Latest AI and machine learning research in medical education for healthcare professionals.
Multimodal large language models (MLLMs) have achieved remarkable performance across a wide range of...
Self-supervised visual pre-training methods face an inherent tension: contrastive learning (CL) capt...
This paper introduces a synthetic benchmark to evaluate the performance of vision language models (V...
ABSTRACT Background : The United Arab Emirates (UAE) is characterised by a diverse educational lands...
Background and objectives: Colorectal cancer histopathological grading depends on accurate segmentat...
Pretraining and fine-tuning have emerged as a new paradigm in remote sensing image interpretation. A...
Event cameras offer high temporal resolution and low latency, making them ideal sensors for high-spe...
High-fidelity three-dimensional (3D) reconstruction is essential for robotics and simulation. While ...
Genomic language models (gLMs) hold great promise for deciphering biological sequences, yet their ef...
Knowledge-Based Visual Question Answering (KB-VQA) requires models to answer questions about an imag...
In the landscape of modern machine learning, frozen pre-trained models provide stability and efficie...
Current video generation models cannot simulate physical consequences of 3D actions like forces and ...
We present \textbf{BLOCK}, an open-source bi-stage character-to-skin pipeline that generates pixel-p...
Background: Health technology assessment (HTA) agencies issue reimbursement recommendations that det...
Compositional scene reconstruction seeks to create object-centric representations rather than holist...
We present FireRed-OCR, a systematic framework to specialize general VLMs into high-performance OCR ...
Compositional scene reconstruction seeks to create object-centric representations rather than holist...
Instruction-based video editing has witnessed rapid progress, yet current methods often struggle wit...
Simulation is essential to the development and evaluation of autonomous robots such as self-driving ...
Unified conditional image generation remains difficult because different tasks depend on fundamental...
Background Clinicians in care management programs are often in low supply relative to patient demand...