Artificial Intelligence Medical Compendium

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

Showing 31,441 to 31,450 of 220,544 articles

Representing 3D Faces with Learnable B-Spline Volumes

arXiv Apr 14, 2026
We present CUBE (Control-based Unified B-spline Encoding), a new geometric representation for human faces that combines B-spline volumes with learned features, and demonstrate its use as a decoder for 3D scan registration and monocular 3D face recons... read more 
Computer Vision and Pattern Recognition

A Sanity Check on Composed Image Retrieval

arXiv Apr 14, 2026
Composed Image Retrieval (CIR) aims to retrieve a target image based on a query composed of a reference image, and a relative caption that specifies the desired modification. Despite the rapid development of CIR models, their performance is not well ... read more 
Computer Vision and Pattern Recognition

M3D-Stereo: A Multiple-Medium and Multiple-Degradation Dataset for Stereo Image Restoration

arXiv Apr 14, 2026
Image restoration under adverse conditions, such as underwater, haze or fog, and low-light environments, remains a highly challenging problem due to complex physical degradations and severe information loss. Existing datasets are predominantly limite... read more 
Computer Vision and Pattern Recognition

Pi-HOC: Pairwise 3D Human-Object Contact Estimation

arXiv Apr 14, 2026
Resolving real-world human-object interactions in images is a many-to-many challenge, in which disentangling fine-grained concurrent physical contact is particularly difficult. Existing semantic contact estimation methods are either limited to single... read more 
Computer Vision and Pattern Recognition

Token Encoding for Semantic Recovery

arXiv Apr 14, 2026
Token-based semantic communication is promising for future wireless networks, as it can compact semantic tokens under very limited channel capacity. However, harsh wireless channels often cause missing tokens, leading to severe distortion that preven... read more 
Signal Processing cs.LG

Task Alignment: A simple and effective proxy for model merging in computer vision

arXiv Apr 14, 2026
Efficiently merging several models fine-tuned for different tasks, but stemming from the same pretrained base model, is of great practical interest. Despite extensive prior work, most evaluations of model merging in computer vision are restricted to ... read more 
Computer Vision and Pattern Recognition

Direct Discrepancy Replay: Distribution-Discrepancy Condensation and Manifold-Consistent Replay for Continual Face Forgery Detection

arXiv Apr 14, 2026
Continual face forgery detection (CFFD) requires detectors to learn emerging forgery paradigms without forgetting previously seen manipulations. Existing CFFD methods commonly rely on replaying a small amount of past data to mitigate forgetting. Such... read more 
Computer Vision and Pattern Recognition

Adaptive Data Dropout: Towards Self-Regulated Learning in Deep Neural Networks

arXiv Apr 14, 2026
Deep neural networks are typically trained by uniformly sampling large datasets across epochs, despite evidence that not all samples contribute equally throughout learning. Recent work shows that progressively reducing the amount of training data can... read more 
Machine Learning cs.CV

Boosting Visual Instruction Tuning with Self-Supervised Guidance

arXiv Apr 14, 2026
Multimodal large language models (MLLMs) perform well on many vision-language tasks but often struggle with vision-centric problems that require fine-grained visual reasoning. Recent evidence suggests that this limitation arises not from weak visual ... read more 
Computer Vision and Pattern Recognition

AbdomenGen: Sequential Volume-Conditioned Diffusion Framework for Abdominal Anatomy Generation

arXiv Apr 14, 2026
Computational phantoms are widely used in medical imaging research, yet current systems to generate controlled, clinically meaningful anatomical variations remain limited. We present AbdomenGen, a sequential volume-conditioned diffusion framework for... read more 
Computer Vision and Pattern Recognition
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