14 citations · 14 across the 3 of their papers we have counts for
4 papers · 1 filter
Predicting 3D Motion from 2D Video for Behavior-Based VR Biometrics
Mingjun Li, Natasha Kholgade Banerjee, Sean Banerjee
Critical VR applications in domains such as healthcare, education, and finance that use traditional credentials, such as PIN, password, or multi-factor authentication, stand the ch…
HOH: Markerless Multimodal Human-Object-Human Handover Dataset with Large Object Count
Noah Wiederhold, Ava Megyeri, DiMaggio Paris +2
We present the HOH (Human-Object-Human) Handover Dataset, a large object count dataset with 136 objects, to accelerate data-driven research on handover studies, human-robot handove…
DeepJoin: Learning a Joint Occupancy, Signed Distance, and Normal Field Function for Shape Repair
Nikolas Lamb, Sean Banerjee, Natasha Kholgade Banerjee
We introduce DeepJoin, an automated approach to generate high-resolution repairs for fractured shapes using deep neural networks. Existing approaches to perform automated shape rep…
DeepMend: Learning Occupancy Functions to Represent Shape for Repair
Nikolas Lamb, Sean Banerjee, Natasha Kholgade Banerjee
We present DeepMend, a novel approach to reconstruct restorations to fractured shapes using learned occupancy functions. Existing shape repair approaches predict low-resolution vox…