At a glance
The second edition of the DLCV (Deep Learning and Computer Vision) School, born from the synergy of two crash courses, is meant for a theoretical and hands-on introduction to basic principles of deep architectures, computer vision algorithms and their strong connections. DLCV is open to students, postdocs, faculty members and professionals, upon selection.
The school will take place exclusively in person, it will not be streamed online.
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Deep Learning is a branch of Machine Learning that has recently achieved impressive results in several different domains. Computer Vision is unquestionably one of the fields where Deep Learning shows the most astonishing performance in the real world. This school, composed of two crash courses in synergy, will cover basic principles of deep architectures, with a focus on visual data. At the same time, it will provide a complementary introduction to basic principles of computer vision and visual perception in artificial agents.
A guided tour on recent deep learning approaches for computer vision tasks will also be provided. Besides the analysis of well-established approaches, the course will highlight current trends, open problems, and potential future lines of research. -
The theoretical classes will be coupled with hands-on activities in Python using Keras and OpenCV libraries. Starting from the basics of neural networks and computer vision, we will dive into more complex approaches, currently at the state-of-the-art. The last day of the school will be focused on a project developed in groups, which will be the basis of the final evaluation. Still, all participants are welcome to attend as this activity is a part of the educational objectives of the school.
During this intense week, a poster session and aperitif will be organized, an occasion for an informal discussion about your current and future research! Although DLCV is conceived as a school, the two courses can also be taken independently. -
Fundamentals of Machine Learning
Logistics
The school will be held in our beautiful Genova, in the DIBRIS/DIMA building in Via Dodecaneso 35, 16146, home of MaLGa Center.
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The course will be held in the DIBRIS Department building of Via Dodecaneso 35, Genova. Indications to the classroom will be visible at the entrance. You will have access to vending machines during the breaks betweein classes. You can bring your own laptop, but please keep into consideration that, due to the number of expected participants, your battery should be fully charged.
We will have a 1.5-hour lunch break every day: although there is a bar close to the department, you are encouraged to bring your own lunch and enjoy the break with your peers. There are common areas just out of the classroom where you will be able to sit and have lunch.
Speakers & instructors
Classes will be held by Professors from the DIBRIS Department and members of the MaLGa Center faculty body, with the support of MaLGa researchers.
Programme
DLCV is conceived as a school, and the programme of the courses is perfectly integrated during the week. Nevertheless, participants can choose to register to one crash course only, either Deep Learning (DL) or Computer Vision (CV). In the programme below, each class is marked with the corresponding course.
Monday, June 5, 2023
Welcome
09:00-09:30 - Welcome
[both courses]
Class
09:30-11:00 - Deep Learning Introduction
[both courses]
Class
11:30-13:00 - Image Processing Introduction
[both courses]
Lab
14:30-16:00 - Lab
[both courses]
Class
16:30-18:00 - Introduction to the Group Project
[both courses]
Tuesday, June 6, 2023
Class
09:30-11:00 - Image features
[CV]
Lab
11:30-13:00 - Lab
[CV]
Class
14:30-16:00 - Motion + Depth
[CV]
Lab
16:30-18:00 - Lab
[CV]
Wednesday, June 7, 2023
Class
09:30-11:00 - CNN
[both courses]
Lab
11:30-13:00 - Lab
[both courses]
Class
14:30-15:30 - CNN-based Applications
[both courses]
Seminar
15:30-16:30 - Seminar by Vittorio Murino
[both courses]
Poster session
16:30-18:00 - Poster session and aperitivo
[both courses]
Thursday, June 8, 2023
Class
09:30-11:00 - GANs
[DL]
Lab
11:30-13:00 - Lab
[DL]
Class
14:30-16:00 - Transformers
[DL]
Lab
16:30-18:00 - Lab
[DL]
Friday, June 9, 2023
Group project
09:30-11:00 - Group project
[both courses]
Group project
11:30-13:00 - Group project
[both courses]
Group project
14:30-16:00 - Group project
[both courses]
Goodbye
16:00-16:30 - Goodbye and keep in touch!
[both courses]
How to apply
Applications are open until midnight on the 23rd of April; notifications of acceptance will be sent by the 30th of April. While filling in the application form, you will be asked to select if you are applying to CV, DL, or both courses.
Application
Sunday, April 23, 2023
Registration Fees
Upon acceptance of your application, you will be requested to pay a registration fee, depending on your role and affiliation.
Role | Fee for one course | Fee for the school |
---|---|---|
UniGe and IIT affiliates | waived | waived |
Non-UniGe students and postdocs | €50 | €80 |
Non-UniGe professors | €100 | €160 |
Professionals | €300 | €320 |
Organization
Only for information which is not available online, please refer to MaLGa’s Lab Manager.