We present Large Language Model for Mixed Reality (LLMR), a framework fo...
Early diagnosis of renal cancer can greatly improve the survival rate of...
Designing new molecules is essential for drug discovery and material sci...
Existing approaches to animatable NeRF-based head avatars are either bui...
Creating animatable avatars from static scans requires the modeling of
c...
Spatiotemporal data mining plays an important role in air quality monito...
Learning the underlying distribution of molecular graphs and generating
...
Graph generative models have broad applications in biology, chemistry an...
Interoperability issue is a significant problem in Building Information
...
Performance of trimap-free image matting methods is limited when trying ...
The report proposes an effective solution about 3D human body reconstruc...
We propose CrossHuman, a novel method that learns cross-guidance from
pa...
Over the past decades, the incidence of thyroid cancer has been increasi...
Mean-field games (MFGs) are a modeling framework for systems with a larg...
The Gaussian Elimination with Partial Pivoting (GEPP) is a classical
alg...
Most automatic matting methods try to separate the salient foreground fr...
It is extremely challenging to create an animatable clothed human avatar...
Most existing CNN-based salient object detection methods can identify lo...
Several video-based 3D pose and shape estimation algorithms have been
pr...
Most existing human matting algorithms tried to separate pure human-only...
The surprisingly popular algorithm (SPA) is a powerful crowd decision mo...
Single Image Super-Resolution (SISR) tasks have achieved significant
per...
Unconstrained remote gaze estimation remains challenging mostly due to i...
We study the distribution of the minimal distance (in the Hamming metric...
This paper proposes an improved epsilon constraint-handling mechanism, a...
In this paper, a hierarchical image matting model is proposed to extract...