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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 89
From Augmentation to Synthetic Evidence: Evaluating Generated Chest Radiographs at Dataset Intake
A generated chest radiograph can be useful as declared augmentation, but the same image becomes unsupported evidence when submitted as the record of a real examination.SICAF: Time-Varying Focus Bottleneck for Self-Supervised Event-Based Optical Flow with Spiking Neural Network
Event-based optical flow estimation achieves high temporal resolution and dynamic range by exploiting asynchronous events, while self-supervised learning provides an effective solution to the…RiO-DETRv2: Geometry-Aware Uncertainty Modeling Meets Real-Time Oriented Object Detection Transformer
RiO-DETR is the first real-time end-to-end transformer for oriented object detection, yet further localization gains require a more expressive box representation.Carving Radiology Reports at Their Evidential Joints: Anatomical Region Sets as Generation Units
Organizing radiology reports into independently generated units offers a way to generate fine-grained clinical content and bind it to visual evidence.How Representational Priors Shape Generalization in World Action Models
World action models (WAMs) are shown to substantially diverge under generalization performance based on their generative backbones.LocalAgent: Collaborative Agentic Verification for Fine-Grained Instance-Level Consistency
Multimodal large language models (MLLMs) have made rapid progress in general visual understanding, yet they still struggle with fine-grained instance-level consistency verification, where the goal…Multi-Scale Latent Temporal Compression Attention and Video-Text Cross Attention Fusion for Video Action Detection
In video action detection, modeling the temporal dependencies in continuous video streams is crucial.ROCOCO: Robust Outline Completion of Occluded Curvilinear Objects
We propose a learning-based generative model for completing curvilinear features under occlusion by environmental obstacles.A Unified Evaluation Framework of Physical Adversarial Robustness in the Edge VLM Era
Recent advancements in Vision-Language Models (VLMs) enable end-to-end visual grounding via language prompts and generative decoding, demonstrating largely improved zero-shot and open-vocabulary…NeuralSRender: G-Buffer Guided Video Diffusion for Sim-to-Real Rendering
The scarcity of high-quality annotated visual data remains a critical bottleneck for autonomous-driving perception.DetM-Tracker: Deterministic and Memory-Efficient VIS for Autonomous Industrial Inspection
Autonomous industrial inspection requires strictly deterministic real-time inference under tight memory and computational constraints.Cache Locally, Recompute Selectively for Streaming Video Understanding
Streaming video understanding (SVU) requires video-LLMs to process incoming video continuously while answering user queries with low latency.DisasterRoute: Evidence-Guided Dual-System Routing for Visual Disaster Question Answering
Visual question answering from low-altitude UAV imagery must deliver timely and accurate judgments to support disaster response under limited edge computing resources.Think-Capture: Active 3D Geometry Acquisition for Spatial Reasoning in Vision-Language Models
Vision-Language Models (VLMs) excel at 2D recognition but often fail to maintain consistent 3D relations across sparse viewpoints, leading to spatial hallucinations under occlusion and perspective…Encoded but Unused: Bounding the Sources of VLM Errors
In this paper, we investigate why vision-language models (VLMs) produce errors by decomposing them into two sources: visual-representation failures, in which the visual evidence required for the…Failure Modes of Vision-Language Models for Human Activity Understanding in Thermal HRI
Thermal cameras enable robots to perceive human activities in darkness while revealing less personally identifiable appearance information and fewer details of the surrounding environment than RGB…DepState-JEPA: Learning Depth-Grounded State Representation for Visual Perception and Manipulation
Predictive representations for robot manipulation should connect scene geometry with the state changes induced by actions.ER-Chord: Spatially Consistent One-Step Image Editing via Equal-Energy Reliability Redistribution
One-step generative models enable fast text-guided image editing, yet they often introduce unintended changes to regions that should remain unchanged.CRAB: Cuboid-based Representation for As-built BIM from Point Clouds
As-built BIM reconstruction from point clouds demands semantic, volumetric, parametric, and editable building components, beyond 2D layouts or planar abstractions.Clinical radar heart sounds with echocardiographic phenotypes of ventricular dysfunction and valvular disease
Radar heart sounds capture cardiac mechanical activity without contact, while echocardiography characterizes ventricular and valvular function.