Latest AI and machine learning research in care of terminally ill / palliative care for healthcare professionals.
We introduce Latent-WAM, an efficient end-to-end autonomous driving framework that achieves strong t...
The Brain Tumor Reporting and Data System (BT-RADS) standardizes post-treatment MRI response assessm...
Diffusion models have achieved impressive performance on multi-focus image fusion (MFIF). However, a...
The computational demands of modern AI services are increasingly shifting execution beyond centraliz...
Text-to-image (T2I) models such as Stable Diffusion and DALLE remain susceptible to generating harmf...
We propose DepthTCM, a physics-aware end-to-end framework for depth map compression. In our framewor...
Reconstructing 3D assets from images has long required separate pipelines for geometry reconstructio...
In this paper, we address the problem of 6-DoF object pose estimation from a single RGB image. Indir...
Invasive Coronary Angiography (ICA) is the clinical gold standard for the assessment of coronary art...
Quantum Generative Adversarial Networks (QGANs) offer a promising path for learning data distributio...
Accurate prediction of drug metabolites and enzyme selectivity is essential for rational drug design...
Many wireless vision applications, such as autonomous driving, require preservation of global struct...
Computational methods on analyzing Whole Slide Images (WSIs) enable early diagnosis and treatments b...
SAM 3D Body (3DB) achieves state-of-the-art accuracy in monocular 3D human mesh recovery, yet its in...
Scene Text Image Super-Resolution (STISR) aims to restore high-resolution details in low-resolution ...
Existing text-to-video retrieval benchmarks are dominated by real-world footage where much of the se...
The automatic identification of cough segments in audio through the determination of start and end p...
End-to-end In-Image Machine Translation (IIMT) aims to convert text embedded within an image into a ...
Breast ultrasound diagnosis typically proceeds from global lesion localization to local sign assessm...
Recent progress in learning-based image compression has demonstrated that end-to-end optimization ca...
Document Image Machine Translation (DIMT) seeks to translate text embedded in document images from o...