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

you are welcomed to register in the CVML Short e-course on Deep Learning and Computer Vision,  22–23^th August 2022:

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

Its focus will be on applications in autonomous systems (cars, drones, marine vessels).

It will take place as a two-day e-course (due to COVID-19 circumstances), hosted by the Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece.

It will contain a series of live lectures delivered through a tele-education platform (Zoom). 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). You will be provided programming to improve your programming skills.

You will also have accesses to tutorial exercises to better your theoretical understanding of selected CVML topics.

This 6^th edition of this course is part of the very successful CVML short course series that took place in the last four years.

Course description ‘Deep Learning and Computer Vision’

The short e-course consists of 14 1-hour live lectures organized in two Parts (1 Part per day):

Part A lectures (7 hours) provide a solid background on the foundational Computer Vision  topics and an in-depth presentation to Autonomous Systems vision and the relevant architectures (Camera geometry, Stereo and Multiview imaging, Introduction to multiple drone systems,  Simultaneous Localization and Mapping, Drone mission planning and control, Introduction to autonomous marine vehicles).

Part B lectures (7 hours) provide an in-depth  presentation of various Deep Learning topics (Multilayer Perceptron, Backpropagation, Deep Neural Networks, Convolutional NNs, Deep Object Detection, 2D Visual Object Tracking, Neural Slam) encountered in autonomous systems perception, ranging from vehicle localization and mapping, to target detection and tracking.

Parts A, B also contain application-oriented lectures on autonomous systems embedded CPU/GPU computing and related SW tools that can be used in a wide range of applications, e.g., for land/marine surveillance, search&rescue missions, infrastructure/building inspection and modeling, cinematography.

Course lectures

Part A (7 hours)                            

1. Introduction to autonomous systems
2. Camera geometry
3. Stereo and Multiview imaging
4. Introduction to multiple drone systems
5. Simultaneous Localization and Mapping
6. Drone mission planning and control
7. Introduction to autonomous marine vehicles

Part B (7 hours)

1. Multilayer perceptron. Backpropagation
2. Deep neural networks. Convolutional NNs
3. Deep object detection
4. 2D Visual Object Tracking
5. Neural Slam
6. CVML Software development tools
7. Applications in car vision

Though independent, the attendees of this short e-course will greatly benefit by attending the CVML Programming Short Course and Workshop on Deep Learning and Computer Vision 2022, 24-26^th August 2022:

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

You can use the following link for course registration:

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

Lecture topics, sample lecture ppts and videos, self-assessment questionnaires, programming exercises and tutorial exercises can be found therein.

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 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+.

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) 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)

Chair of the International AI Doctoral Academy (AIDA)

Aristotle University of Thessaloniki, Greece

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