Artificial Intelligence Medical Compendium

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

Showing 10,441 to 10,450 of 209,311 articles

SIMPC: Learning Self-Induced Mirror-Point Consistency for Unsupervised Point Cloud Denoising

arXiv May 26, 2026
In point clouds, noise directly perturbs point coordinates that encode both spatial location and geometry, making one-to-one correspondence construction more challenging than in images. Existing methods impose statistical mappings across noisy varian... read more 
Computer Vision and Pattern Recognition

Practical Anonymous Two-Party Gradient Boosting Decision Tree

arXiv May 26, 2026
Structured data is well handled by gradient-boosted decision trees (GBDT), which are usually trained on vertically partitioned features across mutually distrustful parties. High speed and interpretability make GBDTs popular in finance and healthcare,... read more 
Cryptography and Security cs.AI

I2PRef: Image-Driven Point Completion with Iterative Refinement

arXiv May 26, 2026
We present an image-conditioned point cloud completion approach that treats images as the primary geometric source rather than a secondary guide. To this end, we introduce an Image-to-Point (I2P) module that can reconstruct complete point clouds dire... read more 
Computer Vision and Pattern Recognition

Leveraging Text-to-Image Diffusion Models for Unsupervised Visual Object Tracking

arXiv May 26, 2026
Unsupervised visual object tracking is a challenging task that requires following arbitrary targets in videos without training on ground-truth annotations. Despite considerable progress, existing state-of-the-art unsupervised trackers often struggle ... read more 
Computer Vision and Pattern Recognition

Object Pose and Shape Estimation for Grasping: Does it Work?

arXiv May 26, 2026
The problem of object pose and shape estimation has seen key advancements lately. Encoder-decoder (e.g., SAM3D, LRM, CRISP) and diffusion-based models (e.g., InstantMesh, Zero123, SceneComplete) have shown category-agnostic shape encoding capacity an... read more 
Robotics cs.CV

Timestep-Aware SVDQuant-GPTQ for W4A4 Quantization of Wan2.2-I2V

arXiv May 26, 2026
W4A4 quantization of large video diffusion Transformers offers substantial memory savings but is hindered by two main challenges: sparse large-magnitude activation outliers, and strongly timestep-dependent activation distributions across the multi-st... read more 
Computer Vision and Pattern Recognition cs.AI

Sampling Data with Chains of Forward-Backward Diffusion Steps

arXiv May 26, 2026
Sampling from learned high-dimensional distributions is a foundational computational problem. We introduce U-turn chains: Markov chains obtained by iterating short forward-backward steps of a diffusion model, in which each step proposes a move that r... read more 
Machine Learning cond-mat.dis-nn stat.ML

Black-box Membership Inference Attacks on the Pre-training Data of Image-generation Models

arXiv May 26, 2026
The rapid advancement of diffusion-based image generation models has raised serious concerns regarding potential copyright and privacy infringements involving human-created data. Membership inference attacks (MIAs) have emerged as a promising tool fo... read more 
Computer Vision and Pattern Recognition cs.AI

NeR-SC: Adapting Neural Video Representation to Screen Content

arXiv May 26, 2026
Implicit neural representations have emerged as a promising paradigm for video compression, with recent methods achieving competitive performance on natural video. However, screen content video -- common in remote desktop, online education, and cloud... read more 
Computer Vision and Pattern Recognition cs.MM

SCKAN: Structural Consensus-based KAN Prototype Learning for Semi-Supervised Pancreas Segmentation

arXiv May 26, 2026
Accurate pancreas segmentation is critical for early cancer diagnosis, where annotation scarcity necessitates Semi-Supervised Learning (SSL). However, due to significant inter-sample morphological variability, existing SSL methods face severe general... read more 
Computer Vision and Pattern Recognition
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