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Computer Vision
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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 132
OmniXRef: A Unified Framework for Multimodal Multi-Reference Video Editing
Creative intent in video editing can be expressed through text instructions (e.g., "remove the people"), image references (e.g., subject appearance), video references (e.g., camera movement), or a…Cross-Person Identity Change Under Source-Coupled Multi-Human Generation: A Controlled UniPortrait Study
Multi-human personalization must account for identity changes in people outside the nominal target of a generative operation.MedSTP: Preserving Subspace and Transition Evidence for Medical VQA Token Pruning
Medical vision-language models (VLMs) for visual question answering (VQA) often pass long visual-token sequences to the language model, making visual-token pruning attractive but risky for medical…Input- and Feature-Space Correction for Cross-Hospital IHC Grading
Pathology foundation models (FMs) are trained predominantly on hematoxylin and eosin (H&E) images but are increasingly used as frozen feature extractors for immunohistochemistry (IHC), where…Material and Defocus Cues for Occluded Object Localization in Single Hyperspectral Images: An Exploratory Study
Partial occlusion makes object detection difficult when visible regions have weak texture or similar appearance.ProV-Mem: Proactive Memory for Streaming Video Question Answering
Proactive streaming video question answering requires a model to continuously monitor an incoming stream and autonomously decide when to speak, what to say, and whether to emit a response.Causal Spatio-Temporal Neural Distance Fields for Counterfactual Cardiac Anatomy
Counterfactual cardiac anatomy can support risk modelling and intervention planning, by predicting how a patient's heart would change under altered clinical conditions.spora: A Unified Multimodal Dataset and Platform for Spatial Proteomics
Spatial proteomics (SP) captures the molecular composition and spatial organization of tissues at single-cell resolution, opening a direct view of the cellular ecosystems that drive disease.PACE: Pareto-Adaptive Compression for Efficient Native MLLMs
Native multimodal large language models (native MLLMs) jointly encode visual and linguistic sequences within a unified autoregressive Transformer, emerging as a promising paradigm for multimodal…Beyond Explicit Intent: Discovering and Shaping Artistic Intent through Human-AI Co-Creation
Generative AI is becoming an important medium for artistic creation, yet existing interactions often assume that creators can specify intentions in advance and accurately communicate them through…An Anatomy-Aware Staged Pipeline for Vessel-Specific Intracranial Aneurysm Segmentation in CT and MR Angiography
The TopAneu 2026 challenge requires intracranial aneurysms to be segmented at the voxel level and assigned to one of more than fifty vessel-specific classes, on CT and MR angiography alike.ChairNav: Cross-Embodiment Pre-training and Personalization for Long-Horizon Wheelchair Navigation
Developing autonomous electric wheelchairs capable of long-horizon sidewalk navigation is critical for accessible personal mobility, yet existing approaches either focus on indoor map-based…SonoWorld: Towards Interactive Pose-Controllable Ultrasound World Models
Robotic ultrasound can standardize image acquisition and reduce operator workload and variability, but policy learning remains limited by the lack of realistic, controllable simulation environments.NavAble: A Large-Scale Dataset and Synthetic Data Generation Pipeline for Blind Navigation
Reliable recognition of accessibility-critical objects (e.g., audible pedestrian signals, door-activation buttons, and handrails) is essential for assistive navigation technologies that support…MMKG-R1: Constructing Multimodal Knowledge Graphs via Reinforcement Learning
Multimodal knowledge graphs (MMKGs) organize information across different modalities to support multimodal Graph Retrieval-Augmented Generation (RAG), which aims to improve the performance of…Integrated Novelty Detection Systems: From Sensor Networks to Multi-Novelty Computer Vision
Novelty detection is crucial in various technological and scientific domains.VLX-Go: Robust Embodied Tracking through Multi-Stage Learning and On-Policy Refinement
Embodied visual tracking requires a robot to identify a designated target from visual observations and control its own motion to follow that target through an environment.The Impact of Detector Architecture, Model Scale, and Scene Density on Multi-Pedestrian Tracking
Pedestrian tracking in video is important for applications such as surveillance and scene analysis, but it becomes more challenging in crowded scenarios with frequent occlusions and rapid motion.Robust Explanatory Analysis for Structured Optimization Networks (REASON) in Learning
We seek a hierarchical resolution of residual error under a composite learning objective as a principled mechanism for identifying and exploiting additional information, particularly under…Train to Stitch: Topology-Preserving Regularization for Interoperable Representations
As large, powerful pre-trained models become more prevalent, there is growing interest in developing methods that allow different neural networks to be seamlessly combined with little or no direct…