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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 and Deep Neural Networks</span><span lang=EN-US style='color:windowtext'> </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 e-course on ‘Programming short course and workshop on Deep Learning and Computer Vision’, 24</b></span><b><span lang=EN-US>-</span></b><b><span lang=EN-US style='color:windowtext'>26</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><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US style='color:windowtext'><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></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>It will take place as a</span><span lang=EN-US style='color:windowtext'> three-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 </span><span lang=EN-US style='color:windowtext'>and workshops </span><span lang=EN-US>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, 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 to improve your programming skills</span><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 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></span></p><p class=MsoPlainText><span lang=EN-US style='color:windowtext'><o:p> </o:p></span></p><h1><span lang=EN-US style='font-size:11.0pt'>Course description ‘Programming short course and workshop on Deep Learning and Computer Vision’<o:p></o:p></span></h1><p class=MsoPlainText><span lang=EN-US>The </span><span lang=EN-US style='color:windowtext'>programming short course and workshop </span><span lang=EN-US>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><b><span lang=EN-US style='color:windowtext'> & workshops</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=MsoPlainText><b><span lang=EN-US style='color:windowtext'>Part A</span></b><span lang=EN-US style='color:windowtext'> will focus on Deep Learning and GPU programming.<o:p></o:p></span></p><p class=MsoNormal><b><span lang=EN-US>Part B</span></b><span lang=EN-US> lectures will focus on deep learning algorithms for computer vision, namely on 2D object/face detection and 2D object tracking.<o:p></o:p></span></p><p class=MsoNormal><b><span lang=EN-US>Part C</span></b><span lang=EN-US> lectures will focus on autonomous UAV cinematography. Before mission execution, it is best simulated, using drone mission simulation tools.<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=MsoPlainText><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:windowtext'>Part A (8 hours), Deep Learning and GPU programming</span></strong><strong><span style='font-family:"Calibri",sans-serif;color:windowtext'><o:p></o:p></span></strong></p><p class=MsoPlainText><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:windowtext;font-weight:normal'>Deep neural networks. Convolutional NNs.<o:p></o:p></span></strong></p><p class=MsoPlainText><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:windowtext;font-weight:normal'>Parallel GPU and multi-core CPU architectures – GPU programming<o:p></o:p></span></strong></p><p class=MsoPlainText><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:windowtext;font-weight:normal'>Image classification with CNNs.<o:p></o:p></span></strong></p><p class=MsoPlainText><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:windowtext;font-weight:normal'>CUDA programming <o:p></o:p></span></strong></p><p class=MsoPlainText><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:windowtext'>Part B (8 hours), Deep Learning for Computer Vision<o:p></o:p></span></strong></p><p class=MsoPlainText><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:windowtext;font-weight:normal'>Deep learning for object/face detection.<o:p></o:p></span></strong></p><p class=MsoPlainText><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:windowtext;font-weight:normal'>2D object tracking.<o:p></o:p></span></strong></p><p class=MsoPlainText><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:windowtext;font-weight:normal'>PyTorch: Understand the core functionalities of an object detector. Training and deployment.<o:p></o:p></span></strong></p><p class=MsoPlainText><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:windowtext;font-weight:normal'>OpenCV programming for object tracking.<o:p></o:p></span></strong></p><p class=MsoPlainText><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:windowtext'>Part C (8 hours), Autonomous UAV cinematography<o:p></o:p></span></strong></p><p class=MsoPlainText><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:windowtext;font-weight:normal'>Video summarization.<o:p></o:p></span></strong></p><p class=MsoPlainText><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:windowtext;font-weight:normal'>UAV cinematography.<o:p></o:p></span></strong></p><p class=MsoPlainText><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:windowtext;font-weight:normal'>Video summarization with Pytorch.<o:p></o:p></span></strong></p><p class=MsoPlainText><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:windowtext;font-weight:normal'>Drone cinematography with Airsim.<o:p></o:p></span></strong></p><p class=MsoPlainText><b><o:p> </o:p></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="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></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>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>