Research project

Beyond ImageNet: leveraging very-high resolution images to speed up learning


So far, the majority of research in deep learning focused on low resolution images (1 MPix), such as ImageNet. This research project aims at challenging this status quo, by leveraging high-resolution pictures (20 MPix+). Part of the project will entail building a world-class dataset comprising images taken locally with a camera, but also by gleaning them online automatically. In a second phase, we will seek how to exploit this rich information to facilitate deep learning. In particular, self-supervised learning techniques will be explored on this unique dataset, potentially unlocking new approaches to reduce the need for labelled data.

Research Field

- Artificial intelligence
- Deep Learning
- Self-supervised algorithms
- Computer vision
- Cameras

Research Supervisor

Philippe Giguère

Research Environment


The Northern Robotics Laboratory (Norlab) has over twenty interns, students and research professionals seeking to push ahead the state of the art in mobile robotics and artificial perception in outdoor and challenging environments. Members are regularly publishing in highly competitive venues, such as ICRA, IROS, WACV, etc. The Norlab is well-equipped, with numerous all-terrain autonomous vehicles (Warthog, Husky, Superdroid), many 3D sensors, specialized cameras (two hyperspectral, two multi-polarized and one high-resolution 20 MPix) as well as a solid foundation of computing equipment, in terms of GPUs (NVIDIA 1xA100, 4xA6000, and 3x3090).

Web Site

Financial Aid Available by Program of Study

Doctorate in Computer Science

Program description

Financial Aid Available*

Financial Aid Related to Research Project

$21000 per year for 4 years.

Funding is depending on the succesful completion of the research objectives.

Program-Specific Financial Aid

Graduate Studies Awards

Milestone Amount
Progression scholarship
7 x $500
Doctoral exam or seminar presentation
Doctoral exam, seminar or conference
First submission of dissertation
Total $8,500

*A $500 bonus will be added to the graduation scholarship if the initial submission is made before the semester preceding the final qualifying semester.

Université Laval: Student Financial Aid

Funding source Amount
Leadership and Comittment Scholarship (Canadians & permanent residents)
Citizens of the World Scholarship (International students) $30,000
Mobility Grant for Out-of-Province Internships or Research Visits (in French)
$1,000 to $2,000
Graduate Scholarships from Granting Agencies   
$20,000 to $70,000$
Online Directory of Graduate Scholarships (in French)
$500 to $50,000

Supplemental Tuition Fee Exemption Scholarship Program: Entitles international students to pay Canadian student tuition fees, for overall savings of around $40,000. If you are benefiting of this scholarship program, the doctoral admission scholarship will go toward paying your supplemental tuition fees. You will not receive the $2,000 scholarship amount directly; rather it will be applied over your first two semesters to the supplemental portion of your tuition fees.

* Amounts shown represent maximum financial aid available. Certain conditions apply. Subject to change without prior notice. For further information, contact sponsoring organizations directly.

Desired Profile

- Computer Software
- Electrical Engineering
- Physics Engineering
- Computer Engineering
- Software Engineering
- Artificial intelligence

Requirements and Conditions

- Good knowledge in Python
- Excellent thinking abilities
- Natural curiosity
- Motivation and self-driven
- Able to write high-quality documents

Required Documentation

- Curriculum vitæ
- Student transcript

Find Out More

Philippe Giguère
Professeur adjoint
Département d'informatique et de génie logiciel