The Center for Education and Lifelong Learning of the Aristotle University of Thessaloniki welcomes you to the “CVML Programming short course and workshop on Deep Learning and Computer Vision”, a 18.5-hour online course via zoom application.
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 32200+ citations to his work and h-index 85+ (Google Scholar).
Karakostas Iason-Evangellos, PhD student, School of Informatics, AUTH
Kaseris Michail, PhD student, School of Informatics, AUTH
Nousi Paraskevi, PhD student, School of Informatics, AUTH
Papaioannidis Christos, PhD student, School of Informatics, AUTH
Papadopoulos Sotirios, PhD student, School of Informatics, AUTH
Patsiouras Emmanouil, PhD student, School of Informatics, AUTH
The participants will receive a Certificate of attendance.
Applications are submitted online from 06/07/2021 to 25/08/2021
Aim and objectives
The aim of this course is to provide useful knowledge on topics related to “Deep Learning and Computer Vision” to young scientists.
Participant selection & Requirements
Priority order will be observed based on filing date up to 56 people.
The course aims at young professionals and academics.
- Mathematical background
- Internet access
Deep Learning and GPU programming: Deep neural networks. Convolutional NNs, Deep learning for target detection,
Image classification with CNNs., Target detection with PyTorch.,
Deep Learning for Computer Vision: 2D object tracking, PyTorch: Understand the core functionalities of an object detector. Training and deployment, OpenCV programming for object tracking
Autonomous UAV cinematography: Video summarization, UAV cinematography, Video summarization with Pytorch, Drone cinematography with Airsim
- PDF slides will be available to course attendees
- Lectures will be prerecorded to facilitate attendees in case they experience problems due to time difference.
There will not be.
Upon completion of the course, participants will be awarded a Certificate of attendance.
For the successful completion of the programme, the participants should:
- A) have attended more than 14 lectures.
- B) to have paid all the tuition fees by 20/07/2021.
Early registration (till 20/07/2021): Standard: 200 Euros, Reduced registration for young professionals (up to 2 years after graduation): 100 Euros, Unemployed or Undergraduate/MSc/PhD student*: 50 Euros
Registration (after 20/07/2021): Standard: 210 Euros, Reduced registration for young professionals (up to 2 years after graduation): 110 Euros, Unemployed or Undergraduate/MSc/PhD student*: 60 Euros