Structural re-parameterization is a general training scheme for Convolut...
The field of generative AI has a transformative impact on various areas,...
Large language models have become a potential pathway toward achieving
a...
The emerging topic of cross-source point cloud (CSPC) registration has
a...
Deep point cloud registration methods face challenges to partial overlap...
The recent multi-modality models have achieved great performance in many...
The recent success of pre-trained 2D vision models is mostly attributabl...
The pretraining-finetuning paradigm has demonstrated great success in NL...
Current 3D object detection methods heavily rely on an enormous amount o...
This paper focuses on the task of survival time analysis for lung cancer...
Rejecting correspondence outliers enables to boost the correspondence
qu...
Pre-training across 3D vision and language remains under development bec...
Automatic tumor or lesion segmentation is a crucial step in medical imag...
Generating a set of high-quality correspondences or matches is one of th...
Accurate and efficient point cloud registration is a challenge because t...
The existing state-of-the-art point descriptor relies on structure
infor...
Lung cancer is the leading cause of cancer death worldwide. The critical...
Registration is a transformation estimation problem between two point cl...
Discovering causal structure among a set of variables is a fundamental
p...
A transaction-based recommender system (TBRS) aims to predict the next i...
Automatic tumor segmentation is a crucial step in medical image analysis...
We present a fast feature-metric point cloud registration framework, whi...
Many types of 3D acquisition sensors have emerged in recent years and po...
As the development of 3D sensors, registration of 3D data (e.g. point cl...
With the development of numerous 3D sensing technologies, object registr...
We propose a systematic approach for registering cross-source point clou...