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 83
WovenAnchor Matcher: Specialized Intra- and Inter-Image Context Modeling for Feature Matching
Semi-dense local feature matching commonly aggregates contextual information before coarse-to-fine correspondence estimation.DRILL: Training World Models to Improve Policies, Not Predict Pixels
World models are increasingly used to reduce environment interaction when post-training vision-language-action (VLA) policies with reinforcement learning.Loop to Look Better: Learning Adaptive Depth for Question-Guided Perception in Vision-Language Models
Visual perception should be iterative and task-directed, with representations refined in response to the question and the need for further processing.One Evaluation Is Enough: Inversion-Free Image Editing with Trajectory Correction
Real-image editing commonly relies on inversion and iterative sampling, while efficient one-step editors often stabilize a large update by estimating and averaging editing fields at multiple noise…RECAP: Looking Once Is Not Enough for Vision-Language Reasoning
Long chain-of-thought reasoning improves vision-language models (VLMs), but it also exposes a temporal grounding failure: as generation unfolds, models may drift from image evidence while…CAVC: Convergence-Adaptive Audio-Visual Cache for Modality-Asymmetric Diffusion Generation
Diffusion-based audio-visual generation methods typically perform joint denoising of audio and video latents throughout the entire sampling trajectory, repeatedly executing modality-specific…Direct Forcing: Single-Stage Training with Representation-Space Supervision for Few-Step Autoregressive Video Generation
Few-step autoregressive video generation enables low-latency streaming, yet prevailing training pipelines separate causal adaptation from distribution matching.Cross-Spectral Feature Fusion for Multispectral Document Binarization
Historical document binarization remains challenging when faded ink, bleed-through, and background degradation exhibit wavelength-dependent behavior across visible and near-infrared observations.Verus-Insight: Towards Explainable Artifact Detection in AI-Generated Videos
Recent advances in video generation have made synthetic videos increasingly realistic, placing greater demands on reliable AI-generated video detection.HimmBO: High-Dimensional Interactive Model-Merging Bayesian Optimization for Image Generation
Fine-tuning has become a common way to customize text-to-image models, leading to community collections of over 100K lightweight adapters.When Annotation Patterns Are Learned: Skin-Tone Dependence in Dermatology Concepts
Concept bottleneck models (CBMs) let clinicians inspect and correct skin disease diagnoses through clinical concepts, but only if the concept annotations are reliable.Query-Time Calibration of CLIP Features for Open-Vocabulary 3D Segmentation
Lifting vision-language features such as CLIP into 3D Gaussian reconstructions enables open-vocabulary segmentation through natural-language queries.H-2DGS: Height-Field Gaussian Splatting for Sharp and Deformable Neurosurgical Surface Reconstruction
Neurosurgical navigation commonly presents magnetic resonance imaging (MRI) as 2D slices, making it difficult to relate the anatomy in those slices to the cortical surface observed through the…Hierarchical Fine-Grained Cross-Modal Alignment via Dynamic Granularity Discovery and Optimal Transport
Fine-grained image-text retrieval requires a model not only to assess global semantic consistency between an image and a text, but also to model visual evidence for local textual semantics…Watch and Learn: Teaching Visual In-Context Learning by Removing Textual Shortcuts
Vision-language models (VLMs) struggle with in context learning compared to their textual counterparts.Making MLLM Latents Matter: Factor-Aware Predictive Learning for Cinematic Video Generation
Cinematic video generation requires both temporal inference from limited inputs (i.e., sparse rather than frame-by-frame guidance) and factor-aware control of character, scene, action, and camera.ICGF-CXRMate: Image-Conditioned Clinical Context Compression and Gated Fusion for Chest X-ray Report Generation
Auxiliary patient data can improve chest X-ray report generation, but directly concatenating heterogeneous clinical information with visual tokens produces long, variable-length decoder prompts and…Vision Transformers for Estimating Irradiance Using Data Scarce Sky Images
Accurate estimation of diffuse horizontal irradiance (DHI) is critical for optimising photovoltaic system performance and energy forecasting yet remains challenging in regions lacking comprehensive…GateFormer: Forecast-Space Decomposition for Intra-Hour Solar Irradiance Prediction from Sky Images
Sub-hourly dispatch, balancing, and storage control increasingly depend on forecasts that anticipate rapid variability in solar generation.Attention-guided classification and tumor localization of combined hepatocellular-cholangiocarcinoma
Combined hepatocellular-cholangiocarcinomas (cHCC-CCA) are a type of cancer that share components of two other primary liver cancers: hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA).