55 citations · 125 across the 37 of their papers we have counts for
3 papers · 1 filter
Learning Sparse Graph with Minimax Concave Penalty under Gaussian Markov Random Fields
Tatsuya Koyakumaru, Masahiro Yukawa, Eduardo Pavez +1
This paper presents a convex-analytic framework to learn sparse graphs from data. While our problem formulation is inspired by an extension of the graphical lasso using the so-call…
Cylindrical coordinates for LiDAR point cloud compression
Shashank N. Sridhara, Eduardo Pavez, Antonio Ortega
We present an efficient voxelization method to encode the geometry and attributes of 3D point clouds obtained from autonomous vehicles. Due to the circular scanning trajectory of s…
Multi-resolution intra-predictive coding of 3D point cloud attributes
Eduardo Pavez, Andre L. Souto, Ricardo L. De Queiroz +1
We propose an intra frame predictive strategy for compression of 3D point cloud attributes. Our approach is integrated with the region adaptive graph Fourier transform (RAGFT), a m…