18 citations · 18 across the 2 of their papers we have counts for
4 papers
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…
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
Huan Lei, Naveed Akhtar, Ajmal Mian
We propose a spherical kernel for efficient graph convolution of 3D point clouds. Our metric-based kernels systematically quantize the local 3D space to identify distinctive geomet…
Octree guided CNN with Spherical Kernels for 3D Point Clouds
Huan Lei, Naveed Akhtar, Ajmal Mian
We propose an octree guided neural network architecture and spherical convolutional kernel for machine learning from arbitrary 3D point clouds. The network architecture capitalizes…
Spherical Convolutional Neural Network for 3D Point Clouds
Huan Lei, Naveed Akhtar, Ajmal Mian
We propose a neural network for 3D point cloud processing that exploits `spherical' convolution kernels and octree partitioning of space. The proposed metric-based spherical kernel…