We introduce OpenIllumination, a real-world dataset containing over 108K...
Hand trajectory forecasting from egocentric views is crucial for enablin...
Despite the impressive performance obtained by recent single-image hand
...
Event logs are widely used to record the status of high-tech systems, ma...
We prove an inverse approximation theorem for the approximation of nonli...
Neural Radiance Fields (NeRF) have led to breakthroughs in the novel vie...
We survey current developments in the approximation theory of sequence
m...
Traditional anomaly detection methods aim to identify objects that devia...
We propose a unified framework for low resource automatic speech recogni...
Visually exploring in a real-world 4D spatiotemporal space freely in VR ...
We propose a novel procedure to generate pseudo mandarin speech data nam...
In the past two decades, most research on anomaly detection has focused ...
Event logs are widely used for anomaly detection and prediction in compl...
Multi-view unsupervised feature selection has been proven to be efficien...
We study the approximation properties of convolutional architectures app...
In this paper, we present an efficient and robust deep learning solution...
High-quality 4D reconstruction of human performance with complex interac...
In this paper, a real-time method called PoP-Net is proposed to predict
...
We study the approximation properties and optimization dynamics of recur...
A simple approach is proposed to obtain complexity controls for neural
n...
When people deliver a speech, they naturally move heads, and this rhythm...
Particle Imaging Velocimetry (PIV) estimates the flow of fluid by analyz...
The availability of affordable 3D full body reconstruction systems has g...
In multi-view human body capture systems, the recovered 3D geometry or e...