Teaching

Undergraduate courses

C18 Machine Vision and Robotics Part 1 (HT 2024)

Slides (PDF)
Notes (PDF)
Example Sheet (PDF)

B16 Software Engineering Part 3 (HT 2024)

Slides (PDF)
Notes (PDF / HTML)
Example Sheet (PDF / HTML)
Code (GitHub)

Graduate courses

AIMS Big Data (MT 2023)

AIMS Computer Vision (HT 2023)

Handout for lecture 1

VGG computer vision practicals

The VGG Computer Vision Practicals is a collection of self-contained MATLAB-based hands-on lab experiences introducing fundamental concepts in visual recognition, including feature extraction, matching, geometric verification, indexing, image encoding, and classifier learning and evaluation.

International schools and tutorials

Medical Imaging Summer School (MISS), Favignana (Sicily), 2016:
- (Somewhat) AdvancedConvolutional Neural Networks [slides];
- Understanding CNNs using visualisation and transformation analysis [slides];
- All video lectures from the summer school.
iV&L Net Training School 2016. Deep learning for computer vision applications, Malta, 2015. [slides].
Image Representations, from shallow to deep, BMVC 2014 Tutorial, Nottingham, 2014. [slides].
Large-Scale Visual Recognition, O. Chum, Z. Harchaoui, H. Jegou, F. Perronnin, M. Ranzato, and A. Vedaldi, CVPR 2014 Tutorial, Columbus, OH.
Large-Scale Visual Recognition, O. Chum, Z. Harchaoui, H. Jegou, F. Perronnin, M. Ranzato, and A. Vedaldi, CVPR 2013 Tutorial, Portland, OR.

Structured SVM tutorial

A tutorial on structured output SVMs. Download the presentation (handout format) or an archive containing the example source code in MATLAB. Please note that SVM^struct MATLAB is required.