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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 107
XGLASS: X-Ray, Gaze and Language Assisted Slice Sequencing for CT Volumes
Vision-language models (VLMs) achieve remarkable performance on 2D medical images, such as X-rays or pathology images, while 3D VLMs that directly process CT/MRI volumes lag behind due to limited 3D…Dynamics-Aware Sparse Attention for Efficient Autoregressive Video Diffusion
Autoregressive Diffusion Transformers have emerged as a powerful paradigm for long video generation.TIM: Temporal Decoupling with Iterative Mutual-Refinement Model for Longitudinal Radiology Report Generation
Automatic radiology report generation (RRG) aims to translate medical images into diagnostic text, reducing radiologists' workload and standardizing clinical documentation.From Cause to Effect: Generating Intermediate Event Chains in Videos
Video-Language Models (VLMs) excel at visual recognition but struggle with causal reasoning.CARNet: End-to-End Coupled Association-Recognition Network for Fine-Grained Multi-Drone Collaborative Detection
Multi-drone collaborative detection aims to enhance target recognition by leveraging complementary observations from overlapping aerial viewpoints.MCDA: Multi-View Graph Contrastive Learning with Dynamic Topology Augmentation for Functional MRI Analysis
Resting-state fMRI (rs-fMRI) is a vital non-invasive tool for diagnosing brain disorders and uncovering pathological mechanisms.TriScore: Post-Hoc Out-of-Distribution Detection with Energy, Boundary Probes, and Transform Consistency
Post-hoc out-of-distribution detection usually relies on a single signal extracted from a frozen classifier, such as confidence, energy, features, or gradients.HGASurv: Hierarchical Granularity-Aware Multimodal Integration for Survival Prediction
Multimodal survival prediction jointly analyzes histopathological whole-slide images (WSIs), genomic profiles, and clinical variables to stratify patients by risk.From Legacy to Contemporary: Scalable Color Modernization for Long Videos
Bringing legacy video back to contemporary screens does not necessarily make it look contemporary.One Fact, Many Places: Redundant Evidence in Long Visual Documents Breaks Single-Gold Evaluation of Retrieval, Citation and Attribution
Document understanding is increasingly judged on where an answer comes from, scored against annotated gold locations as if each fact lived in one place.LaMER: Language-Conditioned Multi-Expert Routing for Weakly Supervised Referring Expression Comprehension
Referring Expression Comprehension (REC) localizes the image region described by a natural language expression, underpinning applications such as autonomous navigation, human-robot interaction, and…Policy-Adaptive Credit Assignment for Spatial Reasoning with Verifiable Rewards
Image-based spatial reasoning requires perception, decomposition, and inference, but the stage that limits accuracy can change during training.Long-form Video-to-Text Summarization using Recursive Language Models
While VideoLLMs have made significant progress in understanding short video benchmarks, they often struggle to summarize long-form ones.When Guidance Becomes a Guard: Early Interception of Unsafe Inputs in Text-to-Image Generation
Text-to-image diffusion models can produce unsafe content, while output filtering intervenes only after synthesis.Progressive multi-scale tumor-state memory for incomplete multimodal brain tumor segmentation
Brain tumor segmentation uses complementary magnetic resonance imaging (MRI) sequences, but some sequences may be unavailable in practice.YUTELA: A Scalable Edge Cloud AIoT System for Multi-Site Video Anomaly Detection with Scene Specific Adaptation
Building upon our previous Ancilia framework, this work presents \emph{YUTELA}, an edge--server--cloud AIoT system for long-term, multi-site video anomaly detection.3D Diffusion Models for Medical Imaging
Generative deep learning methods such as Variational Autoencoders, Generative Adversarial Networks or Diffusion Models have achieved remarkable results in image synthesis.PDNet: Exploring Pruning and Distillation for Real-Time Worker Activity Recognition in Industrial Assembly
In this work, we address real-time fine-grained human activity recognition (HAR) in industrial assembly and introduce PDNet, a new framework that jointly exploits structured pruning and knowledge…Interpretable Face Contrast Modeling for Smartphone Portrait Rendering
The quality of smartphone portrait photography has become increasingly important to both manufacturers and users.Small Average Error, Wide Individual Error: General-Purpose LLMs Estimating Energy Intake from Meal Photos in a Feeding Trial
Photo-based estimation of food energy could ease dietary assessment, and general-purpose multimodal large language models (LLMs) make such estimates easy to obtain.