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</o:shapelayout></xml><![endif]--></head><body lang=EL link=blue vlink=purple style='word-wrap:break-word'><div class=WordSection1><p class=MsoNormal><span lang=EN-US style='font-size:10.5pt'>Dear Deep Learning, Computer Vision, Digital Media engineers, scientists and enthusiasts,<o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'> <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-size:10.5pt'>you are welcomed to register to the <b>CVML course on ‘Programming short course and workshop on Deep Learning and Computer Vision’, 30<sup>th</sup></b> <b>August - 1<sup>st</sup> September 2023:</b><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-size:10.5pt'><a href="https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2023/">https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2023/</a><o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'> <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-size:10.5pt'>It will take place at <a href="https://www.google.com/maps/place/Aristotle+University+Research+Dissemination+Center+(KEDEA)/@40.6268129,22.9625765,15z/data=!4m2!3m1!1s0x0:0xd56ca8d4f0abc5de?sa=X&ved=2ahUKEwjxk_zdz6H_AhXG_aQKHReeDFkQ_BJ6BAhJEAg">KEDEA</a> Building, hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece. The course <span style='color:black'>provides an in-depth presentation of </span>programming tools and techniques for various computer vision and deep learning problems. The target application domains are autonomous systems (e.g., real time object detection) and digital/social media analysis for Natural Disaster Management. The short course consists of three parts (A, B, C), each having lectures and programming workshops with hands-on lab exercises. There will be complemented lecture pdfs, to enable you to study at your own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture).<o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'> <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-size:10.5pt'>This course is part of the very successful CVML programming short course and workshop series that has been taking place in the last four years.<o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'> <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-size:10.5pt'>Course description ‘Programming short course and workshop on Deep Learning and Computer Vision’<o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'> <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-size:10.5pt;color:black'>The short course consists of three parts (A, B, C), each having lectures and programming workshops with hands-on lab exercises.</span><span lang=EN-US style='font-size:10.5pt'><o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'> <o:p></o:p></span></p><p class=MsoNormal><b><span lang=EN-US style='font-size:10.5pt;color:black'>Part A</span></b><span lang=EN-US style='font-size:10.5pt'> <span style='color:black'>will focus on Deep Learning and GPU programming. The lectures of this part provide a solid background on Deep Neural Networks (DNN) topics, notably convolutional NNs (CNNs) and deep learning for image classification.</span><o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'> <o:p></o:p></span></p><p class=MsoNormal><b><span lang=EN-US style='font-size:10.5pt'>Part B</span></b><span lang=EN-US style='font-size:10.5pt'> lectures will focus on deep learning algorithms for Perception on Autonomous Systems, namely on 2D object/face detection and 2D object tracking.<br><br><b><span style='color:black'>Part C</span></b> <span style='color:black'>lectures will focus on Autonomous Systems in Natural Disaster Management (NDM). The lectures will provide a basic understanding of Real-Time Image Segmentation algorithms.</span><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-size:10.5pt'><o:p> </o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'> <o:p></o:p></span></p><p class=MsoNormal><b><span lang=EN-US style='font-size:10.0pt'>Course lectures and programming workshops</span></b><span lang=EN-US style='font-size:10.5pt'><o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'> <o:p></o:p></span></p><p class=gmail-has-text-color style='margin:0in'><strong><span lang=EN-US style='font-size:10.0pt;font-family:"Calibri",sans-serif;color:black'>Part A (8 hours) Deep Learning for Autonomous Systems</span></strong><span lang=EN-US style='font-size:10.5pt'><o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'> <o:p></o:p></span></p><ol style='margin-top:0in' start=1 type=1><li class=MsoNormal style='color:black;mso-list:l4 level1 lfo3'><span lang=EN-US style='font-size:10.5pt'>Deep neural networks – Convolutional NNs. <o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l4 level1 lfo3'><span lang=EN-US style='font-size:10.5pt'>Knowledge Distillation in Deep Neural Networks. <o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l4 level1 lfo3'><span lang=EN-US style='font-size:10.5pt'>Programming workshop on Deep neural networks – Convolutional NNs. <o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l4 level1 lfo3'><span lang=EN-US style='font-size:10.5pt'>Programming workshop on Knowledge Distillation in Deep Neural Networks. <o:p></o:p></span></li></ol><p style='mso-margin-top-alt:0in;margin-right:0in;margin-bottom:0in;margin-left:.5in'><span lang=EN-US style='font-size:10.5pt;color:black'> <o:p></o:p></span></p><p class=gmail-has-text-color style='margin:0in'><strong><span lang=EN-US style='font-size:10.5pt;font-family:"Calibri",sans-serif;color:black'>Part B (8 hours) Autonomous Systems Perception</span></strong><span lang=EN-US style='font-size:10.5pt'><o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'> <o:p></o:p></span></p><ol style='margin-top:0in' start=1 type=1><li class=MsoNormal style='color:black;mso-list:l5 level1 lfo6'><span style='font-size:10.5pt'>Real Time Object Detection. <o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l5 level1 lfo6'><span lang=EN-US style='font-size:10.5pt'>2D Object Tracking in Embedded Systems. <o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l5 level1 lfo6'><span lang=EN-US style='font-size:10.5pt'>Programming workshop on Real Time Object Detection. <o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l5 level1 lfo6'><span lang=EN-US style='font-size:10.5pt'>Programming workshop on 2D Object Tracking in