Advanced School for Computing and Imaging (ASCI)

ASCI office
Delft University of Technology
Building 28, room 04.E120
Van Mourik Broekmanweg 6
2628 XE – DELFT, The Netherlands

P: +31 15 27 88032

Visiting hours office
Monday, Tuesday, Thursday: 10:00 – 15:00


The ASCI office is located at the Delft University of Technology campus.  It is easily accessible by bicycle, public transport and car. The numbers of buildings can help you find your way around the campus. Make sure you remember the name and building number of your destination.

Contact us at +31 15 278 8032 or send us an email at

A25 Computer Vision by Learning

A25 - Computer Vision by Learning

Year   Fall 2024
Registration Registration not open yet
Course content

The next course is expected to be organized around Fall 2024.



Update March 18, 2022. The provisional program is now available! Please see:

Computer Vision by Learning featuring an invited tutorial by Serge Belongie

This graduate course is especially meant for Ph.D. students who have basic familiarity with computer vision, image processing, and machine learning and want to upsurge their knowledge and machinery to the state-of-the-art, with direct utility in their own research. The topic of attention is the challenge of computer vision by learning. We address the theoretical foundations of computer vision in conjunction with machine learning and present algorithms that achieve state-of-the-art performance while maintaining efficient execution with minimal supervision. This year we explain and emphasize on computer vision by deep learning, including challenges like image classification by data-efficient convolutional neural networks, face generation by Generative Adversarial Networks, action recognition with point-supervision, and explainability by vision and language embeddings.

Note that the number of seats for this course is limited.

Course objectives
We give an overview of the latest developments and future trends in the field on the basis of several recent challenges, and we indicate how to obtain improvements in the near future.
Education method
For the lab, you are expected to bring your own device, either a laptop with a good GPU or a laptop that can connect to a workstation with a good GPU. In case you cannot connect to a GPU, you should make a CoLAB Google Account and make sure you can run a GPU powered notebook (You can turn the GPU on by the following steps: Edit->Notebook settings->Hardware accelerator->GPU)

Responsible Lecturer

Cees Snoek

Education Period:

May 9-13, 2022

Time schedule:

Will follow


May 9-12, 2022:
Hotel Casa Amsterdam
Eerste Ringdijkstraat 4 | NL-1097 BC Amsterdam

May 13, 2022:
Startup Village (Science Park Amsterdam)
Science Park 608, 1098 XH Amsterdam