47 citations · 79 across the 14 of their papers we have counts for
5 papers · 1 filter
Self-Supervised Few-Shot Learning on Point Clouds
Charu Sharma, Manohar Kaul
The increased availability of massive point clouds coupled with their utility in a wide variety of applications such as robotics, shape synthesis, and self-driving cars has attract…
A Weighted Quiver Kernel using Functor Homology
Manohar Kaul, Dai Tamaki
In this paper, we propose a new homological method to study weighted directed networks. Our model of such networks is a directed graph equipped with a weight function on th…
Simplicial Complex based Point Correspondence between Images warped onto Manifolds
Charu Sharma, Manohar Kaul
Recent increase in the availability of warped images projected onto a manifold (e.g., omnidirectional spherical images), coupled with the success of higher-order assignment methods…
Learning Representations using Spectral-Biased Random Walks on Graphs
Charu Sharma, Jatin Chauhan, Manohar Kaul
Several state-of-the-art neural graph embedding methods are based on short random walks (stochastic processes) because of their ease of computation, simplicity in capturing complex…
Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures
Jatin Chauhan, Deepak Nathani, Manohar Kaul
We propose to study the problem of few shot graph classification in graph neural networks (GNNs) to recognize unseen classes, given limited labeled graph examples. Despite several…