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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 184
WAPR: A Foundation Model for Wide-Angle Refinement in Unseen Object Pose Estimation
Real-world applications require 6D pose estimation to be accurate, fast, and scalable to unseen objects.Visual Evidence Under Cross-Examination: Evaluating and Controlling Decision-Level Evidence Use in Vision-Language Models
Vision-language models increasingly reason through crops, regions, and tool-produced observations.Gradient-Based Trajectory Optimisation over Continuous Poses for Sparse-View Cone-Beam CT
Trajectory optimisation for cone-beam computed tomography (CT) determines which information sparse-view scans acquire.STORK: Spatio-Temporal Observation of uterine contRactions via neural networKs
Uterine contractions in fetal MRI are typically identified manually and discarded, limiting insights into contraction dynamics.Identity-Duplication Auditing in National-Scale Neuroimaging Repositories
National-scale magnetic resonance imaging (MRI) repositories increasingly integrate data from different studies and institutions.Quasi-Binarized Autoencoders: An Architecture-Independent Information Bottleneck for Medical Image Anomaly Detection
Unsupervised anomaly detection, which learns only from normal images, is a central task in medical image analysis and remains an open problem.A Multi-Source Ultrasound Benchmark Revealing the Limits of Contemporary Self-Supervised Anomaly Detection Methods
Self-supervised anomaly detection is a promising paradigm for medical ultrasound, as normal images are often easier to obtain than exhaustive annotations of all possible pathologies.Do Better Visual Representations Always Lead to Better End-to-End Autonomous Driving?
Visual foundation models (VFMs) are increasingly integrated into end-to-end autonomous driving for their powerful representations, yet it remains unclear when these representations improve driving…What Makes Synthetic Hard Negatives Work in Vision-Language Pretraining?
Synthetic hard negatives generated in the representation space have proven effective for unimodal self-supervised learning, but transferring this idea to vision-language pretraining is not…Latent Watermarks under Generative Editing: A Benchmark and Analysis of Detection Survival
Ordinary prompt-based editing can cause latent watermark detection to fail without explicitly targeting the watermark.Enhancing Multi-Region Stylization with Interior-Guided Boundary Repair
Region-based neural style transfer enables fine-grained artistic control by allowing independent stylization of semantic image regions.YUBI-STAG: Contact and Semantic-Rich Alignment for VLAs via Automated Video-Language Grounding
Vision-Language-Action (VLA) models acquire broad manipulation capabilities via large-scale pretraining, yet eliciting them through language requires fine-grained alignment between instructions and…DynStream: Online Streaming 4D Gaussian Reconstruction of Dynamic Worlds from Unposed Video
Online reconstruction of dynamic 4D scenes from long, unposed streaming videos requires both continuous processing and photorealistic rendering, which existing methods struggle to achieve…MeshCarve: Artisan Mesh Generation with Flow Matching in Compact Latent Spaces
Prior artisan mesh generation works largely predict face tokens autoregressively, which makes inference slow.Beyond Group Splits: Specimen-Level Cross-Validation and Visual Attribution for Remaining-Shelf-Life Regression in Climacteric Fruit
Estimating remaining shelf life (RSL) from images could provide affordable decision support for perishable produce, but evaluation protocols can substantially affect reported performance when…SoccerNet-FoulRet: Retrieving Semantically Similar Soccer Foul Videos
Refereeing decisions in professional soccer remain inconsistent because referees cannot easily compare a contentious foul against similar past cases.Flow-of-Thought: A Framework for Visual Reasoning
Mental imagery, ``seeing with the mind's eye'' is an essential aspect of human cognition.Diffusion-Generated Image Watermarking: A Two-Axis Taxonomy and Three Protocol-Bounded Case Studies
Watermarking diffusion-generated images requires balancing provenance signals with image quality, robustness, and computational cost.PARC-Loc: Text-to-Point-Cloud Localization with Partial Assignment and Relational Consistency
Text-to-point-cloud localization estimates a position in a city-scale 3D map from descriptions of surrounding objects.Relational Abstractions for Spatial Reasoning with Diffusion Models
Diffusion models excel at image synthesis, but they remain limited in their ability to reliably satisfy structured spatial reasoning constraints.