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 38
Coarse3D: Controllable and Faithful Sparse Structure Generation for Image-to-3D
Coarse-to-fine 3D-native generation relies heavily on the first-stage sparse structure, which determines the global orientation and overall geometry for subsequent refinement.Hawkeye: Reading Illegible Text with Vision Language Models
While modern Vision-Language Models (VLMs) have been remarkably successful in general scene text recognition, they consistently struggle with the long-tail distribution of text that is degraded by…ReVEAL: Eliciting Role-Aware Latent Visual Evidence from MLLMs for Reasoning Video Object Segmentation
Reasoning video object segmentation (ReVOS) requires segmenting the target specified by an implicit query throughout a video.PBSR: Pseudo-Burst Super-Resolution via Zero-Shot Novel View Synthesis
Burst super-resolution (BSR) achieves higher reconstruction fidelity than single-image super-resolution (SISR) by aggregating sub-pixel information from multiple frames.SketchDirector: Complex Scene Sketching via Agentic Layout Reasoning and Detail Refinement
Existing sketch generation methods often rely on image guidance and are largely limited to individual objects or simplified scenes, leaving text-guided complex scene sketching underexplored.ART of PIV: Agentic Real-Time Particle Image Velocimetry for Active Flow Control
Particle image velocimetry (PIV) measures fluid motion from images of tracer particles, but its accuracy depends on choices throughout the estimation pipeline, including image preprocessing, flow…STAR-FER: Adaptive Selective Restoration for Edge-Based Low-Resolution Facial Expression Recognition
Variable interaction distances continuously degrade facial resolution in edge-based affective interaction, making low-resolution facial expression recognition (FER) difficult under limited…GenDSR: Transferring Representations from Video Generation Models for Dynamic Spatial Reasoning
Dynamic spatial reasoning is essential for connecting visual intelligence to thephysical world, yet remains challenging for vision-language models (VLMs), which must preserve scene state while…With foundation-model features, aggregator complexity does not improve cross-hospital discrimination in gastric whole-slide image classification
Whole-slide image classifiers are usually developed within one hospital and often go untested at unseen hospitals.Bayesian PET Reconstruction with Learned Flow Matching Priors via Langevin Sampling
Image reconstruction for positron emission tomography (PET) is a challenging inverse problem due to its inherent ill-posedness and Poisson counting noise, particularly in low-dose acquisitions.PRIN: A Perceptual-Structural Retinex-Inspired Network for Low-Light Image Enhancement
Low-light image enhancement (LLIE) focuses not only on visibility recovery but also on preserving structurally meaningful content and perceptual naturalness.Joint-Health-Aware Reinforcement Learning for Robust Robot Control Under Actuator Degradation
Robots deployed in unstructured environments are susceptible to actuator-authority degradation, which reduces the effective control authority of individual actuators and can cause reinforcement…CalibSwitch: Observation-Driven Camera-LiDAR Extrinsic Recovery and Selective Maintenance for Multimodal Perception
Camera--LiDAR perception on mobile robots and intelligent vehicles depends on reliable sensor geometry throughout deployment.Defining Page-Centric Visual Document Retrieval and Evaluating Existing Benchmarks
In modern information retrieval (IR), documents are increasingly encountered as structured sequences of visually rich, paginated units, rather than as flat text.Task-Performance Routing for Multi-Teacher Distillation in CT Medical Image Segmentation
Pre-trained models offer complementary strengths in CT organ segmentation, but their relative accuracy varies across organs and spatial regions.Queryable Gaussian View Index: Text Retrieval and Selective Camera Localization
We present Queryable Gaussian View Index (QGVI) for querying existing Gaussian scene assets and their associated calibrated reference data.Parse Before You Execute: Efficient Spatial Reasoning with Executable Primitives
Spatial reasoning in Vision-Language Models (VLMs) has increasingly benefited from tool-integrated pipelines that ground computation in explicit geometry.DUGO: Dual-Scale Gaussian Memory for Online Temporal Action Localization in Egocentric Procedural Videos
Online Temporal Action Localization (OnTAL) aims to detect and localize action instances from untrimmed streaming videos in real time.SACQ: Structure-Aware Codebook Quantization for Ultra-Low-Bit Vision-Language-Action Models
Vision-Language-Action (VLA) models enable capable robot behavior, but their large memory footprint limits deployment on resource-constrained robotic platforms.FlexReader: Towards Adaptive Decoding Paths for Efficient Arbitrary-Length Scene Text Recognition
Existing Scene Text Recognition (STR) models are inherently coupled with a specific decoding strategy by their training paradigms, limiting their flexibility in deployment across diverse recognition…