Avatars are important to create interactive and immersive experiences in...
Replicating a user's pose from only wearable sensors is important for ma...
We present a method for reproducing complex multi-character interactions...
This paper presents a method that can quickly adapt dynamic 3D avatars t...
In-hand object manipulation is challenging to simulate due to complex co...
Real-time tracking of human body motion is crucial for interactive and
i...
Hierarchical multi-label classification (HMC) has drawn increasing atten...
Real-time human motion reconstruction from a sparse set of wearable IMUs...
The interventional nature of recommendation has attracted increasing
att...
Pose estimation of the human body/hand is a fundamental problem in compu...
Neural shape models can represent complex 3D shapes with a compact laten...
In this article, we study the binomial mixture model under the regime th...
The recent paper by Byrd Lipton (2019), based on empirical observati...
Learning latent representations of registered meshes is useful for many ...
Low-dimensional embeddings of knowledge graphs and behavior graphs have
...
Inferring brain connectivity network and quantifying the significance of...
Motivated by recent works on the high-dimensional logistic regression, w...
Hand pose estimation from the monocular 2D image is challenging due to t...
In this article we propose a novel ranking algorithm, referred to as Hie...
This paper studies the problem of blind face restoration from an
unconst...
Over the past few years, Spiking Neural Networks (SNNs) have become popu...