Artificial Intelligence Medical Compendium

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

Showing 53,161 to 53,170 of 225,548 articles

Bridging the Indoor-Outdoor Gap: Vision-Centric Instruction-Guided Embodied Navigation for the Last Meters

arXiv
Embodied navigation holds significant promise for real-world applications such as last-mile delivery. However, most existing approaches are confined to either indoor or outdoor environments and rely heavily on strong assumptions, such as access to pr... read more 

ChatUMM: Robust Context Tracking for Conversational Interleaved Generation

arXiv
Unified multimodal models (UMMs) have achieved remarkable progress yet remain constrained by a single-turn interaction paradigm, effectively functioning as solvers for independent requests rather than assistants in continuous dialogue. To bridge this... read more 

Exploring Specular Reflection Inconsistency for Generalizable Face Forgery Detection

arXiv
Detecting deepfakes has become increasingly challenging as forgery faces synthesized by AI-generated methods, particularly diffusion models, achieve unprecedented quality and resolution. Existing forgery detection approaches relying on spatial and fr... read more 

Rebenchmarking Unsupervised Monocular 3D Occupancy Prediction

arXiv
Inferring the 3D structure from a single image, particularly in occluded regions, remains a fundamental yet unsolved challenge in vision-centric autonomous driving. Existing unsupervised approaches typically train a neural radiance field and treat th... read more 

FloorplanVLM: A Vision-Language Model for Floorplan Vectorization

arXiv
Converting raster floorplans into engineering-grade vector graphics is challenging due to complex topology and strict geometric constraints. To address this, we present FloorplanVLM, a unified framework that reformulates floorplan vectorization as an... read more 

Universal Anti-forensics Attack against Image Forgery Detection via Multi-modal Guidance

arXiv
The rapid advancement of AI-Generated Content (AIGC) technologies poses significant challenges for authenticity assessment. However, existing evaluation protocols largely overlook anti-forensics attack, failing to ensure the comprehensive robustness ... read more 

Evolving Ranking Functions for Canonical Blow-Ups in Positive Characteristic

arXiv
Resolution of singularities in positive characteristic remains a long-standing open problem in algebraic geometry. In characteristic zero, the problem was solved by Hironaka in 1964, work for which he was awarded the Fields Medal. Modern proofs proce... read more 

SPARC: Separating Perception And Reasoning Circuits for Test-time Scaling of VLMs

arXiv
Despite recent successes, test-time scaling - i.e., dynamically expanding the token budget during inference as needed - remains brittle for vision-language models (VLMs): unstructured chains-of-thought about images entangle perception and reasoning, ... read more 

Transformer-based Parameter Fitting of Models derived from Bloch-McConnell Equations for CEST MRI Analysis

arXiv
Chemical exchange saturation transfer (CEST) MRI is a non-invasive imaging modality for detecting metabolites. It offers higher resolution and sensitivity compared to conventional magnetic resonance spectroscopy (MRS). However, quantification of CEST... read more 

Exploring Sparsity and Smoothness of Arbitrary $\ell_p$ Norms in Adversarial Attacks

arXiv
Adversarial attacks against deep neural networks are commonly constructed under $\ell_p$ norm constraints, most often using $p=1$, $p=2$ or $p=\infty$, and potentially regularized for specific demands such as sparsity or smoothness. These choices are... read more