CVML Programming Short Course and Workshop on Deep Learning and Computer Vision

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 2023”, a 21-hour course will take place at KEDEA, 3is Septemvriou – Panepistimioupoli, 54636, Thessaloniki, Greece.

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 920 papers, contributed to 45 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 13 international journals and General or Technical Chair of 5 international conferences. He delivered 98 keynote/invited speeches worldwide. He co-organized 33 conferences and participated in technical committees of 291 conferences. He participated in 75+ R&D projects, primarily funded by the European Union and is/was principal investigator in 47 such projects. He is the coordinator of the Horizon Europe R&D project TEMA, AUTH principal investigator in H2020 R&D projects Aerial Core, AI4Media (one of the 4 H2020 ICT48 AI flagship projects) and Horizon Europe R&D projects AI4Europe, SIMAR. He is chair of the International AI Doctoral Academy (AIDA) https://www.i-aida.org/. He was chair and initiator of the IEEE Autonomous Systems Initiative https://ieeeasi.signalprocessingsociety.org/. Prof. Pitas led the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/ He has 35200+ citations to his work and h-index 88+. According to https://research.com/ he is ranked first in Greece and 319 worldwide in the field of Computer Science (2022).

Email: [email protected]

AIIA Lab: https://aiia.csd.auth.gr/

Useful links:

https://scholar.google.gr/citations?hl=en&user=lWmGADwAAAAJ

https://research.com/university-rankings/computer-science/gr

The participants will receive a Certificate of Attendance.

Aim

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 40 people.

The course aims at young professionals and academics.

Requirements:

• Mathematical background
• Internet access

Method

On-site education.

Course Description

Deep neural networks, Convolutional NNs, Perception on Autonomous Systems, Autonomous Systems in Natural Disaster Management (NDM), Knowledge Distillation methods in DNNs, Image classification using CNNs, 2D object/face detection, 2D object tracking, Target detection with PyTorch, Target tracking with OpenCV, Real-Time Image Segmentation, Image Segmentation on Natural Disaster Optical Flow data.

More information:

https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2023

Educational Material:

• PDF slides will be available to course attendees

Evaluation/ Certificate

Upon completion of the course, participants will be awarded a Certificate of attendance.

For the successful completion of the programme, the participants should:

1. have complete the questionnaires with mark at least 5/10.
2. to have paid all the tuition fees by 30/08/2023.

Participation fees/Discount

Early registration (till 15/07/2023):

Standard: 200 Euros

• Reduced registration for young professionals (up to 2 years after graduation): 100 Euros
• Unemployed or Undergraduate/MSc/PhD student*: 50 Euros

Later or on-site registration (after 15/07/2023):

Standard: 200 Euros

• Reduced registration for young professionals (up to 2 years after graduation): 110 Euros
• Unemployed or Undergraduate/MSc/PhD student*: 60 Euro