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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: 4,996 arXiv preprints and 4 OpenAlex records.
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Newest papers, page 199
ReMem: Streaming Video Understanding With Long Context Retention
Despite their impressive performance on a wide range of video understanding tasks, current Vision Language Models (VLMs) are predominantly designed for offline scenarios and struggle to handle…MEND: RL For Flow Models via Proximal Velocity Matching
Reward post-training of flow models either reweights the model's own samples under a KL penalty or a frozen reference, often for thousands of updates, or backpropagates the reward and moves every…JLD: Perceptual Distance Through A Jacobian Lens
Image compression, restoration, and generation all require a way to measure how different two images look to a person.Label-Free Coreset Selection with Foundation Models for Efficient Annotation in Computational Pathology
Computational pathology has the potential to improve clinical outcomes through a demonstrated increase in diagnostic and prognostic accuracy.From Transformation to Target State: Rethinking Query Representation for Zero-Shot Composed Image Retrieval
Composed image retrieval (CIR) aims to retrieve a desired target image from a query consisting of a reference image and a modification text.Ultrasound Operator Guidance Using World Modeling and Retrieval Based Action Planning
Ultrasound is widely used, but acquisition quality is heavily dependent on the operator's knowledge and expertise.Investigating Query-Insensitive Behavior in Spatio-Temporal Video Grounding
Spatio-temporal video grounding (STVG) aims to localize objects or events described by natural language queries in both space and time.Patch-based Querying Identifies Structures of Interest in Electron Microscopy
Volume electron microscopy (vEM) has emerged as an essential sensing technique in biomedical research, allowing the three-dimensional imaging of biological cells and tissues at nanometer-scale…Scalable Minimal-Change Learning for Controllable Image Editing
Image editing should change only the attributes specified by an instruction while preserving everything else, yet current methods often make unintended changes.How well do routinely collected demographic and clinical variables aid point-of-care lung ultrasound TB classification
We consider the fusion of lung ultrasound images with routinely-collected clinical and demographic data for the purpose of automated tuberculosis (TB) screening using deep-learning.Casual Flash Lighting for Gaussian Splat Inverse Rendering
Recovering geometry, materials, and lighting from photographs is highly ambiguous when only static illumination is available.Representation Disentanglement for Fair Chest X-Ray Diagnosis
Deep learning has advanced chest X-ray (CXR) diagnosis, yet demographic biases in learned representations may contribute to performance disparities across intersectional groups.Local2Mesh: Spatially Localized Contour-to-Mesh for Left Ventricular Reconstruction from Sparse 2D Cardiac MRI
Three-dimensional (3D) left ventricular (LV) reconstruction from sparse cardiac magnetic resonance (CMR) imaging remains challenging due to inter-slice misalignment and insufficient local spatial…ROT: Rotating Hidden States towards Contextual Vectors for Hallucination Mitigation in LVLMs
Large Vision-Language Models (LVLMs) frequently suffer from object hallucination.Vision Transformer Ensembles for Panoramic Street Segmentation
Semantic segmentation of street panoramas can support detailed descriptions of urban environments, yet small datasets and unequal training costs make model selection difficult.Anatomy-preserving unpaired cone-beam CT refinement for image-guided radiotherapy using pseudo-label guided diffusion
Cone-beam computed tomography (CBCT) is widely used in image-guided radiotherapy, but scatter, beam hardening, noise, truncation, and other artifacts limit image quality and CT number accuracy.Benchmarking CLIP for Zero-Shot Face and Periocular Gender Estimation
We investigate CLIP for zero-shot gender estimation from full-face and periocular images.AnchorGen: Anchored Optimization for Customizable Generative 3D Design
Engineering design often starts from a 2D sketch that fixes style and proportions, yet the subsequent 3D shape optimization relies on learned generative priors to keep the geometry valid.On Impact of Loss Function on the Performance of Neural Networks in Melanoma Diagnosis
Melanoma is the deadliest type of skin cancer, whose early diagnosis is crucial for patients' survival.Impact of Data Augmentation on Confidence Calibration in Melanoma Classification
Accurately quantifying the predictive uncertainty or improving model calibration plays an important role in medical image classification, in particular in melanoma diagnosis, where accurate…