The Center for Education and Lifelong Learning of the Aristotle University of Thessaloniki welcomes you to the “Computer Vision and Machine Learning (CVML) and Autonomous Systems Web Lecture Series”, a 21 one-hour asynchronous e-course.
The Director of the Programme is Ioannis Pitas, Professor, School of Informatics, AUTh.
Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki (AUTH), Greece. Since 1994, he has been a Professor at the Department of Informatics of AUTH and Director of the Artificial Intelligence and Information Analysis (AIIA) lab. He served as a Visiting Professor at several Universities.
His current interests are in the areas of computer vision, machine learning, autonomous systems, intelligent digital media, image/video processing, human-centred computing, affective computing, 3D imaging and biomedical imaging. He has published over 1000 papers, contributed in 47 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past, he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 70 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 42 such projects. Prof. Pitas lead the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/. He is AUTH principal investigator in H2020 R&D projects Aerial Core and AI4Media. He is chair of the Autonomous Systems Initiative https://ieeeasi.signalprocessingsociety.org/. 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 31600+ citations to his work and h-index 85+ (Google Scholar).
Start Date: 08/01/2021
End of the course: 30/06/2021
Duration: 21 hours
The participants will receive a Certificate of attendance.
Applications are submitted online from 08/01/2020 to 30/06/2021
Aim and objectives
The aim of this course is to provide useful knowledge on topics related to “Computer Vision” and “Machine Learning” to young scientists.
Participant selection & Requirements
Priority order will be observed based on filing date up to 40 people.
The course aims at young professionals and academics.
Ø Mathematical background
Ø Internet access
Introduction to computer vision, Image acquisition, camera geometry, Stereo and Multiview imaging, Structure from motion, Localization and mapping, Object tracking and 3D localization, Motion estimation, Introduction to Machine Learning, Introduction to neural networks, Perceptron, Multilayer perceptron. Backpropagation, Deep neural networks. Convolutional NNs, Deep learning for object detection, Deep Semantic Image Segmentation, Introduction to autonomous systems, Introduction to multiple drone systems, Drone mission planning and control, Introduction to car vision, Introduction to autonomous marine vehicles, CVML programming tools, Fast 1D convolution algorithms, Fast 2D convolution algorithms.
More information: http://icarus.csd.auth.gr/cvml-web-lecture-series/
Ø PDF slides will be available.
Ø Video of lectures will be prerecorded.
Upon completion of the course, participants will be awarded a Certificate of attendance.
For the successful completion of the programme, each participant should:
A) has attended all the teaching units. Absences may not exceed 10% of the scheduled training hours.
B) has successfully completed more than 14 questionnaires (mark above 5/10).
C) to have paid all the tuition fees.
For further information, please contact with Mrs. Koroni Ioanna at firstname.lastname@example.org.