CVML Short e-course on Deep Learning and Computer Vision Call for Papers

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, 
23-24th August 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)

    Introduction to autonomous systems imaging
    Digital Image and Videos
    Camera geometry
    Stereo and Multiview imaging
    Introduction to Artificial Neural Networks. Perceptron
    Multilayer perceptron. Backpropagation
    Deep neural networks. Convolutional NNs
    Introduction to multiple drone imaging

Part B: (second day, 8 lectures)

    Simultaneous Localization and Mapping
    Neural Slam
    Deep Object Detection
    2D Visual Object Tracking
    Drone mission planning and control
    Introduction to car vision
    Introduction to autonomous marine vehicles
    CVML Software Development Tools


Though independent, the attendees of this short e-course will greatly benefit by attending the CVML Short e-course on "Computer Vision for Autonomous Systems" 25-27th August 2021:


You can use the following link for course registration:


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 


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:

2) Horizon2020 EU funded R&D project Aerial-Core:

3) Horizon2020 EU funded R&D project Multidrone:

4) International AI Doctoral Academy (AIDA):

5) Horizon2020 EU funded R&D project AI4Media:

6) AIIA Lab:


Sincerely yours

Prof. I. Pitas

Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab)

Aristotle University of Thessaloniki, Greece