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</o:shapelayout></xml><![endif]--></head><body lang=EL link=blue vlink=purple style='word-wrap:break-word'><div class=WordSection1><div><div><p class=MsoPlainText style='margin:0in'><span lang=EN-US>Dear Deep Learning, Computer Vision, Digital Media engineers, scientists and enthusiasts,<o:p></o:p></span></p><p class=MsoPlainText style='margin:0in'><span lang=EN-US> <o:p></o:p></span></p><p class=MsoPlainText style='margin:0in'>you are welcomed to register in the <b>CVML e-course on ‘Programming short course and workshop on Deep Learning and Computer Vision’, 24-26<sup>th</sup> August 2022: </b><o:p></o:p></p><p class=MsoPlainText style='margin:0in'><a href="https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2022/">https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2022/</a><o:p></o:p></p><p class=MsoPlainText style='margin:0in'><o:p> </o:p></p><p class=MsoPlainText style='margin:0in;text-align:justify'><span lang=EN-US>It will take place as a three-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures and programming workshops delivered through a tele-education platform (Zoom). </span>Its focus is on upgrading your programming skills in various Deep Learning and Computer Vision topics. You will be provided programming exercises in Python, CUDA, PyTorch, OpenCV etc to this end. Application focus will be in Digital Media. They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture).<o:p></o:p></p><p class=MsoPlainText style='margin:0in;text-align:justify'> <o:p></o:p></p><p class=MsoPlainText style='margin:0in;text-align:justify'>This course is part of the very successful CVML programming short course and workshop series that took place in the last four years. <o:p></o:p></p><p class=MsoPlainText style='margin:0in;text-align:justify'><o:p> </o:p></p><h1 style='margin:0in'><span style='font-size:11.0pt'>Course description ‘Programming short course and workshop on Deep Learning and Computer Vision’</span><o:p></o:p></h1><p class=MsoPlainText style='margin:0in'>The programming short course and workshop e-course consists of <b>16 1-hour live lectures & workshops</b> organized in two Parts (1 Part per day):<o:p></o:p></p><p class=MsoPlainText style='margin:0in'><b>Part A</b> will focus on Deep Learning and GPU programming.<o:p></o:p></p><p class=MsoNormal><b>Part B</b> lectures will focus on deep learning algorithms for computer vision, namely on 2D object/face detection and 2D object tracking.<o:p></o:p></p><p class=MsoNormal><b>Part C</b> lectures will focus on autonomous UAV cinematography. Before mission execution, it is best simulated, using drone mission simulation tools.<o:p></o:p></p><p class=MsoNormal><b> <a name="_Hlk60825748"><o:p></o:p></a></b></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span style='mso-bookmark:_Hlk60825748'><b>Course lectures and programming workshops</b><o:p></o:p></span></p><span style='mso-bookmark:_Hlk60825748'></span><p class=MsoPlainText style='margin:0in'><strong><span style='font-family:"Calibri",sans-serif'>Part A (8 hours), Deep Learning and GPU programming</span></strong><o:p></o:p></p><p class=MsoPlainText style='margin:0in'><strong><span style='font-family:"Calibri",sans-serif;font-weight:normal'>Deep neural networks. Convolutional NNs.</span></strong><o:p></o:p></p><p class=MsoPlainText style='margin:0in'><strong><span style='font-family:"Calibri",sans-serif;font-weight:normal'>Parallel GPU and multi-core CPU architectures – GPU programming</span></strong><o:p></o:p></p><p class=MsoPlainText style='margin:0in'><strong><span style='font-family:"Calibri",sans-serif;font-weight:normal'>Image classification with CNNs.</span></strong><o:p></o:p></p><p class=MsoPlainText style='margin:0in'><strong><span style='font-family:"Calibri",sans-serif;font-weight:normal'>CUDA programming </span></strong><o:p></o:p></p><p class=MsoPlainText style='margin:0in'><strong><span style='font-family:"Calibri",sans-serif'>Part B (8 hours), Deep Learning for Computer Vision</span></strong><o:p></o:p></p><p class=MsoPlainText style='margin:0in'><strong><span style='font-family:"Calibri",sans-serif;font-weight:normal'>Deep learning for object/face detection.