Latest AI and machine learning research in smoking & tobacco for healthcare professionals.
BACKGROUND: Tobacco use remains a significant global health challenge, contributing substantially to...
Occluded person re-identification aims to retrieve holistic images based on occluded ones. Existin...
Microscopic assessment of histopathology images is vital for accurate cancer diagnosis and treatme...
Despite modifying only a small localized input region, adversarial patches can drastically change ...
In digital pathology, whole-slide images (WSIs) are often difficult to handle due to their gigapix...
We describe DS@GT's second-place solution to the PlantCLEF 2025 challenge on multi-species plant i...
Survival prediction using whole-slide images (WSIs) is crucial in cancer re-search. Despite notabl...
Machine learning methods are increasingly applied to analyze health-related public discourse based...
The use of reinforcement learning (RL) methods to support health behavior change via personalized ...
Social determinants of health (SDoH) significantly influence health outcomes, shaping disease prog...
Vanilla autoregressive image generation models generate visual tokens step-by-step, limiting their...
We present Locality-aware Parallel Decoding (LPD) to accelerate autoregressive image generation. T...
Instance segmentation of novel objects instances in RGB images, given some example images for each...
Confounding factors inherent in medical images can significantly impact the causal exploration capab...
Recently, transformer-based methods have shown remarkable success in object re-identification. Howev...
Time series anomaly detection is crucial for maintaining stable systems. Existing methods face two m...
Object detection plays a crucial role in many security-sensitive applications. However, several re...
Diffusion transformers (DiTs) adopt Patchify, mapping patch representations to token representatio...
We introduce GVIT, a classification framework that abandons conventional pixel or patch grid input...
Visual Prompt Tuning (VPT) is a parameter-efficient fune-tuning technique that adapts a pre-traine...
We present a patch-based image reconstruction and animation method that uses existing image data t...