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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: 4,996 arXiv preprints and 4 OpenAlex records.
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Newest papers, page 201
Harnessing Multimodal Large Language Models for Training-Free Human-Object Interaction Detection
Human-object interaction (HOI) detection aims to localize human-object pairs and recognize their interactions.SpatialChain: A Benchmark for Auditing Spatial Reasoning Faithfulness in VLMs
Thinking-enabled vision-language models (VLMs) report ever-higher accuracy on spatial benchmarks, yet final-answer scores cannot reveal whether a correct prediction reflects faithful spatial…Toward Reliable Infant Pose Estimation: A Training-Dynamics Approach to Noisy Annotation Detection
Spontaneous movement analysis in preterm infants relies increasingly on markerless pose estimation (PE) to derive clinically relevant motion biomarkers directly from video recordings.MaRO-GS: Mask-Robust Object-Centric Gaussian Splatting from Inconsistent Multi-view Masks
We address the challenge of accurate 3D object reconstruction from multi-view images in Gaussian Splatting.Topology-Informed Prompt-Conditioned Universal Segmentation of Uterine Structures from Ultrasound and MRI
Multi-structure segmentation of the uterus is important for computer-assisted screening, diagnosis, and treatment planning of uterine diseases, where ultrasound and MRI provide complementary…NeuroCBIR: A Fast and Accurate Image Retrieval System for Whole-Brain and Region-Specific MRI
Content-based image retrieval (CBIR) in neuroimaging enables the identification of structurally similar brain scans, supporting diagnosis, prognosis, and treatment planning; however, existing…Harmful Content Generation in Text-to-Image Models: Capabilities and Moderation Limitations
Text-to-image generative models can produce highly realistic imagery but also raise concerns about harmful misuse.Improving Proactive AI Assistance with Hierarchical Procedural Understanding
Proactive AI assistants continuously observe a user's activity and decide whether to provide new guidance or remain silent.A General Pipeline for Dense Illuminant Estimation via Physically Based Synthetic Data
Illuminant estimation is a fundamental problem in computational photography, as it enables the correction of color shifts induced by varying lighting conditions.BrainTRACE: Tracing Longitudinal, Multimodal, and Volumetric Evidence in Brain MRI Clinical Reasoning
Brain MRI interpretation is a longitudinal clinical reasoning problem: radiologists compare serial studies, integrate information across MRI sequences, localize findings within volumetric anatomy…FrontVeg V2: A Training-Free Software Framework for Foreground-Aware Zero-Shot Plant Trait Segmentation in High-Resolution Images of Trellised Crops
FrontVeg V2 is an open-source, training-free software framework for foregroundaware zero-shot segmentation of plant traits in high-resolution images of trellised crops.Keepsake: Selective Spatial Memory for Long-Horizon Video Generation
Long-horizon camera-controlled video generation relies on persistent memory to maintain scene consistency.VGGT-Bridge: Beyond Sequential Pose Graphs via Coarse-Stride Skip Edges
Feed-forward visual geometry transformers such as VGGT reconstruct dense 3D structure from images in a single forward pass, simplifying multi-view 3D reconstruction.Analysis of SWIR Imaging Detection Performance Under Adverse Environmental Conditions for Autonomous Driving Systems
Short-wave infrared (SWIR) imaging has emerged as a promising modality for autonomous driving, yet its practical benefits over RGB remain poorly characterized across diverse conditions.SimForcing: Distilling Simulation Motion Priors into Real-Domain Robot World Models
Action-conditioned robot world models must respond precisely to robot trajectories while preserving realistic visual dynamics, yet learning both from heterogeneous robot videos remains challenging.Multitask Conditional Generative Adversarial Network Enables Automatic Whole Knee Cartilage and Menisci Segmentation and Reliable $T_{1ρ}$ and $T_2$ Quantification Without High-Resolution Morphological Images
Early osteoarthritis detection through quantitative MRI (qMRI) requires accurate cartilage and meniscus segmentation, traditionally necessitating time-consuming, costly 3D high-resolution Double…Lens3D: Target-Conditioned Visual Foveation for Fine-Grained 3D Understanding
Existing 3D large language models often overlook fine-grained attributes and less visually salient objects and parts, even when relevant evidence is present in scene videos.Video Encoders Built on Image Representations
The design of a video encoder determines when frames begin to interact and which frame-specific visual evidence remains accessible to the language model.RealtimeWAM: One-Step Asynchronous World Action Models
World Action Models (WAMs) incorporate visual representations from video generation backbones to guide action prediction.AffordCraft: Scalable Construction of Task-Ready Simulation Assets from Single Images
Robot learning in simulation depends on the objects the simulator offers.