Dear AI scientist/engineer/student/enthusiast,

Prof. Bernhard Schölkopf is Director of the Max Planck Institute for Intelligent Systems in Tübingen, Germany and holds a Professorship at ETH Zurich, Switzerland.

He is prominent top-cited AI researcher internationally and will deliver the e-lecture:

‘Symbolic, Statistical, and Causal Representations’, on Tuesday 13th July 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST),

see details in: http://www.i-aida.org/event_cat/ai-lectures/

You can join for free using the zoom link:  https://authgr.zoom.us/j/93712449902 & Password: 148148

The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, VISION, currently in the process of formation,

is very pleased to offer you top quality scientific lectures on several current hot AI topics.

Lectures will be offered alternatingly by:

Top highly-cited senior AI scientists internationally or

Young AI scientists with promise of excellence (AI sprint lectures).

This lecture will conclude the Spring 2021 series of 12 very successful and very well attended AI Excellence lectures offered by AIDA.

Lecture pdfs and videos can be found in: http://www.i-aida.org/event_cat/ai-lectures/

The next round of AIDA AI Excellence lectures series will start in September 2021.

The lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels).

If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list.

Best regards

Profs. M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, N. Sebe

you are welcomed to register to the 2021 Summer e-School on Deep Learning and Computer Vision:

http://icarus.csd.auth.gr/aiia-summer-school-on-autonomous-systems-2021/

It will take place on 23-27/08/2021 and will be hosted by the Artificial Intelligence and Information Analysis (AIIA) Lab, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece.

The summer e-school consists of two short e-courses:

a) ‘Short Course Computer Vision and Deep Learning 2021’, 23–24th August 2021, having focus on autonomous drones, cars and marine vessels:

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

b) ‘Programming short course and workshop on Deep Learning and Computer Vision 2021’, 25-27th August 2021, with applications in digital media and autonomous drones:

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

You can follow the above-mentioned links for registration on either or both e-courses.

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

The first e-course contains 16 live (and recorded) lectures providing an in-depth presentation of computer vision and deep learning problems algorithms with applications on autonomous drones, cars and marine vessels.

The second programming short e-course and workshop offers a mix of live (and recorded) lectures and programming workshops (hands-on lab exercises) and aims at developing registrants’ programming skills for Deep Learning and Computer Vision, with focus on drone imaging/cinematography and digital media applications.

Both short e-courses are organized by Prof. I. Pitas, IEEE and EURASIP fellow, He is AUTH prime investigation for H2020 project AerialCore, Coordinator of the European Horizon2020 R&D project Multidrone, Director of the Artificial Intelligence and Information analysis Lab (AIIA Lab), Aristotle University of Thessaloniki, Greece and Chair of the IEEE SPS Autonomous Systems Initiative. He is ranked 249 top Computer Science and Electronics Scientist internationally by Guide2research (2018).

Aristotle University of Thessaloniki is the biggest University in Greece and in SE Europe. It is highly ranked internationally.

Relevant links:

1. European Horizon2020 R&D projects Aerial-Core: https://aerial-core.eu/, Multidrone: https://multidrone.eu/, AI4Media: https://ai4media.eu/
2. AIIA Lab: http://www.aiia.csd.auth.gr/
3. Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el

Course descriptions

a) ‘Short Course Computer Vision and Deep Learning 2021’, 23-24th August 2021.

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

Part A (8 hours), Computer vision topic list

1. Introduction to autonomous systems imaging
2. Digital Image and Videos
3. Camera geometry
4. Stereo and Multiview imaging
5. Introduction to Artificial Neural Networks. Perceptron
6. Multilayer perceptron. Backpropagation
7. Deep neural networks. Convolutional NNs
8. Introduction to multiple drone imaging

Part B (8 hours) Deep learning topic list

1. Simultaneous Localization and Mapping
2. Neural Slam
3. 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

b)  ‘‘Programming short course and workshop on Deep Learning and Computer Vision 2021’, 25-27th August 2021.

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

Part A (8 hours), Deep learning and GPU programming sample topic list

1. Introduction to autonomous systems
2. Deep neural networks. Convolutional NNs
3. Parallel GPU and multi-core CPU architectures – GPU programming
4. Image classification with CNNs.
5. CUDA programming

Part B (8 hours), Deep Learning for Computer Vision sample topic list

1. Deep learning for object/face detection
2. 2D object tracking
3. PyTorch: Understand the core functionalities of an object detector. Training and deployment.
4. OpenCV programming for object tracking

Part C (8 hours), Autonomous UAV cinematography sample topic list

1. Video summarization
2. UAV cinematography
3. Video summarization with Pytorch
4. Drone cinematography with Airsim

Sincerely yours

Prof. I. Pitas