Artists in the industry are eager for tools to simplify the modeling of faces for 3D characters. For a while, researchers, including ourselves, used blend shape style models for reconstructing and modeling faces. More recently, researchers investigated using Artificial Intelligence (AI) models, again mostly for face reconstruction from images. AI is more able to properly […]

The project partner, JuniperCDS (Juniper), is a digital health company that is developing a care and treatment planning (software) application called JuniperCDS, which is a clinical decision support software solution that enables clinicians to create meaningful, person-centric care plans by delivering in-context recommendations based on the latest clinical guidelines at the point of care. A […]

A considerable percentage of BNC projects are impacted by stoppages, re-adjustments and delays. Such issues are often communicated too late to prevent significant losses or facilitate the reallocation of funding to maximize value creation for the bank and its clients. The majority of delivery metrics (risk, statuses, stakes) that help to anticipate strategic issues and […]

Ce projet vise à générer des images de haute qualité, des différentes portes de chez Portes Milette. L’entreprise permet à ses clients de choisir une multitude de paramètres afin de personnaliser ses modèles de portes. Les clients ont accès à des millions de combinaisons de paramètres possibles. La visualisation de ces portes personnalisées par le […]

Avec les moteurs de recherche actuels, l’utilisateur a accès à de plus en plus d’information : la quantité d’information à analyser augmente de jour en jour et l’utilisateur ne peut consulter toute cette information parce que tout simplement il n’en a pas le temps : après avoir regardé les résultats de la 1ière ou 2ième […]

As virtual worlds grow larger and more detailed, complex content generation is becoming a key issue for media production industries. Creating and populating these virtual scenes with various and detailed 3D entities coherent with their environment is a difficult and time-consuming task mainly based on manual authoring. Developing novel tools that are able to scale […]

GFlowNets are generative networks that consider the generation process as a flow network. They are theoretically better at handling the difficult cases of sampling different modes of a distribution and when different sampling trajectories can yield the same final state. In this work, we hope to explore various improvements to GFlowNets to make them suitable […]

Ce stage a pour objectif l’optimisation de l’algorithme d’analyse olfactive développé par Odotech. Une expertise poussée du domaine des mathématiques et plus particulièrement en statistique sont nécessaires à ce stage. C’est dans cette optique, qu’Odotech a offert un stage à un étudiant à la maîtrise en statistique du département de mathématique de l’Université de Montréal. […]

With the rise of mobile technology and online communities, social media has become an increasingly important information channel for investors, especially the younger-generation retail investors whose number is rapidly growing. The recent ‘MEME’ stocks phenomenon clearly demonstrates the potential influence of social media on the market. A ‘MEME’ stock refers to a stock that gains […]

L’ordonnancement des retraits d’équipements électriques de transport est un défi auquel de nombreuses compagnies oeuvrant dans le domaine de l’énergie doivent faire face. En effet, chaque équipement de transport (p.e., une ligne de transmission) s’use avec le temps et doit, durant son cycle de vie, être maintenu pour s’assurer de son bon fonctionnement. Une fois […]

Millions of people post information on social media sites about their interests, preferences, opinions etc. on a daily basis. LeadSift mines this data stream in real-time to generate incredibly accurate and targeted sales leads. Given the short text and ambiguity around a social post, it gets very difficult to accurately identify intent. This project will […]

The topic of our research is to study how randomization is used to solve Byzantine Agreement problem in different computational models. Byzantine Agreement is a classic distributed computing problem, where processors try to agree on a value, but some of the processors try to disrupt the agreement or make sure that the algorithm never terminates. […]