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 lies in graphics, computer vision, and machine learning, with a keen interest in problems related to scene understanding and computational photography.

During my masters, I had the opportunity of doing two internships with Adobe, one with the Adobe Research team (remote), and one with the 3D & Immersive team (San Francisco, CA). Before that, I completed my bachelor's degree in Engineering Physics at Laval University in 2021, during which I did two internships with the Medical Physics Research Group and the Computer Vision and Systems Laboratory.

Dominique Piché-Meunier

Publications

salary_structures
Multiobjective Optimisation for Designing Salary Structures
François Alexandre Tremblay, Dominique Piche‑Meunier, Louis Dubois
International Conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR), 2023
salary_structures
A Deep Perceptual Measure for Lens and Camera Calibration
Yannick Hold‑Geoffroy, Dominique Piche‑Meunier, Kalyan Sunkavalli, Jean-Charles Bazin, Francois Rameau, Jean‑François Lalonde
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
salary_structures
A high‐Z inorganic scintillator–based detector for time‐resolved in vivo dosimetry during brachytherapy
Erik B Jørgensen, Jacob G Johansen, Joakim Overgaard, Dominique Piché‐Meunier, Daline Tho, Haydee ML Rosales, Kari Tanderup, Luc Beaulieu, Gustavo Kertzscher, Sam Beddar
Medical physics, 2021