1 citations · 1 across the 3 of their papers we have counts for
4 papers
Graph-based Scalable Sampling of 3D Point Cloud Attributes
Shashank N. Sridhara, Eduardo Pavez, Ajinkya Jayawant +3
3D Point clouds (PCs) are commonly used to represent 3D scenes. They can have millions of points, making subsequent downstream tasks such as compression and streaming computational…
Towards bandwidth estimation for graph signal reconstruction
Ajinkya Jayawant, Antonio Ortega
In numerous graph signal processing applications, data is often missing for a variety of reasons, and predicting the missing data is essential. In this paper, we consider data on g…
Practical graph signal sampling with log-linear size scaling
Ajinkya Jayawant, Antonio Ortega
Graph signal sampling is the problem of selecting a subset of representative graph vertices whose values can be used to interpolate missing values on the remaining graph vertices.…
Converting Static Image Datasets to Spiking Neuromorphic Datasets Using Saccades
Garrick Orchard, Ajinkya Jayawant, Gregory Cohen +1
Creating datasets for Neuromorphic Vision is a challenging task. A lack of available recordings from Neuromorphic Vision sensors means that data must typically be recorded specific…