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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, Machine Learning and Autonomous Systems </span><span lang=EN-US>engineers, scientists and enthusiasts,<o:p></o:p></span></p><h1><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:windowtext'>you are welcomed to register in the ‘Computer Vision, Machine Learning and Autonomous Systems Web Lecture Series’.<o:p></o:p></span></h1><h4 style='margin-bottom:12.0pt;text-align:justify'><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif;font-weight:normal'>After the very successful completion of a) the Spring2020 edition of the CVML Web Lecture Series and b) the ‘Summer School on Autonomous Systems 2020’ 17-21/8/2020, attracting more than 100 registrants, AIIA Lab (AIIA.CVML research group) offers an asynchronous mode to study Computer Vision, Machine Learning and Autonomous Systems topics. CVML Web Lecture list is found below. Sample material of this course is available and lecture topics are provided as well.</span><span class=tadv-format-panel><span style='color:black'><o:p></o:p></span></span></h4><h4 style='text-align:justify'><span class=tadv-format-panel><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif;color:black;font-weight:normal'>This asynchronous e-course provides an overview and in-depth presentation of the various computer vision and deep learning problems encountered in autonomous systems perception, e.g. in drone imaging or autonomous car vision. It consists of 21 one-hour lectures and related material (ppt/pdf, self-assessment exercises, videos, 5 programming exercises), covering the following topics:</span></span><o:p></o:p></h4><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><b><span lang=EN-US>a. Computer vision.</span></b><span lang=EN-US> After reviewing image acquisition, camera geometry (mapping the 3D world on a 2D image plane) and camera calibration, stereo and multi-view imaging systems are presented for recovering 3D world geometry from 2D images. This is complemented by Structure from Motion (SfM) towards Simultaneous Localization and Mapping (SLAM) for vehicle and/or target localization and visual object tracking and 3D localization. Motion estimation algorithms are also overviewed. <br><b>b. Neural Networks and Deep Learning.</b> As there is much hype and often little accuracy, when treating these topics, first the principles of Machine Learning are presented, focusing on classification and egression. Then, an introduction to neural networks, provides rigorous formulation of the optimization problems for their training, starting with Perceptron. It continues with Multilayer perceptron training through Backpropagation, presenting many related problems, such as over-/under-fitting and generalization. Deep neural networks, notably Convolutional NNs are the core of this domain nowadays and they are overviewed in great detail. Their application on deep learning for object detection is a very important issue as well, complemented with a presentation of deep semantic image segmentation.<br><b>c. Autonomous Systems.</b> First of all, an introduction to Autonomous Systems (AS) provides an overview of various issues related to AS perception and control. Then topics related to autonomous drones are detailed, notably drone mission planning and control and multiple drone imaging. Then Autonomous cars and autonomous marine vehicles are overviewed.<br><b>d. CVML algorithms and programming.</b> Various such tools, libraries and frameworks are overviewed: Robotic Operating System (ROS), linear algebra libraries (BLAS), DNN libraries (e.g., cuBLAS, cuDNN) and frameworks (e.g., Pytorch, Tensorflow, Keras etc). Distributed computing frameworks (Apache Spark) and collaborative SW development tools are overviewed as well (e.g., GitHub). <br><b>e. Signals and Systems.</b> Much confusion exists nowadays in ML literature, as even mature ML scientists have no background on Signals and Systems (SS) and confuse even basic notions, e.g., convolutions and correlations. SS principles are overviewed, while focusing on fast convolution algorithms, particularly on 2D convolution algorithms that are an absolute must for CNN libraries/frameworks and many computer vision tasks.<o:p></o:p></span></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-web-lecture-series/">http://icarus.csd.auth.gr/cvml-web-lecture-series/</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 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><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'><o:p></o:p></span></p><p class=MsoPlainText><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'><o:p></o:p></span></p><p class=MsoPlainText><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</span><span lang=EN-US style='color:windowtext'><o:p></o:p></span></p><p class=MsoNormal style='text-align:justify'><span lang=EN-US>of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). He has 31600+ citations to his work <o:p></o:p></span></p><p class=MsoNormal style='text-align:justify'><span lang=EN-US>and h-index 85+.