Computer Vision aims at modeling the world from digital images acquired using video or infrared cameras, and other imaging sensors.We will focus on images acquired using digital cameras. We will introduce basic processing techniques and discuss their fie ...
This course covers both classic concepts and recent advances in computer vision and machine learning for processing visual data -- with a primary focus on embodied intelligence and multimodal learning ...
This course covers fundamental notions in image and video processing, as well as covers most popular tools used, such as edge detection, motion estimation, segmentation, and compression. It is composed of lectures, laboratory sessions, and mini-projects. ...
This optional course provides students who consider a specialization in Neuroengineering during their Master with a very broad overview of the many practical applications in the field. It should ensure these students to be well informed when choosing their ...