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Smoking & Tobacco

Latest AI and machine learning research in smoking & tobacco for healthcare professionals.

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Artificial intelligence in tobacco control: A systematic scoping review of applications, challenges, and ethical implications.

BACKGROUND: Tobacco use remains a significant global health challenge, contributing substantially to...

Oct 2025 40409168
Occlusion-Guided Feature Purification Learning via Reinforced Knowledge Distillation for Occluded Person Re-Identification

Occluded person re-identification aims to retrieve holistic images based on occluded ones. Existin...

GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning

Microscopic assessment of histopathology images is vital for accurate cancer diagnosis and treatme...

IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization

Despite modifying only a small localized input region, adversarial patches can drastically change ...

EXAONE Path 2.0: Pathology Foundation Model with End-to-End Supervision

In digital pathology, whole-slide images (WSIs) are often difficult to handle due to their gigapix...

Tile-Based ViT Inference with Visual-Cluster Priors for Zero-Shot Multi-Species Plant Identification

We describe DS@GT's second-place solution to the PlantCLEF 2025 challenge on multi-species plant i...

HiLa: Hierarchical Vision-Language Collaboration for Cancer Survival Prediction

Survival prediction using whole-slide images (WSIs) is crucial in cancer re-search. Despite notabl...

Enhancing Adaptive Behavioral Interventions with LLM Inference from Participant-Described States

The use of reinforcement learning (RL) methods to support health behavior change via personalized ...

Improving Social Determinants of Health Documentation in French EHRs Using Large Language Models

Social determinants of health (SDoH) significantly influence health outcomes, shaping disease prog...

Hita: Holistic Tokenizer for Autoregressive Image Generation

Vanilla autoregressive image generation models generate visual tokens step-by-step, limiting their...

Locality-aware Parallel Decoding for Efficient Autoregressive Image Generation

We present Locality-aware Parallel Decoding (LPD) to accelerate autoregressive image generation. T...

NOCTIS: Novel Object Cyclic Threshold based Instance Segmentation

Instance segmentation of novel objects instances in RGB images, given some example images for each...

CausalMixNet: A mixed-attention framework for causal intervention in robust medical image diagnosis.

Confounding factors inherent in medical images can significantly impact the causal exploration capab...

Jul 2025 40359724
Feature-Tuning Hierarchical Transformer via token communication and sample aggregation constraint for object re-identification.

Recently, transformer-based methods have shown remarkable success in object re-identification. Howev...

Jul 2025 40120549
Decomposition-based multi-scale transformer framework for time series anomaly detection.

Time series anomaly detection is crucial for maintaining stable systems. Existing methods face two m...

Jul 2025 40120551
PBCAT: Patch-based composite adversarial training against physically realizable attacks on object detection

Object detection plays a crucial role in many security-sensitive applications. However, several re...

Pyramidal Patchification Flow for Visual Generation

Diffusion transformers (DiTs) adopt Patchify, mapping patch representations to token representatio...

GViT: Representing Images as Gaussians for Visual Recognition

We introduce GVIT, a classification framework that abandons conventional pixel or patch grid input...

Attention to Burstiness: Low-Rank Bilinear Prompt Tuning

Visual Prompt Tuning (VPT) is a parameter-efficient fune-tuning technique that adapts a pre-traine...

Recomposed realities: animating still images via patch clustering and randomness

We present a patch-based image reconstruction and animation method that uses existing image data t...

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