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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: 4,996 arXiv preprints and 4 OpenAlex records.
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Newest papers, page 203
On Color Alignment in VAE Latent Spaces and Its Applications
Variational autoencoders (VAEs) are a key part of modern text-to-image models, which generate images within their latent space.Graph-Based Recognition of Simulated Train-Driver States From Facial and Upper-Body Keypoints
Driver fatigue poses a significant challenge to railway safety, with traditional systems like the dead-man switch offering limited and basic alertness checks.A Data-Centric Review of Plant Disease Datasets: Taxonomy, Critical Analysis, Environmental Variability, and Implications for Precision Agriculture
Despite rapid advances in artificial intelligence, reliable real-world plant disease detection remains a persistent challenge.Smart Content Ingestion for Generative AI Workloads
The evolution of machine learning has progressively changed where intelligence resides in an AI system.MoonGS: High-quality Representation of the Lunar Surface via Gaussian Splatting Using Robust Depth Features from Image Pairs
High-quality 3D reconstruction of lunar terrain from sparse rover images is indispensable for autonomous lunar exploration, but remains challenging because viewpoint overlap is insufficient, surface…Sample-Optimal Estimation of the Fréchet Inception Distance
The Fréchet Inception Distance (FID) is widely used to evaluate generative models, but its empirical plug-in estimator suffers from finite-sample bias [BSAG18, CF20].R2RI: A Multi-View Event and RGB Dataset for Robot-to-Robot Interaction
Understanding and modeling interactions between autonomous agents is a fundamental challenge in robotics, with broad implications for collaborative systems, social robotics, and human-robot…PlaySuite: A Large-Scale Benchmark for Interactive Visual Intelligence
Recent advances in multimodal foundation models yield strong performance on static perception and reasoning benchmarks, yet such evaluations largely overlook a central aspect of intelligence: acting…CALR: Continuous Anchored Latent Reasoning via Render-of-Thought Compression
Visual latent reasoning compresses rendered derivations into compact intermediate states, reducing textual reasoning overhead.Energy-Conditioned Noise Schedule and Whitening for Spectral Diffusion
This paper introduces an energy-adaptive noise scheduling and whitening strategy for transform-domain diffusion models.RoboCap: A New Platform for Egocentric Robot Learning
Despite its promise for scaling robot learning, egocentric manipulation data is still scarce today.Deep Learning Based Illegal Bowling Action Detection
Cricket, often referred to as the "gentleman's game," adheres to a strict rule set for both batsmen and bowlers, where each delivery can significantly impact the match outcome.Monocular Navigation Relative to Unknown Spacecraft Using a Transformer-Aided Kalman Filter
This work presents a novel learning-based pipeline for pose estimation of unknown spacecraft using only monocular images from a single servicer.Hybrid Cross-Modal Attention Network for Early Breast Cancer Detection in Low-Resource Clinical Settings
Breast cancer is the leading cause of cancer-related mortality among women in Sub-Saharan Africa, where delayed diagnosis results from limited radiology expertise and fragmented clinical data systems.What Words Keep of a Place: Zero-Shot Language Reasoning for Cross-View Geo-Localization
Cross-view geo-localization is commonly solved as an image retrieval problem, matching a ground-level image against a database of satellite tiles through a jointly trained embedding.ATLAS-AL: Adaptive Trust-Region for Latent Adversarial Searches via Active Learning
Security evaluation of learning-based systems requires more than just testing the system against a fixed collection of attacks.Localize Any Object in X-Ray Security Scans without Human Annotation
Universal object localization in X-ray security inspection is critical for automated threat detection in safety-critical venues.Compositional Concept Erasure in Text-to-Image Diffusion Models via Hierarchically Grounded Semantic Surgery
Removing copyrighted, unsafe, or user-specified concepts from a deployed text-to-image diffusion model is now a practical requirement.A doctrine-grounded visual question answering dataset for Tactical Combat Casualty Care
Tactical Combat Casualty Care (TC3) requires responders to connect visual observations of injuries and interventions with established clinical guidance.Tracking Is Not Permanence: What Video World Models Keep of a Hidden Object
Video world models track objects they can see; we ask what they keep of objects they cannot.