Recent progress in large language models has enabled the deployment of m...
Motion capture is a long-standing research problem. Although it has been...
We present SLOPER4D, a novel scene-aware dataset collected in large urba...
While federated learning has shown strong results in optimizing a machin...
Contextual commonsense inference is the task of generating various types...
Depthwise convolutions are widely used in lightweight convolutional neur...
Existing motion capture datasets are largely short-range and cannot yet ...
This paper addresses the problem of dialogue reasoning with contextualiz...
We propose Human-centered 4D Scene Capture (HSC4D) to accurately and
eff...
Commonsense inference to understand and explain human language is a
fund...
The ongoing COVID-19 pandemic has raised concerns for many regarding per...
In this paper, we propose a fixed-size object encoding method (FOE-VRD) ...
Network monitoring is vital in modern clouds and data center networks fo...
Crowdsourced video systems like YouTube and Twitch.tv have been a major
...