Connectionists: Last call: Invitation to join Short Course 'Deep Learning and Computer Vision', 6-7th October 2021

[Ioanna Koroni]

Dear Machine Learning and Deep Neural Networks engineers, scientists and
enthusiasts,

 

you are welcomed to register in the  CVML Short e-course on 'Deep Learning
and Computer Vision',  6-7th October 2021:
http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi
sion-for-autonomous-systems-2021/

 

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, providing 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 6th 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 16 1-hour live lectures organized in two
Parts (1 Part per day):

Part A lectures (8 hours) provide an in-depth presentation to autonomous
systems imaging and the relevant architectures as well as a solid background
on the necessary topics of computer vision (Image acquisition, camera
geometry, Stereo and Multiview imaging, Mapping and Localization) and
machine learning (Introduction to neural networks, Perceptron,
backpropagation, Deep neural networks, Convolutional NNs).

Part B lectures (8 hours) provide in-depth views of the various topics
encountered in autonomous systems perception, ranging from vehicle
localization and mapping, to Neural SLAM, target detection and tracking.
Part B also contains application-oriented lectures on autonomous drones,
cars and marine vessels, e.g., drone mission planning for cinematography and
related applications (marine surveillance, infrastructure/building
inspection, car vision).

 

Course lectures


Part A: (first day, 8 lectures)


1.	Introduction to autonomous systems imaging
2.	 <http://icarus.csd.auth.gr/digital-image-and-videos> Digital Image
and Videos
3.	 <http://icarus.csd.auth.gr/camera-geometry/> Camera geometry
4.	 <http://icarus.csd.auth.gr/stereo-and-multiview-imaging-lecture>
Stereo and Multiview imaging
5.
<http://icarus.csd.auth.gr/artificial-neural-networks-perceptron-lecture>
Introduction to Artificial Neural Networks. Perceptron
6.
<http://icarus.csd.auth.gr/multilayer-perceptron-backpropagation-lecture>
Multilayer perceptron. Backpropagation
7.	Deep neural networks.
<http://icarus.csd.auth.gr/convolutional-neural-networks-lecture>
Convolutional NNs
8.	Introduction to multiple drone imaging


Part B: (second day, 8 lectures)


1.
<http://icarus.csd.auth.gr/3d-robot-localization-and-mapping-lecture>
Simultaneous Localization and Mapping
2.	 <http://icarus.csd.auth.gr/neural-slam-lecture/> Neural Slam
3.	 <http://icarus.csd.auth.gr/deep-object-detection-lecture> Deep
Object Detection
4.	2D Visual Object Tracking
5.	Drone mission planning and control
6.	Introduction to car vision
7.	Introduction to autonomous marine vehicles
8.	CVML Software Development Tools

 

 

You can use the following link for course registration:

http://icarus.csd.auth.gr/cvml-short-course-on-deep-learning-and-computer-vi
sion-for-autonomous-systems-2021/

 

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 at csd.auth.gr
<mailto:koroniioanna at 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 <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+.

 

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
<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/

 

Sincerely yours

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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