19 citations · 70 across the 12 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
physics.comp-ph2021★ 8 cited
DeePN: A deep learning-based non-Newtonian hydrodynamic model
Lidong Fang, Pei Ge, Lei Zhang +2
A long standing problem in the modeling of non-Newtonian hydrodynamics of polymeric flows is the availability of reliable and interpretable hydrodynamic models that faithfully enco…
cs.CV2021★ 4 cited
Mesh Convolution with Continuous Filters for 3D Surface Parsing
Huan Lei, Naveed Akhtar, Mubarak Shah +1
Geometric feature learning for 3D surfaces is critical for many applications in computer graphics and 3D vision. However, deep learning currently lags in hierarchical modeling of 3…
cs.CV2021
Picasso: A CUDA-based Library for Deep Learning over 3D Meshes
Huan Lei, Naveed Akhtar, Ajmal Mian
We present Picasso, a CUDA-based library comprising novel modules for deep learning over complex real-world 3D meshes. Hierarchical neural architectures have proved effective in mu…