CeRVIM Webinar: Yacine Yaddaden, 12 juin 2020

Wébinaire CeRVIM : Automatic Facial Expression Recognition for Ambient Assistance
(Reconnaissance des expressions faciales pour l’assistance ambiante)

Yacine Yaddaden
Laboratoire LVSN
Dép. de génie électrique et de génie informatique, Université Laval

12 juin 2020, 11h00

Résumé / Abstract
In the last decades, the world has witnessed important advances in terms of information and communication technologies. Indeed, we benefit from the use of these technologies in our daily lives. One of their most important uses remains ambient assistant. They are generally used in smart environments or ambient assisted living where they provide guidance in order to improve the productivity and ensure security and safety. These systems are particularly useful in ensuring the wellbeing of the elderly and people suffering from cognitive deficiency.

In this presentation, I will be talking about my Ph.D. thesis work. It will be divided into two main parts, the first one is dedicated to automatic facial expression recognition, while the second one is about ambient assistance. In both parts, I will introduce fundamentals, related works and proposed methods. At the end, I will be describing how automatic facial expression recognition contributes to improve ambient assistance.

Pour obtenir le lien d’accès internet (Zoom), veuillez contacter:
To obtain the Zoom meeting web link, please contact:
Annette.Schwerdtfeger@gel.ulaval.ca

CeRVIM Seminar : Christian Gagné, 3 mars 2020

CeRVIM Seminar: Uniting research and innovation in artificial intelligence and data valorization
(Conference-discussion on the mandate, structure and actions of the Institute Intelligence and data (IID) of Université Laval)

Prof. Christian Gagné
Directeur de l’Institut intelligence et données (IID)
Dép. de génie électrique et de génie informatique, Université Laval

3 mars 2020, 9h30, Pouliot-3370

Abstract
The Institute Intelligence and Data (IID) of Université Laval brings together the driving forces in research and innovation in artificial intelligence and data science in the greater Quebec City area, in four interconnected fields:

  • Physical Environment
  • Health and Life Sciences
  • Methods of Artificial Intelligence and Data Processing
  • Ethics, Confidentiality and Social Acceptability

In a spirit of interdisciplinarity and collaboration, IID researchers, collaborators and associated members contribute to the development and enrichment of knowledge in a multitude of fields of application and support significant technological advances, with particular attention to confidentiality, ethics and social acceptability.

Together with the IID scientific director, Christian Gagné, and other IID team members, this presentation will provide an opportunity to learn more about the mandate, structure and actions of the Institute.

Welcome everyone!

The presentation will be given in French, and the slides will be in English.

CeRVIM Seminar: Flavie Lavoie-Cardinal, 10 février 2020

CeRVIM Seminar : Machine-learning-assisted microscopy : from smart scanning approaches to the generation of synthetic super-resolution images

Prof. Flavie Lavoie-Cardinal
Chercheure, Centre de recherche CERVO
Professeure associée, Dép. de Physique, Génie Physique et Optique
Université Laval

10 février 2020, 13h30, Pouliot-3370

Résumé/Abstract
Super-resolution microscopy (or optical nanoscopy) techniques allow the characterization of molecular interactions inside living cells with unprecedented spatiotemporal resolution. These techniques come with several layers of complexity in their implementation. My research team focuses on transdisciplinary approaches at the interface of molecular neurosciences, multimodal optical nanoscopy, and machine learning to study structure/function relationship of synapses in the brain. We develop machine learning and deep learning tools to increase the adaptability and accessibility of high-end imaging methods (e.g. optical nanoscopy) to complex experimental paradigms. Recently, we implemented a machine learning assisted optimization framework for optical nanoscopy allowing real-time optimization of multi-modal live-cell imaging of synaptic activity and structure proteins. We also implemented diverse deep learning approaches for high throughput microscopy image analysis, allowing us to characterize activity-dependent remodelling of neuronal proteins. We develop weakly supervised deep learning strategies to reduce the burden of extensive labeling of complex images and evaluate how they can be applied to real-time microscopy image analysis. We aim at developing new AI-assisted microscopy techniques that will adapt in real-time to the sample, predict changes in the structures and modify the experimental protocol depending on the measured response to a stimuli.

La présentation sera donnée en français et les diapos seront en anglais.
The presentation will be given in French and the slides will be in English.

REPARTI Workshop 2020

The REPARTI Workshop 2020 (May 26, 2020 at Université Laval), has been cancelled due to the current pandemic.

REPARTI Workshop 2019

The morning session included an invited talk given by Prof. John McPhee, University of Waterloo. The afternoon session was devoted to a poster session including 35 posters and 2 demos presenting research results from each of the research themes of REPARTI.

REPARTI Workshop 2019 Program

2018 REPARTI Workshop

The morning session included an invited talk given by Prof. Rajni Patel, Western University. The afternoon session was devoted to a poster session including 20 posters presenting research results from each of the research themes of REPARTI.

2018 REPARTI Workshop – Program

2017 REPARTI Workshop

The morning session included an invited talk given by Prof. Sven Dickinson, University of Toronto. The afternoon session was devoted to a job fair where REPARTI professors and students were able to meet representatives from 24 companies working in the areas of artificial vision, machine intelligence and robotics.

2017 REPARTI Workshop – Program

2016 REPARTI Workshop

Former REPARTI graduate students who started their own business were invited to talk about their experience with start-ups. The afternoon session was devoted to a poster session including 33 posters presenting research results from each of the research themes of REPARTI.