sans-serif'><a href="http://www.aiia.csd.auth.gr">www.aiia.csd.auth.gr</a></span></span><span style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;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><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'><o:p> </o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Sincerely yours<o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Prof. Ioannis Pitas<o:p></o:p></span></p><p class=MsoNoSpacing><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'>Director of AIIA Lab, Aristotle University of Thessaloniki, Greece<o:p></o:p></span></p><p class=MsoNoSpacing><span lang=EL style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black'><o:p> </o:p></span></p><p class=MsoNoSpacing><b><span style='font-size:11.0pt;font-family:"Calibri",sans-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><b><span style='font-size:11.0pt;font-family:"Calibri",sans-serif'><a href="https://lists.auth.gr/sympa/info/cvml">https://lists.auth.gr/sympa/info/cvml</a><o:p></o:p></span></b></p><p class=MsoNormal><o:p> </o:p></p><div id=DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2><p class=MsoNormal style='margin-bottom:0in;margin-bottom:.0001pt;line-height:normal'><o:p> </o:p></p></div></div></body></html>