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 19
Manifold Embedding of Deep Image Features for Image Matching via Neural Adjoint Maps
Estimating semantic correspondences between different object instances of similar categories in real-world images is a fundamental challenge in computer vision.Sparse Anchors for Visual Multi-Session Registration in Changing Environments
Repeated robotic monitoring requires localization across visits to the same environment, even if the environment changes.Characterizing the vertical continuity of fuel strata based on TLS point clouds Gaussian decomposition and overlap metrics
Vertical forest structure influences fire behavior by regulating understory-to-canopy fuel connectivity, yet operational fuel-type models represent this complexity through discrete classes that only…Label-Preserving Fourier Domain Adaptation with Generative-AI and Real Style Donors for 3D Mitral Valve Segmentation
Accurate segmentation of the mitral valve from three-dimensional transesophageal echocardiography (3D TEE) is severely restricted by the scarcity of publicly available expert- annotated volumetric…High-fidelity training-free photovoltaic module mapping from multi-view UAV imagery
High-fidelity photovoltaic (PV) module mapping requires complete instance recovery and accurate delineation.When Cell Crops Share a Parent: Measuring and Isolating Acquisition Leakage in Cervical Cytology Benchmarks
Public cervical cytology benchmarks release many cell crops cut from far fewer microscope fields or slides and are often split at the crop level, so test cells share acquisition parents with…Perturb, Repair, Verify: Self-Play Vision-Language Verifiers for Compositional Understanding
Vision-language verifiers judge whether an image faithfully matches a textual description, yet existing training pipelines typically rely on static supervision from stronger external judges or…PadLoc: Training-Free Floor-Plan Localization by Sparse Geometric Matching
We propose PadLoc, a training-free localization back-end that places a moving sensor within a known floor plan.What Does the Model See? Representation Validity in Multimodal LLM-Based Video Analysis
Multimodal large language models (MLLMs) allow social scientists to analyze video at scale, but researchers must decide which parts of a video to provide as input.From Natural Images to Medical Scans: Transferability of Diffusion Models for Medical Image Generation
Transfer learning from natural images is standard in supervised and increasingly adopted in self-supervised medical image analysis, but its role in generative modelling, and in particular diffusion…Factorized MLLM Embeddings for Composed Image Retrieval
Composed Image Retrieval (CIR) aims to retrieve a target image given a reference image and a modification text.Robust Reconstruction of Power Lines from Incomplete Mobile and Aerial LiDAR Data
Accurate vegetation-encroachment assessment and risk mitigation require electric utilities to accurately locate and characterize distribution-network assets, including poles and power lines, and…TAQ-MOTR: Tracking-Aware Detection Query Formation for End-to-End Multiple Object Tracking
Tracking-by-propagation (TBP) methods perform end-to-end multi-object tracking by propagating track queries across frames, jointly handling detection and identity association without heuristic…Diffusion Plug-in Priors for Self-Supervised Ultrasound Video Restoration
Ultrasound videos are limited by hardware-constrained spatial resolution and signal-dependent speckle, while paired low- and high-resolution acquisitions for supervised restoration are rarely…PLANTEUR: A Crop-Type Segmentation Benchmark for Tropical Regions
We introduce PLANTEUR, a benchmark for crop-type mapping from satellite images in the French overseas territories.Diagnosis by Composition: Detecting and Localizing Unseen Diseases by Composing Learned Radiological Findings
Deep models for radiological diagnosis are typically trained to predict disease labels directly from images, which limits them to diseases seen during training and makes their decisions hard to…Route Anything: A Study of Model and Policy Routing for General-Purpose AI Systems
Artificial general intelligence (AGI) requires a method that can understand, generate, reason, and act across diverse domains and modalities.Möbius: A Unified Motion-Language Model Bridging Understanding and Generation
We aim to build a truly unified motion model that can understand, generate, and edit human motion within a single framework.YANAMI: A Large-Scale Multimodal Dataset and Benchmark for Multiturn Stateful Interaction
Unified Multimodal Models (UMMs) integrate visual understanding, generation, and editing within a single unified framework.Anchored Rank-Adversarial Fine-Tuning Pretrained Visual Place Recognition Models
Visual place recognition (VPR) localises a camera by retrieving similar geo-tagged images, and current foundation-model VPR models are accurate across cities, seasons and illumination, but not…