AI & Machine Learning · Computer Science & AI
Computer Vision
The newest papers in Computer Vision that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
The newest 5,000 papers, from 29 September 2026 to 5 November 2026: 4,999 arXiv preprints and 1 OpenAlex record.
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Newest papers, page 29
Spatial and Temporal Super-Resolution and Denoising of Intracardiac 4D Flow MRI
Intracardiac flow is driven by complex, and time-varying cardiac motion and interaction with the heart valves, producing complex flow features that may provide valuable information for disease…From Visual Matching to Textual Conditioning: Cross-Domain Few-Shot Segmentation via Reference Inversion
Cross-Domain Few-Shot Segmentation (CD-FSS) aims to segment objects from unseen domains using only a few annotated references.ScienceVision: Can AI Observe and Reason Like a Scientist?
Scientific discovery builds on accurate observations interpreted through domain knowledge and reasoning.IMPACT: Image-Conditioned Motion with Physics-Aware Collision and Trajectory Guidance for Video Generation
Visually realistic video generation does not guarantee physically consistent motion.Vocabulary Aligned Explanations for Computer Vision Models
Optimizing vision models for accuracy does not force the model to learn and utilize human-understandable and domain-specific concepts and rules.SpecUltra: A Unified Foundation Model for Heterogeneous Spectral Images
Spectral imagery, including hyperspectral image (HSI) and multispectral image (MSI), exhibits substantial heterogeneity in band numbers, wavelengths, spectral resolutions, hindering unified modeling…RadPose: ISAC-based RF 3D Human Pose Estimation
Human pose estimation under adverse lighting and occlusion conditions remains challenging for camera- and LiDAR-based systems.FOCUS: Closed-Loop Attention Feedback for Efficient Vision-Language Understanding
Processing every video frame through Vision-Language Models (VLMs) adds significant inference cost and limits their ability to comprehend real-time video.ContactCut: A Partition-Aware Contact Selection Framework for False-Merge Correction in Connectomics
Localized false-merge correction in connectomics requires converting an identified error into an executable native 3D partition.Can Large Language Model Agents Learn by Watching Tutorial Videos?
Humans continuously acquire knowledge from carefully crafted materials such as books and tutorial videos, carrying that understanding into future tasks.DIMWIT: Directly Invoking Models Without Intensive Tuning
Resource managers typically encode what to do in a task-specific policy---a heuristic, an optimization procedure, or a model trained for the task---that must be developed before use and may need…Resolve, Clear, or Defer: Training-Free Active Prototype Triage for Ecological Detection Pipelines
Ecological monitoring increasingly relies on camera traps and aerial surveys that generate large image collections.See, Think, Use: Diagnosing Perception and Reasoning Failures in VLMs
We present See, Think, Use, a protocol that traces each answer of a vision-language model to perception, reasoning or the use of perception.OpenULF: A Modular Toolkit Enables Data-Driven Ultra-Low-Field MRI with both Classical and Quantum Sensors
Ultra-low-field (ULF) Magnetic Resonance Imaging (MRI) offers a portable, low-cost alternative to conventional scanners by operating at field strengths below 10 mT.Label-Free Localization and Test-Time Suppression of CLIP's Typographic Circuits
CLIP-based Vision-Language Models have become cornerstones of modern multimodal systems.VLMs Read Aloud: The Gap Between Recognizing and Using Visual Text
Visual-text compression renders long contexts as images and is engineered around how much of the text a vision-language model (VLM) can recover.AR-RRG: Anatomy-Guided Retrieval-Driven Radiology Report Generation
Radiology report generation (RRG) streamlines clinical workflows and alleviates the burden of radiologists' documentation.AbacusGS: Gaussian Splatting without Per-Splat Sorting
3D Gaussian Splatting sorts every splat by depth in every frame.CUFormer: Modality-Aware CT-Ultrasound Point Cloud Registration for Orthopedic Navigation
Registering intraoperative Ultrasound (US) bone-surface point clouds to preoperative Computed Tomography (CT) models can support radiation-free orthopedic navigation.Task-driven sparse-view planar X-ray computed tomography for axial metrology
Computational imaging can reduce the acquisition burden when the system is designed around task-relevant information rather than complete image recovery.