AI & Machine Learning · Computer Science & AI
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 67
VPR-Space: A Benchmark for Visual Place Recognition in Space Analog Domains
Visual Place Recognition (VPR) is an important means for loop closure detection in visual Simultaneous Localization and Mapping (SLAM).CounterFlow: Target-Conditioned Flow Matching for Visual Counterfactuals
In eXplainable AI, counterfactual explanations have gained significant traction by offering users direct, intuitive, and actionable insights into model decisions.Printed and Scanned: Exposing the Fragility of Single-Image Morphing Attack Detectors under Print-Scan Degradation
Face morphing attacks, in which the biometric traits of two or more identities are blended into a single face image, pose a severe threat to identity document issuance and automated border control.OmniShowcase: Omnidirectional Subject-Consistent Video Generation from Multi-View Images
Generating videos of a specific subject from a few reference images remains challenging when the camera reveals surfaces that are not visible in the input.Triage: Skip, Skim, or Refine Attention Tiles in Video Diffusion Transformers
Attention over tens of thousands of visual tokens dominates the inference of video diffusion transformers (DiTs).MatAnyone-E: Sparse Memory Propagation for Efficient High-Resolution Video Matting
High-resolution video matting requires preserving fine details, such as hair strands and soft transparency, while maintaining consistency across frames.A Category-Selective Encryption Framework for Privacy Protection of UAV Images
Imagery captured by unmanned aerial vehicle (UAV) systems increasingly raises privacy concerns, as UAV aerial surveillance routinely captures sensitive objects such as pedestrians and vehicles…VidEdit3D: Flexible 3D Gaussian Editing with Video Diffusion
Recent advancements in text-guided 3D editing, particularly with 3D Gaussian Splatting (3DGS), have shown promise but still lag behind the flexibility of 2D editing tools.Improving Signals, Declining Encoder: A Known-Answer Test of Label-Free Monitoring in Self-Supervised Learning
Self-supervised training is monitored without labels, through the loss and statistics of the learned features.Does VGGT Know What It Does Not Know?
Feed-forward 3D reconstruction models such as VGGT regress cameras and geometry in a single forward pass, but they report no uncertainty for the camera poses they predict: an incorrect relative pose…Multimodal Concert Video Editing: System Design and Exploratory Evaluation
Editing multi-camera concerts requires coordinated decisions about musical relevance, visual quality and cut timing.Pretraining Knows What, Simulation Teaches How: Compositional Generalization in a Sim-Trained Robot Agent
A robot policy needs to understand what a task is asking for in a scene, and how to move the robot to accomplish that task.Back to Basics: A Skill-Centric Approach to Generalist Web Agents
Browser agents do not just need more practice.Seeing Through Distractions: Context-Stable Attribution via the Least Core
Shapley-value-based explanations are widely used for feature attribution in machine learning.MedVTok: A General-Purpose Medical Visual Tokenizer
Multimodal medical AI requires a common visual interface for encoding heterogeneous imaging evidence for patient condition modeling.OSWAM: An Effective World Action Model with One-Step Action Generation
Direct-policy World Action Models (WAM) have demonstrated the benefits of decoupling action generation from explicit future visual prediction for efficient inference in autonomous driving and…FL4N: Feed-forward Latent Model for 4D Novel View Synthesis
4D novel view synthesis (NVS) aims to render dynamic scenes across viewpoints and timestamps, which requires jointly inferring 3D structure and temporal dynamics.Do vision models know that three is three?
Do vision models encode the transition $2{\to}3$ the same way whether it appears in handwritten digits or in hand gestures, and do they "understand" that clean${\to}$dirty is the same transformation…VibeVideoBench: Evaluating Multimodal Agents on Code-Driven Video Generation
Diffusion video models produce striking clips, but they cannot reliably render an exact formula, a correct chart, a rule-consistent game or narration synchronized to on-screen events.OmniBrain-0: A Unified Agentic Model for Embodied Intelligence
General-purpose embodied intelligence requires robots to coordinate diverse skills over long horizons, track task progress, and recover from failures.