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

you are welcomed to register to the 2023 Summer School on Deep Learning and Computer Vision:

https://icarus.csd.auth.gr/aiia-cvml-summer-school-on-deep-learning-and-computer-vision-2023/

It will take place on the 28th August – 1st September 2023 and will be hosted by the Artificial Intelligence and Information Analysis (AIIA) Lab, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece.

The summer school consists of two short courses:

a) ‘Short Course on Deep Learning and Computer Vision 2023’, 28^th – 29^th 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, industrial surveillance, smart cities/buildings and assisted living, natural disaster management and

b) ‘Programming short course and workshop on Deep Learning and Computer Vision 2023’, 30^th August – 1^st September 2023:

https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2023/

with applications in autonomous systems vision/perception and visual data/social media analysis for natural disaster management.

You can follow the above-mentioned links to register to either one or both courses.

For questions, please contact: Ioanna Koroni <koroniioanna@csd.auth.gr>

The first course consists of 16 lectures providing an in-depth presentation of many computer vision and deep learning problems algorithms, as applied e.g., in big visual data analysis, autonomous vehicle vision, digital media analysis and human centered computing.

The second programming short course and workshop offers a mix of lectures and programming workshops (hands-on lab exercises). It aims at developing registrants’ programming skills for Deep Learning and Computer Vision, with focus on digital/social media analysis for Autonomous Systems and also on Natural Disaster Management.

For both courses, the acquired skills can be used in a multitude of other applications that involve vision and/or natural language processing tasks.

Both short courses are organized by Prof. I. Pitas, IEEE and EURASIP fellow, He is chair of the International AI Doctoral Academy (AIDA), AUTH prime investigation for H2020 projects AerialCore and AI4Media, and Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece. He was Chair of the IEEE SPS Autonomous Systems Initiative and Coordinator of the European Horizon2020 R&D project Multidrone. He is ranked 319^th in Computer Science and Electronics Scientists internationally by research.com (2022).

Aristotle University of Thessaloniki is the biggest University in Greece and in SE Europe. It is highly ranked internationally. Thessaloniki is a very pleasant and popular summer destination in Greece.

Relevant links:

• European Horizon2020 R&D projects AI4Media: https://ai4media.eu/, TEMA: https://tema-project.eu/ , SIMAR: https://simar-project.eu/ , Aerial-Core: https://aerial-core.eu/, AI4Europe: https://www.ai4europe.eu/, Multidrone: https://multidrone.eu/,
• AIIA Lab: http://www.aiia.csd.auth.gr/
• International AI Doctoral Academy (AIDA) https://www.i-aida.org/
• Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el

Course descriptions

 a) ‘Short Course on Deep Learning and Computer Vision 2023’, 28^th– 29^th August 2023.

 https://icarus.csd.auth.gr/cvml-short-course-deep-learning-and-computer-vision-2023/

 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. Deep Reinforcement Learning models
6. Generative Adversarial Networks
7. Diffusion 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 

 b)  ‘Programming short course and workshop on Deep Learning and Computer Vision 2023’, 30^th August – 1^st September 2023.

https://icarus.csd.auth.gr/cvml-programming-short-course-and-workshop-on-deep-learning-and-computer-vision-2023/

 Part A (8 hours) Deep Learning for Autonomous Systems

• Deep neural networks – Convolutional NNs
• Knowledge Distillation in Deep Neural Networks
• Programming workshop on Deep neural networks – Convolutional NNs
• Programming workshop on Knowledge Distillation in Deep Neural Networks

 Part B (8 hours) Autonomous Systems Perception

• Real Time Object Detection
• 2D Object Tracking in Embedded Systems
• Programming workshop on Real Time Object Detection
• Programming workshop on 2D Object Tracking in Embedded Systems

 Part C (8 hours) Big Data Analytics and Autonomous Systems in Natural Disaster Management

• Real-Time Image Segmentation
• Natural Language Processing for Natural Disaster Management
• Programming workshop on Real-Time Image Segmentation
• Programming workshop on Natural Language Processing for Natural Disaster Management

Sincerely yours

Prof. I. Pitas

Director of the Artificial Intelligence and Information Analysis Lab (AIIA Lab), AUTH

Chair of the International AI Doctoral Academy (AIDA)

Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml

We are happy to announce the Workshop on Advances of Mobile and Wearable Biometrics, held within the ACM International Conference on Mobile Human-Computer Interfaces (MobileHCI), 2023. The workshop will allow both in person and online participation and it will take place on September 26, 2023, in Athens, Greece.

Short description:

The rapid digitalization of society, together with the pervasiveness of mobile and wearable devices, is creating unprecedented Human-Computer Interaction (HCI) scenarios. Mobile devices such as smartphones, tablets, and wearables have high computing and connectivity capabilities, and they are provided with several sensors that are able to acquire a vast amount of biometric information, for purposes such as security (user recognition systems), health and fitness (activity trackers), user profiling (social media and e-commerce), etc. The availability of such a massive amount of information, and the widespread use of mobile and wearable biometric systems have raised concerns among the technical people as well as the general public regarding aspects such as the performance, reliability, protection of privacy, bias, misuse, regulations, and their impact on society.

In light of the above, it is therefore of paramount importance to design feasible and effective solutions, compliant with new specifications accounting for social good. The workshop will highlight the recent developments in the evolving areas of mobile and wearable biometric systems in relation to such concerns. 

Topics of interest include, but are not limited to:

§  Physiological biometrics (fingerprint, face, iris, vein, etc.);

§  Behavioral biometrics (signature, keystroke, gait, etc.);

§  Cognitive biometrics (ECG, PPG, EDA, EEG, etc.);

§  Attacks at biometric systems;

§  Biometric template protection schemes;

§  Privacy preserving solutions;

§  Multibiometric recognition systems;

§  Machine learning with limited computational resources;

§  Usability, interfaces, and human factors;

§  Database collection;

§  Ethical, legal and psychological perspectives.

We invite submissions in three formats:

1. Position papers / extended abstracts: 2 pages (excluding references). They should describe new, previously, or concurrently published research or work-in-progress
2. Journal paper presentations. They should be in the format of the full paper or an extended abstract (2 pages, excluding references).
3. Full length papers: 4-8 pages (excluding references). They should describe new work that has not been previously published, accepted for publication, or submitted for review at another venue during our review period.

See here for more information.

The submission deadline is on June 15th, 2023. Accepted submissions will be distributed in the workshop proceedings via CEUR-WS.org. The authors will retain copyrights of the submissions, hence they can resubmit revised versions to any other conference or journal.

Depending on the number of full-length papers we receive, we might edit a Q1/Q2 journal special issue (for example Pattern Recognition Letters) inviting extended versions of the best workshop submissions presenting new work.

Workshop webpage: https://sites.google.com/view/wamwb/

Many thanks.

Best regards,

Giuseppe Stragapede, Ruben Vera-Rodriguez, Ruben Tolosana

Workshop Chairs