Artificial Intelligence Medical Compendium

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

Showing 64,451 to 64,460 of 231,605 articles

DeepUrban: Interaction-Aware Trajectory Prediction and Planning for Automated Driving by Aerial Imagery

arXiv Jan 15, 2026
The efficacy of autonomous driving systems hinges critically on robust prediction and planning capabilities. However, current benchmarks are impeded by a notable scarcity of scenarios featuring dense traffic, which is essential for understanding and ... read more 
Computer Vision and Pattern Recognition

Representation-Aware Unlearning via Activation Signatures: From Suppression to Knowledge-Signature Erasure

arXiv Jan 15, 2026
Selective knowledge erasure from LLMs is critical for GDPR compliance and model safety, yet current unlearning methods conflate behavioral suppression with true knowledge removal, allowing latent capabilities to persist beneath surface-level refusals... read more 
Computation and Language cs.LG

Jordan-Segmentable Masks: A Topology-Aware definition for characterizing Binary Image Segmentation

arXiv Jan 15, 2026
Image segmentation plays a central role in computer vision. However, widely used evaluation metrics, whether pixel-wise, region-based, or boundary-focused, often struggle to capture the structural and topological coherence of a segmentation. In many ... read more 
Computer Vision and Pattern Recognition math.AT math.NA

RSATalker: Realistic Socially-Aware Talking Head Generation for Multi-Turn Conversation

arXiv Jan 15, 2026
Talking head generation is increasingly important in virtual reality (VR), especially for social scenarios involving multi-turn conversation. Existing approaches face notable limitations: mesh-based 3D methods can model dual-person dialogue but lack ... read more 
Computer Vision and Pattern Recognition

Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding

arXiv Jan 15, 2026
Today's strongest video-language models (VLMs) remain proprietary. The strongest open-weight models either rely on synthetic data from proprietary VLMs, effectively distilling from them, or do not disclose their training data or recipe. As a result, ... read more 
Computer Vision and Pattern Recognition cs.AI

Alterbute: Editing Intrinsic Attributes of Objects in Images

arXiv Jan 15, 2026
We introduce Alterbute, a diffusion-based method for editing an object's intrinsic attributes in an image. We allow changing color, texture, material, and even the shape of an object, while preserving its perceived identity and scene context. Existin... read more 
Computer Vision and Pattern Recognition cs.GR

DInf-Grid: A Neural Differential Equation Solver with Differentiable Feature Grids

arXiv Jan 15, 2026
We present a novel differentiable grid-based representation for efficiently solving differential equations (DEs). Widely used architectures for neural solvers, such as sinusoidal neural networks, are coordinate-based MLPs that are both computationall... read more 
Machine Learning

Future Optical Flow Prediction Improves Robot Control & Video Generation

arXiv Jan 15, 2026
Future motion representations, such as optical flow, offer immense value for control and generative tasks. However, forecasting generalizable spatially dense motion representations remains a key challenge, and learning such forecasting from noisy, re... read more 
Computer Vision and Pattern Recognition

ICONIC-444: A 3.1-Million-Image Dataset for OOD Detection Research

arXiv Jan 15, 2026
Current progress in out-of-distribution (OOD) detection is limited by the lack of large, high-quality datasets with clearly defined OOD categories across varying difficulty levels (near- to far-OOD) that support both fine- and coarse-grained computer... read more 
Computer Vision and Pattern Recognition

SurfSLAM: Sim-to-Real Underwater Stereo Reconstruction For Real-Time SLAM

arXiv Jan 15, 2026
Localization and mapping are core perceptual capabilities for underwater robots. Stereo cameras provide a low-cost means of directly estimating metric depth to support these tasks. However, despite recent advances in stereo depth estimation on land, ... read more 
Robotics
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