COVID-19

COVID-19

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

6,831 articles

Infectious-Disease Subcategories: Bacterial Infection COVID-19 Flu & URI Fungal Infection Hepatitis HIV/AIDS Public Health STDs Vaccines

Showing 3445-3465 of 6,831 articles

MotionPro: A Precise Motion Controller for Image-to-Video Generation

Animating images with interactive motion control has garnered popularity for image-to-video (I2V) ...

May 2025 http://arxiv.org/abs/2505.20287v1

The Missing Point in Vision Transformers for Universal Image Segmentation

Image segmentation remains a challenging task in computer vision, demanding robust mask generation...

May 2025 http://arxiv.org/abs/2505.19795v1

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation

The rapid advancement of diffusion models has enhanced their image inpainting and editing capabili...

May 2025 http://arxiv.org/abs/2505.19425v1

LlamaSeg: Image Segmentation via Autoregressive Mask Generation

We present LlamaSeg, a visual autoregressive framework that unifies multiple image segmentation ta...

May 2025 http://arxiv.org/abs/2505.19422v1

Predicting high confidence ctDNA somatic variants with ensemble machine learning models.

Circulating tumour DNA (ctDNA) is a minimally invasive cancer biomarker that can be used to inform t...

May 2025 40419568

AbSet: A Standardized Data Set of Antibody Structures for Machine Learning Applications.

Machine learning algorithms have played a fundamental role in the development of therapeutic antibod...

May 2025 40349368

STRICT: Stress Test of Rendering Images Containing Text

While diffusion models have revolutionized text-to-image generation with their ability to synthesi...

May 2025 http://arxiv.org/abs/2505.18985v1

Mind the Gap: A Practical Attack on GGUF Quantization

With the increasing size of frontier LLMs, post-training quantization has become the standard for ...

May 2025 http://arxiv.org/abs/2505.23786v3

Can MLLMs Guide Me Home? A Benchmark Study on Fine-Grained Visual Reasoning from Transit Maps

Multimodal large language models (MLLMs) have recently achieved significant progress in visual tas...

May 2025 http://arxiv.org/abs/2505.18675v2

DVD-Quant: Data-free Video Diffusion Transformers Quantization

Diffusion Transformers (DiTs) have emerged as the state-of-the-art architecture for video generati...

May 2025 http://arxiv.org/abs/2505.18663v1

ThinkVideo: High-Quality Reasoning Video Segmentation with Chain of Thoughts

Reasoning Video Object Segmentation is a challenging task, which generates a mask sequence from an...

May 2025 http://arxiv.org/abs/2505.18561v1

Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation

Open-set image segmentation poses a significant challenge because existing methods often demand ex...

May 2025 http://arxiv.org/abs/2505.17994v1

LLM Meeting Decision Trees on Tabular Data

Tabular data have been playing a vital role in diverse real-world fields, including healthcare, fi...

May 2025 http://arxiv.org/abs/2505.17918v1

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data

Despite the advances in Referring Expression Segmentation (RES) benchmarks, their evaluation proto...

May 2025 http://arxiv.org/abs/2505.17695v1

Instruct2See: Learning to Remove Any Obstructions Across Distributions

Images are often obstructed by various obstacles due to capture limitations, hindering the observa...

May 2025 http://arxiv.org/abs/2505.17649v1

EVM-Fusion: An Explainable Vision Mamba Architecture with Neural Algorithmic Fusion

Medical image classification is critical for clinical decision-making, yet demands for accuracy, i...

May 2025 http://arxiv.org/abs/2505.17367v3

EVM-Fusion: An Explainable Vision Mamba Architecture with Neural Algorithmic Fusion

Medical image classification is critical for clinical decision-making, yet demands for accuracy, i...

May 2025 http://arxiv.org/abs/2505.17367v1

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding

Recent advancements in multimodal large language models (MLLMs) have significantly improved perfor...

May 2025 http://arxiv.org/abs/2505.16652v1

Circle-RoPE: Cone-like Decoupled Rotary Positional Embedding for Large Vision-Language Models

Rotary Position Embedding (RoPE) is a widely adopted technique for encoding relative positional in...

May 2025 http://arxiv.org/abs/2505.16416v1

UWSAM: Segment Anything Model Guided Underwater Instance Segmentation and A Large-scale Benchmark Dataset

With recent breakthroughs in large-scale modeling, the Segment Anything Model (SAM) has demonstrat...

May 2025 http://arxiv.org/abs/2505.15581v1

Explainable embeddings with Distance Explainer

While eXplainable AI (XAI) has advanced significantly, few methods address interpretability in emb...

May 2025 http://arxiv.org/abs/2505.15516v1

Infectious Disease

Browse Categories

MotionPro: A Precise Motion Controller for Image-to-Video Generation

The Missing Point in Vision Transformers for Universal Image Segmentation

Structure Disruption: Subverting Malicious Diffusion-Based Inpainting via Self-Attention Query Perturbation

LlamaSeg: Image Segmentation via Autoregressive Mask Generation

Predicting high confidence ctDNA somatic variants with ensemble machine learning models.

AbSet: A Standardized Data Set of Antibody Structures for Machine Learning Applications.

STRICT: Stress Test of Rendering Images Containing Text

Mind the Gap: A Practical Attack on GGUF Quantization

Can MLLMs Guide Me Home? A Benchmark Study on Fine-Grained Visual Reasoning from Transit Maps

DVD-Quant: Data-free Video Diffusion Transformers Quantization

ThinkVideo: High-Quality Reasoning Video Segmentation with Chain of Thoughts

Segment Anyword: Mask Prompt Inversion for Open-Set Grounded Segmentation

LLM Meeting Decision Trees on Tabular Data

SynRES: Towards Referring Expression Segmentation in the Wild via Synthetic Data

Instruct2See: Learning to Remove Any Obstructions Across Distributions

EVM-Fusion: An Explainable Vision Mamba Architecture with Neural Algorithmic Fusion

EVM-Fusion: An Explainable Vision Mamba Architecture with Neural Algorithmic Fusion

Seeing Far and Clearly: Mitigating Hallucinations in MLLMs with Attention Causal Decoding

Circle-RoPE: Cone-like Decoupled Rotary Positional Embedding for Large Vision-Language Models

UWSAM: Segment Anything Model Guided Underwater Instance Segmentation and A Large-scale Benchmark Dataset

Explainable embeddings with Distance Explainer

Browse Categories