Motion capture is a long-standing research problem. Although it has been...
We present SLOPER4D, a novel scene-aware dataset collected in large urba...
Recently, virtual/pseudo-point-based 3D object detection that seamlessly...
3D object detection received increasing attention in autonomous driving
...
Existing motion capture datasets are largely short-range and cannot yet ...
We propose Human-centered 4D Scene Capture (HSC4D) to accurately and
eff...
Fairness has emerged as a critical problem in federated learning (FL). I...
Fully exploring correlation among points in point clouds is essential fo...
This paper proposes a new end-to-end trainable matching network based on...
We present a novel deep convolutional network pipeline, LO-Net, for real...
The timely provision of traffic sign information to drivers is essential...