Alexandre Messier — accepted AI-conference papers

2026

Skullptor: High Fidelity 3D Head Reconstruction in Seconds with Multi-View Normal Prediction

Noé Artru, Rukhshanda Hussain, Emeline Got, Alexandre Messier, David B. Lindell, Abdallah Dib

CVPR 2026

Reconstructing high-fidelity 3D head geometry from images is critical for a wide range of applications, yet existing methods face fundamental limitations. Traditional photogrammetry achieves exceptional detail but requires extensive camera arrays (25--200+ views), substantial computation, and manual

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2024

UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues

Vandad Davoodnia*, Saeed Ghorbani, Marc-André Carbonneau, Alexandre Messier, Ali Etemad

ECCV 2024poster

"We introduce UPose3D, a novel approach for multi-view 3D human pose estimation, addressing challenges in accuracy and scalability. Our method advances existing pose estimation frameworks by improving robustness and flexibility without requiring direct 3D annotations. At the core of our method, a po…

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