Early registration: CVML Short Course on Deep Learning and Computer Vision, 28-29th August 2023

June 1st, 2023 Daniela Lopez de Luise

Dear Machine Learning, Computer Vision and Autonomous Systems engineers, scientists and enthusiasts,

you are welcomed to register in the CVML Short course on Deep Learning and Computer Vision,  28-29th August 2023:
https://icarus.csd.auth.gr/cvml-short-course-deep-learning-and-computer-vision-2023/  
with various Computer Vision and Deep Learning applications, e.g., for big visual data analysis, autonomous vehicles (drones, cars and marine vessels), digital media analysis, intelligent human-machine interaction,  anthropocentric (human-centered) computing, smart cities/buildings and assisted living, natural disaster management. 


It will take place at KEDEA Building, hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece.
The  course consists of 16 lectures, providing an in-depth presentation of many computer vision and deep learning hot topics, finding applications in big visual data analysis, autonomous vehicle vision, digital media analysis and human centered computing. There will be complemented with lecture pdfs to enable you to study at own pace. 

You can also self-assess your knowledge, by filling appropriate questionnaires (one per lecture).
You will be provided programming pointers to improve your skills.
You will also have access to tutorial exercises to better your theoretical understanding of selected CVML topics.
This 6th edtion of this course is part of the very successful CVML short course series that has been taking place in the last four years.

Course description ‘Deep Learning and Computer Vision’

 

The short course consists of 16 live lectures organized in two Parts (1 Part per day):
Part A lectures (8 hours) provide an in-depth presentation of Deep Neural Networks, which are at the forefront of AI advances today, starting with an introduction to Machine Learning. Then the cornerstone DNN theory and technologies are presented.
Part B lectures (8 hours) provide an in-depth presentation of both 2D and 3D Computer Vision theory and its applications in the above-mentioned diverse domains.  3D Computer Vision starts with a detailed presentation of camera geometry, including camera calibration.
 
 
Course lectures
Part A (8 hours), Deep Neural Networks topic list

 

  1. Multilayer perceptron. Backpropagation
  2. Deep neural networks. Convolutional NNs 
  3. Recurrent Neural Networks  
  4. Attention and Transformers
  5. Attention in Computer Vision
  6. Generative Adversarial Networks  
  7. Diffusion Models
  8. Deep Reinforcement Learning models 

 
Part B (8 hours) 2D and 3D Computer Vision topic list

 

  1. Camera geometry  
  2. Stereo and Multiview imaging  
  3. Structure from motion  
  4. Object detection and tracking 
  5. Region segmentation and pose estimation 
  6. Human action recognition 

 

 
Though independent, the attendees of this short course will greatly benefit by attending the CVML Programming Short Course and Workshop on Deep Learning and Computer Vision 2022, that will take place between August 30 and September 1, 2023:
http://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2023/
 
You can use the following link for course registration:
https://rc.auth.gr/product-list/single-product/125

 

For questions, please contact: Ioanna Koroni <koroniioanna@csd.auth.gr>
 
The 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 is Coordinator of the European Horizon2022 R&D project TEMA and 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 35500+ citations to his work and h-index 86+.
 
AUTH is ranked 153/182 internationally in Computer Science/Engineering, respectively, in USNews ranking.
 
Relevant links:
1) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el
2) Horizon2022 EU funded R&D project TEMA:  https://tema-project.eu/

3) Horizon2022 EU funded R&D project AI4EUROPE:  https://www.ai4europe.eu/

4) Horizon2020 EU funded R&D project Aerial-Core: https://aerial-core.eu/

5) Horizon2020 EU funded R&D project Multidrone: https://multidrone.eu/
6) International AI Doctoral Academy (AIDA): http://www.i-aida.org/
7) Horizon2020 EU funded R&D project AI4Media: https://ai4media.eu/
8) AIIA Lab: https://aiia.csd.auth.gr/
 
Sincerely yours
Prof. I. Pitas
Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab)
Chair of the International AI Doctoral Academy (AIDA)
Aristotle University of Thessaloniki, Greece

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