37 citations · 44 across the 12 of their papers we have counts for
4 papers · 1 filter
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…