Current assessment tools for teamwork are based on subjective assessment forms in general, objectively assess teamwork is a challenging task in the operating room. Laparoscopic surgery is a type of surgery that requires the surgeon and assistant to work cohesively, since the surgeon’s view is provided by the assistant consistently maneuvering the camera. We used […]

Decreasing operational costs is a key criterion for organizations that manage compute clusters, such as Amazon, Microsoft, Google, Alibaba, etc. One way to decrease costs it to improve resource utilization in the cluster [13, 14]. Yet, high resource utilization can negatively affect workload performance and thus user satisfaction. Performance degradation happens when workloads running on […]

Automatic casting applications aim is to accurately recognise facial regions that correspond to a same actor appearing in a movie to produce described video. This project will focus on the tasks of re-identify the face of each principal actors when they appear in different scenes of a movie. This is a challenging task because although […]

Les activités de recherche prévues au cours de mon séjour à l’University of South Australia consistent à développer un spectromètre à peignes de fréquences dans l’infrarouge moyen intégré sur une puce optique. Un spectromètre dont la plage spectrale d’opération s’étend jusqu’à 3-5 µm permet la mesure de spectres d’absorption de gaz. Bon nombre de molécules […]

Il est possible avec des techniques spécialisées de rendre des cerveaux de souris transparents permettant ainsi de les analyser pour mieux comprendre leur fonctionnement. Toutefois, ces méthodes demeurent en développement et il est très difficile de perfectionner ces techniques rapidement. Le projet consiste à développer un microscope ayant une vision très large permettant ainsi de […]

Le projet consiste à bâtir un outil permettant d’évaluer les économies que les clients peuvent espérer en mettant en place le procédé et le logiciel proposé par Merinio. Le logiciel est un outil permettant de faire la gestion de la main d’œuvre de façon plus efficace en automatisant des tâches, en éliminant des tâches répétitives […]

Head-mounted displays (HMDs) allow a convenient delivery of visualized data to the user. HMDs in the form of glasses and goggles (otherwise known as smart glasses and goggles), such as Vuzix Blade and Epson Moverio [1-3], have been introduced but the public acceptance of these devices have been rather lackluster. Part of the sluggish acceptance […]

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 […]

Private pension plan sponsors wishing to manage their longevity risk transfer it to insurers through annuity contracts or bespoke longevity swap arrangements. They increasingly rely on such contracts to reduce their risk exposure. For example, annuity purchase activity from Canadian private pension plans expanded from $1 billion in 2012 to almost $2.7 billion in 2016 […]

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. […]