Infectious Disease

COVID-19

Latest AI and machine learning research in covid-19 for healthcare professionals.

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Partition Map-Based Fast Block Partitioning for VVC Inter Coding

Among the new techniques of Versatile Video Coding (VVC), the quadtree with nested multi-type tree...

Masked strategies for images with small objects

The hematology analytics used for detection and classification of small blood components is a sign...

Communication-Efficient Personalized Distributed Learning with Data and Node Heterogeneity

To jointly tackle the challenges of data and node heterogeneity in decentralized learning, we prop...

Comprehensive Evaluation of Quantitative Measurements from Automated Deep Segmentations of PSMA PET/CT Images

This study performs a comprehensive evaluation of quantitative measurements as extracted from auto...

TWIG: Two-Step Image Generation using Segmentation Masks in Diffusion Models

In today's age of social media and marketing, copyright issues can be a major roadblock to the fre...

EmoSEM: Segment and Explain Emotion Stimuli in Visual Art

This paper focuses on a key challenge in visual art understanding: given an art image, the model p...

LGD: Leveraging Generative Descriptions for Zero-Shot Referring Image Segmentation

Zero-shot referring image segmentation aims to locate and segment the target region based on a ref...

Cross-attention for State-based model RWKV-7

We introduce CrossWKV, a novel cross-attention mechanism for the state-based RWKV-7 model, designe...

Tracking mob Dynamics in online social networks Using epidemiology model based on Mobility Equations

Nowadays, social media is the main tool in our new lives. The outbreak news and all related obtain...

Mask Image Watermarking

We present MaskMark, a simple, efficient, and flexible framework for image watermarking. MaskMark ...

SmartFreeEdit: Mask-Free Spatial-Aware Image Editing with Complex Instruction Understanding

Recent advancements in image editing have utilized large-scale multimodal models to enable intuiti...

DC-SAM: In-Context Segment Anything in Images and Videos via Dual Consistency

Given a single labeled example, in-context segmentation aims to segment corresponding objects. Thi...

Action Anticipation from SoccerNet Football Video Broadcasts

Artificial intelligence has revolutionized the way we analyze sports videos, whether to understand...

VLM-Fuzz: Vision Language Model Assisted Recursive Depth-first Search Exploration for Effective UI Testing of Android Apps

Testing Android apps effectively requires a systematic exploration of the app's possible states by...

Efficient and Stable Multi-Dimensional Kolmogorov-Smirnov Distance

We revisit extending the Kolmogorov-Smirnov distance between probability distributions to the mult...

The Lifetime of the Covid Memorial Wall: Modelling with Collections Demography, Social Media Data and Citizen Science

The National Covid Memorial Wall in London, featuring over 240,000 hand-painted red hearts, faces ...

XY-Cut++: Advanced Layout Ordering via Hierarchical Mask Mechanism on a Novel Benchmark

Document Reading Order Recovery is a fundamental task in document image understanding, playing a p...

SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model

Remote sensing has become critical for understanding environmental dynamics, urban planning, and d...

seg2med: a segmentation-based medical image generation framework using denoising diffusion probabilistic models

In this study, we present seg2med, an advanced medical image synthesis framework that uses Denoisi...

Evolved Hierarchical Masking for Self-Supervised Learning

Existing Masked Image Modeling methods apply fixed mask patterns to guide the self-supervised trai...

Sculpting Memory: Multi-Concept Forgetting in Diffusion Models via Dynamic Mask and Concept-Aware Optimization

Text-to-image (T2I) diffusion models have achieved remarkable success in generating high-quality i...

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