PhD Seminar • Computer Vision — Overview of Generative Adversarial Learning in Vision
Dmitrii Marin, PhD candidate
David R. Cheriton School of Computer Science
Dmitrii Marin, PhD candidate
David R. Cheriton School of Computer Science
Bryce Sandlund, PhD candidate
David R. Cheriton School of Computer Science
Fathiyeh Faghih, School of Electrical and Computer Engineering
University of Tehran
Yerbol Aussat, Master’s candidate
David R. Cheriton School of Computer Science
People suffering from the early symptoms of Alzheimer’s disease often have difficulty remembering things that recently happened to them. As the disease takes root, a person’s reasoning and behaviour can change. Day-to-day routines — like handwashing — may become challenging for them and they begin to need more assistance from caregivers for simple tasks.
But now there is technology that can help.
Paulo Pacheco, PhD candidate
David R. Cheriton School of Computer Science
In this seminar I will discuss some of the current state-of-the-art methods for generating attention maps in weakly supervised (image level annotations) for classification tasks, aiming image segmentation inference and object localization.
Rylo Ashmore, Master’s candidate
David R. Cheriton School of Computer Science
Guojun Zhang, PhD candidate
David R. Cheriton School of Computer Science
Benjamin Cassell, PhD candidate
David R. Cheriton School of Computer Science
Kaleb Alway, Master’s candidate
David R. Cheriton School of Computer Science