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 146
Texture Interpolation as Texton Matching
Texture interpolation asks what should lie between two textures.PlanPath: Exploration-Guided Orchestration for Patient-Level Pathology Reasoning
A patient's pathology case spans tens of slides from distinct specimens and anatomical sites, each carrying non-redundant, site-specific evidence.Perception Beyond the Visible: Incompleteness-Aware Scene Understanding for Robot Autonomy
Reliable robot autonomy requires reasoning about the world from partial and noisy observations.RadarGSOcc: Doppler-Aware 3D Semantic Occupancy Prediction Using 4D Radar Tensor with Geometric-Semantic Feature Extraction
3D semantic occupancy prediction is crucial for autonomous driving, but camera-based methods degrade in low-light conditions and LiDAR-based methods are sensitive to adverse weather.RSIgen: Reciprocal Self-Improvement for Agentic Visual Generation
Agentic visual generation produces experience that can improve the native understanding (agent) and generation roles of a unified multimodal backbone, but task success alone does not determine which…Just Respect the Semantics: Image-Token Compression via Pre-LLM Semantic Variable-Resolution Tokenization and In-LLM Relevance Pruning
Image-token compression must reduce computation without hurting the semantics.Orientation Estimation of Cryo-EM Images for Molecules with Arbitrary Symmetry by Semidefinite Programming
This paper extends the non-unique games framework introduced in Bandeira et al. (2020) to address symmetric structures.GeoReader: Learning Latent Geometry for Spatial Reasoning in Vision-Language Models
Vision-language models (VLMs) struggle with metric and multi-view relationships that remain implicit in RGB observations.CryoTracer: A Synthetic-to-Real System for Filament Instance Tracing in Cryo-EM
Particle picking in cryo-electron microscopy is commonly formulated as an object-detection problem in which individual particles are represented by bounding boxes, a natural representation for…UniW(A)M: A Unified Mixture-of-Experts Framework for World and World-Action Models
World models (WMs) and world-action models (WAMs) focus on future world prediction and executable action generation, respectively.AIRRI: Towards a Human-Readable, Machine-Resistant Reading Interface
The rapid advancement of image-to-text extraction systems and large language models (LLMs) poses new challenges for educational assessment by making assignment materials easy to transcribe and solve…Segment Where You Look: Attention as the Interface Between Language Models and Segmenters
Vision-language models (VLMs) that segment from language must pass the location of the referent to a pixel decoder.Concealed Handgun Detection using WiFi Signals
While conventional camera-based surveillance systems and metal detectors can provide a sufficient level of security when used appropriately, they have fundamental limitations that reduce their…Context-aware Bayesian Fusion for Multimodal Object Detection
Reliable detection of pedestrians and road users is essential for the safe operation of autonomous vehicles.LayerCanvas: Infographic Generation in AI Learning Assistants via Hybrid Layer-Set Diffusion
Online learning platforms are increasingly deploying AI assistants to provide personalized, on-demand tutoring.MIST: Multi-Scale Spatial Context for Gene Expression Prediction from Histology
Predicting spatial gene expression from standard H&E images could extend molecular analysis to tissues without spatial transcriptomic measurements.The Federated Tumor Segmentation and Classification (FeTS++) Challenge
International challenges have become the standard for developing and benchmarking biomedical image analysis methods using centralized multi-institutional data.GAD: Geometry Attention Distillation for Consistent Video Generation
Video diffusion models generate visually compelling short-term sequences but often struggle to preserve scene geometry and object structure over time.Trust Before Autonomy: Rethinking Agentic Remote Sensing for Crisis Response
Agentic remote sensing is evaluated on how many questions it can answer, whereas crisis response depends on whether its answers can be relied on and how much of the decision can safely be handed to…Registration is a Representation Problem: Solving Whole-Body PET/CT Registration
Raw image intensities are a poor surrogate for similarity across images in correspondence problems.