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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 115
Spatons: Spatiotonally Localized Building Blocks for Efficient XR Predistortion
We present Spatons, a family of compositional, spatially localized neural operators for computationally efficient XR (extended reality) predistortion and distortion compensation.ZeroDSS: Semantic Segmentation from Class Names Alone
Semantic segmentation depends heavily on real images with pixel-level annotations, making dense supervision a major obstacle to deployment in new domains.S3D-Mosaic: Subgradient-Guided Cross-Band Structure Transfer for Spectral Demosaicing
Multispectral filter array (MSFA) imaging enables snapshot spectral acquisition, but its per-band sparse sampling causes severe spatial aliasing.BodyBridge: Grounded Body Layers for Sim-to-Real Translation of Vulnerable Road Users
Simulation-to-real driving video diffusion models can translate photorealistic scenes, but they typically represent pedestrians and cyclists, vulnerable road users (VRUs), as generic object classes.Do 3D Large Language Models Really Use 3D Evidence?
Recent 3D Large Language Models (3D-LLMs) have shown strong performance on scene question answering with extensive post-training.HumanSkill-4D: Training-Free Language Querying of Animatable Gaussian Avatars in Space and Time
We introduce avatar referring segmentation, which selects regions of animatable Gaussian avatars from language queries.O-SCD++: Replay-Free Online Scene Change Detection via Recursive Evidence Fusion
Online scene change detection requires an agent to detect what has changed in a previously mapped environment while it is still on site, observing from unconstrained viewpoints and without access to…Unifying Amplitude-Phase Coupling and Reliable Endogenous Priors for Low-Light Image Enhancement
Frequency-domain methods have shown strong potential for low-light image enhancement (LLIE) because they can effectively regulate global illumination.RiSE: Residual Subspace Expert for Generalizable Text-Centric Image Forgery Localization
As AI-assisted image editing becomes increasingly prevalent, Text-Centric Image Forgery Localization (TFL) is essential for protecting trust in financial and legal records.Investigating Length Bias and Robustness in LVLMs for Multiple-Choice Question Answering
Large Vision-Language Models (LVLMs) demonstrate strong performance on multiple-choice question answering (MCQA), yet their reliability under biased conditions remains underexplored.SAP-Depth: Scene-Adaptive Probability Framework for Self-Supervised Monocular Depth Estimation
Self-supervised monocular depth estimation remains challenging due to the loss of fine-grained details and limited adaptability to varying scene structures.BEM: Learning Bregman Divergences for Concept Erasure in Flow Matching Models
Concept erasure removes harmful, private, or copyrighted concepts from text-to-image models while preserving their other abilities.MOMO: Human Motion from Moving Sounds
Human responses to sound depend not only on its semantic content, but also on the evolving spatial relationship between source and listener, conveyed through spatial audio and its temporal dynamics.VisConf: Quality-Aware Consensus for Best-of-N in Vision-Language Model Reasoning
Best-of-N methods improve text-only LLM reasoning by sampling multiple trajectories before selecting an answer.An Optical Music Recognition Tool for String Quartets
This paper presents an optical music recognition (OMR) system tailored for PDF scores of string quartet pieces.Contrastive Hypergraph Source-free Domain Adaptive Object Detection in Adverse Weather Conditions--Extended Version
Adverse weather conditions such as fog, rain, snow, and low illumination introduce structured visibility degradations that severely impair object detectors trained on clear-weather data.Structured Latent Dynamics for Long-Horizon Embodied World Models
Reliable long-horizon prediction remains a central challenge for embodied world models.Write Once, Query Many: Evolving Compact Reusable Memory for Long Videos
Long videos often exceed the context capacity of multimodal large language models (MLLMs), while agentic search repeats costly video processing and grounding for each query.Theory-Guided Instance-Dependent Early Stopping via Second-Order Loss Dynamics
Instance-dependent early stopping (IES) reduces training computation by skipping backpropagation for examples whose losses have stabilized, but the second-order loss-difference criterion used by IES…Cross-polarization pairing for label-free few-shot thin-section classification
Few-shot classifiers of rock thin sections are meta-trained on many rock types that a petrographer has identified slide by slide, and this identification is the costly step that new collections lack.