[visionlist] Early registration: Invitation to join 2022 Summer 'Programming short course and workshop on Deep Learning and Computer Vision', 24-26th August 2022
ioannakoroni at csd.auth.gr
Wed Jun 15 03:34:35 -04 2022
Dear Deep Learning, Computer Vision, Digital Media engineers, scientists and enthusiasts,
you are welcomed to register in the CVML e-course on ‘Programming short course and workshop on Deep Learning and Computer Vision’, 24-26th August 2022:
It will take place as a three-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece, providing a series of live lectures and programming workshops delivered through a tele-education platform (Zoom). Its focus is on upgrading your programming skills in various Deep Learning and Computer Vision topics. You will be provided programming exercises in Python, CUDA, PyTorch, OpenCV etc to this end. Application focus will be in Digital Media. They will be complemented with on-line video recorded lectures and lecture pdfs, to facilitate international participants having time difference issues and to enable you to study at own pace. You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture).
This course is part of the very successful CVML programming short course and workshop series that took place in the last four years.
Course description ‘Programming short course and workshop on Deep Learning and Computer Vision’
The programming short course and workshop e-course consists of 16 1-hour live lectures & workshops organized in two Parts (1 Part per day):
Part A will focus on Deep Learning and GPU programming.
Part B lectures will focus on deep learning algorithms for computer vision, namely on 2D object/face detection and 2D object tracking.
Part C lectures will focus on autonomous UAV cinematography. Before mission execution, it is best simulated, using drone mission simulation tools.
Course lectures and programming workshops
Part A (8 hours), Deep Learning and GPU programming
Deep neural networks. Convolutional NNs.
Parallel GPU and multi-core CPU architectures – GPU programming
Image classification with CNNs.
Part B (8 hours), Deep Learning for Computer Vision
Deep learning for object/face detection.
2D object tracking.
PyTorch: Understand the core functionalities of an object detector. Training and deployment.
OpenCV programming for object tracking.
Part C (8 hours), Autonomous UAV cinematography
Video summarization with Pytorch.
Drone cinematography with Airsim.
You can use the following link for course registration:
For questions, please contact: Ioanna Koroni < <mailto:koroniioanna at csd.auth.gr> koroniioanna at csd.auth.gr>
This programming short course is organized by Prof. I. Pitas, IEEE and EURASIP fellow and IEEE distinguished speaker. He is the coordinator of the EC funded International AI Doctoral Academy (AIDA <http://www.i-aida.org/> ), that is co-sponsored by all 5 European AI R&D flagship projects (H2020 ICT48). He was initiator and first Chair of the IEEE SPS Autonomous Systems Initiative. He is Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He was Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 249-top Computer Science and Electronics scientist internationally by Guide2research (2018). He has 33800+ citations to his work and h-index 86+.
1) Prof. I. Pitas:
https://scholar.google.gr/citations?user=lWmGADwAAAAJ <https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el> &hl=el
2) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/
3) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/
4) International AI Doctoral Academy (AIDA): http://www.i-aida.org/
5) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/
6) AIIA Lab: https://aiia.csd.auth.gr/
Prof. I. Pitas
Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab)
Aristotle University of Thessaloniki, Greece
Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml
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