PhD Seminar • Computer Vision — Weakly-supervised Learning for Detection, Segmentation, and Reconstruction
Meng Tang, PhD candidate
David R. Cheriton School of Computer Science
Meng Tang, PhD candidate
David R. Cheriton School of Computer Science
Steve Mann, Department of Electrical and Computer Engineering
University of Toronto
Please note: This presentation has been moved to MC 4041.
Miti Mazmudar, Master’s candidate
David R. Cheriton School of Computer Science
Nastaran Naseri, Department of Information Systems
University of Cologne, Germany
Mohammad Ansarin, Rotterdam School of Management
Erasmus University, Netherlands
The key to people trusting and co-operating with artificially intelligent agents lies in their ability to display human-like emotions, according to a new study by Postdoctoral Fellow Moojan Ghafurian, Master’s candidate Neil Budnarain and Professor Jesse Hoey at the Cheriton School of Computer Science.
Michael Farag, Master’s candidate
David R. Cheriton School of Computer Science
Gustavo Fortes Tondello, PhD candidate
David R. Cheriton School of Computer Science
Cheriton School of Computer Science Professor Jesse Hoey has teamed up with Professor Robert Freeland, a sociologist at Wake Forest University, to conduct novel research at the intersection of computer science and social psychology.
Lily Wang, University of Waterloo
A classical problem asks us to find, for each element $A[i]$ of an array of integers, the position of the nearest smallest element. Similarly, we can ask about the dual problem: for each element of an array of integers $A[i]$, what is the position of the furthest smaller element?