In this project we will look at tools to represent the content of an image and the relationships between its salient objects. The purpose of these tools is not only to enumerate the object represented in an image and identify their surroundings but also to describe how these entities are interacting with each other. We […]

La COVID-19 est causée par un nouveau virus, le SARS-CoV-2 et frappe durement la population mondiale. Cette maladie soulève de nombreuses questions, dont celle de savoir si l’immunité développée par les personnes ayant guéri de la maladie permet de neutraliser efficacement le virus et d’assurer une protection à long terme. Dans le cadre de ce […]

In the last few years, a high increase in the interest of traders and investors towards financial instruments directly lead to an important augmentation of the information received daily by exchanges. Exchanges regulators, who constantly monitor markets to unveil potential infractions, traditionally perform their investigation manually and the notable growth in market activity represents an […]

Humans recognise objects in the world leveraging multi-modal sensory inputs beyond visual aspects (images and videos). Touch based information (Haptics) possesses rich information about structure, shape and other objetness properties. In this work, we will study and learn cross-modal representations between vision and touch. To connect vision and touch, we plan to introduce a zero […]

Le projet DREAMLAND; Mobile a pour objectif d’améliorer considérablement la qualité des soins hospitaliers promulgués aux grands brûlés lors des séances d’hydrothérapie et transformer une expérience hospitalière à priori négative, voir traumatisante, en une expérience ludique et positive, tant pour l’enfant que pour la famille qui l’accompagne. Dans le cadre des MITACS, les stagiaires travaillerons […]

Our research consists of developing novel techniques to further improve the rendering time and quality of volumetric light transport, in special the effect of multiple scattering on path tracing. Our proposal is to explore the human perceptual system to speed up the computation using a visual perception metric. To determine which parameters are feasible of […]

Le trouble orofacial myofontionel (TOM) réfère à l’ensemble des comportements oromusculaires inadaptés. Il s’agit d’un trouble moteur impliquant la musculature de la bouche et du visage, ce qui interfère avec une maturation normale des structures orofaciale. En orthophonie, les enfants référés pour un TOM présentent généralement une déglutition atypique et un problème d’articulation de la […]

The ability of the health system to manage a massive influx of patients is based on the combination of four factors: the personnel, the equipment, the physical spaces and the system in place. A combination better known in jargon as the 4 “S” (staff, stuff, structure / space, system). A fifth factor that is often […]

In a recent study conducted in the province of Quebec it was determined that 34% of antimicrobials used on dairies are antimicrobials of very high importance for humans (AKA Category 1 antimicrobials; Lardé et al., personal communication). However, since February 2019, a new regulation restricts their use in food producing animals in Quebec’s province, Thus, […]

Rheolution Inc. develops and commercializes a new scientific instrument dedicated to the mechanical characterization of materials for research and development and quality control of industrial polymers. The instrument, called RheoSpectrisTM, uses an innovative technology patented by the University of Montreal Hospital. Compared to the competing old generation instruments, this unique technology allows the measurement of […]

Currently, testing the population more at risk to be severely ill is a cumbersome process. There is a limit to the capacity and the resources of the healthcare system that show a need to be more efficient in discovering infected person. Being able to quickly detect infected person helps reduce the risk of infecting others […]

The first objective is to use ML to reduce the modeling error in predicting the end-of-growth of a batch, reducing the emission of CO2 and water consumption of synthesized products. The second objective is to formulate the algorithms to facilitate its integration into our analytics solution. The third objective is to validate shared learning when […]