2022-08-24 - 2022-08-26 ( )
Remotely
Based on discount policy
Form Submission is completed on
Form Submission is completed on
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).
Lecturers:
Charalampakis Evaggelos, PhD student, School of Informatics, AUTH
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
Participation fees
General Registration
Early registration (till 15/07/2022): 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 15/07/2022): Standard: 210 Euros, Reduced registration for young professionals (up to 2 years after graduation): 110 Euros, Unemployed or Undergraduate/MSc/PhD student*: 60 Euros
AIDA Student Registration
The AIDA Students are entitled 50% discount for Course registration in this course. They should belong to one of to AIDA members.
Early registration (till 15/07/2022): Standard: 100 Euros, Reduced registration for young professionals (up to 2 years after graduation): 50 Euros, Unemployed or Undergraduate/MSc/PhD student*: 25 Euros
Registration (after 15/07/2022): Standard: 105 Euros, Reduced registration for young professionals (up to 2 years after graduation): 55 Euros, Unemployed or Undergraduate/MSc/PhD student*: 30 Euro
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.
Requirements:
Method
E-learning education
Course Description
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
More information:
CVML Programming Short Course and Workshop on Deep Learning and Computer Vision 2022
Educational Material:
Certificate
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 24/08/2022.
Evaluation
There will not be.
For further information, please contact with Mrs. Koroni Ioanna at koroniioanna@csd.auth.gr.
Developed by: AUTH IT CENTER