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</o:shapelayout></xml><![endif]--></head><body lang=EL link="#0563C1" vlink="#954F72" style='word-wrap:break-word'><div class=WordSection1><p class=MsoPlainText><span lang=EN-US>Dear Machine Learning</span><span lang=EN-US style='color:windowtext'>, Computer Vision and Autonomous Systems </span><span lang=EN-US>engineers, scientists and enthusiasts,<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-US>you are welcomed to register in </span><span lang=EN-US style='color:windowtext'>the <b>CVML Short e-course on Deep Learning and Computer Vision, 22</b></span><b><span lang=EN-US>-</span></b><b><span lang=EN-US style='color:windowtext'>23</span></b><b><sup><span lang=EN-US>th</span></sup></b><b><span lang=EN-US> </span></b><b><span lang=EN-US style='color:windowtext'>August</span></b><b><span lang=EN-US> 202</span></b><b><span lang=EN-US style='color:windowtext'>2</span></b><b><span lang=EN-US>: </span></b><b><span lang=EN-US style='color:windowtext'><o:p></o:p></span></b></p><p class=MsoPlainText><span lang=EN-US style='color:windowtext'><a href="http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vision-2022/">http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vision-2022/</a><o:p></o:p></span></p><p class=MsoPlainText><b><span lang=EN-US style='color:windowtext'><o:p> </o:p></span></b></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US style='color:windowtext'>Its focus will be on applications in autonomous systems (cars, drones, marine vessels).<o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US style='color:windowtext'><o:p> </o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US>It will take place as a </span><span lang=EN-US style='color:windowtext'>two-day </span><span lang=EN-US>e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH),</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>Thessaloniki, Greece</span><span lang=EN-US style='color:windowtext'>.<o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US style='color:windowtext'>It will contain </span><span lang=EN-US>a series of live lectures delivered through</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>a tele-education platform</span><span lang=EN-US style='color:windowtext'> (Zoom)</span><span lang=EN-US>. They will be complemented with on-line video</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>recorded lectures and lecture pdfs, </span><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US>to facilitate international participants</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>having time difference issues and to enable </span><span lang=EN-US style='color:windowtext'>you </span><span lang=EN-US>to study at own pace.</span><span lang=EN-US style='color:windowtext'> <o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US style='color:windowtext'><o:p> </o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US>You can also self-assess your knowledge</span><span lang=EN-US style='color:windowtext'>, </span><span lang=EN-US>by filling appropriate questionnaires (one per lecture). You will be provided programming to improve your programming skills</span><span lang=EN-US style='color:windowtext'>. <o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US style='color:windowtext'>You will also have accesses to tutorial </span><span lang=EN-US>exercises to better your theoretical understanding of selected CVML topics. </span><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US style='color:windowtext'>This 6<sup>th</sup> edition of this course is part of the very successful CVML short course series that took place in the last four years. <o:p></o:p></span></p><h1><span lang=EN-US style='font-size:11.0pt'>Course description ‘Deep Learning and Computer Vision’<o:p></o:p></span></h1><p class=MsoPlainText><span lang=EN-US>The short e-course consists of <b>1</b></span><b><span lang=EN-US style='color:windowtext'>4</span></b><b><span lang=EN-US> 1-hour </span></b><b><span lang=EN-US style='color:windowtext'>live </span></b><b><span lang=EN-US>lectures</span></b><span lang=EN-US> organized in two </span><span lang=EN-US style='color:windowtext'>P</span><span lang=EN-US>arts</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>(</span><span lang=EN-US style='color:windowtext'>1 Part </span><span lang=EN-US>per day):<o:p></o:p></span></p><p class=MsoNormal><b><span lang=EN-US>Part A lectures (7 hours)</span></b><span lang=EN-US> provide a solid background on the foundational Computer Vision topics and an in-depth presentation to Autonomous Systems vision and the relevant architectures (Camera geometry, Stereo and Multiview imaging, Introduction to multiple drone systems, Simultaneous Localization and Mapping, Drone mission planning and control, Introduction to autonomous marine vehicles).