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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 169
Beyond the Snowflakes: Disentangling Weather Effects from Confounding Meta-Factors in LiDAR Object Detection
Light Detection and Ranging (LiDAR) is critical for autonomous perception, yet its performance is known to degrade in adverse weather.Where to Look Matters: Rethinking Sub-Volume Sampling in 3D Medical Self-supervised Learning
Self-supervised learning on 3D medical images commonly relies on random sub-volume sampling during pretraining.Can machines reason non-verbally?
Modern machines can solve equations, follow logic and reason through language, yet they still struggle with problems that require visual non-verbal reasoning.Chronos Policy: Learning Robot Policies on Physical Time
Robot policies often convert sensing and control into fixed-rate observation-action sequences, leaving physical time implicit in sequence position.Hide and Seek: HIDE Concepts to SEEK explanations for black box models
Interpreting machine learning model predictions is a central challenge, particularly for black-box vision models.Images Talk Back: Guiding MMDiTs by Suppressing Image-to-Text Feedback
Multimodal diffusion transformers (MMDiTs) allow the evolving image to update internal text representations through joint attention.InstantFusion: A Shared Latent Interface for Heterogeneous Image Generators
Diffusion/flow models have emerged as the de facto paradigms for image generation, giving rise to a diverse family of modern generators with increasingly heterogeneous architectures and…Splat2Act: From Captured Scenes to Personalized VLA Manipulation
A user who brings a generalist manipulation policy into their home or office wants it to pick up their objects from their shelves, counters, and tables.Towards Physically Grounded Articulated 3D Assets: A Multi-Agent Pipeline and Benchmark
In this paper, we study physically grounded articulated 3D asset generation---moving the goal from reproducing how objects look to capturing how they move and function.Exploring the Latent Structure of AMD Severity Using Retinal Foundation Models
Retinal foundation models have demonstrated strong performance across a wide range of ophthalmic tasks, yet relatively little is known about how disease-related information is represented within…Frozen Site-Probe Accuracy Is Not a Standalone Harmonization Score: An Audit of Evaluation Practice for Multi-Site MRI
Image-level MRI harmonization is often evaluated with a frozen site probe, a site classifier trained on raw scans and applied unchanged to harmonized ones: a drop in its accuracy is read as removal…C$^2$LUE: Clinically Aligned Patient-Level Ultrasound Diagnosis via Evidence-Aware Multi-Instance Learning
Patient-level ultrasound diagnosis demands not only high predictive accuracy but also clinically aligned mitigation of asymmetric diagnostic risks.Beyond Discrimination: Evaluating Probability Calibration in Radiomics-Image Fusion for Renal Cell Carcinoma Classification
Reliable probability estimates are important for the clinical interpretation of machine-learning classifiers, yet radiomics--image fusion models for renal cell carcinoma (RCC) are commonly evaluated…Beyond Gate Weights: Decision-Level Interpretation of Radiomics-Image Feature Fusion for RCC Classification
Gate coefficients describe how a fusion layer weights intermediate features, but they do not necessarily reflect the magnitude of branch contributions at the classifier output.TrajCFG: Token-Wise Classifier-Free Guidance via Denoising Trajectory Feedback
Classifier-free guidance (CFG) typically applies a shared scale to all latent tokens, although their velocity predictions evolve differently during sampling.Axiom-0: Hierarchical Self-Refinement for Vision-Language-Action Policies
Reliable manipulation requires policies that generalize across tasks, layouts, and object interactions.OpenMobile-2: Building Versatile Mobile Agents with Scalable Environments and App-Native Tools
We introduce OpenMobile-2, a near-frontier mobile agent with fully open training environments and recipes.Video-Arena: A Scalable Agentic Video Benchmark for Spatiotemporal Capability
Understanding and tracking a dynamic world are fundamental to visual intelligence.Disentangling Task-Relevant Latent Dynamics for Reward Modeling
Reward design remains a major bottleneck for reinforcement learning in robotic manipulation.Semantic Edge-Cloud Communication for Real-Time Urban Traffic Digital Twins
Urban traffic systems are becoming increasingly complex, demanding real-time traffic perception, proactive collision prediction, and intelligent management to improve safety and reduce congestion.