37 citations · 44 across the 12 of their papers we have counts for
12 papers
Unsupervised clustering of disturbances in power systems via deep convolutional autoencoders
Md Maidul Islam, Md Omar Faruque, Joshua Butterfield +2
Power quality (PQ) events are recorded by PQ meters whenever anomalous events are detected on the power grid. Using neural networks with machine learning can aid in accurately clas…
HyP-NeRF: Learning Improved NeRF Priors using a HyperNetwork
Bipasha Sen, Gaurav Singh, Aditya Agarwal +3
Neural Radiance Fields (NeRF) have become an increasingly popular representation to capture high-quality appearance and shape of scenes and objects. However, learning generalizable…
MAILEX: Email Event and Argument Extraction
Saurabh Srivastava, Gaurav Singh, Shou Matsumoto +4
In this work, we present the first dataset, MailEx, for performing event extraction from conversational email threads. To this end, we first proposed a new taxonomy covering 10 eve…
SCARP: 3D Shape Completion in ARbitrary Poses for Improved Grasping
Bipasha Sen, Aditya Agarwal, Gaurav Singh +3
Recovering full 3D shapes from partial observations is a challenging task that has been extensively addressed in the computer vision community. Many deep learning methods tackle th…
Objects as Spatio-Temporal 2.5D points
Paridhi Singh, Gaurav Singh, Arun Kumar
Determining accurate bird's eye view (BEV) positions of objects and tracks in a scene is vital for various perception tasks including object interactions mapping, scenario extracti…
Mechanical Characterization of Compliant Cellular Robots. Part II: Active Strain
Gaurav Singh, Ahsan Nawroj, Aaron M Dollar
Modular Active Cell Robots (MACROs) is a design approach in which a large number of linear actuators and passive compliant joints are assembled to create an active structure with a…