The techniques for 3D indoor scene capturing are widely used, but the me...
Neural Radiance Fields (NeRF) have led to breakthroughs in the novel vie...
To date, little attention has been given to multi-view 3D human mesh
est...
Visually exploring in a real-world 4D spatiotemporal space freely in VR ...
Federated Learning (FL) is a machine learning paradigm where many local ...
Knowing the 3D motions in a dynamic scene is essential to many vision
ap...
Most online multi-object trackers perform object detection stand-alone i...
Knowledge distillation is an effective approach to leverage a well-train...
Despite the previous success of object analysis, detecting and segmentin...
In this paper, we propose a novel network design mechanism for efficient...
Designing neural architectures is a fundamental step in deep learning
ap...
Deep supervised hashing has become an active topic in web search and
inf...
We study the problem of unsupervised domain adaptive re-identification
(...