activity
20192021
most citedSelf-Supervised Few-Shot Learning on Point Clouds

47 citations · 53 across the 3 of their papers we have counts for

collaborators

6 papers

cs.CV2021

Person Re-Identification with a Locally Aware Transformer

Charu Sharma, Siddhant R. Kapil, David Chapman

Person Re-Identification is an important problem in computer vision-based surveillance applications, in which the same person is attempted to be identified from surveillance photog…

cs.LG202047 cited

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…

cs.CV2020

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…

cs.LG2020

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…

cs.LG2019

Solving Partial Assignment Problems using Random Clique Complexes

Charu Sharma, Deepak Nathani, Manohar Kaul

We present an alternate formulation of the partial assignment problem as matching random clique complexes, that are higher-order analogues of random graphs, designed to provide a s…

cs.LG20196 cited

Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

Deepak Nathani, Jatin Chauhan, Charu Sharma +1

The recent proliferation of knowledge graphs (KGs) coupled with incomplete or partial information, in the form of missing relations (links) between entities, has fueled a lot of re…