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Smoking & Tobacco

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

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Showing 883-903 of 2,721 articles
SegKAN: High-Resolution Medical Image Segmentation with Long-Distance Dependencies

Hepatic vessels in computed tomography scans often suffer from image fragmentation and noise inter...

Sensing Surface Patches in Volume Rendering for Inferring Signed Distance Functions

It is vital to recover 3D geometry from multi-view RGB images in many 3D computer vision tasks. Th...

Next Patch Prediction for Autoregressive Visual Generation

Autoregressive models, built based on the Next Token Prediction (NTP) paradigm, show great potenti...

Promptable Representation Distribution Learning and Data Augmentation for Gigapixel Histopathology WSI Analysis

Gigapixel image analysis, particularly for whole slide images (WSIs), often relies on multiple ins...

Incorporating Feature Pyramid Tokenization and Open Vocabulary Semantic Segmentation

The visual understanding are often approached from 3 granular levels: image, patch and pixel. Visu...

ORFormer: Occlusion-Robust Transformer for Accurate Facial Landmark Detection

Although facial landmark detection (FLD) has gained significant progress, existing FLD methods sti...

3D MedDiffusion: A 3D Medical Diffusion Model for Controllable and High-quality Medical Image Generation

The generation of medical images presents significant challenges due to their high-resolution and ...

Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning

Many unsupervised visual anomaly detection methods train an auto-encoder to reconstruct normal sam...

A Two-Fold Patch Selection Approach for Improved 360-Degree Image Quality Assessment

This article presents a novel approach to improving the accuracy of 360-degree perceptual image qu...

CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology

The emergence of large multimodal models (LMMs) has brought significant advancements to pathology....

On the Generalizability of Iterative Patch Selection for Memory-Efficient High-Resolution Image Classification

Classifying large images with small or tiny regions of interest (ROI) is challenging due to comput...

Uni-AdaFocus: Spatial-temporal Dynamic Computation for Video Recognition

This paper presents a comprehensive exploration of the phenomenon of data redundancy in video unde...

Why and How: Knowledge-Guided Learning for Cross-Spectral Image Patch Matching

Recently, cross-spectral image patch matching based on feature relation learning has attracted ext...

MoRe: Class Patch Attention Needs Regularization for Weakly Supervised Semantic Segmentation

Weakly Supervised Semantic Segmentation (WSSS) with image-level labels typically uses Class Activa...

TrafficLoc: Localizing Traffic Surveillance Cameras in 3D Scenes

We tackle the problem of localizing traffic cameras within a 3D reference map and propose a novel ...

Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer

Segmentation of ultra-high resolution (UHR) images is a critical task with numerous applications, ...

WordVIS: A Color Worth A Thousand Words

Document classification is considered a critical element in automated document processing systems....

MAGIC: Mastering Physical Adversarial Generation in Context through Collaborative LLM Agents

Physical adversarial attacks in driving scenarios can expose critical vulnerabilities in visual pe...

A Real-Time Defense Against Object Vanishing Adversarial Patch Attacks for Object Detection in Autonomous Vehicles

Autonomous vehicles (AVs) increasingly use DNN-based object detection models in vision-based perce...

GCUNet: A GNN-Based Contextual Learning Network for Tertiary Lymphoid Structure Semantic Segmentation in Whole Slide Image

We focus on tertiary lymphoid structure (TLS) semantic segmentation in whole slide image (WSI). Un...

PatchDPO: Patch-level DPO for Finetuning-free Personalized Image Generation

Finetuning-free personalized image generation can synthesize customized images without test-time f...

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