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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 41
SATFRONT: Detecting Atmospheric Fronts with Satellite Data using Machine Learning
Atmospheric fronts are associated with much of the high-impact weather in the mid-latitudes, yet their identification and classification remain largely manual and subjective.A Better Critic Matters for Distribution Matching Distillation
Distribution Matching Distillation (DMD) trains a few-step student using the difference between a teacher's score and an online critic's estimate of the student distribution's score.ReLift: Dense 3D Tracking as Lifted Trajectory Repair
Dense 3D tracking from monocular video requires establishing point correspondences over time, estimating their depth, and inferring their trajectories during occlusion.RoboArchitect: Automating the Design of Robotic Agents with Persistent Memory
Recent work shows that a frozen robot policy performs far better inside an agent harness, where control code decides when to query the policy, consult vision tools, or command the arm directly.SemEllipsoid: Semantic-aware Shape Abstraction with Ellipsoid
Representing 3D shapes using a set of primitives - known as shape abstraction - is an actively studied problem in computer graphics with wide applications in shape understanding, analysis, and…Latent Reasoning in Continuous Space for Unified Multimodal Models
Unified Multimodal Models (UMMs) achieve remarkable success on diverse multimodal understanding and generation tasks, yet they still struggle to effectively leverage language-based chain-of-thought…GazeRIB: Systematic Evaluation of Multi-Reader Gaze-Guided Chest X-ray Learning
Radiologists' visual attention can supervise medical image learning, but how reader panel composition affects its value remains untested.Contrastive Astromer: Two-Stage Contrastive Representation Learning for Astronomical Light Curve Classification
Large astronomical surveys collect abundant light curves, but reliable class labels remain scarce.Interpretable Multiple-Instance Learning of Glomerular Pathomics and Subtype Ratios for eGFR Classification
Chronic kidney disease is characterized by structural alterations in renal tissue and progressive loss of kidney function.FlowFPR: Flow Matching Prior for Oversampled Fourier Phase Retrieval
Fourier phase retrieval reconstructs images from magnitude measurements without phase information, but noise and channel ambiguities make natural color-image recovery challenging.Interpretable structural temperature scaling for calibrating graph neural networks and point-cloud segmentation
Graph-aware calibrators make graph neural networks (GNNs) more trustworthy by predicting a temperature for each node, usually with auxiliary networks whose decisions are hard to inspect.AuroraWorld: Structured 4D World Modeling for Exo-to-Ego Video Generation in Robot Manipulation
Egocentric observations provide a robot-centric view of manipulation processes, capturing contact interactions and object-state changes that are important for visuomotor policy learning but…How to Simplify a Line Chart: A Taxonomy and Feature-Based Evaluation
Simplifying large or noisy time-series is often a prerequisite for producing interpretable line charts, yet existing methods vary widely in how they alter visual features such as trends, extrema…Learning to Live: A Step Toward Lifelong Embodied Intelligence
Embodied agents are usually organized around individual tasks, yet the physical world keeps changing between tasks and during execution.A Rate-Distortion Optimized Skip Mode Coding Framework for Neural Video Compression in AVS
With the development of deep learning, neural video compression (NVC) is gaining increasing interest and is currently under standardization in the AVS (Audio Video Coding Standard).Does Vendor Image Processing Matter? Learning Echocardiography Display Appearance from Native Beamspace Data
Most echocardiography datasets contain vendor-processed images, but processing is often undocumented and may affect model performance and robustness.MemU-Bench: Benchmarking GUI Agents on Long-Horizon User Interactions
Existing Graphical User Interface (GUI) benchmarks predominantly rely on precise and stateless user instructions.VC-1K: A Diverse Video Test Set for Real-Time Communication
We introduce Video Conferencing 1000 (VC-1K), an open-source test set comprising approximately 1,000 video sequences specifically designed for evaluating video processing and encoding pipelines in…Directional Dual-Head Supervision for Real-Time Source-Free Polyp Segmentation
Source-free domain adaptation (SFDA) is critical for medical image segmentation as it adapts a model to an unlabeled target domain without accessing source data, thereby preserving data privacy.SketchBloom: Training-Free Vector Sketch Outpainting with Stroke-Level Style Control
Outpainting sparse sketches while preserving contour coherence and stroke style remains challenging.