14 citations · 19 across the 9 of their papers we have counts for
9 papers
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…
Using Motion Forecasting for Behavior-Based Virtual Reality (VR) Authentication
Mingjun Li, Natasha Kholgade Banerjee, Sean Banerjee
Task-based behavioral biometric authentication of users interacting in virtual reality (VR) environments enables seamless continuous authentication by using only the motion traject…
Evaluating Deep Networks for Detecting User Familiarity with VR from Hand Interactions
Mingjun Li, Numan Zafar, Natasha Kholgade Banerjee +1
As VR devices become more prevalent in the consumer space, VR applications are likely to be increasingly used by users unfamiliar with VR. Detecting the familiarity level of a user…
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…
Pix2Repair: Implicit Shape Restoration from Images
Xinchao Song, Nikolas Lamb, Sean Banerjee +1
We present Pix2Repair, an automated shape repair approach that generates restoration shapes from images to repair fractured objects. Prior repair approaches require a high-resoluti…
Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts
Nikolas Lamb, Cameron Palmer, Benjamin Molloy +2
Automated shape repair approaches currently lack access to datasets that describe real-world damaged geometry. We present Fantastic Breaks (and Where to Find Them: https://terascal…
Simultaneous prediction of hand gestures, handedness, and hand keypoints using thermal images
Sichao Li, Sean Banerjee, Natasha Kholgade Banerjee +1
Hand gesture detection is a well-explored area in computer vision with applications in various forms of Human-Computer Interactions. In this work, we propose a technique for simult…
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…