Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
This paper investigates whether sequence models can learn to perform numerical algorithms, e.g. gr...
Localization is one of the core parts of modern robotics. Classic localization methods typically f...
We introduce MentalChat16K, an English benchmark dataset combining a synthetic mental health couns...
Navigation and manipulation in open-world environments remain unsolved challenges in the Embodied ...
Advanced end-to-end autonomous driving systems predict other vehicles' motions and plan ego vehicl...
Video body-swapping aims to replace the body in an existing video with a new body from arbitrary s...
Existing learning-based video compression methods still face challenges related to inaccurate moti...
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...
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...
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...