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 49
A Unified Benchmark for Aerial-Enhanced Autonomous Driving: The KITScenes Aerial Dataset
Aerial imagery provides complementary spatial context for autonomous driving by exposing road structure beyond the immediate perception range of onboard sensors.InfantNet: A Large Scale Dataset for Infant Body Pose and Shape Estimation
Infant pose and shape estimation is essential for applications in childcare, developmental monitoring, and medical diagnosis.Accurate MRI-free PET Quantification and Reliability Assessment via CT-to-MRI Synthesis and Conformal Prediction
Standardized uptake value ratio (SUVR) quantification of amyloid PET commonly relies on a subject-specific T1-weighted MRI, yet a usable MRI is not always available.AVPS-360: A Spatial Audio-Visual Benchmark for Instance Segmentation and Tracking of Sound-Producing Persons
Audio-visual instance segmentation (AVIS) segments and tracks individual sound-producing objects in videos.MetaRefine: Score Refinement with Multi-Level Features for Image Assessment
An image's original dimensions, aspect ratio, and composition provide important cues that can affect its technical and aesthetic quality.LucidLyra: Feed-Forward Generative 3D Scene Reconstruction and Joint Understanding via Multi-Task Distillation
We present LucidLyra, a framework that makes generatively reconstructed 3D scenes directly queryable for semantics and instances in a feed-forward manner from video latents.CrossWeave: Cross-Modal Scene and Instance Retrieval from Sparse 2D-3D Alignment
Cross-modal scene and instance retrieval aims to retrieve a corresponding 3D environment or object given query 2D images, serving as a foundational mechanism for spatial reasoning in robotics and…PhysCount: Do MLLMs Count Visual Appearances or Physical Entities?
Images reveal appearances, but counting often asks about physical objects.VeriCUA: Verification as Agentic Exploration for Computer-Using Agents
Building and scaling computer-using agents (CUAs) across desktop, mobile, and web environments requires reliable task-completion verification for data curation, evaluation, and reinforcement learning.RADIOlogy: A Single-Pass Approach to Training-Free Zero-Shot Anomaly Detection
Current zero-shot anomaly detection methods often rely on complex prompt-learning techniques or computationally expensive sliding-window strategies to achieve fine-grained visual alignment to detect…Beyond Ground Truth: A Heuristic Unsupervised Quality Assurance Engine for Diagnosing Calibrational Blindness in Dental Segmentation
In real-world clinical settings, dental X-ray segmentation using deep learning methods suffers from reliability issues.HairDeck: Animation-Ready Stylized Hair Cards from a Single Image
The hair of stylized characters in games and avatars is built from hair cards: artist-placed ribbons whose geometry is the visible hair, animated by spring bones.Fight World Model: Customizable Combat through Visual Interaction Proxies
A playable, programmable game world must maintain persistent state, enforce executable rules, and support extensible gameplay mechanics.L3G-World: Real-Time Infinite World Generation with Latent 3D Gaussian Memory
Interactive world models generate visual content conditioned on user actions, yet maintaining spatial consistency over long-horizon exploration in real time remains challenging.Difficulty Calibration Across Time for Membership Inference in Diffusion Models
Modern diffusion models are trained on massive datasets that often include copyrighted or private images.SymAnt: Grounding Long-Horizon Action Anticipation with Adaptable Symbolic Priors
As robots and intelligent systems increasingly interact with humans, they must anticipate long sequences of future actions from only brief observations.Probing Spatial State Representations in Visual Foundation Models
An observer sees only part of the surrounding world, yet must keep track of what lies beyond the current view.SonoWorld4D: From One Video to a 4D Audio-Visual Scene via Diffusion Synchronization
Recent progress in visual scene generation has extended beyond static 3D scenes toward the more challenging problem of generating dynamic 4D scenes from minimal input.Luggage re-identification: A study of strategies towards a real-world application
Luggage re-identification (ReID) is a critical task in video surveillance for forensics, security or border management (suspicious or abandoned luggage recognition), as well as luggage management…Read, Allocate, Route: Role-Coupled Tokenization for Pixel-Space Generative Transformers
Pixel-space generative Transformers typically use one token per image patch, so capturing finer detail requires more tokens and makes global attention increasingly expensive.