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 24
Pair-Relative Partial Equivariance for Rotation-Robust Keypoint Descriptor Matching
Learned keypoint descriptors trained on upright imagery often fail under large in-plane rotation.DINOFAS: Bonafide-Centric Representation Learning for Face Anti-Spoofing
Face anti-spoofing (FAS) models often learn attack- and dataset-specific cues that degrade performance under unseen acquisition conditions and presentation attacks.Trace4D: Grounded Spatiotemporal Reasoning via 4D State Sequences
Understanding how objects and their spatial relationships evolve in 3D space over time remains challenging for vision-language models (VLMs), particularly under changing viewpoints.GaussFlaw: Fine-Grained Perceptual Diagnosis for 3D Gaussian Splatting
3D Gaussian Splatting (3DGS) enables photorealistic novel- view synthesis with real-time rendering, yet fine-grained di- agnosis of its rendering artifacts remains challenging.Unlocking the Potential of Vision Foundation Models for Multi-Task Dense Prediction via Mixture of Task Adapters
Multi-task dense prediction seeks a single, coherent representation that supports simultaneously discriminative semantic recognition and regularized geometric/structural inference.Human-Centred, Risk-Constrained Evaluation of Financial Document Recognition: Evidence, Critical Errors, and Selective Automation
Financial document recognition is often assessed using character and word error rates, although these metrics do not express whether a system preserves the financial facts on which people and…LipLingo: CNN Model for Lip Reading
Lip reading plays a crucial role in applications such as speech recognition, assistive technologies for the hearing-impaired, and biometric authentication.Lookahead Prediction-Guided Adaptive Visual Refocusing for Interleaved Multimodal Reasoning
Interleaved multimodal chain-of-thought reasoning improves the visual reasoning capabilities of multimodal large language models by dynamically incorporating visual evidence during reasoning.History Forcing: Distilling History-Dependent Continuations for Long-Horizon Video World Models
Few-step autoregressive video diffusion enables efficient generation, yet maintaining consistency over long rollouts remains challenging, especially when subjects or scenes reappear after going out…Local-Global Joint Modeling for Point Cloud Super-Resolution Guided by Multi-Scale Spatial Priors
Range-image-based point cloud super-resolution provides an effective way to reconstruct sparse outdoor point clouds by projecting low-resolution LiDAR scans into a regular 2D representation.OmniOPD: Stable On-Policy Distillation for Joint Audio-Video Generation
Reinforcement learning (RL) elevates joint audio-video generation, but optimizing heterogeneous, modality-specific audio and video rewards often introduces cross-modal interference.Disen-Forcing: Disentangling Semantic Anchoring from Motion for Autoregressive Video Diffusion
Autoregressive video diffusion models (AR-VDMs) enable real-time, long-horizon video generation but degrade rapidly once the inference horizon outruns the training horizon, due to compounding…Aerial Content-Aware Sample-Adaptive Classifier for Urban Photogrammetric Point Cloud Segmentation
Urban photogrammetric point clouds are commonly processed as local 3D patches, limiting the context available for distinguishing geometrically similar categories.Scaling Action-Free Video Latent Prediction for Transferable Representations in End-to-End Autonomous Driving
End-to-end autonomous driving policies require effective visual representations that capture both spatial scene structure and temporal dynamics.Task Adaptation Through Guidance in Frozen Feature Upsampling
Adapting features before upsampling can improve dense prediction, but the gains may arise from changes in feature values, spatial aggregation, or both.Solv3R: 3D Looped Transformer as a Multi-view Solver
Classical structure-from-motion reconstruction proceeds iteratively, refining camera poses and scene geometry from a current estimate.Performance evaluation of super-resolution techniques for characterization and phenotyping of commodity crops using multispectral imagery
Multispectral imagery provides spectral information beyond the visible range for vegetation monitoring, but it typically suffers from limited spatial resolution, which can obscure fine crop…ProtoFusion: Protocol-Guided Prompt Refinement for Generative Infrared and Visible Image Fusion
Infrared and visible image fusion integrates complementary information from both modalities to provide a more comprehensive representation of the scene.PhotoGuider: Composition-Aware Cropping and 360° View Framing with Explainable Photographic Assessments
Traditional image cropping assumes the photograph already contains the composition worth keeping, and asks only where to crop.TailorRig: Controllable and Structured Auxiliary Skeleton Generation for Garment-Aware Rigging
Humanoid rigging for modern characters with complex garments remains challenging due to the need for dense auxiliary skeletons and precise skinning control.