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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 52
ETA-Motion: Efficient Topology-Agnostic Motion Diffusion via Sparse Joint Learning
Topology-agnostic motion generation aims to synthesize motions for diverse characters with arbitrary skeletons.TreemapMix: Dirichlet-Controlled Multi-Image Augmentation for Probability and Ordinal Supervision
Data augmentation improves visual recognition by exposing models to synthetic training examples that encourage generalization beyond the observed data.BudSplat: Feed-forward 3D Gaussian Splatting under a Rendering Budget
Feed-forward 3D Gaussian Splatting has recently emerged as a promising alternative to per-scene optimization, enabling fast novel view synthesis by predicting Gaussian primitives directly from input…ConvRoute-ViT: Convolutional Token Routing for Efficient Vision Transformers
Vision Transformers (ViTs) achieve strong image recognition performance, but their self-attention increases quadratically with the number of input tokens and makes them computationally expensive.PulmoWorld: An Asynchronous Multimodal Medical World Model for Longitudinal Pneumonia Dynamics
Pneumonia changes across respiration, inflammation, and organ function, while the measurements that describe it arrive at different times and are often incomplete.Hidden Commitment: When Language Models Silently Pick a Side and How Steering Can Surface It
Language-model answers are often treated as a visible record of the internal decision that produced them.Don't Ask the LLM: Visual Token Pruning with Spectral Structure and Semantic Relevance
Large vision-language models (LVLMs) represent images and videos as long visual-token sequences, substantially increasing inference costs.Does 3D Pose Improve Action Valuation in Football? An Empirical Study of Pose Representations and Learning Objectives
Football action valuation estimates players' contributions to future scoring.Extremely Sparse-View Computed Tomography from 2D Projections via Pose-Aware Diffusion Priors
Extremely sparse-view computed tomography (xSV-CT) is critical when scanning time, motion, or radiation tolerance limits each scan to only a few projections.SSQA: Sibling-Selective Quadtree Attention for Hierarchical Modeling in Perception Tasks
Perception tasks for navigation in robotics, including aerial platforms such as drones and autonomous driving systems, are inherently structured.Knowledge-structured and evidence-aware semantic self-distillation for glomerular pathology foundation model
Visual foundation models learn rich pathological morphology but lack explicit concept-level supervision.Aligning Misaligned Benchmarks for Single-View Novel View Synthesis
While single-view novel view synthesis methods have been dramatically enhanced recently, how to quantify their performance has yet to be standardized.WeVisCut: The Whole Editing Room in One Agent From Narration to Long-Form Video
Producing long-form videos from narration requires interdependent decisions that remain coherent across shots.Volley3D: Unified 3D Full-Sequence Reconstruction from Monocular Broadcasts
3D reconstruction from single-view sports broadcast is a pivotal capability for automated analytics and immersive AR/VR replays, yet notoriously ill-posed due to difficult-to-calibrate moving…SparseTokenGS: Gaussian-based Sparse-View CBCT Reconstruction via Reusable Token Pool
Sparse-view cone-beam computed tomography is widely used for fast, low-dose volumetric imaging and lesion localization in dentistry and image-guided interventions, but it introduces severe artifacts.Visually Irrelevant Hallucinations in Medical Vision-Language Models
Medical vision-language models (VLMs) show strong performance in radiology report generation (RRG) and medical visual question answering (Med-VQA), producing free-form clinical descriptions and…Structure-retained low-rank adapters for weather synthesis
Real-world deployment of computer vision models, particularly in outdoor scenarios, is often limited by environmental interferences, such as adverse weather.IntReal: A Real-World Dataset and Benchmark for Multimodal Interleaved Generation
Humans routinely consume multimodal content, where textual and visual information is naturally interleaved.Automatic Iconographic Annotation of Medieval Illuminations: Comparing Generative Vision-Language Models and Supervised Discriminative Classifiers
The large-scale digitisation of medieval manuscripts creates a growing need for automated iconographic indexing.Geometry-Aware Trajectory State Modeling for Few-Shot Action Recognition
Few-shot action recognition (FSAR) requires representations that expose discriminative motion dynamics from only a few labeled videos.