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

 

you are welcomed to register to the 2021 Spring CVML e-School having focus on Deep Learning, Computer Vision and Autonomous Systems (cars, drones, marine vessels):

http://icarus.csd.auth.gr/spring-school-2021-cvml-short-course/

 

 

It will be hosted by the Artificial Intelligence and Information Analysis (AIIA) Lab, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece.

 

The 2021 Spring CVML e-school consists of 3 live short e-courses:

a)      ‘Computer Vision and Image Processing’, 17-18^th March 2021.

http://icarus.csd.auth.gr/cvml-short-course-computer-vision-image-processing/

 

b)      ‘Machine Learning and Deep Neural Networks’, 27-28^th April 2021.

http://icarus.csd.auth.gr/spring-cvml-short-course-machine-learning-and-deep-neural-networks/

 

c)       ‘Computer Vision for Autonomous Systems’, 5-6^th May 2021.

http://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-autonomous-system-perception/

 

and

d)      CVML Web Lecture Series: 17 CVML asynchronous Web courses containing 150 on-line asynchronous web lectures in total:

http://icarus.csd.auth.gr/cvml-web-lecture-series/

 

 

You can follow the above-mentioned links for registration on either live or asynchronous e-courses. For questions, please contact: Ioanna Koroni <koroniioanna@csd.auth.gr>

 

Each live e-course contains 16 live (and recorded) lectures and related material (slide pdfs, lecture videos, understanding questionnaires) providing an in-depth presentation of computer vision and deep learning problems algorithms with applications on Autonomous Systems (cars, drones, marine vessels).

 

All 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.

 

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 e-course on Computer Vision and Image Processing’, 17-18^th March 2021. http://icarus.csd.auth.gr/cvml-short-course-computer-vision-image-processing/

Part A Image Processing (first day, 8 lectures):

1. Introduction to Image Processing and Computer Vision
2. Image Formation
3. Image sampling
4. 2D Systems
5. Image Transforms
6. Fast 2D Convolution Algorithms
7. Image Perception
8. Image Filtering

Part B Computer Vision  (second day, 8 lectures):

1. Edge Detection
2. Region Segmentation. Texture Description
3. Shape Description
4. Image Acquisition. Camera Geometry
5. Stereo and Multiview Imaging
6. Structure from Motion
7. 3D Robot Localization and Mapping
8. Object Tracking

 

b)      ‘Short e-course on Machine Learning and Deep Neural Networks’, 27-28^th April 2021.

http://icarus.csd.auth.gr/spring-cvml-short-course-machine-learning-and-deep-neural-networks/

 

Part A: Deep Neural networks (first day, 8 lectures)

1. Introduction to Machine Learning
2. Artificial Neural Networks, Perceptron
3. Multilayer perceptron. Backpropagation
4. Deep neural networks. Convolutional NNs
5. Recurrent Neural Networks. LSTMs
6. Attention and Transformers
7. Deep learning for object detection
8. Deep Semantic Image Segmentation

Part B: Machine Learning. Pattern Recognition (second day, 8 lectures)

1. Generative Adversarial Networks
2. Data Clustering
3. Decision Surfaces. Support Vector Machines
4. Dimensionality Reduction
5. Kernel Methods
6. Bayesian Learning
7. Deep Reinforcement Learning
8. CVML Software Development Tools

 

c)      ‘Short e-course on ‘Computer Vision for Autonomous Systems’, 5-6^th May 2021.

http://icarus.csd.auth.gr/spring-cvml-short-course-computer-vision-for-autonomous-system-perception/

 

Part A Computer Vision (first day, 8 lectures):

1. Digital images and videos
2. Image Acquisition. Camera Geometry
3. Stereo and Multiview Imaging
4. Structure from Motion
5. 3D Robot Localization and Mapping
6. Neural 3D world modeling
7. Image/Point cloud registration
8. Deep semantic image segmentation

 

Part B Autonomous Systems  (second day, 8 lectures):

 

1. Autonomous Systems Sensors
2. Deep object detection
3. Object Tracking
4. Object Pose Estimation
5. Multiple Drone Systems
6. Autonomous Car Vision
7. Autonomous Surface Vessels
8. CVML Software Development Tools

 

 

d)      CVML Web Lecture Series: 17 CVML asynchronous Web courses  containing  150 on-line asynchronous web lectures in total:

http://icarus.csd.auth.gr/cvml-web-lecture-series/

 

1. Machine Learning (ML)                                                                                  (11 Lectures)
2. Neural Networks/Deep Learning                                                               (11 Lectures)
3. Computer Vision (CV)                                                                                     (10 Lectures)
4. Image Processing                                                                                             (20 Lectures)
5. 2D Computer Vision/Image Analysis                                                        (8 Lectures)
6. 3D Imaging                                                                                                         (2 Lectures)
7. Video Processing and Analysis                                                                    (12 Lectures)
8. Signal and Systems                                                                                          (12 Lectures)
9. Digital Signal Processing and Analysis                                                      (5 Lectures)
10. Human Centered Computing                                                                      (13 Lectures)
11. Network Theory/Social Media Analysis                                                   (9 Lectures)
12. Autonomous Systems and Robotics                                                          (7 Lectures)
13. Autonomous Cars                                                                                            (7 Lectures)
14. Autonomous Drones                                                                                      (13 Lectures)
15. Autonomous Marine Systems                                                                    (3 Lectures)
16. CVML Mathematical Foundations                                                             (5 Lectures)
17. CVML Development and Programming Tools                                        (3 Lectures)

 

Sincerely yours

Prof. I. Pitas

 

Estimados/as docentes investigadores/as:

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Secretaría de Investigación y Posgrado

FCyT – UADER