Efficient Multi-frame Obstruction Removal

Modern mobile phones have become the dominant photography device in recent years. However, their users are often not professional photographers. Thus, they lack the skills of choosing proper lighting, proper shot framing, and proper settings on the camera. In particular, photographs are often taken in unfavourable conditions where the scene of interest is obstructed by […]

Read More
Face Matching 1 to N

Fraudsters and money launderers have no place in today’s digital economy. To protect against fraud and financial crime, businesses online need to know and trust that their customers are who they claim to be – and that these customers continue to be trustworthy. Jumio uses the power of AI, biometrics, machine learning and certified liveness […]

Read More
Mimicking medial-knee brace gait using PCA and biofeedback

Knee osteoarthritis is a disabling disease affecting millions of people worldwide. Knee braces have been adopted as a treatment strategy to help manage osteoarthritis pain. These braces apply a force to the knee, which, in theory, reduces the joint loads in the knee. They also however change the way people walk, which can also reduce […]

Read More
Advancement of biosensor technologies for use in healthcare/cancer research and detection

The detection of specific carbohydrates is critical for several processes including biofuel production, textile finishing, food production and human health. These carbohydrates play roles in human health including stem cell differentiation, genetic diseases, and viral infection (i.e., COVID-19). Presently, the largest barrier to understanding the role carbohydrates play in human health is the lack of […]

Read More
Deep Learning Classification and model compression

Deep neural networks (DNNs) have achieved great success in many visual recognition tasks. However, existing state of the art deep neural network models are computationally expensive and memory intensive, hindering their deployment in devices with low memory resources or in applications with strict latency requirements. Therefore, a natural thought is to perform model compression and […]

Read More
Enhancing adherence to online PBC wellness programming

Online wellness programming offers a promising avenue to positively influence the mental well-being of older adults with chronic conditions in a manner that is accessible and acceptable. This project aims to build on our collaborative relationship with the Canadian PBC Society to iteratively refine an online wellness program to the unique needs of individuals with […]

Read More
Discourse Representation Framework for Consumer NLP

With the ultimate goal of enhancing Nexxt Intelligence’s market research SaaS platform, inca, this project will create a flexible framework for facilitating conversations with consumers using an agent powered by natural language processing and deep learning models. This ‘discourse representation framework’ will be capable of engaging with consumers in fluent English, and is designed to […]

Read More
Accessibility at the Vancouver Writers Fest

The Vancouver Writers Fest is one of Canada’s leading literary festivals. Accessibility challenges have been a major priority for the Festival, and meeting accessibility needs will allow it to serve and grow its audience more inclusively. This project aims to improve physical accessibility for participants at the Vancouver Writers Fest. The intern will work with […]

Read More
Mobilizing Adoption of Sustainable Solutions: Accelerating the Pace of Systemic Change through Transdisciplinary Collaboration

Humanity is dependent on a sustainable future yet fails to mobilize adoption of sustainability initiatives. If current trends continue, we may not meet the 2030 UN Sustainable Develop Goals until 2082– more than half a century late. Humanity’s insufficient response to the global lack of sustainability is a grand challenge driven by a moral imperative […]

Read More