activity
20162022
most citedHoloLens 2 Research Mode as a Tool for Computer Vision Research

119 citations · 199 across the 7 of their papers we have counts for

collaborators

9 papers

cs.CV20222 cited

FLAG: Flow-based 3D Avatar Generation from Sparse Observations

Sadegh Aliakbarian, Pashmina Cameron, Federica Bogo +2

To represent people in mixed reality applications for collaboration and communication, we need to generate realistic and faithful avatar poses. However, the signal streams that can…

cs.RO202268 cited

Spatial Computing and Intuitive Interaction: Bringing Mixed Reality and Robotics Together

Jeffrey Delmerico, Roi Poranne, Federica Bogo +5

Spatial computing -- the ability of devices to be aware of their surroundings and to represent this digitally -- offers novel capabilities in human-robot interaction. In particular…

cs.CV20214 cited

Learning Motion Priors for 4D Human Body Capture in 3D Scenes

Siwei Zhang, Yan Zhang, Federica Bogo +2

Recovering high-quality 3D human motion in complex scenes from monocular videos is important for many applications, ranging from AR/VR to robotics. However, capturing realistic hum…

cs.CV2021

H2O: Two Hands Manipulating Objects for First Person Interaction Recognition

Taein Kwon, Bugra Tekin, Jan Stuhmer +2

We present a comprehensive framework for egocentric interaction recognition using markerless 3D annotations of two hands manipulating objects. To this end, we propose a method to c…

cs.CV2020119 cited

HoloLens 2 Research Mode as a Tool for Computer Vision Research

Dorin Ungureanu, Federica Bogo, Silvano Galliani +9

Mixed reality headsets, such as the Microsoft HoloLens 2, are powerful sensing devices with integrated compute capabilities, which makes it an ideal platform for computer vision re…

cs.CV20203 cited

The Phong Surface: Efficient 3D Model Fitting using Lifted Optimization

Jingjing Shen, Thomas J. Cashman, Qi Ye +5

Realtime perceptual and interaction capabilities in mixed reality require a range of 3D tracking problems to be solved at low latency on resource-constrained hardware such as head-…