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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 13
SD-LoRA: Training-Time Structural Distillation into LoRA for Few-Shot Vision-Language Adaptation
Few-shot adaptation of vision-language models must balance two competing goals: learning fine-grained visual distinctions from very limited supervision and preserving the efficiency that makes…Wide View Synthesis from Overlapping Perspective Cameras in Autonomous Driving
Multi-perspective-camera systems are widely adopted since they provide broad visual coverage for autonomous driving, motivating the synthesis of a unified wide view from spatially separated…A Proxy-Based Method for Measuring Racial Disparities in~Text-to-Image~Generators
We present an automated method for auditing text-to-image generators for representational bias against ground-truth demographic benchmarks.Perceptual Distortion for Overfitted Video Coding: Sliced Matching in Space, Error Alignment in Time
Recent works in neural video coding have increasingly been trading off perceptual quality against reconstruction fidelity at a fixed bitrate.VINO: Revisiting 3D Representation Learning with Volume Transformers
Self-supervised learning has given rise to vision foundation models that learn general-purpose image representations transferable across downstream tasks, yet representation learning for 3D scenes…MammoSeek: A Mammography Agent with selective zooming for grounded reports
Radiologists read a screening mammogram by first forming a global impression of the four views and then selectively magnifying suspicious regions before assigning a BI-RADS assessment.CHROMA-MILL: Joint Low-Light Enhancement and White Balance under Colored Illumination
Capturing an image in a low-light environment produces a weak, noisy sensor signal.Is This 3D Asset Usable? Beyond the Beauty Render for Asset Curation
Large 3D repositories make it easy to collect assets, but difficult to determine whether they can be reused reliably across scene assembly, editing, rendering, game production, and training-data…Generalizable AI-Generated Image Detection with Embedding-Space Explanations
AI-generated images have reached unprecedented realism, while instruction-driven AI editors re-synthesize images for local changes, leaving no splice boundary to localize.Co-Occurrence Priors Override Visual Spatial Evidence: Understanding False Alarms in Vision-Language Models for Construction Struck-By Hazard Detection
Vision-language models (VLMs) increasingly support construction hazard monitoring, yet their frequent false alarms remain poorly understood.An automated photometric pipeline for measuring the corotation radius of spiral galaxies
The corotation radius R_CR of a spiral galaxy marks the radius where the angular speed of the spiral pattern matches the orbital speed of the disk material.COSMIO: A Benchmark for Cross-Survey Modality Imputation
Large-scale astronomical surveys define a heterogeneous, partially observed multi-survey learning setting: each object is observed by only a subset of surveys, while survey observations differ in…Improving PI-RADS Prediction and Prostate Cancer Detection from Multiparametric MRI with Anatomical Guidance
Accurate prediction of Prostate Imaging Reporting and Data System (PI-RADS) scores from multiparametric MRI (mpMRI) remains challenging, more so than clinically significant prostate cancer (csPCa)…What Remains in Sight? Autoregressive Video Decoding as Representation-Guided Context Rewriting
Long-horizon video generation is increasingly moving toward autoregressive rollout, where each newly generated segment becomes part of the evidence used for future prediction.Say the Same, Act Differently: Diagnosing and Steering Text-Action Divergence in Reasoning VLAs
Reasoning vision-language-action (VLA) models pair physical control with natural-language rationales that supervisors can read to monitor embodied safety.ReconDreamer#: Self-Evolving Closed-Loop Synergy of Reconstruction and Generation for Dynamic Driving Scenes
Dynamic driving scene reconstruction has made remarkable strides in recent years by leveraging generative priors, particularly in the quality of novel trajectory rendering.Statistical Machine Learning for Medicinal Plant Leaves Classification
Medicinal plants are usually identified using practitioners' experience, but reproducible, image based methods can complement this knowledge.SettleSplat: Monocular Gaussian Mapping under In-View Scene Changes
Online 3D Gaussian mapping enables fast and high-fidelity novel view synthesis, with broad applications in augmented reality, robotics, and autonomous systems.Impact of Input Resolution in Mammographic Mass Detection: A Controlled Multi-Architecture Study
Deep-learning-based mass detectors usually downsample mammograms, trading fine image detail for lower computational cost.LiSA: Linear Stochastic Attention for Long-Range Visual Modeling
Self-attention has become the standard for modern sequence modeling, enabling Transformers to model long-range dependencies across a wide range of modalities.