Four-dimensional Digital Subtraction Angiography (4D DSA) plays a critic...
The Segment Anything Model (SAM) has demonstrated its effectiveness in
s...
Rendering moving human bodies at free viewpoints only from a monocular v...
Neural radiance fields (NeRF) have shown great success in modeling 3D sc...
Recently vision transformer has achieved tremendous success on image-lev...
The past year has witnessed a rapid development of masked image modeling...
The existing neural architecture search algorithms are mostly working on...
Neural radiance fields (NeRF) have shown great potentials in representin...
In this paper, we propose a self-supervised visual representation learni...
Instance segmentation on point clouds is a fundamental task in 3D scene
...
Recent advances in self-supervised learning have experienced remarkable
...
Can Transformer perform 2D object-level recognition from a pure
sequence...
Transformers have offered a new methodology of designing neural networks...
Data augmentation is a powerful technique to increase the diversity of d...
Human pose estimation from image and video is a vital task in many multi...
Deep neural networks achieve remarkable performance in many computer vis...
Deep neural networks achieve remarkable performance in many computer vis...
In recent years, neural architecture search (NAS) has dramatically advan...
Neural architecture search (NAS) methods have been proposed to release h...