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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 220
Towards Subject Consistency over Dynamic Subject Sets in Video Generation
We argue that as video generation extends to longer durations, subject consistency should be evaluated over \textit{dynamic subject sets}.HierGF: Hierarchical Gaussian Fields via Geometry-perception Message Passing for Sparse-view 3D Reconstruction
Sparse view 3D reconstruction is an important and common scenario in multimedia applications, such as augmented reality/virtual reality (AR/VR) content creation, cultural heritage digitization, and…Overcoming Kernel Redundancy for Scaling Logic Gate Networks
Differentiable logic gate networks, which operate using only logic gates, have recently attracted attention as an efficient alternative to conventional neural networks.Ego2Act: Evaluating Goal-Directed Manipulation in Egocentric Video Generation
Video generation models are increasingly being explored as world simulators for embodied planning and learning.Dataset Identity, Not Novelty: The Source of an Inflated OOD Detection Gain
A post-hoc out-of-distribution (OOD) detector reads the activations of a trained classifier and returns a score.MVDG: Efficient Multi-view 3D Disambiguation on Unconstrained Real-World Images
Illusory matches between distinct yet visually similar 3D surfaces--doppelgangers--remain a fundamental obstacle for large-scale, in-the-wild 3D reconstruction and visual localization.Affine-Aligned Atlas for Canonical Gaussian Construction in Video Representation
Gaussian splatting has recently emerged as an efficient representation for images and videos due to its explicit structure and fast rendering capability.Open Vocabulary Word Recognition From Transcribed Bangla Texts
An optical character recognition (OCR) can scan a paper and extract text using technology, making people's jobs easier.The RSNA Intracranial Aneurysm (RSNA-ICA) Dataset
Intracranial aneurysm rupture is associated with substantial morbidity and mortality, yet aneurysm detection remains challenging, particularly for small lesions and on routine non-angiographic…OptimusMesh: Compact Autoregressive Mesh Generation from Point Clouds via Sparse Latent Pivots
Generating compact and geometrically faithful 3D meshes directly from point clouds remains a fundamental challenge.PhysicsLENS: Diagnosing Physical Property Blindness in Video Generation Models
Reliable video world models could provide scalable predictive environments for robot learning, planning, and evaluation.CineMR: Tool-Integrated Vision-Language Reasoning for Quantitative Cardiac MRI Assessment
Cardiovascular magnetic resonance (CMR), including cine imaging, is a reference standard for the noninvasive assessment of cardiac morphology and ventricular function.Skeleton-and-Strategy Prompting: Training-Free Negation Understanding for Vision-Language Models
Despite the strong performance of Vision-Language Models (VLMs) on a wide range of visual question answering (VQA) tasks, these models consistently struggle to understand negation and produce…Color Independent Word Segmentation From Transcribed Bangla Passages
An optical character recognition(OCR) system can scan paper and extract text, making people's jobs easier.FlashBack: Knowing When to Remember in Streaming Vision-Language Models
Streaming vision-language models must process continuously growing video streams under a bounded compute budget, creating a persistent tension between real-time perception and long-term memory.iSEE: Object Permanence Through Self-Supervision
Object permanence, keeping track of an object's identity and position while it is occluded, is central to video representations that track, predict and plan.Semantic RGB--Depth Based Surgical Skill Assessment in Microscopic Stereo Videos
Objective assessment of microsurgical technical skill is essential for competency-based training and quality assurance, yet existing video-based approaches predominantly rely on RGB images and…Resolving Mixed Single-Photon LiDAR Returns for Foreground-View and Hidden Scene Reconstruction
Partially transmissive screens and protective covers are common in robotic inspection, but they create mixed LiDAR returns from both the foreground material and the scene behind it.EgoFound3R: End-to-End Egocentric Hand Reconstruction in World Space with Point-Wise Interaction Attributes
Egocentric video has become a primary source of supervision for embodied models, and its value rests on recovering hand motion in world coordinates, which camera motion and hand occlusion make…AutoGUIWorld: Image Generators as Visual World Models for GUI Agent
GUI agents require high-quality interaction trajectories to learn how software environments respond to actions, maintain state, and support multi-step workflows.