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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 53
Calibrating Track-Query Updates at Test Time for Multi-Object Tracking
Multi-Object Tracking (MOT) requires localizing multiple objects and maintaining their identities over time.Vision-Based Density Estimation for Adaptive Traffic Control
Traffic congestion is becoming a critical challenge in rapidly growing urban centers, particularly in developing nations where rapid urbanization and inadequate transport infrastructure place…Residual Motion Splatting for Continuous Space-Time Video Super-Resolution
Continuous space-time video super-resolution produces a high-resolution, highframe-rate video from a low-resolution, low-frame-rate one at arbitrary spatial scales and temporal instants.UnMixMamba: Unmixing Guided State Space Subpixel Mapping of Crops from MODIS Time Series
Subpixel mapping (SPM) of crop types from \SI{250}{m} Moderate Resolution Imaging Spectroradiometer (MODIS) time series to field-scale Agriculture and Agri-Food Canada (AAFC) labels supports acreage…Similar Scores, Opposite Failures: Human Correction as an Instrument for Video Caption Evaluation
Video captioning models are increasingly evaluated with metrics designed for single-sentence image captions.The Power Watershed as a Differentiable Segmentation Layer
Can a Watershed transform, the classical tool of morphological segmentation, be placed at the end of a deep network and trained through?Self-Consistency Geometry Injection for Multi-view Consistent Image Generation
Recent diffusion models have achieved impressive progress in single image to multi-view generation by synthesizing consistent novel views efficiently.From the Superderivative to a Relative-Gradient Edge Operator
First-derivative edge detectors such as Sobel, Prewitt, Roberts and Scharr measure absolute grey-level differences.Detecting Fine-Grained Differences between Image Datasets
Detecting whether and in particular how two data distributions differ is a fundamental statistical problem.RoSAMDepth: Robust Self-supervised Depth Estimation Leveraging Segment Anything Model
Robust depth estimation aims to maintain high-quality depths across diverse conditions.SpectralTF-MAE: A Pre-trained Spectral Foundation Model for Tokamak Fusion Plasma Diagnostics
Spectroscopic diagnostics provide rich information for characterizing plasma states in tokamak fusion experiments, while existing learning-based approaches are often designed for individual tasks…Data Scaling Laws in Stereo Matching: From In-domain Fitting to Cross-domain Generalization
In the era of large models, stereo matching is developing towards generalizable foundation models trained on million-scale synthetic images.V-CAPE: Visual Consistency Assessment for Product Image Editing
Recent advances in generative image editing enable complex transformations such as background replacement, object manipulation, and pose adjustment from natural language instructions.TRIM: Temporal Run-Time Monitoring of 3D Object Detection via Activation Statistics
Reliable perception is essential to intelligent transportation systems, yet deep neural networks can silently miss safety-critical objects while continuing to produce apparently plausible outputs.Cross-Primitive Consistency in Jev
Jev enables efficient decision-making with large language models (LLMs) through typed querying primitives, allowing the same semantic state to be expressed in different formats, such as binary and…AskStream: When and What to Ask Proactively under Uncertainty in Streaming Video Understanding
Recent advances in multimodal large language models have increased interest in interaction paradigms for video understanding.Geometry Matters in Packed 3D Attention
Packing a 3D volume into a token sequence is not merely long-sequence modeling.inkGround: Benchmarking Fine-grained Visual Grounding Capabilities of Vision-Language Models for Cursive Handwriting in the Wild
Human handwriting is produced as an ordered sequence of pen movements, but an offline image keeps only the final ink.RuleForge: Inferring and Instantiating Latent Visual Rules as Executable Programs
Visual rule reasoning asks whether multimodal models can recover an abstract concept from a few examples.A 211K Parameter Foundation Model: Genetic Prompting in Neural Cellular Automata
The scale of modern foundation models enables broad task generalization.