Infectious Disease

COVID-19

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

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Optimizing Learned Image Compression on Scalar and Entropy-Constraint Quantization

The continuous improvements on image compression with variational autoencoders have lead to learne...

Parallel FFTW on RISC-V: A Comparative Study including OpenMP, MPI, and HPX

Rapid advancements in RISC-V hardware development shift the focus from low-level optimizations to ...

A Probability-guided Sampler for Neural Implicit Surface Rendering

Several variants of Neural Radiance Fields (NeRFs) have significantly improved the accuracy of syn...

Private Evolution Converges

Private Evolution (PE) is a promising training-free method for differentially private (DP) synthet...

Difference Inversion: Interpolate and Isolate the Difference with Token Consistency for Image Analogy Generation

How can we generate an image B' that satisfies A:A'::B:B', given the input images A,A' and B? Rece...

Generate Realistic Test Scenes for V2X Communication Systems

Accurately perceiving complex driving environments is essential for ensuring the safe operation of...

MapleGrasp: Mask-guided Feature Pooling for Language-driven Efficient Robotic Grasping

Robotic manipulation of unseen objects via natural language commands remains challenging. Language...

O-MaMa @ EgoExo4D Correspondence Challenge: Learning Object Mask Matching between Egocentric and Exocentric Views

The goal of the correspondence task is to segment specific objects across different views. This te...

Integrating Spatiotemporal Features in LSTM for Spatially Informed COVID-19 Hospitalization Forecasting

The COVID-19 pandemic's severe impact highlighted the need for accurate, timely hospitalization fo...

ADAMIX: Adaptive Mixed-Precision Delta-Compression with Quantization Error Optimization for Large Language Models

Large language models (LLMs) achieve impressive performance on various knowledge-intensive and com...

Refer to Anything with Vision-Language Prompts

Recent image segmentation models have advanced to segment images into high-quality masks for visua...

VideoMolmo: Spatio-Temporal Grounding Meets Pointing

Spatio-temporal localization is vital for precise interactions across diverse domains, from biolog...

PixCell: A generative foundation model for digital histopathology images

The digitization of histology slides has revolutionized pathology, providing massive datasets for ...

Neuronal avalanches as a predictive biomarker of BCI performance: towards a tool to guide tailored training program

Brain-Computer Interfaces (BCIs) based on motor imagery (MI) hold promise for restoring control in...

Multiscale guidance of AlphaFold3 with heterogeneous cryo-EM data

Protein structure prediction models are now capable of generating accurate 3D structural hypothese...

LayerFlow: A Unified Model for Layer-aware Video Generation

We present LayerFlow, a unified solution for layer-aware video generation. Given per-layer prompts...

Robust Neural Rendering in the Wild with Asymmetric Dual 3D Gaussian Splatting

3D reconstruction from in-the-wild images remains a challenging task due to inconsistent lighting ...

Delta-KNN: Improving Demonstration Selection in In-Context Learning for Alzheimer's Disease Detection

Alzheimer's Disease (AD) is a progressive neurodegenerative disorder that leads to dementia, and e...

TestAgent: An Adaptive and Intelligent Expert for Human Assessment

Accurately assessing internal human states is key to understanding preferences, offering personali...

Investigating Mask-aware Prototype Learning for Tabular Anomaly Detection

Tabular anomaly detection, which aims at identifying deviant samples, has been crucial in a variet...

RobustSplat: Decoupling Densification and Dynamics for Transient-Free 3DGS

3D Gaussian Splatting (3DGS) has gained significant attention for its real-time, photo-realistic r...

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