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 168
GLIMPSE: Global-Local Indexing with Multi-Precision Spectral Encoding for Explorable Video World Models
A camera-controlled video world model must keep a scene consistent when the camera returns to it.State-Isolated Vision Mamba via Update-Tendency Routing for Underwater Image Enhancement
Vision Mamba has recently emerged as an efficient alternative to convolutional and Transformer-based architectures by modeling long-range spatial dependencies through recurrent state evolution.LAPT-Scale: Scaling Embodied Policies with Latent Action Pre-Training on Human Videos
Scaling generalist robotic policies is limited by the high cost of collecting embodied interaction data.KVeil: First-Place Solution to ECCV 2026 LifeGenIP Challenge on Unlearnable Videos
The rapid development of personalized video generation has raised serious concerns over identity privacy, as a few facial videos of a person now suffice to reproduce their identity in synthetic…Gaussian Splatting with Reflections Guided by What is Seen
While novel view synthesis methods like Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have shown impressive performance on common scenes, they often struggle with capturing…Neurons++: A Unified Visual-Stream Framework for Image and Video Reconstruction from fMRI with Neural-to-Visual Interpretability
Decoding visual experience from fMRI is important for understanding human perception and developing brain-computer interfaces.Shortcut Learning in Geospatial Foundation Model Embeddings for Cross-Disaster Damage Assessment
Geospatial foundation models can support disaster damage assessment, but high accuracy on familiar disasters may hide shortcut learning: prediction from event or scene characteristics rather than…READ: Reading the Selective Scan for Faithful Video Attribution
Selective state-space models are an efficient approach to long-sequence video modeling.Detection of extremely rare dead cells in fluorescence microscopy images
Dead cell detection in fluorescence microscopy is essential for phenotypic screening and drug efficacy assessment.SimVTA: Simulation-Grounded Video-Trajectory Alignment for Driving World Action Models
Driving world action models (WAMs) learn from paired trajectories and future observations.UkrMeme: Multimodal Explainable Persuasion Detection in Ukrainian Memes
Memes play a central role in modern online communication, especially in contexts of political conflict where visual and textual cues combine to convey persuasive messages.OccludeBench: Can VLMs Find What's Missing?
How well can vision-language models (VLMs) reason about what is missing from an image?Spanning Diffusion and Flow-based Posterior Sampling via Exact Gaussian Conditioning
Flow-matching and diffusion models are increasingly used as priors for linear inverse problems, however, most methods are bespoke to one class of trajectory prior.Dream to Remember: Continual Steering of Generalist Robot Policies with World Models
Generalist robot policies are trained with imitation learning and are bounded by the quality and coverage of their demonstrations.SpatialASM: Internalizing Active Mentalization for Spatial Reasoning
When solving complex spatial reasoning tasks, ordinary humans naturally revisit the scenes from task-relevant viewpoints and mentally reconstruct the spatial layouts from those viewpoints.Event-based Action Recognition by Pre-Training on Multi-Frame Representations
Action recognition is a crucial task in domains like robotics, patient monitoring, or surveillance.Revisiting the Task of Building Damage Assessment by Satellite Imaging
Natural disasters such as earthquakes, tropical storms, and floods cause extensive damage to buildings, and rapid, reliable damage maps are essential to guide emergency response.LapMerge: Differentiable Exact-Budget Token Merging in Linear Time
Modern vision and language models process ever longer token sequences, and reducing them is the main lever on downstream cost.Make It Flow: Animating Water in 3D Gaussian Splatting Scenes
Explicit 3D scene representations such as 3D Gaussian Splatting (3DGS) have recently enabled high-quality, real-time novel view synthesis.Tracking the Invisible: Self-Supervised Wheel Track Detection with Thermal-RGB Fusion
Accurate detection of drivable area is essential for autonomous driving and advanced driver assistance systems.