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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 111
Stable Signer V3: 4D Deformable Primitive Splatting Is All You Need for Sign Language Production
We present Stable Signer V3, an interactive high-resolution sign language avatar system built on 4D Deformable Primitive Splatting.LowNet: Looped Wavelet Neural Networks with 24 Learnable Parameters for Solving Poisson Equations
Poisson equations frequently appear in various fields, such as mathematics, physics and informatics.Meta Inverse Prompting for Video Generative Models
Recent advances in video generative models have enabled flexible conditional generation and editing pipelines, such as text-to-video, image-to-video, and reference-guided synthesis.Visual Sufficiency Landscapes: Understanding Query-Conditioned Reliability in Visual Token Pruning
Different visual token pruning strategies retain different subsets while maintaining similar task performance.MultiAltitudeSR: Multi-Altitude Agricultural UAV Image Super-Resolution via Physical Ground Sampling Distance Conditioning
Unmanned aerial vehicles (UAVs) enable high-throughput platforms for crop monitoring but face a fundamental trade-off between flight altitude and image spatial resolution.UtoMe: Observation-Uncertainty-Guided Token Merging for Weather Foundation Models
Weather transformers process dense reanalysis fields whose reliability varies across variables, locations, and weather regimes.ReTrace: Visual Backtracking for Efficient Multimodal Large Language Models
Multimodal Large Language Models (MLLMs) encode images into dense visual token sequences, creating substantial attention and KV-cache overhead.FineSplat: Fine Patches, Local Groups, Detailed Splats
Feed-forward 3D Gaussian Splatting (3DGS) promises instant scene reconstruction with high-quality novel-view synthesis.IECLA: Interpretable Emotion Contribution Learning for Affective Image Editing
Affective image editing (AIE) aims to evoke a target emotion while preserving the content and structure of a source image.PRET is a few-shot system for pan-cancer recognition without example training
Pathological examination stands as the cornerstone in cancer diagnosis, impacting millions worldwide annually.Localization and Neural Splatting on the Edge: An FPGA Scene Memory for Robots
Resource-constrained robots and autonomous vehicles need scene memories that localize a camera and render nearby views without a desktop GPU.MoWE: Spatially Adaptive Mixture-of-Wavelet-Experts Pooling for Ultrasound Lesion Segmentation
We present Mixture-of-Wavelet-Experts (MoWE), a spatially adaptive routing mechanism that replaces max-pooling and strided convolutions in U-Net architectures for ultrasound lesion segmentation.MoCKEFA: Model-Conditioned Keyframe Extraction and Fair Attribution for Video Model Explanation
We show that a video can be represented with just a few keyframes without sacrificing a given model's belief about the video.Sufficient Frame Subsets for Video Understanding
Understanding when during a video a model makes its critical observations is essential for interpreting video-understanding systems.Think Visually Across Space and Time: Grounded Reasoning for Video Segmentation
Video Reasoning Segmentation (VRS) requires a model to identify an implicitly described target and predict its pixel-level mask trajectory, while resolving the spatial relations and temporal events…LC-TSRNet: A Land-Cover-Guided Two-Stage Network for Annual MODIS Surface Reflectance Time Series Reconstruction
MODIS surface reflectance (SR) products often suffer from data gaps due to cloud contamination and sensor malfunctions, limiting their applications in long-term and large-scale studies.HullProbe: Measuring Interventional Part Reliance in Maritime Vessel Classifiers
Recognizing a vessel's type from an image supports maritime surveillance and sanctions monitoring, but a classifier can reach high accuracy by leaning on the generic hull instead of the more…Reflection-Guided Dynamics Rectification for Text-to-Image Generation
Fine-grained rectification of existing generations under a limited additional budget remains a key problem in test-time optimization (TTO) for image generation.Image Dehazing as In-Context Tabular Inference
Image dehazing is traditionally addressed through handcrafted physical priors or task-specific deep learning models, often requiring carefully designed architectures or extensive model training.PLANE: Plug-and-Play Fine-Grained Visual Experts for Hallucination Mitigation in Large Vision-Language Models
Large Vision-Language Models (LVLMs) commonly suffer from hallucinations, which appear as fabricating non-existent objects or outputting incorrect attributes and spatial relationships in images.