Large Vision-Language Models (LVLMs) have recently achieved remarkable
s...
Point cloud registration is a fundamental problem in many domains.
Pract...
Machine learning models often learn to make predictions that rely on
sen...
Large language models (LLMs) have demonstrated impressive zero-shot abil...
With the development of Vision-Language Pre-training Models (VLPMs)
repr...
Fine-tuning a pre-trained model can leverage the semantic information fr...
CLIP (Contrastive Language-Image Pre-Training) has shown remarkable zero...
Material Flow Analysis (MFA) is used to quantify and understand the life...
Deep learning models often learn to make predictions that rely on sensit...
The Vision-Language Pre-training (VLP) models like CLIP have gained
popu...
Vision-Language Pre-training (VLP) models have achieved state-of-the-art...
The numerical solution of differential equations can be formulated as an...
The interpretation of numerical methods, such as finite difference metho...
The interpretation of numerical methods, such as finite difference metho...