<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><b><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>LECTURES<br><strong><span style='font-family:"Calibri",sans-serif'>Computer vision</span></strong></span></b><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p></o:p></span></p><ol start=1 type=1><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l4 level1 lfo1'><span lang=EN-US style='color:purple'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/#cv_1"><strong><span style='font-family:"Calibri",sans-serif;color:purple'>Introduction to computer vision</span></strong></a></span><span lang=EN-US><o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l4 level1 lfo1'><span lang=EN-US style='color:purple'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/#cv_2"><strong><span style='font-family:"Calibri",sans-serif;color:purple'>Image acquisition, camera geometry</span></strong></a></span><span lang=EN-US><o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l4 level1 lfo1'><span lang=EN-US style='color:purple'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/#cv_3"><strong><span style='font-family:"Calibri",sans-serif;color:purple'>Stereo and Multiview imaging</span></strong></a></span><span lang=EN-US><o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l4 level1 lfo1'><span lang=EN-US style='color:purple'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/#cv_4"><strong><span style='font-family:"Calibri",sans-serif;color:purple'>Structure from motion</span></strong></a></span><span lang=EN-US><o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l4 level1 lfo1'><span lang=EN-US style='color:purple'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/#cv_5"><strong><span style='font-family:"Calibri",sans-serif;color:purple'>Localization and mapping</span></strong></a></span><span lang=EN-US><o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l4 level1 lfo1'><span lang=EN-US style='color:purple'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/#cv_6"><strong><span style='font-family:"Calibri",sans-serif;color:purple'>Object tracking and 3D localization</span></strong></a></span><span lang=EN-US><o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l4 level1 lfo1'><span lang=EN-US style='color:purple'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/#cv_7"><strong><span style='font-family:"Calibri",sans-serif;color:purple'>Motion estimation</span></strong><span style='color:purple'> </span></a></span><span lang=EN-US><o:p></o:p></span></li></ol><p><strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Machine Learning</span></strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p></o:p></span></p><ol start=1 type=1><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo2'><span lang=EN-US style='color:purple'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/#ml_1"><strong><span style='font-family:"Calibri",sans-serif;color:purple'>Introduction to Machine Learning</span></strong></a></span><span lang=EN-US><o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo2'><span lang=EN-US style='color:purple'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/#ml_2"><strong><span style='font-family:"Calibri",sans-serif;color:purple'>Introduction to neural networks, Perceptron</span></strong></a></span><span lang=EN-US><o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo2'><span lang=EN-US style='color:purple'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/#ml_3"><strong><span style='font-family:"Calibri",sans-serif;color:purple'>Multilayer perceptron. Backpropagation</span></strong></a></span><span lang=EN-US><o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo2'><span lang=EN-US style='color:purple'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/#ml_4"><strong><span style='font-family:"Calibri",sans-serif;color:purple'>Deep neural networks. Convolutional NNs</span></strong></a></span><span lang=EN-US><o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo2'><span lang=EN-US style='color:purple'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/#ml_5"><strong><span style='font-family:"Calibri",sans-serif;color:purple'>Deep learning for object detection</span></strong></a></span><span lang=EN-US><o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l1 level1 lfo2'><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:purple'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/#ml_6"><span style='color:purple'>Deep Semantic Image Segmentation</span></a></span></strong><span lang=EN-US><o:p></o:p></span></li></ol><p><strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Autonomous Systems</span></strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p></o:p></span></p><ol start=1 type=1><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l5 level1 lfo3'><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:purple'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/#as_1"><span style='color:purple'>Introduction to autonomous systems</span></a></span></strong><span lang=EN-US><o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l5 level1 lfo3'><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:purple'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/#as_2"><span