4 citations · 10 across the 8 of their papers we have counts for
8 papers
Spatio-Spectroscopic Representation Learning using Unsupervised Convolutional Long-Short Term Memory Networks
Kameswara Bharadwaj Mantha, Lucy Fortson, Ramanakumar Sankar +8
Integral Field Spectroscopy (IFS) surveys offer a unique new landscape in which to learn in both spatial and spectroscopic dimensions and could help uncover previously unknown insi…
Structure-Preserving Unpaired Image Translation to Photometrically Calibrate JunoCam with Hubble Data
Aditya Pratap Singh, Shrey Shah, Ramanakumar Sankar +4
Insights into Jupiter's atmospheric dynamics are vital for understanding planetary meteorology and exoplanetary gas giant atmospheres. To study these dynamics, we require high-reso…
Wind shear and the role of eddy vapor transport in driving water convection on Jupiter
Ramanakumar Sankar, Michael H Wong, Csaba Palotai +1
Recent observations of convection in the jovian atmosphere have demonstrated that convection is strongly concentrated at specific locations on planet. For instance, observations of…
Jovian Vortex Hunter: a citizen science project to study Jupiter's vortices
Ramanakumar Sankar, Shawn Brueshaber, Lucy Fortson +4
The Jovian atmosphere contains a wide diversity of vortices, which have a large range of sizes, colors and forms in different dynamical regimes. The formation processes for these v…
TCuPGAN: A novel framework developed for optimizing human-machine interactions in citizen science
Ramanakumar Sankar, Kameswara Mantha, Lucy Fortson +8
In the era of big data in scientific research, there is a necessity to leverage techniques which reduce human effort in labeling and categorizing large datasets by involving sophis…
Automated 3D Tumor Segmentation using Temporal Cubic PatchGAN (TCuP-GAN)
Kameswara Bharadwaj Mantha, Ramanakumar Sankar, Lucy Fortson
Development of robust general purpose 3D segmentation frameworks using the latest deep learning techniques is one of the active topics in various bio-medical domains. In this work,…
Optimizing the Wasserstein GAN for TeV Gamma Ray Detection with VERITAS
Deivid Ribeiro, Yuping Zheng, Ramana Sankar +1
The observation of very-high-energy (VHE, E>100 GeV) gamma rays is mediated by the imaging atmospheric Cherenkov technique (IACTs). At these energies, gamma rays interact with the…
From fat droplets to floating forests: cross-domain transfer learning using a PatchGAN-based segmentation model
Kameswara Bharadwaj Mantha, Ramanakumar Sankar, Yuping Zheng +11
Many scientific domains gather sufficient labels to train machine algorithms through human-in-the-loop techniques provided by the Zooniverse.org citizen science platform. As the ra…