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CVML Programming short course and workshop on Deep Learning and Computer Vision

PROGRAM DURATION:

2022-08-24 - 2022-08-26 ( )

IMPLEMENTATION METHOD:

Remotely

DISCOUNT:

Based on discount policy

ECTS:
3,5
Tuition fees:
210 €
Program Director:
Ioannis Pitas

Form Submission is completed on

24-08-2022

CVML Programming short course and workshop on Deep Learning and Computer Vision

Form Submission is completed on

24-08-2022

INFORMATION

  • Short Description

    The Center for Education and Lifelong Learning of the Aristotle University of Thessaloniki welcomes you to the “CVML Programming short course and workshop on Deep Learning and Computer Vision”, a 18.5-hour online course via zoom application.

    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 1000 papers, contributed in 47 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 9 international journals and General or Technical Chair of 4 international conferences. He participated in 70 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 42 such projects. Prof. Pitas lead the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/. He is AUTH principal investigator in H2020 R&D projects Aerial Core and AI4Media. He is chair of the Autonomous Systems Initiative https://ieeeasi.signalprocessingsociety.org/. He is head of the EC funded AI doctoral school of Horizon2020 EU funded R&D project AI4Media (1 of the 4 in Europe). He has 32200+ citations to his work and h-index 85+ (Google Scholar).

    Lecturers:

    Charalampakis Evaggelos, PhD student, School of Informatics, AUTH

    Karakostas Iason-Evangellos, PhD student, School of Informatics, AUTH

    Kaseris Michail, PhD student, School of Informatics, AUTH

    Nousi Paraskevi, PhD student, School of Informatics, AUTH

    Papaioannidis Christos, PhD student, School of Informatics, AUTH

    Papadopoulos Sotirios, PhD student, School of Informatics, AUTH

    Patsiouras Emmanouil, PhD student, School of Informatics, AUTH

     

    Participation fees

    General Registration

    Early registration (till 15/07/2022): Standard: 200 Euros, Reduced registration for young professionals (up to 2 years after graduation): 100 Euros, Unemployed or Undergraduate/MSc/PhD student*: 50 Euros

    Registration (after 15/07/2022): Standard: 210 Euros, Reduced registration for young professionals (up to 2 years after graduation): 110 Euros, Unemployed or Undergraduate/MSc/PhD student*: 60 Euros

     

    AIDA Student Registration

    The AIDA Students are entitled 50% discount for Course registration in this course. They should belong to one of to AIDA members.

    Early registration (till 15/07/2022): Standard: 100 Euros, Reduced registration for young professionals (up to 2 years after graduation): 50 Euros, Unemployed or Undergraduate/MSc/PhD student*: 25 Euros

    Registration (after 15/07/2022): Standard: 105 Euros, Reduced registration for young professionals (up to 2 years after graduation): 55 Euros, Unemployed or Undergraduate/MSc/PhD student*: 30 Euro

    Όροι παρακολούθησης προγραμμάτων

  • Aim and objectives

    Aim and objectives

    The aim of this course is to provide useful knowledge on topics related to “Deep Learning and Computer Vision” to young scientists.

    Participant selection & Requirements

    Priority order will be observed based on filing date up to 56 people.

    The course aims at young professionals and academics.

    Requirements:

    •   Mathematical background
    •   Internet access
  • Format

    Method

    E-learning education

    Course Description

    Deep Learning and GPU programming: Deep neural networks. Convolutional NNs, Deep learning for target detection,

    Image classification with CNNs., Target detection with PyTorch.,

    Deep Learning for Computer Vision: 2D object tracking, PyTorch: Understand the core functionalities of an object detector. Training and deployment, OpenCV programming for object tracking

    Autonomous UAV cinematography: Video summarization, UAV cinematography, Video summarization with Pytorch, Drone cinematography with Airsim

    More information:

    CVML Programming Short Course and Workshop on Deep Learning and Computer Vision 2022

     

  • Educational Materials / Benefits

    Educational Material:

    •  PDF slides will be available to course attendees
    •  Lectures will be prerecorded to facilitate attendees in case they experience problems due to time difference.

    Certificate

    Upon completion of the course, participants will be awarded a Certificate of attendance.

    For the successful completion of the programme, the participants should:

    A) have attended more than 14 lectures.

    B) to have paid all the tuition fees by 24/08/2022.

  • Liabilities

    Evaluation

    There will not be.

  • Contact

    For further information, please contact with Mrs. Koroni Ioanna at koroniioanna@csd.auth.gr.

  • Regulation of Studies KEDIVIM AUTH
    Regulation of Studies Here
  • Complaints and Objections Regulation
    Complaints and Objections Regulation Here

PARTICIPATION COST

/ DISCOUNT POLICY

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