Guillaume Bourmaud is an Associate Professor at Bordeaux INP with deep expertise in computer vision, signal processing, and machine learning. He holds a PhD from the University of Bordeaux and previously worked as a Computer Vision Researcher at Toshiba, focusing on robust optimization and 3D reconstruction.
He has contributed to numerous academic publications, including recent papers for CVPR 2025, exploring topics like image matching, feature learning, and camera pose estimation. His work advances how complex visual data is processed and understood.
Unique fact: His research explores hallucinating visual correspondence, essentially teaching machines to reason about parts of a scene that are hidden or out of view.
Guillaume Bourmaud
Associate Professor at Bordeaux INP
Greater Bordeaux Metropolitan Area, France
Overview
Topics They Care About
Computer Vision
His entire academic and professional career is centered on this field, with extensive publications on image matching, 3D reconstruction, and camera pose estimation.
Robust Optimization
A core theme in his research, focusing on developing algorithms that perform reliably even with outlier data, a critical challenge in real-world visual applications.
Signal & Image Processing
He is an expert in the underlying methods for analyzing and restoring images, which forms the foundation of his computer vision research at Bordeaux INP.
Media Appearances
Guillaume has no verified media appearances
Work History
10-2016
Associate Professor at Bordeaux INP
10-2015 - 9-2016
Computer Vision Researcher at Toshiba Research Europe Limited
9-2012 - 9-2015
PhD Candidate at Université de Bordeaux
Education
2012 - 2015
Doctor of Philosophy (PhD) from Université de Bordeaux
2011 - 2012
Master 2 (M2) from Université de Bordeaux
More Information
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Exp : 13
Location : Greater Bordeaux Metropolitan Area, France
Job Level : N/A
Designation : Associate Professor at Bordeaux INP