<o:p></o:p></span></p><p class=MsoNormal style='box-sizing: border-box;font-variant-ligatures: normal;font-variant-caps: normal;orphans: 2;widows: 2;-webkit-text-stroke-width: 0px;text-decoration-thickness: initial;text-decoration-style: initial;text-decoration-color: initial;word-spacing:0px'><b><span lang=EN-US>Part B lectures (7 hours)</span></b><span lang=EN-US> provide an in-depth presentation of various Deep Learning topics (Multilayer Perceptron, Backpropagation, Deep Neural Networks, Convolutional NNs, Deep Object Detection, 2D Visual Object Tracking, Neural Slam) encountered in autonomous systems perception, ranging from vehicle localization and mapping, to target detection and tracking. <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>Parts A, B also contain application-oriented lectures on autonomous systems embedded CPU/GPU computing and related SW tools that can be used in a wide range of applications, e.g., for land/marine surveillance, search&rescue missions, infrastructure/building inspection and modeling, cinematography.<o:p></o:p></span></p><p class=MsoNormal><b><span lang=EN-US><o:p> </o:p></span></b></p><p class=MsoNormal><a name="_Hlk60825748"><b><span lang=EN-US>Course lectures<o:p></o:p></span></b></a></p><span style='mso-bookmark:_Hlk60825748'></span><p class=MsoNormal><b><span lang=EN-US style='color:black'>Part A (7 hours) <o:p></o:p></span></b></p><ol style='margin-top:0in' start=1 type=1><li class=MsoListParagraph style='color:black;margin-left:0in;mso-list:l2 level1 lfo3'><span lang=EN-US style='color:windowtext'>Introduction to autonomous systems</span><span lang=EN-US><o:p></o:p></span></li><li class=MsoListParagraph style='color:black;margin-left:0in;mso-list:l2 level1 lfo3'><span lang=EN-US style='color:windowtext'>C</span><span lang=EN-US>amera geometry<o:p></o:p></span></li><li class=MsoListParagraph style='margin-left:0in;mso-list:l2 level1 lfo3'><span lang=EN-US style='color:black'>Stereo and Multiview imaging</span><span lang=EN-US><o:p></o:p></span></li><li class=MsoListParagraph style='margin-left:0in;mso-list:l2 level1 lfo3'><span lang=EN-US>Introduction to multiple drone systems<o:p></o:p></span></li><li class=MsoListParagraph style='color:black;margin-left:0in;mso-list:l2 level1 lfo3'><span lang=EN-US style='color:windowtext'>Simultaneous </span><span lang=EN-US>Localization and </span><span lang=EN-US style='color:windowtext'>M</span><span lang=EN-US>apping<o:p></o:p></span></li><li class=MsoListParagraph style='margin-left:0in;mso-list:l2 level1 lfo3'><span lang=EN-US>Drone mission planning and control<o:p></o:p></span></li><li class=MsoListParagraph style='margin-left:0in;mso-list:l2 level1 lfo3'><span lang=EN-US style='color:black'>Introduction to autonomous marine vehicles</span><span lang=EN-US><o:p></o:p></span></li></ol><p class=MsoNormal><span lang=EN-US style='color:black'><o:p> </o:p></span></p><p class=MsoNormal><b><span lang=EN-US style='color:black'>Part B (7 hours)<o:p></o:p></span></b></p><ol style='margin-top:0in' start=1 type=1><li class=MsoListParagraph style='color:black;margin-left:0in;mso-list:l3 level1 lfo6'><span lang=EN-US>Multilayer perceptron. Backpropagation<o:p></o:p></span></li><li class=MsoListParagraph style='color:black;margin-left:0in;mso-list:l3 level1 lfo6'><span lang=EN-US>Deep neural networks. Convolutional NNs<o:p></o:p></span></li><li class=MsoListParagraph style='color:black;margin-left:0in;mso-list:l3 level1 lfo6'><span lang=EN-US>Deep object detection<o:p></o:p></span></li><li class=MsoListParagraph style='color:black;margin-left:0in;mso-list:l3 level1 lfo6'><span lang=EN-US style='color:windowtext'>2D Visual </span><span lang=EN-US>Object </span><span lang=EN-US style='color:windowtext'>T</span><span lang=EN-US>racking<o:p></o:p></span></li><li class=MsoListParagraph style='margin-left:0in;mso-list:l3 level1 lfo6'><span lang=EN-US style='color:black'>Neural Slam</span><span lang=EN-US><o:p></o:p></span></li><li class=MsoListParagraph style='color:black;margin-left:0in;mso-list:l3 level1 lfo6'><span lang=EN-US style='color:windowtext'>CVML Software development tools</span><span lang=EN-US><o:p></o:p></span></li><li class=MsoListParagraph style='color:black;margin-left:0in;mso-list:l3 level1 lfo6'><span lang=EN-US style='color:windowtext'>Applications in car vision</span><span lang=EN-US><o:p></o:p></span></li></ol><p class=MsoPlainText><b><span lang=EN-US style='color:windowtext'><o:p> </o:p></span></b></p><p class=MsoNormal><span lang=EN-US>Though independent, the attendees of this short e-course will greatly benefit by attending the CVML Programming Short Course and Workshop on Deep Learning and Computer Vision 2022, 24-26<sup>th</sup> August 2022:<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US style='color:windowtext'><a href="http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2022/">http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2022/</a><o:p></o:p></span></p><p class=MsoPlainText><b><span lang=EN-US style='color:windowtext'><o:p> </o:p></span></b></p><p class=MsoPlainText><b><span lang=EN-US>You can use the following link for course registration:<o:p></o:p></span></b></p><p class=MsoPlainText><span lang=EN-US style='color:windowtext'><a href="http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vision-2022/">http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vision-2022/</a><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US style='color:windowtext'><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-US>Lecture topics, sample lecture ppts and videos</span><span lang=EN-US style='color:windowtext'>, self-assessment questionnaires, programming exercises</span><span lang=EN-US> </span><span lang=EN-US style='color:windowtext'>and tutorial exercises </span><span lang=EN-US>can be found therein.