We present AssemblyHands, a large-scale benchmark dataset with accurate ...
We propose a method for in-hand 3D scanning of an unknown object from a
...
Real-time tracking of 3D hand pose in world space is a challenging probl...
Convolutional neural network inference on video input is computationally...
We propose a method for estimating the 6DoF pose of a rigid object with ...
Convolutional neural network inference on video data requires powerful
h...
Pose estimation of the human body/hand is a fundamental problem in compu...
We introduce Multiresolution Deep Implicit Functions (MDIF), a hierarchi...
In this paper, we address the problem of building dense correspondences
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Sparse Neural Networks (NNs) can match the generalization of dense NNs u...
We describe a novel approach for compressing truncated signed distance f...
We propose a novel efficient and lightweight model for human pose estima...
Volumetric (4D) performance capture is fundamental for AR/VR content
gen...
Motivated by augmented and virtual reality applications such as telepres...
We present SplineNets, a practical and novel approach for using conditio...
Deep neural network models owe their representational power to the high
...
In this paper, we present a novel and efficient architecture for address...