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Universal precautions

Latest AI and machine learning research in universal precautions for healthcare professionals.

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BiSeg-SAM: Weakly-Supervised Post-Processing Framework for Boosting Binary Segmentation in Segment Anything Models

Accurate segmentation of polyps and skin lesions is essential for diagnosing colorectal and skin c...

Visually Image Encryption and Compression Using a CNN-Based Auto Encoder

This paper proposes a visual encryption method to ensure the confidentiality of digital images. Th...

Hybrid Global-Local Representation with Augmented Spatial Guidance for Zero-Shot Referring Image Segmentation

Recent advances in zero-shot referring image segmentation (RIS), driven by models such as the Segm...

Machine learning to improve HIV screening using routine data in Kenya.

INTRODUCTION: Optimal use of HIV testing resources accelerates progress towards ending HIV as a glob...

Apr 2025 40254897
MuseFace: Text-driven Face Editing via Diffusion-based Mask Generation Approach

Face editing modifies the appearance of face, which plays a key role in customization and enhancem...

MGD-SAM2: Multi-view Guided Detail-enhanced Segment Anything Model 2 for High-Resolution Class-agnostic Segmentation

Segment Anything Models (SAMs), as vision foundation models, have demonstrated remarkable performa...

ReferDINO-Plus: 2nd Solution for 4th PVUW MeViS Challenge at CVPR 2025

Referring Video Object Segmentation (RVOS) aims to segment target objects throughout a video based...

Navigating with Haptic Gloves: Investigating Strategies for Horizontal and Vertical Movement Guidance

Navigating peripersonal space requires reaching targets in both horizontal (e.g., desks) and verti...

Flip Learning: Weakly Supervised Erase to Segment Nodules in Breast Ultrasound

Accurate segmentation of nodules in both 2D breast ultrasound (BUS) and 3D automated breast ultras...

Mask$^2$DiT: Dual Mask-based Diffusion Transformer for Multi-Scene Long Video Generation

Sora has unveiled the immense potential of the Diffusion Transformer (DiT) architecture in single-...

BiPrompt-SAM: Enhancing Image Segmentation via Explicit Selection between Point and Text Prompts

Segmentation is a fundamental task in computer vision, with prompt-driven methods gaining prominen...

CoSimGen: Controllable Diffusion Model for Simultaneous Image and Mask Generation

The acquisition of annotated datasets with paired images and segmentation masks is a critical chal...

Target-Aware Video Diffusion Models

We present a target-aware video diffusion model that generates videos from an input image in which...

Resource-Efficient Motion Control for Video Generation via Dynamic Mask Guidance

Recent advances in diffusion models bring new vitality to visual content creation. However, curren...

MaSS13K: A Matting-level Semantic Segmentation Benchmark

High-resolution semantic segmentation is essential for applications such as image editing, bokeh i...

FFaceNeRF: Few-shot Face Editing in Neural Radiance Fields

Recent 3D face editing methods using masks have produced high-quality edited images by leveraging ...

Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection

The CLIP model has demonstrated significant advancements in aligning visual and language modalitie...

Shining Yourself: High-Fidelity Ornaments Virtual Try-on with Diffusion Model

While virtual try-on for clothes and shoes with diffusion models has gained attraction, virtual tr...

CAM-Seg: A Continuous-valued Embedding Approach for Semantic Image Generation

Traditional transformer-based semantic segmentation relies on quantized embeddings. However, our a...

One-Shot Medical Video Object Segmentation via Temporal Contrastive Memory Networks

Video object segmentation is crucial for the efficient analysis of complex medical video data, yet...

Multi-user Wireless Image Semantic Transmission over MIMO Multiple Access Channels

This paper focuses on a typical uplink transmission scenario over multiple-input multiple-output m...

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