Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
Feature Coding for Machines (FCM) aims to compress intermediate features effectively for remote in...
Encryption is crucial for securing sensitive data during transmission over networks. Various encry...
UAV has been widely used in various fields. However, most of the existing object detectors used in...
Validating key claims in scientific literature, particularly in biomedical research, is essential ...
Implicit neural representations (INRs) such as NeRF and SIREN encode a signal in neural network pa...
The real-time assessment of complex motor skills presents a challenge in fields such as surgical t...
Current end-to-end (E2E) and plug-and-play (PnP) image reconstruction algorithms approximate the m...
Modern scene text recognition systems often depend on large end-to-end architectures that require ...
Creating expressive character animations is labor-intensive, requiring intricate manual adjustment...
The computer vision community has developed numerous techniques for digitally restoring true scene...
Recent video diffusion models have enhanced video editing, but it remains challenging to handle in...
Accurate transformation estimation between camera space and robot space is essential. Traditional ...
Electrocardiogram data, one of the most widely available biosignal data, has become increasingly v...
Hydra-MDP++ introduces a novel teacher-student knowledge distillation framework with a multi-head ...
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...