119 citations · 251 across the 14 of their papers we have counts for
14 papers
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…
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…
EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices
Siwei Zhang, Qianli Ma, Yan Zhang +5
Understanding social interactions from egocentric views is crucial for many applications, ranging from assistive robotics to AR/VR. Key to reasoning about interactions is to unders…
Learning to Fit Morphable Models
Vasileios Choutas, Federica Bogo, Jingjing Shen +1
Fitting parametric models of human bodies, hands or faces to sparse input signals in an accurate, robust, and fast manner has the promise of significantly improving immersion in AR…
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…
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…
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…
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-…
Leveraging Photometric Consistency over Time for Sparsely Supervised Hand-Object Reconstruction
Yana Hasson, Bugra Tekin, Federica Bogo +3
Modeling hand-object manipulations is essential for understanding how humans interact with their environment. While of practical importance, estimating the pose of hands and object…
Domain-Specific Priors and Meta Learning for Few-Shot First-Person Action Recognition
Huseyin Coskun, Zeeshan Zia, Bugra Tekin +4
The lack of large-scale real datasets with annotations makes transfer learning a necessity for video activity understanding. We aim to develop an effective method for few-shot tran…
H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions
Bugra Tekin, Federica Bogo, Marc Pollefeys
We present a unified framework for understanding 3D hand and object interactions in raw image sequences from egocentric RGB cameras. Given a single RGB image, our model jointly est…
Unite the People: Closing the Loop Between 3D and 2D Human Representations
Christoph Lassner, Javier Romero, Martin Kiefel +3
3D models provide a common ground for different representations of human bodies. In turn, robust 2D estimation has proven to be a powerful tool to obtain 3D fits "in-the- wild". Ho…
Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image
Federica Bogo, Angjoo Kanazawa, Christoph Lassner +3
We describe the first method to automatically estimate the 3D pose of the human body as well as its 3D shape from a single unconstrained image. We estimate a full 3D mesh and show…
Community structure and interaction dynamics through the lens of quotes
Mattia Samory, Enoch Peserico
This is the first work investigating community structure and interaction dynamics through the lens of quotes in online discussion forums. We examine four forums of different size,…