style='color:purple'>Introduction to multiple drone systems</span></a></span></strong><span lang=EN-US><o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l5 level1 lfo3'><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:purple'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/#as_3"><span style='color:purple'>Drone mission planning and control</span></a></span></strong><span lang=EN-US><o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l5 level1 lfo3'><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:purple'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/#as_4"><span style='color:purple'>Introduction to car vision</span></a></span></strong><span lang=EN-US><o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l5 level1 lfo3'><strong><span lang=EN-US style='font-family:"Calibri",sans-serif;color:purple'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/#as_5"><span style='color:purple'>Introduction to autonomous marine vehicles</span></a></span></strong><span lang=EN-US><o:p></o:p></span></li></ol><p><strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>CVML algorithms and programming</span></strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p></o:p></span></p><ol start=1 type=1><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l0 level1 lfo4'><span lang=EN-US style='color:purple'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/#cvml_1"><strong><span style='font-family:"Calibri",sans-serif;color:purple'>CVML programming tools</span></strong></a></span><span lang=EN-US><o:p></o:p></span></li></ol><p><strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Signals and Systems</span></strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p></o:p></span></p><ol start=1 type=1><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo5'><span lang=EN-US style='color:purple'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/#ss_1"><strong><span style='font-family:"Calibri",sans-serif;color:purple'>Fast 1D convolution algorithms</span></strong></a></span><span lang=EN-US><o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l3 level1 lfo5'><span lang=EN-US style='color:purple'><a href="http://icarus.csd.auth.gr/cvml-web-lecture-series/#as_2"><strong><span style='font-family:"Calibri",sans-serif;color:purple'>Fast 2D convolution algorithms</span></strong></a></span><span lang=EN-US><o:p></o:p></span></li></ol><h4><strong><span style='font-size:11.0pt;font-family:"Calibri",sans-serif'><o:p> </o:p></span></strong></h4><h4><strong><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>CVML PROGRAMMING EXERCISES</span></strong><o:p></o:p></h4><p><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>Υou can improve your programming knowledge on Computer Vision, Machine Learning and Image/Video Processing topics through programming exercises using OpenCV, PyTorch and CUDA on the following topics:<o:p></o:p></span></p><ol start=1 type=1><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo6'><span lang=EN-US style='color:purple'><a href="https://aiia.csd.auth.gr/introduction-to-opencv-programming/"><span style='color:purple'>Introduction to OpenCV Programming</span></a></span><span lang=EN-US><o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo6'><span lang=EN-US><a href="https://aiia.csd.auth.gr/cnn-image-classification/"><span style='color:purple'>CNN image classification</span></a><o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo6'><span lang=EN-US style='color:purple'><a href="https://aiia.csd.auth.gr/pytorch-for-deep-object-detecti%ce%bfn-exercise/"><span style='color:purple'>PyTorch for deep object detection</span></a></span><span lang=EN-US><o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo6'><span lang=EN-US><a href="https://aiia.csd.auth.gr/opencv-object-tracking-exercise/"><span style='color:purple'>OpenCV programming for object tracking</span></a><o:p></o:p></span></li><li class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto;mso-list:l2 level1 lfo6'><span lang=EN-US><a href="https://aiia.csd.auth.gr/cuda-programming-of-2d-convolution-algorithms/"><span style='color:purple'>CUDA programming of 2D convolution algorithms</span></a><o:p></o:p></span></li></ol><h4><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>SELF-ASSESSMENT<o:p></o:p></span></h4><p><span lang=EN-US style='font-size:11.0pt;font-family:"Calibri",sans-serif'>You can now assess your CVML knowledge and background by performing the exercise described in: <br><strong><span style='font-family:"Calibri",sans-serif;color:#993366'><a href="https://aiia.csd.auth.gr/cvml-knowledge-self-assessment/"><span style='color:#993366'>https://aiia.csd.auth.gr/cvml-knowledge-self-assessment/</span></a></span></strong><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 to<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US>the CVML email list, following instructions in<o:p></o:p></span></p><p class=MsoPlainText><span lang=EN-US><a href="https://lists.auth.gr/sympa/info/cvml">https://lists.auth.gr/sympa/info/cvml</a><o:p></o:p></span></p></div><div id="DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2"><br />
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