new courses for Spring: AI for Good / Evaluation of Interactive Systems

The Computer Science Department is announcing AI for Good: Ethics and Impact & Evaluation of Interactive Systems, two new courses that will be offered in the Spring 2021 term under CS 1699 - Special Topics in Computer Science. Both are considered upper-level CS electives courses: CS1699 - AI for Good: Ethics and Impact  Instructor: Dr. Malihe Alikhani Description: Artificial intelligence (AI) holds tremendous promise to...

Read More

Colloquium: The Role of Symmetry in Human and Computer Vision — Sven Dickinson

Title:    The Role of Symmetry in Human and Computer Vision Date:    November 13, 2020 at 2 pm Place:  Virtual (meeting information) Presenter:  Sven Dickinson Professor, Department of Computer Science, University of Toronto Head, Samsung Toronto AI Research Abstract: Symmetry is one of the most ubiquitous regularities in our natural world. For almost 100 years, human vision researchers have studied how...

Read More

Ph.D. Proposal Defense: Alireza Samadianzakaria

Proposal Defense - Ph.D. in Computer Science "Relational Machine Learning" Alireza Samadianzakaria Thursday, October 15, 2020 Place: Virtual Defense Committee Kirk Pruhs, Department of Computer Science, School of Computing and Information (Chair) Panos Chrysanthis, Department of Computer Science, School of Computing and Information Adriana Kovashka, Department of Computer Science, School of Computing and Information Benjamin Moseley, Tepper School of Business,...

Read More

Ph.D. Dissertation Defense: Debashis Ganguly

Doctor of Philosophy in Computer Science “Adaptive Memory Management for CPU-GPU Heterogeneous Systems” Tuesday, October 13 at 1:00 p.m. to 3:00 p.m. Place: Virtual Defense  Event Details Committee: Rami Melhem, Department of Computer Science, School of Computing and Information (Chair) Jun Yang, Department of Electrical and Computer Engineering, Swanson School of Engineering Youtao Zhang, Department of Computer Science, School of...

Read More

new NSF award: Domain-robust object detection through shape and context

Dr. Adriana Kovashka just received a new award from the National Science Foundation (through the Robust Intelligence program), entitled Domain-robust object detection through shape and context. Computer vision has made great advancements in object recognition and detection, but performance drops significantly when the data used at training and deployment time are very different. This is problematic because in many situations,...

Read More