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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 </span><span lang=EN-US style='color:windowtext'>Computer Vision, Deep</span><span lang=EN-US> Learning and</span><span lang=EN-US style='color:windowtext'>/or 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 th</span><span lang=EN-US style='color:windowtext'>is <b>CVML Short e-course on ‘Computer Vision for Autonomous Systems’, 5</b></span><b><span lang=EN-US>-</span></b><b><span lang=EN-US style='color:windowtext'>6</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'>May</span></b><b><span lang=EN-US> 2021: </span></b><b><span lang=EN-US style='color:windowtext'><a href="https://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-autonomous-systems/">https://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-autonomous-systems/</a><o:p></o:p></span></b></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>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, providing a series of live lectures delivered through</span><span lang=EN-US style='color:windowtext'> </span><span lang=EN-US>a tele-education platform. 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, 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'> </span><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 exercises 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'>It is part of the very successful CVML short course series that took place in the last three years. <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>The short e-course consists of <b>16 1-hour </b></span><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 (8 hours)</span></b><span lang=EN-US> provide an in-depth presentation of 2D and 3D Computer Vision theory and applications in the above-mentioned diverse domains, primarily for semantic 3D world modeling and localization. Computer Vision starts with a detailed presentation of digital image/video fundamentals and image acquisition and camera geometry, including camera calibration. Then, two lectures on: a) Stereo and Multiview imaging and b) Structure from motion will provide the theoretical and algorithmic tools to recover 3D world models from images. They will be used on Localization and mapping that is of primary importance in Autonomous Systems and Robotic perception. This is complemented by Neural techniques for recovering depth information and 3D world modeling, even from monocular images. Deep semantic image segmentation will conclude this part, by providing DNN methods both to label and segment regions, e.g., roads and targets, e.g., cars, pedestrians.<o:p></o:p></span></p><p class=MsoNormal><b><span lang=EN-US>Part B lectures (8 hours)</span></b><span lang=EN-US> will start with an overview of Autonomous Systems Sensors. Then , it will provide an in-depth presentation of Computer Vision theory and applications in autonomous systems, particularly as related to target detection, tracking and object pose estimation. Applications will be presented for Multiple Drone Systems Autonomous Car Vision and Autonomous Marine Surface Vessels. Finally, CVML programming tools (e.g., DNN frameworks, BLAS/cuBLAS, DNN and CV libraries) are overviewed, as they allow fast application of all the above knowledge in almost any application domain.<o:p></o:p></span></p><h6><strong><span style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:windowtext'><o:p> </o:p></span></strong></h6><p class=MsoNormal><a name="_Hlk60825748"><b><span lang=EN-US>Course lectures</span></b><o:p></o:p></a></p><span style='mso-bookmark:_Hlk60825748'></span><h6><strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:windowtext'>Part A: </span></strong><b><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:windowtext'>Computer Vision<strong><span style='font-family:"Calibri",sans-serif'> (first day, 8 lectures)</span></strong><o:p></o:p></span></b></h6><ol style='margin-top:0in' start=1 type=1><li class=MsoPlainText style='color:windowtext;mso-list:l2 level1 lfo3'><span lang=EN-US>Digital images and videos<o:p></o:p></span></li><li class=MsoPlainText style='color:windowtext;mso-list:l2 level1 lfo3'><span lang=EN-US>Image Acquisition. Camera Geometry<o:p></o:p></span></li><li class=MsoPlainText style='color:windowtext;mso-list:l2 level1 lfo3'><span lang=EN-US>Stereo and Multiview Imaging<o:p></o:p></span></li><li class=MsoPlainText style='color:windowtext;mso-list:l2 level1 lfo3'><span lang=EN-US>Structure from Motion<o:p></o:p></span></li><li class=MsoPlainText style='color:windowtext;mso-list:l2 level1 lfo3'><span lang=EN-US>3D Robot Localization and Mapping<o:p></o:p></span></li><li class=MsoPlainText style='color:windowtext;mso-list:l2 level1 lfo3'><span lang=EN-US>Neural 3D world modeling<o:p></o:p></span></li><li class=MsoPlainText style='color:windowtext;mso-list:l2 level1 lfo3'><span lang=EN-US>Image/Point cloud registration<o:p></o:p></span></li><li class=MsoPlainText style='color:windowtext;mso-list:l2 level1 lfo3'><span lang=EN-US>Deep semantic image segmentation<o:p></o:p></span></li></ol><h6><strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:windowtext'>Part B: </span></strong><b><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:windowtext'>Autonomous Systems<strong><span style='font-family:"Calibri",sans-serif'> (second day, 8 lectures)</span></strong></span></b><strong><span style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p></o:p></span></strong></h6><ol style='margin-top:0in' start=1 type=1><li class=MsoPlainText style='mso-list:l1 level1 lfo6'><span lang=EN-US style='color:windowtext'>Autonomous Systems Sensors</span><o:p></o:p></li><li class=MsoPlainText style='color:windowtext;mso-list:l1 level1 lfo6'><span lang=EN-US>Deep object detection<o:p></o:p></span></li><li class=MsoPlainText style='color:windowtext;mso-list:l1 level1 lfo6'><span lang=EN-US>Object Tracking<o:p></o:p></span></li><li class=MsoPlainText style='color:windowtext;mso-list:l1 level1 lfo6'><span lang=EN-US>Object Pose Estimation<o:p></o:p></span></li><li class=MsoPlainText style='color:windowtext;mso-list:l1 level1 lfo6'><span lang=EN-US>Multiple Drone Systems<o:p></o:p></span></li><li class=MsoPlainText style='color:windowtext;mso-list:l1 level1 lfo6'><span lang=EN-US>Autonomous Car Vision<o:p></o:p></span></li><li class=MsoPlainText style='color:windowtext;mso-list:l1 level1 lfo6'><span lang=EN-US>Autonomous Surface Vessels<o:p></o:p></span></li><li class=MsoPlainText style='color:windowtext;mso-list:l1 level1 lfo6'><span lang=EN-US>CVML Software Development Tools<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 Short e-course on ‘Machine Learning and Deep Neural Networks’ 27-28<sup>th</sup> April 2021:<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><a href="http://icarus.csd.auth.gr/spring-cvml-short-course-machine-learning-and-deep-neural-networks/">http://icarus.csd.auth.gr/spring-cvml-short-course-machine-learning-and-deep-neural-networks/</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><b><span lang=EN-US style='color:windowtext'><a href="http://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-autonomous-systems/">http://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-autonomous-systems/</a></span></b><b><span lang=EN-US><o:p></o:p></span></b></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 and programming 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'> </span><span lang=EN-US>Chair of the IEEE SPS Autonomous Systems Initiative, 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, 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 is head of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). He has 32200+ citations to his work and h-index 85+.</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>4) 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>5) 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>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='color:windowtext'><o:p></o:p></span></p></div><div id="DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2"><br />
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