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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 58
Interpretable Deep Learning Models for Breast Cancer Diagnosis Using Medical Imaging
Deep learning shows promise for breast cancer diagnosis, but limited interpretability hinders clinical adoption.GraftRay: Physically Based Mesh Insertion into Gaussian Splatting Scenes via Path Tracing
Inserting virtual objects into scenes reconstructed via 2D or 3D Gaussian Splatting (2DGS/3DGS) is a key capability for content creation, AR, and synthetic data generation.Zooming without Zooming v2: From Seeing Details to Connecting Evidence for Generalizable Multimodal Perception
Multimodal perception forms the foundation of multimodal intelligence.Learning to Code the World: Harness Evolution for Compositional 3D Reconstruction
Reconstructing editable and compositional 3D scenes from a real image requires jointly reasoning about geometry, object structure, and spatial relationships.Quantized Edge Inference of a Self-Supervised SAR-Optical Encoder on Commodity x86 Hardware
Self-supervised vision transformers are increasingly used as reusable encoders for Earth observation, but their inference cost on the hardware available in the field is rarely characterized.Systematic Morphometric Brain Autoencoding for Representation Learning in Neurodegenerative Diseases
Early identification of neurodegenerative disorders using structural T1-weighted MRI is essential for timely clinical intervention, yet supervised deep learning models often struggle to generalize…Learning to Look Beyond Screens: Transferable Visual Observation from GUI Grounding
Visual perception is evolving from passive recognition toward active, task-oriented observation.TriDifNet: A Unified Three-Task Diffusion Network for End-to-End RGB-T Perception
Infrared--visible (IR--VIS) multi-modal perception supports robust scene understanding under challenging illumination.SplatScout: Query-Driven Part-Level Referring Segmentation in Gaussian Scenes
Existing referring segmentation methods on Gaussian scenes primarily target whole objects, relying on segmenter-generated candidates from which a vision-language model (VLM) selects.A First-Step Bias Restores Lost Diversity in Diffusion Model Distillation
Distribution-matching distillation enables high-quality image generation in only a few denoising steps.Multibranch Ensemble Head in Vision Foundation Models for Efficient Cucumber Phenological Stage Classification
Vision Foundation Models (VFMs) pretrained with self-supervised learning, such as DINOv2, provide highly transferable features, yet adapting them to small, domain-shifted datasets is still…MCP-Net: Real-Time Coronary Perception Network and Topological Analysis for Robotic Guidewire Navigation
Coronary guidewire navigation during percutaneous coronary intervention requires continuous interpretation of vessel anatomy, guidewire position, and target stenosis under two-dimensional X-ray…MRI-to-CT Translation of Spinal Images via Anatomy-Guided Pseudo-Pairing and Adversarial Diffusion
Magnetic Resonance Imaging (MRI) is routinely used to diagnose spinal disorders, but surgical planning often requires Computed Tomography (CT) for better visualization of vertebral bone anatomy.Physics Guided Diffusion Model Based Exposure Interpolation for High Dynamic Range Imaging
Ghosting artifacts are an open problem for popular multi-shot based high dynamic range (HDR) imaging.MixSIS: Mixed-supervised instance segmentation
Weakly-supervised instance segmentation (WSIS) based on either box-, point-, or image-level annotations has been proposed to overcome the labor-intensive annotation process in fully-supervised…GCSR-OCC: Geometry Calibration and Semantic Routing for Open-Vocabulary Occupancy Prediction
Open-vocabulary 3D occupancy prediction represents scene geometry and semantics in a unified voxel grid, enabling recognition beyond predefined categories.FastBEVFusion: Simple Multi-Modal Fusion for 3D Object Detection at 50 FPS
Reliable real-time 3D object detection based on LiDAR and camera data is critical for safety in autonomous driving, where systems must accurately perceive their surroundings with minimal latency.INTR++: INterpretable TRansformer with better Accuracy, Interpretability, and Adaptability
Interpretable Transformers often perform well in domain specific settings but lose effectiveness beyond that.VGIQA: Fine-Grained Image Quality Assessment with Visual Grounding Rewards
Image quality assessment (IQA) aims to evaluate the perceptual visual quality of images.How Much Can Best-of-N Help a World Action Model? Measuring Selectable Headroom and Realizing It in Closed Loop
World action models (WAMs) predict the visual consequences of the actions they generate, which makes test-time selection a natural way to improve a fixed policy: imagine the futures of candidate…