Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 47,611 to 47,620 of 224,199 articles

From Pairs to Sequences: Track-Aware Policy Gradients for Keypoint Detection

arXiv
Keypoint-based matching is a fundamental component of modern 3D vision systems, such as Structure-from-Motion (SfM) and SLAM. Most existing learning-based methods are trained on image pairs, a paradigm that fails to explicitly optimize for the long-t... read more 

Boosting Instance Awareness via Cross-View Correlation with 4D Radar and Camera for 3D Object Detection

arXiv
4D millimeter-wave radar has emerged as a promising sensing modality for autonomous driving due to its robustness and affordability. However, its sparse and weak geometric cues make reliable instance activation difficult, limiting the effectiveness o... read more 

SurgAtt-Tracker: Online Surgical Attention Tracking via Temporal Proposal Reranking and Motion-Aware Refinement

arXiv
Accurate and stable field-of-view (FoV) guidance is critical for safe and efficient minimally invasive surgery, yet existing approaches often conflate visual attention estimation with downstream camera control or rely on direct object-centric assumpt... read more 

Dataset Color Quantization: A Training-Oriented Framework for Dataset-Level Compression

arXiv
Large-scale image datasets are fundamental to deep learning, but their high storage demands pose challenges for deployment in resource-constrained environments. While existing approaches reduce dataset size by discarding samples, they often ignore th... read more 

AnimeAgent: Is the Multi-Agent via Image-to-Video models a Good Disney Storytelling Artist?

arXiv
Custom Storyboard Generation (CSG) aims to produce high-quality, multi-character consistent storytelling. Current approaches based on static diffusion models, whether used in a one-shot manner or within multi-agent frameworks, face three key limitati... read more 

BBQ-to-Image: Numeric Bounding Box and Qolor Control in Large-Scale Text-to-Image Models

arXiv
Text-to-image models have rapidly advanced in realism and controllability, with recent approaches leveraging long, detailed captions to support fine-grained generation. However, a fundamental parametric gap remains: existing models rely on descriptiv... read more 

GA-Drive: Geometry-Appearance Decoupled Modeling for Free-viewpoint Driving Scene Generatio

arXiv
A free-viewpoint, editable, and high-fidelity driving simulator is crucial for training and evaluating end-to-end autonomous driving systems. In this paper, we present GA-Drive, a novel simulation framework capable of generating camera views along us... read more 

UrbanFM: Scaling Urban Spatio-Temporal Foundation Models

arXiv
Urban systems, as dynamic complex systems, continuously generate spatio-temporal data streams that encode the fundamental laws of human mobility and city evolution. While AI for Science has witnessed the transformative power of foundation models in d... read more 

Vanishing Watermarks: Diffusion-Based Image Editing Undermines Robust Invisible Watermarking

arXiv
Robust invisible watermarking schemes aim to embed hidden information into images such that the watermark survives common manipulations. However, powerful diffusion-based image generation and editing techniques now pose a new threat to these watermar... read more 

NGL-Prompter: Training-Free Sewing Pattern Estimation from a Single Image

arXiv
Estimating sewing patterns from images is a practical approach for creating high-quality 3D garments. Due to the lack of real-world pattern-image paired data, prior approaches fine-tune large vision language models (VLMs) on synthetic garment dataset... read more