Philippe Giguère

Professor

Laval University

Canada

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Philippe Giguère is a Professor at Université Laval in Canada. His research areas encompass semantic segmentation, deep neural networks, and autonomous navigation, with a focus on applications in natural forest assessment and mapping technologies. Recent publications include studies on citizen science data, stochastic gradient descent stability, and 3D mobile LiDAR point clouds. He is actively engaged in advancing methodologies for environmental monitoring and forestry operations.

Articles (6)

Year:

2025

Year:

2023

Year:

2023

Year:

2022

Year:

2020

Year:

2020

Collaborators (2)

François Pomerleau

Professor

Laval University

CANADA

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Sylvie Daniel

Professeure Titulaire

Laval University

CANADA

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Philippe Giguère

Research Interests

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Articles (6)

Using Citizen Science Data as Pre-Training for Semantic Segmentation of High-Resolution UAV Images for Natural Forests Post-Disturbance Assessment

Stability analysis of stochastic gradient descent for homogeneous neural networks and linear classifiers

Data Preparation Impact on Semantic Segmentation of 3D Mobile LiDAR Point Clouds Using Deep Neural Networks

Kilometer-scale autonomous navigation in subarctic forests: challenges and lessons learned

Radio propagation models for differential GNSS based on dense point clouds

Automatic three-dimensional mapping for tree diameter measurements in inventory operations

Collaborators (2)

François Pomerleau

Sylvie Daniel

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