Computer Vision and Deep Learning

Topic outline

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  General

  
  

  Welcome to the home page of the Computer Vision and Deep Learning course!

  Description

  In this course, the basics of Computer Vision and Deep Learning are covered. Starting in the week from 2nd to 8th of October and finishing in the week from 4th to 10th of December, in each week there will be a lecture video uploaded to this page. In addition, there will be five recorded live sessions, where we discuss the contents of the lectures. The dates for these live sessions are:

  1. Thursday, 5.10.2023, 18:00 to 19:00.
  2. Thursday, 19.10.2023, 18:00 to 19:30.
  3. Thursday, 9.11.2023, 18:00 to 20:00.
  4. Friday, 24.11.2023, 18:00 to 19:30.
  5. Tuesday, 5.12.2023, 18:00 to 19:00.

  
  

  Furthermore, we will have one more live session for your projects and organization:

  • Tuesday, 16.1.2024, 18:00 to 19:00

  
  

  For the live sessions we use this Zoom meeting.

  Besides lecture videos and discussions, there will be additional material for self-study, and, later in the semester, there will be some exercises aiming to deepen the understanding of the introduced topics, which are not graded, but discussed in the live sessions.

  Grading

  The grading of the course is based both on a course project, weighted with 70%, and an online exam or a personal written report, weighted with 30%. The dates will be:

  • Monday, 11.3.2024, 18:00 to 19:00, for the online exam if chosen
  • Tuesday, 12.3.2024, 18:00, for the final project presentations (20 min presentation + questions)
  • Wednesday, 20.3.2024, 23:59, for submission of the individual course report if chosen

  Program

  This course is offered in the xAIM's master's program. The course is co-financed by the European Commission instrument "Connecting Europe Facility (CEF) Telecom" through the project "eXplainable Artificial Intelligence in healthcare Management project" (2020-EU-IA-0098), grant agreement number INEA/CEF/ICT/A2020/ 2276680.

  Copyright

  This material is offered under a Creative Commons CC BY-NC-ND 4.0 license.

  • Choice of exam format Feedback

    Please select until Friday, 8.3.2024, whether you want to participate in the online test or prefer to submit a personal written course report instead.

  • Online test Quiz
  • Course project materials Assignment

    After the presentation on Tuesday, 12.3.2023, please submit your presentation slides and project report for grading. The deadline for submission is Wednesday, 20.3.2024, 23:59.

  • Individual course report Assignment

    As an alternative to participating in the online test, you can submit a personal written report summarizing what you have learnt in the lectures until Wednesday, 20.3.2024, 23:59.

  • Announcements Forum
  • Discord URL
  • Email URL
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  Week 1

  • [Lecture] Image, filtering, convolution URL
  • [Slides] Image, filtering, convolution File
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    There is a live session this Thursday, 18:00 to 19:00.

  • [Recording] Session 1 URL
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  Week 2

  • [Lecture] Histograms, data-driven approach, classification, knn URL
  • [Slides] Histograms, data-driven approach, classification, knn File
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  Week 3

  • [Lecture] Image classification, linear classifier URL
  • [Slides] Image classification, linear classifier File
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    There is a live session this Thursday, 18:00 to 19:30.

  • [Recording] Session 2 URL
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  Week 4

  • [Lecture] Deep learning, convolutional neural networks URL
  • [Slides] Deep learning, convolutional neural networks File
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  Week 5

  • [Lecture] Convolutional neural network architectures, backpropagation URL
  • [Slides] Convolutional neural network architectures, backpropagation File
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  Week 6

  • [Lecture] Recurrent neural networks URL
  • [Slides] Recurrent neural networks File
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    There is a live session this Thursday, 18:00 to 20:00.

  • [Recording] Session 3 URL
  • Assignment File

    This assignment is not graded. Solutions will be discussed in our meeting on 5th of December.
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  Week 7

  • [Lecture] Transformers URL
  • [Slides] Transformers File
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  Week 8

  • [Lecture] Network visualization URL
  • [Slides] Network visualization File
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    There is a live session this Friday, 18:00 to 19:30.

  • [Recording] Session 4 URL
  • Project proposals File
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  Week 9

  • This is bonus material which we think might be interesting for you, but is not relevant for final exam:
    

  • [Video] Deep Learning in Medical Imaging (Ben Glocker, Imperial College London) URL
  • [Video] Deep learning approaches for MRI research: How it works (Kamlesh Pawar, Monash University) URL
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  Week 10

  • This is bonus material which we think might be interesting for you, but is not relevant for final exam:
    

  • [Video] MICCAI Industrial Talk: Foundation/Big Models for Medical Image Segmentation URL
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    There is a live session this Tuesday, 18:00 to 19:00.

  • [Recording] Session 5 URL
  • Solutions File

    Example solution code for the ungraded assignment.
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  Weeks 11 - 15

  • There are no live sessions during this period.
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  Week 16

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    There is a live session this Tuesday, 16.1.2024, 18:00 to 19:00, where we discuss the progress of your group projects and talk about whether we should postpone the project deadline and online exam (taking into account that the exam phase has been extended).

  • [Recording] Project Meeting URL
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  Weeks 17 - 19

  • There are no live sessions during this period.
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  Last Weeks

  • Monday, 11.3.2024, 18:00, we have the online exam (1 hour) for those who have chosen this option, and Tuesday, 12.3.2024, 18:00, we have the final project presentations of your projects (20 min per project). Wednesday, 20.3.2024, 23:59, we have the deadline for the submission of the individual course report and project materials.