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2023-08-28 - 2023-08-29 ( 16 ώρες )
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Η υποβολή αιτήσεων ολοκληρώνεται στις
The Center for Education and Lifelong Learning of the Aristotle University of Thessaloniki welcomes you to the “CVML Short Course on Deep Learning and Computer Vision”, a 16-hour course will take place at KEDEA, 3is Septemvriou – Panepistimioupoli, 54636, Thessaloniki, Greece.
The Director of the Programme is Ioannis Pitas, Professor, School of Informatics, AUTh.
Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki (AUTH), Greece. Since 1994, he has been a Professor at the Department of Informatics of AUTH and Director of the Artificial Intelligence and Information Analysis (AIIA) lab. He served as a Visiting Professor at several Universities.
His current interests are in the areas of computer vision, machine learning, autonomous systems, intelligent digital media, image/video processing, human-centred computing, affective computing, 3D imaging and biomedical imaging. He has published over 920 papers, contributed to 45 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 13 international journals and General or Technical Chair of 5 international conferences. He delivered 98 keynote/invited speeches worldwide. He co-organized 33 conferences and participated in technical committees of 291 conferences. He participated in 75+ R&D projects, primarily funded by the European Union and is/was principal investigator in 47 such projects. He is the coordinator of the Horizon Europe R&D project TEMA, AUTH principal investigator in H2020 R&D projects Aerial Core, AI4Media (one of the 4 H2020 ICT48 AI flagship projects) and Horizon Europe R&D projects AI4Europe, SIMAR. He is chair of the International AI Doctoral Academy (AIDA) https://www.i-aida.org/. He was chair and initiator of the IEEE Autonomous Systems Initiative https://ieeeasi.signalprocessingsociety.org/. Prof. Pitas led the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/ He has 35200+ citations to his work and h-index 88+. According to https://research.com/ he is ranked first in Greece and 319 worldwide in the field of Computer Science (2022).
Email: pitas@csd.auth.gr
AIIA Lab: https://aiia.csd.auth.gr/
Useful links:
https://scholar.google.gr/citations?hl=en&user=lWmGADwAAAAJ
https://research.com/university-rankings/computer-science/gr
The aim of this course is to provide useful knowledge on topics related to “Deep Learning and Computer Vision” to young scientists.
Priority order will be observed based on filing date up to 40 people.
The course aims at young professionals and academics.
Requirements:
On-site education.
Multilayer perceptron. Backpropagation, Deep neural networks. Convolutional NNs, Recurrent Neural Networks. LSTMs, Attention and Transformers, Attention in Computer Vision, Generative Adversarial Networks, Diffusion Models, Deep Reinforcement Learning, Camera Geometry, Stereo and Multiview Imaging, Structure from Motion, Object Detection, Object Tracking, Region Segmentation, Pose Estimation, Human Action Recognition.
More information:
https://icarus.csd.auth.gr/cvml-short-course-deep-learning-and-computer-vision-2023
Upon completion of the course, participants will be awarded a Certificate of attendance.
For the successful completion of the programme, the participants should:
For further information, please contact with Mrs. Koroni Ioanna at koroniioanna@csd.auth.gr.
Early registration (till 15/07/2023):
Standard: 300€
Registration (after 15/07/2023):
2023-08-28 - 2023-08-29 ( 16 ώρες )
2023-08-28 - 2023-08-29 ( 16 ώρες )
Εξ αποστάσεως
Βάσει εκπτωτικής πολιτικής
The Center for Education and Lifelong Learning of the Aristotle University of Thessaloniki welcomes you to the “CVML Short Course on Deep Learning and Computer Vision”, a 16-hour course will take place at KEDEA, 3is Septemvriou – Panepistimioupoli, 54636, Thessaloniki, Greece.
The Director of the Programme is Ioannis Pitas, Professor, School of Informatics, AUTh.
Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki (AUTH), Greece. Since 1994, he has been a Professor at the Department of Informatics of AUTH and Director of the Artificial Intelligence and Information Analysis (AIIA) lab. He served as a Visiting Professor at several Universities.