Embedded Systems. <o:p></o:p></span></li></ol><p style='mso-margin-top-alt:0in;margin-right:0in;margin-bottom:0in;margin-left:.5in'><span lang=EN-US style='font-size:10.5pt;color:black'> <o:p></o:p></span></p><p class=gmail-has-text-color style='margin:0in'><strong><span lang=EN-US style='font-size:10.5pt;font-family:"Calibri",sans-serif;color:black'>Part C (8 hours) Autnomous Systems in Natural Disaster Management</span></strong><span lang=EN-US style='font-size:10.5pt'><o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'> <o:p></o:p></span></p><ol style='margin-top:0in' start=1 type=1><li class=MsoNormal style='mso-list:l0 level1 lfo9'><span style='font-size:10.5pt'>Real-Time Image Segmentation. <o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l0 level1 lfo9'><span lang=EN-US style='font-size:10.5pt'>Natural Language Processing for Natural Disaster Management. <o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l0 level1 lfo9'><span lang=EN-US style='font-size:10.5pt'>Programming workshop on Real-Time Image Segmentation. <o:p></o:p></span></li><li class=MsoNormal style='mso-list:l0 level1 lfo9'><span lang=EN-US style='font-size:10.5pt'>Programming workshop on Natural Language Processing for Natural Disaster Management. <o:p></o:p></span></li></ol><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'><o:p> </o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'> <o:p></o:p></span></p><p style='margin:0in'><b><span lang=EN-US style='font-size:10.5pt'>You can use the following link for course registration:</span></b><a name="m_-1167313801535498828__Hlk60825748"></a><span lang=EN-US style='font-size:10.5pt'><o:p></o:p></span></p><p style='margin:0in'><span class=MsoHyperlink><span lang=EN-US style='color:windowtext'><a href="https://rc.auth.gr/product-list/single-product/128">https://rc.auth.gr/product-list/single-product/128</a></span></span><span class=MsoHyperlink><span style='color:windowtext'><o:p></o:p></span></span></p><p style='margin:0in'><o:p> </o:p></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'> <o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'>For questions, please contact: Ioanna Koroni <</span><span style='font-size:10.5pt'><a href="mailto:koroniioanna@csd.auth.gr" target="_blank"><span lang=EN-US>koroniioanna@csd.auth.gr</span></a></span><span lang=EN-US style='font-size:10.5pt'>><o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'> <o:p></o:p></span></p><p style='margin:0in;text-align:justify'><span lang=EN-US style='font-size:10.5pt'>This programming short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and IEEE distinguished speaker. He is the coordinator of the EC funded International AI Doctoral Academy (</span><span style='font-size:10.5pt'><a href="http://www.i-aida.org/" target="_blank"><span lang=EN-US>AIDA</span></a></span><span lang=EN-US style='font-size:10.5pt'>), that is co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He was initiator and first Chair of the IEEE SPS Autonomous Systems Initiative. He is Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece.</span><span lang=EN-US> </span><span lang=EN-US style='font-size:10.5pt'>He is Coordinator of the European Horizon2022 R&D project TEMA and he was Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 35500+ citations to his work and h-index 86+.<o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'> <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-size:10.5pt'>Relevant links:<br>1) Prof. I. Pitas: </span><span style='font-size:10.5pt'><a href="https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el" target="QvJuhGQ_lqhKhAA71OKKzMj"><span lang=EN-US>https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el</span></a></span><span lang=EN-US style='font-size:10.5pt'><br>2) Horizon2022 EU funded R&D project TEMA: <a href="https://tema-project.eu/">https://tema-project.eu/</a><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-size:10.5pt'>3) Horizon2022 EU funded R&D project AI4EUROPE: <a href="https://www.ai4europe.eu/">https://www.ai4europe.eu/</a><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-size:10.5pt'>4) Horizon2020 EU funded R&D project Aerial-Core: </span><span style='font-size:10.5pt'><a href="https://aerial-core.eu/" target=73fiG72bY2jQ-zD9Y6EjQEn><span lang=EN-US>https://aerial-core.eu/</span></a></span><span lang=EN-US><o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'>5) Horizon2020 EU funded R&D project Multidrone: </span><span style='font-size:10.5pt'><a href="https://multidrone.eu/" target="4nt7IgjMkWDF_bDlCZdJ7vY"><span lang=EN-US>https://multidrone.eu/</span></a></span><span lang=EN-US style='font-size:10.5pt'><br>6) International AI Doctoral Academy (AIDA): </span><span style='font-size:10.5pt'><a href="http://www.i-aida.org/" target=liPJhETvqqtxSf1DGRT1HbA><span lang=EN-US>http://www.i-aida.org/</span></a></span><span lang=EN-US style='font-size:10.5pt'><br>7) Horizon2020 EU funded R&D project AI4Media: </span><span style='font-size:10.5pt'><a href="https://ai4media.eu/" target="CU_xtSvi35ck1yKtoXY7peQ"><span lang=EN-US>https://ai4media.eu/</span></a></span><span lang=EN-US style='font-size:10.5pt'><br>8) AIIA Lab: </span><span style='font-size:10.5pt'><a href="https://aiia.csd.auth.gr/" target=ZMfgYBt77sjJ-vYo6PoYjgp><span lang=EN-US>https://aiia.csd.auth.gr/</span></a></span><span lang=EN-US style='font-size:10.5pt'> <o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'> <o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'> <o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'>Sincerely yours<o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'>Prof. I. Pitas<o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'>Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab)<o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'>Aristotle University of Thessaloniki, Greece<o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'> <o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'> <o:p></o:p></span></p><p style='margin:0in'><span lang=EN-US style='font-size:10.5pt'>Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: </span><span style='font-size:10.5pt'><a href="https://lists.auth.gr/sympa/info/cvml" target="_blank"><span lang=EN-US>https://lists.auth.gr/sympa/info/cvml</span></a></span><span lang=EN-US style='font-size:10.5pt'><o:p></o:p></span></p></div></body></html>