Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
This paper proposes a task-oriented co-design framework that integrates communication, computing, ...
Although end-to-end autonomous driving (E2E-AD) technologies have made significant progress in rec...
Bag-based Multiple Instance Learning (MIL) approaches have emerged as the mainstream methodology f...
Progress in Embodied AI has made it possible for end-to-end-trained agents to navigate in photo-re...
In recent years, there has been increased interest in the design, training, and evaluation of end-...
Temporal localization in untrimmed videos, which aims to identify specific timestamps, is crucial ...
Existing approaches to action segmentation use pre-computed frame features extracted by methods wh...
In recent years, fully differentiable end-to-end autonomous driving systems have become a research...
Palm-sized autonomous nano-drones, i.e., sub-50g in weight, recently entered the drone racing scen...
Multi-sensor fusion is essential for autonomous vehicle localization, as it is capable of integrat...
Diffusion MRI (dMRI) plays a crucial role in studying brain white matter connectivity. Cortical su...
As a crucial part of the spectral filter array (SFA)-based multispectral imaging process, spectral...
Accurate localization plays an important role in high-level autonomous driving systems. Convention...
End-to-end vision-based imitation learning has demonstrated promising results in autonomous drivin...
The role of artificial intelligence (AI) in pathology has evolved from aiding diagnostics to uncov...
In autonomous driving, dynamic environment and corner cases pose significant challenges to the rob...
In the field of image-based drug discovery, capturing the phenotypic response of cells to various ...
Imitation learning has proven to be highly effective in teaching robots dexterous manipulation ski...
An efficient attention implementation is essential for large models due to its quadratic time comp...
Automated planning is traditionally the domain of experts, utilized in fields like manufacturing a...
Automated chart summarization is crucial for enhancing data accessibility and enabling efficient i...