Dominique Piché-Meunier

I am a Machine Learning Engineer at Adobe. I completed my master's degree in Electrical Engineering at the Institute Intelligence and Data (IID) of Laval University, under the supervision of Jean-François Lalonde and Yannick Hold-Geoffroy. My expertise is in 3D computer vision, multimodal generative models, and high-performance distributed systems.

During my masters, I had the opportunity of doing two internships with Adobe, one with the Adobe Research team and one with the 3D & Immersive team in San Francisco. Before that, I completed my bachelor's degree in Engineering Physics at Laval University.

Dominique Piché-Meunier

Publications

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Lens Parameter Estimation for Realistic Depth of Field Modeling
Dominique Piché‑Meunier, Yannick Hold‑Geoffroy, Jianming Zhang, Jean‑François Lalonde
International Conference on Computer Vision (ICCV), 2023
salary_structures
Multiobjective Optimisation for Designing Salary Structures
François Alexandre Tremblay, Dominique Piché‑Meunier, Louis Dubois
CPAIOR, 2023
deepcalib
A Deep Perceptual Measure for Lens and Camera Calibration
Yannick Hold‑Geoffroy, Dominique Piché‑Meunier, Kalyan Sunkavalli, Jean-Charles Bazin, Francois Rameau, Jean‑François Lalonde
IEEE TPAMI, 2023
dosimetry
A high‐Z inorganic scintillator–based detector for time‐resolved in vivo dosimetry
Erik B Jørgensen, et al. (including Dominique Piché-Meunier)
Medical Physics, 2021