Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
We introduce Flashback Learning (FL), a novel method designed to harmonize the stability and plast...
Distributed and federated learning are important tools for high-dimensional classification of larg...
Rare and intractable diseases affect an estimated 3.5% to 5.9% of the global population but remain l...
Both limited annotation and domain shift are prevalent challenges in medical image segmentation. T...
Image-based virtual try-on aims to fit a target garment to a specific person image and has attract...
Optimizing performance and energy efficiency in many-core processors, especially within Non-Unifor...
Object detection is a cornerstone of environmental perception in advanced driver assistance system...
Object detection is a cornerstone of environmental perception in advanced driver assistance system...
Stylized abstraction synthesizes visually exaggerated yet semantically faithful representations of...
Machine unlearning aims to remove the influence of specific training samples from a trained model ...
Traffic safety science has long been hindered by a fundamental data paradox: the crashes we most w...
Diffusion models have shown strong capabilities in high-fidelity image generation but often falter...
Dataset distillation (DD) has emerged as a powerful paradigm for dataset compression, enabling the...
Generative image editing using diffusion models has become a prevalent application in today's AI c...
We present OvSGTR, a novel transformer-based framework for fully open-vocabulary scene graph gener...
Long-term Action Quality Assessment (AQA) aims to evaluate the quantitative performance of actions...
Spatio-temporal prediction is a pivotal task with broad applications in traffic management, climat...
Large Language Models (LLMs) falter in multi-step interactions -- often hallucinating, repeating a...
In recent years, the fusion of the medical and computer science domains has gained significant tract...
Guidance is a cornerstone of modern diffusion models, playing a pivotal role in conditional genera...
Face swapping, recognized as a privacy and security concern, has prompted considerable defensive r...