Conditional Flow-based Speech-Driven Gesture Synthesis

Speech-driven gesture synthesis is the process of automatically generating relatable and realistic gestures given speech and high-level attributes such as speaker’s style. It is an active research area with applications in video games, animated movies, communicative agents, and human-computer interaction. Commonly, a database of gestures is manually created which are then triggered at different times […]

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Intelligent Query and Learning System (IQLS)

Intelligent Query and Learning System (IQLS) is a web application that offers a platform for a business owner, product seller, service provider, doctor, engineer or anyone with a goal of providing service to their client or audience. Using this platform, an individual can train the system with information related to their business, service, or product, […]

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Cebas Subsurface Scattering Shaders

This project seeks to develop GPU based versions of CPU implemented Subsurface scattering shaders. Rendering in video games and movies require increasingly complex simulation of skin and other effects from translucent materials As a visual effects solution provider, Cebus Visual Technology is very interested in implementing their shaders on the GPU to increase the computational […]

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Prevalence of moderate-to-severe Osteoarthritis pain of the hip and knee by Index Joints in Canadian Primary Care: A proof of concept study from the Canadian Primary Care Sentinel Surveillance Network

Osteoarthritis (OA) is a common disease in middle-aged and older Canadians attending primary care practitioners. As the Canadian population ages and with increasing obesity, OA will become an increasing burden for individuals and the health care system. Given the potential of Electronic Medical Record (EMR) data for surveillance of the population that is at high […]

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Preventing school dropout through community worker interventions modeling (part 2)

The project is part of a desire to address the school dropout issue, particularly in multi-ethnic and disadvantaged communities. Despite the implementation of several universal interventions in Quebec, the drop-out rate remains high in numerous areas. In the Eastern Townships area, a partnership between the Sherbrooke Regional School Board and the Université de Sherbrooke in […]

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Machine Learning for dynamic microscopic imaging

In the proposed exchange project, we plan to develop a new collaborative partnership that integrates the expertise of advanced optical imaging instrumentation (McMaster: Fang) and image sequence analysis (INRIA: Kervrann) towards new dynamic imaging technologies. Specifically, we are interested in optofluidics imaging flowcytometers for point-of-care infectious diseases diagnosis as well as high throughput protein-protein interaction […]

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Machine Learning for Ocean Data – Ocean Allies Project

MarineLabs provides super high resolution real-time wind, wave, and other data for marine safety and climate resilience by operating a North America wide fleet of compact, rugged, self-powered, marine IoT. With vast data accessible on the CoastAware cloud, MarineLabs is pursuing a number of Machine Learning opportunities. The MarineLabs MITACS internship is aimed to power-up […]

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Predicting failures in networking equipment using machine learning

This project is in collaboration with Ciena, an international company specialized in the supply of telecommunications networking equipment and software services. Electrical components produced by Ciena are important in many networking equipment such as routers or switches. Every year, a large number of components is produced. However, the production process may have some flaws, causing […]

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Automatic evaluation for industrial training simulation using reinforcement learning

The proposed research project will improve CM Labs Simulations’ construction training simulators by automatically evaluating trainees and providing useful feedback about their progress frequently throughout the training cycle. Machine learning techniques will be applied to a large dataset of training simulator recordings in order to discern good skill progression of heavy machine operation for various […]

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Intelligent Scaleable Contest Platform

The proposed research is to investigate and prototype an intelligent architecture for the MemeLabs contest platform that will support advanced features such as multi-layer access control, scaleable design, and to explore innovative mechanisms such as generation and embedding a watermark in shared media of both photo and video. The project is important in the company’s […]

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Conversion du modèle d’affaires ContinuumRD en un parcours numérique d’encadrement de l’innovation : Portion commerce électronique – Samira Mouden

Le stage a pour objectif d’appuyer la transformation du modèle d’affaires de ContinuumRD en une version numérique de cette dernière. Ce stage couvre la portion “Commerce électronique” réalisée par la stagiaire Samira Mouden et sera supervisé par Sylvain Frappier en appui à l’administrateur de ContinuumRD (Stéphane Carpentier et jumelé au professeur Sylvain Perron de HEC […]

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