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.
Get the few papers worth your time in Computer Vision every morning.
Follow Computer Vision and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 108
Holi-World: Building Holistic World Intelligence from Human-Ego Experience
Human egocentric experience offers a rich foundation for learning how the world is organized and how it changes through interaction.MRI Reconstruction Risk Estimation from Inference Dynamics
Iterative MRI reconstructors produce intermediate estimates before returning a final image.PrismWAM: Decoupling State Representations in World Action Models
World Action Models (WAMs) typically represent the world through latent embeddings from pretrained video models, which entangle heterogeneous aspects of the world, from how it looks (e.g., texture…DenseHap: Dense Hand Haptic Estimation from Monocular Images
As dexterous robotic manipulation advances, scalable annotations of human hand-object interactions are becoming increasingly important.Drive2Gauss: FeedForward 4D Gaussian Reconstruction from Multimodal Generative Driving Videos
Generating reusable driving environments requires both controllable future observations and an explicit representation that supports rendering from different viewpoints, yet existing methods still…Scaling Vision Foundation Models for Toxicologic Pathology
Here, we present TOX-FM, a family of non-clinical PFMs trained on large-scale diverse histopathology datasets of over one million whole slide images consisting of over 60 organs across six animal…EgoXperience: Learning World-Grounded Egocentric Representations from Human Experience
Reconstructing human activity from egocentric video requires more than recovering individual 3D components: the observer's motion, surrounding geometry, and hand-object interactions must fit…Dual-Scale Condition-Shift Editing for Robust Real-World Image Demoiréing
Robust demoiréing of screen-recaptured images remains challenging: moiré varies in frequency, color, and spatial support across display-camera pairs and capture conditions.SpatialScout: Can VLM Agents Actively Explore and Map 3D Scenes?
Spatial intelligence requires agents to actively acquire visual evidence and integrate observations into a coherent representation of the three-dimensional world.CaptionFuse: Training-Free Composed Product Retrieval Via VLM Intent Captioning and Weighted Embedding Fusion
Composed Image Retrieval (CIR) retrieves products matching a reference image modified by natural language---a core capability for eCommerce search.From Short Clips to Real-Time Streams: Identity-Aware Supervision and Context-Efficient Generation for Video Face Swapping
Video face swapping transfers the reference identity to a target video while preserving its other attributes and motion.BrushOff: Stroke-Based Re-rendering as a Watermark Removal Attack on Painting
Invisible watermarks are used to mark who owns a painting.Foundation Model Driven Optical Flow
We investigate how frozen pretrained visual and depth representations support dense optical flow when coupled with a supervised matching network.PVBench: Quantifying Physical Plausibility in Video Generation with Object-Level Physical Measurements
Recent video generation models produce visually compelling outputs, yet their physical plausibility remains poorly measured.A Flexible ROI Analysis Tool for Spatially Consistent Vegetation Index Extraction from Turfgrass Imagery
Time-series multispectral imaging is widely used to assess turfgrass condition; however, extracting plot-level vegetation index (VI) values remains labor-intensive when camera positions vary between…PlanarCityLoc: Breaking Silhouette Ambiguity in LoD Aerial Localization via 3D Planes
Aerial visual localization is crucial for autonomous drone navigation in urban environments where GNSS signals are often degraded.CAVA: Complementary-Label-Aware Data Valuation
Complementary-label learning (CLL) trains a classifier from labels that name a class an instance does not belong to.CheckDistill: Adaptive Checklist Distillation for Efficient Distributional Reward Modeling in Image Editing
Reinforcement learning for instruction-guided image editing requires reward models that provide reliable, accurate, and efficient feedback.Beyond Omni: A Unified MLLM for Embodied Sensory Understanding
Recent embodied systems increasingly build on multimodal large language models (MLLMs) for their pretrained understanding and reasoning capabilities, but their perception of the physical world…V-JEPA Hand: Simple, Accurate and Fast 3D Hand and Camera Trajectory Recovery from Egocentric Videos
Egocentric video supports diverse applications, including robot learning, augmented reality, and human activity understanding.