Mobile task automation is an attractive technique that aims to enable
vo...
Unlike cloud-based deep learning models that are often large and uniform...
Recently, the community has made tremendous progress in developing effec...
The recognition of abstracts is crucial for effectively locating the con...
3D multi-person motion prediction is a challenging task that involves
mo...
In recent years, the task of weakly supervised audio-visual violence
det...
This paper introduces DroidBot-GPT, a tool that utilizes GPT-like large
...
Deep learning models are increasingly deployed to edge devices for real-...
Aim: The George B. Moody PhysioNet Challenge 2022 raised problems of hea...
Image-based multi-person reconstruction in wide-field large scenes is
cr...
This paper proposes a 4D backbone for long-term point cloud video
unders...
Differentiable particle filters provide a flexible mechanism to adaptive...
Recent advances in incorporating neural networks into particle filters
p...