</span></strong><o:p></o:p></p><p class=MsoPlainText style='margin:0in'><strong><span style='font-family:"Calibri",sans-serif;font-weight:normal'>2D object tracking.</span></strong><o:p></o:p></p><p class=MsoPlainText style='margin:0in'><strong><span style='font-family:"Calibri",sans-serif;font-weight:normal'>PyTorch: Understand the core functionalities of an object detector. Training and deployment.</span></strong><o:p></o:p></p><p class=MsoPlainText style='margin:0in'><strong><span style='font-family:"Calibri",sans-serif;font-weight:normal'>OpenCV programming for object tracking.</span></strong><o:p></o:p></p><p class=MsoPlainText style='margin:0in'><strong><span style='font-family:"Calibri",sans-serif'>Part C (8 hours), Autonomous UAV cinematography</span></strong><o:p></o:p></p><p class=MsoPlainText style='margin:0in'><strong><span style='font-family:"Calibri",sans-serif;font-weight:normal'>Video summarization.</span></strong><o:p></o:p></p><p class=MsoPlainText style='margin:0in'><strong><span style='font-family:"Calibri",sans-serif;font-weight:normal'>UAV cinematography.</span></strong><o:p></o:p></p><p class=MsoPlainText style='margin:0in'><strong><span style='font-family:"Calibri",sans-serif;font-weight:normal'>Video summarization with Pytorch.</span></strong><o:p></o:p></p><p class=MsoPlainText style='margin:0in'><strong><span style='font-family:"Calibri",sans-serif;font-weight:normal'>Drone cinematography with Airsim.</span></strong><o:p></o:p></p><p class=MsoPlainText style='margin:0in'><b> </b><o:p></o:p></p><p class=MsoPlainText style='margin:0in'><b>You can use the following link for course registration:</b><o:p></o:p></p><p class=MsoPlainText style='margin:0in'><a href="https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2022/">https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2022/</a><o:p></o:p></p><p class=MsoPlainText><span lang=EN-US>For questions, please contact: Ioanna Koroni <</span><a href="mailto:koroniioanna@csd.auth.gr"><span lang=EN-US>koroniioanna@csd.auth.gr</span></a><span lang=EN-US>><o:p></o:p></span></p><p class=MsoPlainText style='text-align:justify'><span lang=EN-US>This programming short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and IEEE distinguished speaker. </span>He is the coordinator of the EC funded International AI Doctoral 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 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. 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 33800+ citations to his work and h-index 86+.<o:p></o:p></p><p class=MsoPlainText><o:p> </o:p></p><p class=MsoPlainText style='margin:0in'>Relevant links:<o:p></o:p></p><p class=MsoPlainText style='margin:0in'>1) Prof. I. Pitas:<o:p></o:p></p><p class=MsoPlainText style='margin:0in'><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></p><p class=MsoPlainText style='margin:0in'>2) Horizon2020 EU funded R&D project Aerial-Core: <a href="https://aerial-core.eu/">https://aerial-core.eu/</a><o:p></o:p></p><p class=MsoPlainText style='margin:0in'>3) Horizon2020 EU funded R&D project Multidrone: <a href="https://multidrone.eu/">https://multidrone.eu/</a><o:p></o:p></p><p class=MsoPlainText style='margin:0in'>4) International AI Doctoral Academy (AIDA): <a href="http://www.i-aida.org/">http://www.i-aida.org/</a><o:p></o:p></p><p class=MsoPlainText style='margin:0in'>5) Horizon2020 EU funded R&D project AI4Media: <a href="https://ai4media.eu/">https://ai4media.eu/</a><o:p></o:p></p><p class=MsoPlainText style='margin:0in'>6) AIIA Lab: <a href="https://aiia.csd.auth.gr/">https://aiia.csd.auth.gr/</a><o:p></o:p></p><p class=MsoPlainText style='margin:0in'> <o:p></o:p></p><p class=MsoPlainText style='margin:0in'>Sincerely yours<o:p></o:p></p><p class=MsoPlainText style='margin:0in'>Prof. I. Pitas<o:p></o:p></p><p class=MsoPlainText style='margin:0in'>Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab)<o:p></o:p></p><p class=MsoPlainText style='margin:0in'>Aristotle University of Thessaloniki, Greece<o:p></o:p></p><p class=MsoPlainText> <o:p></o:p></p><p class=MsoPlainText>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><o:p></o:p></p></div></div></div></body></html>