Video analytics is an active fields of research, where state-of-the-art systems rely on a variety of computer vision and machine learning techniques for accurate modeling and recognition from large-scale video datasets. Person re-identification is a key problem found in numerous application areas, e.g., video surveillance, summarization, and sports analysis, and seeks to match people across […]

Video analytics is an active fields of research, where state-of-the-art systems rely on a variety of computer vision and machine learning techniques for accurate modeling and recognition from large-scale video datasets. Person re-identification is a key problem found in numerous application areas, e.g., video surveillance, summarization, and sports analysis, and seeks to match people across […]

Image denoising is a fundamental process in most of computer vision systems, imaging systems, and photography productions. Recently, with the power of deep neural networks, image denoising has been pushed towards new boundaries. However, neural network image denoisers are constrained by the accuracy of the noise model used to train them. Training on a poor […]

MatchWork enables non-profit employment support organizations to support marginalized people to find meaningful employment opportunities. This includes people with physical and mental challenges, veterans, new immigrants and refugees.

To communicate with their end users, businesses regularly produce written documents such as letters, notices, statements, etc.., in various languages. A set of rules are usually used to ensure that information in these documents is ‘correct’ and consistent across languages and communication channels. However, with the increasing volume and variety of information being sent out […]

Le projet consiste :!l extraire, a partir d’un Ires grand vOlume de courriels, un vocabulaire structure qui pourra etre mis a profit pour I’elaboration d’une politique de retention et de controle. Plus precisement, des methodes seron! developpees pour I’extraction d’un ensemble de termes pertinents puis, dans un deuxieme temps, I’ensemble des relations pertinentes dans lesquelles […]

Deep learning has shown great success in a variety of tasks with large amounts of labeled data in image classification. These achievements have relied on the fact that optimization of these deep, high-capacity models requires many iterative updates across many labeled examples. This type of optimization breaks down in the small data regime where we […]

We will create new software technology for generating intelligent-looking movement behavior of virtual characters in video games. When characters move around in game worlds, they typically plan their path around fixed obstacles and use some simple rules to avoid dynamic obstacles, such as other characters. Recently a family of methods based on the concept of […]

Model-free Reinforcement Learning (RL) has recently demonstrated its great potential in solving difficult intelligent tasks. However, developing a successful RL model requires an extensive model tuning and tremendous training samples. Theoretical analysis of these RL methods, more specifically policy optimization methods, only stay in a simple setting where the learning happens in the policy space. […]

Skyplan Services Ltd. is a company active in the air traffic management domain. The company is interested in expanding their current working application by benefiting from advanced technology to develop an integrated environment and solutions for air traffic management in order to provide better service at the international arena. Students to be involved in this […]

Architectural design data have mostly been limited to visual representations, specifications and contractual documents. Today, design firms generate vastly more and diverse data, but lack adequate access to tools to gain insight from such data. Yet the field of “visual analytics” provides concepts and systems exactly for working with such data. The proposed research aims […]

This project aims to improve energy efficiency and conservation in commercial buildings through statistical modeling and data analysis. Computer software will be developed which can predict future building energy consumption, and assist in diagnosing misconfigured equipment and recommending ways to save energy within buildings. This project is joint work between Pulse Energy, a Vancouver-based company […]