6 accepted papers
We propose PatchScene, a novel diffusion-based framework for large-scale LiDAR scene completion. Unlike existing methods that rely on global latent representations or dense voxel grids, PatchScene adopts a patch-based voxel diffusion paradigm that explicitly generates fine-grained geometry within lo
Bird’s-Eye View (BEV) perception has gained significant attention in autonomous driving and robotics due to its advantages in simplifying modality alignment and feature fusion. Addressing the challenge of jointly optimizing performance and efficiency in 2D-3D view transformation, we identify that, c
Multi-cluster tools are widely utilized in wafer fabrications. It is of great significance to schedule such tools optimally to improve productivity and ensure wafer quality. However, previous research mainly focuses on scheduling dual-arm multi-cluster tools by adopting swap-based strategies, leavin
With the development of medical digitization, the extraction and structuring of Electronic Medical Records (EMRs) have become challenging but fundamental tasks. How to accurately and automatically extract structured information from medical dialogues is especially difficult because the information n…
Text-based diagnosis classification is a critical problem in AI-enabled healthcare studies, which assists clinicians in making correct decision and lowering the rate of diagnostic errors. Previous studies follow the routine of sequence based deep learning models in NLP literature to deal with clinic…
The automatic diagnosis has been suffering from the problem of inadequate reliable corpus to train a trustworthy predictive model. Besides, most of the previous deep learning based diagnosis models adopt the sequence learning techniques (CNN or RNN), which is difficult to extract the complex structu…