His current interests are in the areas of computer vision, machine learning, autonomous systems, intelligent digital media, image/video processing, human-centred computing, affective computing, 3D imaging and biomedical imaging. He has published over 920 papers, contributed to 45 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 13 international journals and General or Technical Chair of 5 international conferences. He delivered 98 keynote/invited speeches worldwide. He co-organized 33 conferences and participated in technical committees of 291 conferences. He participated in 75+ R&D projects, primarily funded by the European Union and is/was principal investigator in 47 such projects. He is the coordinator of the Horizon Europe R&D project TEMA, AUTH principal investigator in H2020 R&D projects Aerial Core, AI4Media (one of the 4 H2020 ICT48 AI flagship projects) and Horizon Europe R&D projects AI4Europe, SIMAR. He is chair of the International AI Doctoral Academy (AIDA) https://www.i-aida.org/. He was chair and initiator of the IEEE Autonomous Systems Initiative https://ieeeasi.signalprocessingsociety.org/. Prof. Pitas led the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/ He has 35200+ citations to his work and h-index 88+. According to https://research.com/ he is ranked first in Greece and 319 worldwide in the field of Computer Science (2022).
Email: pitas@csd.auth.gr
AIIA Lab: https://aiia.csd.auth.gr/
Useful links:
https://scholar.google.gr/citations?hl=en&user=lWmGADwAAAAJ
https://research.com/university-rankings/computer-science/gr
The aim of this course is to provide useful knowledge on topics related to “Deep Learning and Computer Vision” to young scientists.
Priority order will be observed based on filing date up to 40 people.
The course aims at young professionals and academics.
Requirements:
On-site education.
Multilayer perceptron. Backpropagation, Deep neural networks. Convolutional NNs, Recurrent Neural Networks. LSTMs, Attention and Transformers, Attention in Computer Vision, Generative Adversarial Networks, Diffusion Models, Deep Reinforcement Learning, Camera Geometry, Stereo and Multiview Imaging, Structure from Motion, Object Detection, Object Tracking, Region Segmentation, Pose Estimation, Human Action Recognition.
More information:
https://icarus.csd.auth.gr/cvml-short-course-deep-learning-and-computer-vision-2023
Upon completion of the course, participants will be awarded a Certificate of attendance.
For the successful completion of the programme, the participants should:
For further information, please contact with Mrs. Koroni Ioanna at koroniioanna@csd.auth.gr.
Multilayer perceptron. Backpropagation, Deep neural networks. Convolutional NNs, Recurrent Neural Networks. LSTMs, Attention and Transformers, Attention in Computer Vision, Generative Adversarial Networks, Diffusion Models, Deep Reinforcement Learning, Camera Geometry, Stereo and Multiview Imaging, Structure from Motion, Object Detection, Object Tracking, Region Segmentation, Pose Estimation, Human Action Recognition.
More information:
https://icarus.csd.auth.gr/cvml-short-course-deep-learning-and-computer-vision-2023
Upon completion of the course, participants will be awarded a Certificate of attendance.
For the successful completion of the programme, the participants should:
Early registration (till 15/07/2023):
Standard: 300€
Registration (after 15/07/2023):
Τμήμα Διοικητικής Υποστήριξης ΚΕΔΙΒΙΜ ΑΠΘ
Τηλέφωνα: +30 2310 99 67 -82, -88, -83, -81
E-mail: kedivim@auth.gr
Ανάπτυξη: Κέντρο Ηλεκτρονικής Διακυβέρνησης ΑΠΘ
Τμήμα Διοικητικής Υποστήριξης ΚΕΔΙΒΙΜ ΑΠΘ
Τηλέφωνα: +30 2310 99 67 -82, -88, -83, -81
E-mail: kedivim@auth.gr
Ανάπτυξη: Κέντρο Ηλεκτρονικής Διακυβέρνησης ΑΠΘ