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Identifying and Reporting Child abuse

Latest AI and machine learning research in identifying and reporting child abuse for healthcare professionals.

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Showing 316-336 of 2,753 articles
RomanTex: Decoupling 3D-aware Rotary Positional Embedded Multi-Attention Network for Texture Synthesis

Painting textures for existing geometries is a critical yet labor-intensive process in 3D asset ge...

LaMOuR: Leveraging Language Models for Out-of-Distribution Recovery in Reinforcement Learning

Deep Reinforcement Learning (DRL) has demonstrated strong performance in robotic control but remai...

A Study into Investigating Temporal Robustness of LLMs

Large Language Models (LLMs) encapsulate a surprising amount of factual world knowledge. However, ...

Multi-Granular Multimodal Clue Fusion for Meme Understanding

With the continuous emergence of various social media platforms frequently used in daily life, the...

Aerial Vision-and-Language Navigation with Grid-based View Selection and Map Construction

Aerial Vision-and-Language Navigation (Aerial VLN) aims to obtain an unmanned aerial vehicle agent...

Natural Humanoid Robot Locomotion with Generative Motion Prior

Natural and lifelike locomotion remains a fundamental challenge for humanoid robots to interact wi...

"Principal Components" Enable A New Language of Images

We introduce a novel visual tokenization framework that embeds a provable PCA-like structure into ...

GAS-NeRF: Geometry-Aware Stylization of Dynamic Radiance Fields

Current 3D stylization techniques primarily focus on static scenes, while our world is inherently ...

Personalized Code Readability Assessment: Are We There Yet?

Unreadable code could be a breeding ground for errors. Thus, previous work defined approaches base...

SeCap: Self-Calibrating and Adaptive Prompts for Cross-view Person Re-Identification in Aerial-Ground Networks

When discussing the Aerial-Ground Person Re-identification (AGPReID) task, we face the main challe...

MPTSNet: Integrating Multiscale Periodic Local Patterns and Global Dependencies for Multivariate Time Series Classification

Multivariate Time Series Classification (MTSC) is crucial in extensive practical applications, suc...

V$^2$Dial: Unification of Video and Visual Dialog via Multimodal Experts

We present V$^2$Dial - a novel expert-based model specifically geared towards simultaneously handl...

A Lightweight Deep Exclusion Unfolding Network for Single Image Reflection Removal

Single Image Reflection Removal (SIRR) is a canonical blind source separation problem and refers t...

Soybean Disease Detection via Interpretable Hybrid CNN-GNN: Integrating MobileNetV2 and GraphSAGE with Cross-Modal Attention

Soybean leaf disease detection is critical for agricultural productivity but faces challenges due ...

Parallel-Learning of Invariant and Tempo-variant Attributes of Single-Lead Cardiac Signals: PLITA

Wearable sensing devices, such as Holter monitors, will play a crucial role in the future of digit...

Unleashing the Potential of Two-Tower Models: Diffusion-Based Cross-Interaction for Large-Scale Matching

Two-tower models are widely adopted in the industrial-scale matching stage across a broad range of...

Optimizing functional brain network analysis by incorporating nonlinear factors and frequency band selection with machine learning models.

The accurate assessment of the brain's functional network is seen as crucial for the understanding o...

Feb 2025 40020107
The NeRF Signature: Codebook-Aided Watermarking for Neural Radiance Fields

Neural Radiance Fields (NeRF) have been gaining attention as a significant form of 3D content repr...

Symmetrical Visual Contrastive Optimization: Aligning Vision-Language Models with Minimal Contrastive Images

Recent studies have shown that Large Vision-Language Models (VLMs) tend to neglect image content a...

MGFI-Net: A Multi-Grained Feature Integration Network for Enhanced Medical Image Segmentation

Medical image segmentation plays a crucial role in various clinical applications. A major challeng...

Amnesia as a Catalyst for Enhancing Black Box Pixel Attacks in Image Classification and Object Detection

It is well known that query-based attacks tend to have relatively higher success rates in adversar...

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