Call for Papers

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:

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

CUDA programming

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.

UAV cinematography.

Video summarization with Pytorch.

Drone cinematography with Airsim.

 

You can use the following link for course registration:

https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2022/

For questions, please contact: Ioanna
Koroni 

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), 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+.

 

Relevant links:

1) Prof. I. Pitas:

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


Sincerely yours
Prof. I. Pitas
Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab)
Aristotle University of Thessaloniki, Greece