<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>For questions, please contact: Ioanna Koroni <<a href="mailto:koroniioanna@csd.auth.gr">koroniioanna@csd.auth.gr</a>><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US><o:p> </o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US>The short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow</span><span lang=EN-US style='color:windowtext'> and IEEE distinguished speaker. He is the coordinator</span><span lang=EN-US> of the EC funded </span><span lang=EN-US style='color:windowtext'>International </span><span lang=EN-US>AI </span><span lang=EN-US style='color:windowtext'>D</span><span lang=EN-US>octoral </span><span lang=EN-US style='color:windowtext'>Academy (<a href="http://www.i-aida.org/">AIDA</a>), that is co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He was initiator and first </span><span lang=EN-US>Chair of the IEEE SPS Autonomous Systems Initiative</span><span lang=EN-US style='color:windowtext'>. He is </span><span lang=EN-US>Director of the</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>University of Thessaloniki, Greece</span><span lang=EN-US style='color:windowtext'>.</span><span lang=EN-US> </span><span lang=EN-US style='color:windowtext'>He was </span><span lang=EN-US>Coordinator of the European Horizon2020</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>R&D project Multidrone. He is ranked 249-top Computer Science and</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>Electronics scientist internationally by Guide2research (2018). He has 3</span><span lang=EN-US style='color:windowtext'>38</span><span lang=EN-US>00+ citations to his work and h-index 8</span><span lang=EN-US style='color:windowtext'>6</span><span lang=EN-US>+.</span><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US style='color:windowtext'><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-US>AUTH is ranked 153/182 internationally in Computer Science/Engineering,</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>respectively, in USNews ranking.</span><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-US>Relevant links:<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>1) Prof. I. Pitas:<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US><a href="https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el">https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el</a><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>2) Horizon2020 EU funded R&D project Aerial-Core: <a href="https://aerial-core.eu/">https://aerial-core.eu/</a><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>3) Horizon2020 EU funded R&D project Multidrone: <a href="https://multidrone.eu/">https://multidrone.eu/</a><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US style='color:windowtext'>4) International </span><span lang=EN-US>AI </span><span lang=EN-US style='color:windowtext'>D</span><span lang=EN-US>octoral </span><span lang=EN-US style='color:windowtext'>Academy (AIDA): <a href="http://www.i-aida.org/">http://www.i-aida.org/</a><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US style='color:windowtext'>5</span><span lang=EN-US>) Horizon2020 EU funded R&D project AI4Media: <a href="https://ai4media.eu/">https://ai4media.eu/</a><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US style='color:windowtext'>6</span><span lang=EN-US>) AIIA Lab: <a href="https://aiia.csd.auth.gr/">https://aiia.csd.auth.gr/</a><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US style='color:windowtext'><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-US>Sincerely yours</span><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>Prof. I. Pitas<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>Director of the Artificial Intelligence and Information analysis Lab (AIIA</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>Lab)</span><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US style='color:windowtext'>Chair of the International AI Doctoral Academy (AIDA)<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>Aristotle University of Thessaloniki, Greece<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US><o:p> </o:p></span></p><p class=MsoPlainText><span lang=EN-US>Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: <a href="https://lists.auth.gr/sympa/info/cvml">https://lists.auth.gr/sympa/info/cvml</a></span><span lang=EN-US style='font-size:12.0pt;font-family:"Times New Roman",serif;color:windowtext'><o:p></o:p></span></p></div></body></html>