Scholar
Noam Aigerman
Google Scholar ID: eO2xkdMAAAAJ
Associate Professor at University of Montreal
Citations & Impact
Citations
1,745
H-index
23
i10-index
32
Publications
20
Co-authors
75
list available
Publications
Resume (English only)
Academic Achievements
- Published numerous papers on topics such as PoissonNet, Neural Kinematic Bases for Fluids, Differentiation Through Black-Box Quadratic Programming Solvers, and more, presented at top conferences like SIGGRAPH Asia, NeurIPS, CVPR, etc.
Research Experience
- Currently, his focus is on using geometry processing to devise theoretically-grounded machine learning approaches for 3D problems; and, vice-versa, approaching geometry processing tasks from a machine learning perspective.
Background
- Associate Professor at the University of Montreal and Associate Academic Member at Mila. His research interests lie at the intersection of machine learning and 3D geometry, particularly in geometry processing, deep learning, optimization, and their applications in 3D vision and computer graphics.
